Author: a16z Podcast

  • The Hustler’s Guide to Preschool

    AI transcript
    0:00:02 (upbeat music)
    0:00:15 – All right, well thank you all for coming.
    0:00:18 Today we’re gonna do an episode of our podcast,
    0:00:20 The Hustlers Guide to Tech.
    0:00:23 And what the Hustlers Guide to Tech is for,
    0:00:27 is if you have the talent, the desire,
    0:00:29 and the hustle to do great things,
    0:00:32 and are looking for that opportunity to shine,
    0:00:34 we’re here to help by introducing you
    0:00:38 to the technology platforms that can let you do just that.
    0:00:41 And so across from me, I’ve got my co-host Shaka Sengor.
    0:00:44 – What up y’all, good morning.
    0:00:48 – To my left are Hustler Sherry James.
    0:00:50 – Good morning.
    0:00:55 – Sherry has gone from teaching kids her whole career,
    0:00:59 to using Chris’s platform, who’s a CEO of Wonder School,
    0:01:04 to create, run, and most importantly, own her own school.
    0:01:08 (audience applauding)
    0:01:10 And this is Chris Bennett, the CEO,
    0:01:11 the founder CEO of Wonder School.
    0:01:12 – Hello everyone.
    0:01:14 (audience applauding)
    0:01:15 – All right, well let’s get into it.
    0:01:17 Chris, tell us about what is Wonder School?
    0:01:21 – So I grew up in Miami, Florida.
    0:01:24 My family is from Honduras.
    0:01:28 And growing up, I grew up in a pretty large family,
    0:01:30 one of 31 cousins.
    0:01:32 – Wow, that’s a lot of cousins.
    0:01:33 – There’s a lot of cousins.
    0:01:34 – So when you see somebody you’re just like,
    0:01:35 “What up cousins?”
    0:01:37 – Yeah, exactly, exactly.
    0:01:40 And when I was in third grade,
    0:01:43 I was in the gifted program, when I was in high school,
    0:01:44 had all of these options for college.
    0:01:48 I was the first in my family to go to college,
    0:01:50 went to the Wharton School.
    0:01:55 Of the 31 cousins, only four of us ended up going to college.
    0:01:58 And looking back on my childhood,
    0:02:00 there was one really unique thing
    0:02:03 about my experience relative to most of my cousins.
    0:02:06 I went to one of the best preschools in Miami.
    0:02:07 – Wow.
    0:02:12 – And when I, looking back on that experience,
    0:02:13 I moved to San Francisco
    0:02:16 and I realized there’s this huge shortage of childcare.
    0:02:17 And I’m hearing this from all over the,
    0:02:19 from a number of people.
    0:02:22 And thinking about that problem,
    0:02:25 I’m thinking, you know, how could we solve that problem?
    0:02:27 And I thought back to my sister,
    0:02:30 who went to an in-home daycare in our community,
    0:02:34 and the woman who started the school
    0:02:37 is still running her business today, 35 years later.
    0:02:40 I thought, you know, this could solve this problem.
    0:02:45 We could create a lot more programs and fill the gap.
    0:02:46 And so the idea was,
    0:02:49 what if we could help people start
    0:02:51 and operate their own child cares out of their homes?
    0:02:52 – Yeah, I think it’s something
    0:02:56 that we don’t really talk enough about in the country.
    0:02:57 It’s about ownership of the things
    0:02:59 that serve our community.
    0:03:02 Sherry, being an educator and being able to work
    0:03:04 with young kids very early on,
    0:03:08 what was it about like the idea of ownership
    0:03:10 that really resonated with you?
    0:03:13 – Well, I didn’t really know how or what to do
    0:03:15 to open my own program.
    0:03:17 I’ve always worked with someone else.
    0:03:20 And so I was trying to figure out what skills
    0:03:24 that I had to kind of help myself maintain my life
    0:03:26 as normal, as well as maybe be at home
    0:03:31 with my son at the time and then I found Wonder School.
    0:03:33 So they actually just helped me just kind of organize
    0:03:38 all my thoughts and my ideas on a website,
    0:03:41 as well as walking myself through the licensing process,
    0:03:45 gave me a sounding board to talk to and ask questions to,
    0:03:47 helped guide me through the licensing process
    0:03:50 ’cause it could be kind of a little bit overwhelming
    0:03:54 with all the applications and then you have all of the
    0:03:57 licensing requirements that you need to go through
    0:04:01 and then you have to have your inspections
    0:04:02 and things of that sort.
    0:04:04 So having someone to talk to throughout that process
    0:04:09 was really great, also setting up my actual environment
    0:04:11 because that’s also something that was really important
    0:04:13 to me, how do I turn my home into a school?
    0:04:16 So that was something that I also had to do.
    0:04:17 – Right, right.
    0:04:20 And how, like, what age kids do you have?
    0:04:24 – Currently, my youngest is, well, what’s four months
    0:04:25 and my oldest is four.
    0:04:27 You have to make sure that your home is safe
    0:04:29 and I try to allocate two rooms,
    0:04:33 as well as my outdoor place space for this program.
    0:04:35 So then that way, my kids feel comfortable.
    0:04:37 I was also, my family feels comfortable
    0:04:41 and they also have their own personal rooms as well.
    0:04:43 So we have a family room set up as well as a backyard
    0:04:46 to have a bonus room outside of my house as well.
    0:04:48 – One of the things I love hearing
    0:04:49 is that you keep saying my kids,
    0:04:52 ’cause I got a little confused when I’m like zero and four.
    0:04:53 I’m like, okay, what about the other kids?
    0:04:56 But as a parent, I have a seven-year-old son
    0:04:58 and it’s really important for me to know
    0:05:01 that any space that I bring my son into,
    0:05:02 that he’s loved, that he’s welcomed,
    0:05:04 that he’s healthy, that he’s whole.
    0:05:06 So hearing you just refer to the kids
    0:05:08 in that manner is really exciting.
    0:05:10 One of the things Ben and I were just discussing
    0:05:12 was like, how do you market things
    0:05:14 and how do people learn information?
    0:05:16 – If I was just on Facebook one night,
    0:05:18 just kind of scrolling through my feed
    0:05:20 and watching, that’s kind of my entertainment.
    0:05:23 And I came across and it was Chris
    0:05:25 and I was asking for, if you’re interested
    0:05:29 in opening your own program to contact them.
    0:05:32 And then you had to fill out a little bio or interest page
    0:05:34 and then you also had to take a picture.
    0:05:36 But your space did not have to be set up.
    0:05:37 That was a great thing about it
    0:05:39 ’cause my space was not quite set up yet.
    0:05:42 It was just a family room at the time.
    0:05:44 And then they got back to me
    0:05:45 and they walked me through the process.
    0:05:47 – Yeah, and Chris, how do you like help people
    0:05:50 like Sherry market her program
    0:05:52 so that they can expand and get more students?
    0:05:54 – There are a number of ways.
    0:05:59 So most, a lot of parents sort of congregate
    0:06:01 and they congregate online and offline.
    0:06:04 So they’ll congregate in a lot of parent groups
    0:06:07 and a lot of like mom groups on Facebook.
    0:06:09 And so we work with all of our directors
    0:06:12 to promote their businesses in those areas.
    0:06:16 And then we do a lot of marketing through ads
    0:06:19 and through a lot of events.
    0:06:20 – One of the reasons for the podcast
    0:06:23 is really to make technology more accessible to people,
    0:06:26 especially people who don’t come through
    0:06:28 like the more what they interpret
    0:06:30 as a stereotypical nerdy spaces, right?
    0:06:33 And there’s something really appealing
    0:06:35 about being able to reach parents
    0:06:38 and connect with parents who most people may not think
    0:06:39 would jump into the business model.
    0:06:42 So how has that experience been,
    0:06:45 you know, seeing people who are really interested in
    0:06:47 that may not come through the normal pipeline?
    0:06:50 – From a parent standpoint or from a director standpoint?
    0:06:51 – From a parent standpoint.
    0:06:54 – Yeah, I mean, what we find is that
    0:06:57 a lot of the parents we work with is their first child
    0:06:59 and parents who have their first child
    0:07:03 are very, very nervous and protective.
    0:07:04 – Protective, yeah.
    0:07:06 – Of their child.
    0:07:07 – By the eighth kid, it’s like–
    0:07:09 – By the eighth kid, it’s like, just take the kid.
    0:07:11 (laughing)
    0:07:14 And so one of the things we think a lot about
    0:07:19 is making that experience feel comforting for the parent
    0:07:21 as they’re going through the process.
    0:07:23 One thing we like to do is make sure
    0:07:25 they see a lot of schools so they can get a sense
    0:07:27 of the different types of programs
    0:07:29 that they can choose from.
    0:07:31 And then once they find a program,
    0:07:33 we actually don’t stop there.
    0:07:35 Like it’s really common for a child to cry
    0:07:37 on their first day of school
    0:07:39 or maybe even their first week of school.
    0:07:42 And parents get really nervous.
    0:07:43 They get really freaked out
    0:07:45 and they think that something is wrong.
    0:07:48 And we essentially coach parents through that experience.
    0:07:51 And then the idea is, how do we help that parent
    0:07:54 become a better parent and work with the director
    0:07:56 so that they can ensure that their child
    0:07:57 gets developed the right way?
    0:07:58 – That’s a funny story.
    0:08:00 When I was a kid, my mom told me this story.
    0:08:03 She dropped me off at preschool and I started crying
    0:08:06 and the school is like, just leave them here.
    0:08:07 He’ll be fine. – Exactly.
    0:08:09 – And she comes back three hours later
    0:08:11 and she said, I was still crying
    0:08:12 and soaking wet from tears.
    0:08:14 (all laughing)
    0:08:19 I was a bad kid, but usually most of them are better.
    0:08:21 Sherry, one thing is a lot of parents
    0:08:24 have trouble affording a preschool program,
    0:08:26 but you’ve been able to help them with that.
    0:08:27 Tell us how you did that.
    0:08:29 – Well, one thing that I’ve implemented in my program
    0:08:31 is I accept subsidies.
    0:08:33 So what subsidies are, basically,
    0:08:36 there’s different programs on the county you live in
    0:08:39 that help parents afford child care.
    0:08:41 So I try to make sure I have room in my program
    0:08:42 for those children as well.
    0:08:44 – How did you learn how to accept subsidies
    0:08:45 and do that kind of work?
    0:08:47 – Well, that was something that was really important to me.
    0:08:49 I wanted to offer a high quality program
    0:08:53 in an area that maybe normally doesn’t offer certain things.
    0:08:55 I want to have a play base.
    0:08:57 I wanted to have an outdoor program.
    0:08:59 It’s really important, I think, for kids to play outside
    0:09:01 and have that outdoor experience.
    0:09:03 We have a garden and mice program,
    0:09:05 so we have a lot of hands-on activities
    0:09:07 within seeing the food grow and how to plant.
    0:09:08 – Oh, that’s great.
    0:09:11 – And then walking them through that process as well,
    0:09:12 teaching them where our food comes from.
    0:09:15 – Jen, so how did you start out?
    0:09:17 Like, what was this background in early childhood education
    0:09:18 that you had?
    0:09:21 And then just for yourself with your kids.
    0:09:24 I mean, your other kids that were your kids.
    0:09:25 Like, how did you think about that?
    0:09:27 – So I did a traditional path.
    0:09:30 I went to school all through college.
    0:09:34 I always worked in an example of education or administration.
    0:09:36 As I worked my way up through the ranks,
    0:09:38 I automatically went through administration
    0:09:41 and instead of working somehow in social work.
    0:09:43 Then I was doing social work for over 10 years,
    0:09:46 working with the homeless downtown in Los Angeles.
    0:09:49 And also working with children and families
    0:09:51 of intellectually disabled individuals,
    0:09:54 doing casework as well as social work in that environment.
    0:09:59 And then I also did some behavioral type positions.
    0:10:01 And so I wanted to kind of link all of my skills
    0:10:03 into one platform.
    0:10:07 I was trying to figure out a way to service my community,
    0:10:10 utilize the skills I have as well as open my own business.
    0:10:14 So initially, my target was to create an environment
    0:10:16 for children with special needs.
    0:10:17 I wanted to take all the children
    0:10:19 that the other program did not want.
    0:10:20 – Right, right.
    0:10:22 – I wanted to link them into my program.
    0:10:24 That was my initial idea of how I thought
    0:10:25 I would work everything out.
    0:10:26 – Yeah, that’s a lot of work.
    0:10:28 That’s the highest degree of difficulty
    0:10:30 we have in special needs. – Definitely, definitely.
    0:10:33 But it takes like, you know, if you have a love for that,
    0:10:34 then it doesn’t feel so bad.
    0:10:36 It doesn’t feel like so stressful.
    0:10:41 You know, I actually prefer those children sometimes
    0:10:42 because the thing about it is people always think
    0:10:44 that those children who have the special needs
    0:10:46 are gonna be the one to be the most challenging.
    0:10:49 No, no, no, it’s those ones who think they know everything
    0:10:52 and they’re the one to give you all the problems.
    0:10:55 You know, the children who have intellectual disabilities,
    0:10:59 they don’t come into it thinking that they know everything.
    0:11:00 They come into it thinking that you’re probably
    0:11:01 gonna automatically reject them
    0:11:04 and all their behaviors already off top.
    0:11:05 – And you know, when you were doing the social work,
    0:11:07 were there things that you took away
    0:11:10 from the programs that you used to route kids into
    0:11:13 that you should and should not do with your own business?
    0:11:14 – Definitely.
    0:11:16 We do an interview when you come into my program.
    0:11:17 You do a tour and you do an interview.
    0:11:20 You’re interviewing me, I’m also interviewing you.
    0:11:22 – And are you interviewing the parents or the kids?
    0:11:24 – Both, both.
    0:11:27 I try to, I prefer if the parents bring the child,
    0:11:30 of course, we can bring them into the space they can play.
    0:11:32 I usually try to do it during the hours
    0:11:34 where we have an activity going on
    0:11:36 or we have a rare outside play
    0:11:38 and so ’cause children learn through play.
    0:11:41 So you get the chance to learn a lot about the child
    0:11:44 and the parent by letting the child just simply just play.
    0:11:45 Some parents have a really hard time
    0:11:47 letting their kids just play and just go.
    0:11:48 It’s really interesting to watch.
    0:11:52 – Chris, one of the things that’s really been exciting
    0:11:57 for me being a father and understanding
    0:12:01 like what children need from men and the importance of that.
    0:12:04 So when I found out about your work, I was excited
    0:12:07 ’cause I’m like, okay, and it’s a cool young brother
    0:12:09 and he’s being thoughtful about children
    0:12:12 and really creating space for them to be nourished
    0:12:15 and raised in a healthy and whole environment
    0:12:19 and ownership, like what does that look like for you?
    0:12:21 Like in terms of like, who are the entrepreneurs?
    0:12:25 – Yeah, so the makeup of the entrepreneurs is all women.
    0:12:30 We have hundreds of programs on our platform.
    0:12:32 – It’s a good thing we’re at Essence.
    0:12:33 (laughing)
    0:12:34 – It’s true.
    0:12:37 There’s only one guy who runs a Wonder School
    0:12:38 and it’s very personal for me.
    0:12:43 My mom was an entrepreneur and I saw her start businesses.
    0:12:45 A number of them didn’t work out
    0:12:48 but some of them did and I got to work really closely
    0:12:51 with her to build the companies that she was working on.
    0:12:53 And so it feels very familiar for me
    0:12:55 to empower women on the platform
    0:12:57 to start these businesses and grow them.
    0:12:59 – What do you look for in an entrepreneur?
    0:13:02 Because not everybody is kind of cut out
    0:13:06 to run a super high quality early education program.
    0:13:09 So what do you screen for?
    0:13:11 – So there’s a couple of key things.
    0:13:13 One, you have to love children like that.
    0:13:15 That’s like a must.
    0:13:16 And so if we meet someone who’s like,
    0:13:19 “Hey, I just want to make a quick buck
    0:13:22 “but I’m not really that interested in the children aspect.”
    0:13:24 Probably not the right fit.
    0:13:26 – My preschool has a lot.
    0:13:27 – Right, right, right.
    0:13:28 Not the right fit.
    0:13:31 The other thing is grit.
    0:13:33 Like starting one of these businesses
    0:13:35 and getting it up and running,
    0:13:37 especially when we go to a new market
    0:13:40 where we don’t necessarily have a presence there.
    0:13:43 We have to partner really closely with the director
    0:13:45 to actually make their business successful.
    0:13:50 And you need to have grit to get through the early months
    0:13:52 of getting your program up and running.
    0:13:55 And then once you get the parents in the program,
    0:13:58 continually running your business.
    0:14:02 It’s really rewarding but there’s ups and downs as well.
    0:14:04 And so we’re looking for individuals
    0:14:07 who are ready for that experience.
    0:14:09 – Sherry, what would you say to somebody
    0:14:13 who’s looking to take that leap from nine to five,
    0:14:14 working for somebody else
    0:14:17 to really establish their own business?
    0:14:19 What would be your words of wisdom?
    0:14:21 – Honestly, I would just tell them
    0:14:22 that their heart is leading them down this path
    0:14:25 of entrepreneurship and go for it.
    0:14:27 But just know that it’s not gonna be easy.
    0:14:30 You’re definitely gonna have those challenging moments
    0:14:33 and times if you’re gonna have your highs and your lows.
    0:14:35 But if you’re willing to stay the course
    0:14:38 and keep your eye on the prize, then you’ll get through it.
    0:14:39 You know, there’s every obstacle.
    0:14:42 I always say like too much is given, much is required.
    0:14:45 There’s been plenty of times where I had to call Chris here.
    0:14:47 (laughing)
    0:14:49 When I was concerned about my enrollment numbers
    0:14:51 and I’m like, “Chris, I’ve been open for over four months.
    0:14:54 “I’m not full yet,” you know.
    0:14:56 And you have to know your environment.
    0:14:57 It takes some time to learn that.
    0:14:59 It takes time to learn your business.
    0:15:01 You know, I’ve been open almost three years now
    0:15:03 and still I’m learning.
    0:15:05 I’m always changing my program.
    0:15:08 I’m always adapting it to the clients that I have
    0:15:11 and the children that I have and I’m servicing.
    0:15:15 – Yeah, one of the things that really inspired us
    0:15:17 is removing some of the mental barriers
    0:15:18 that stand in the way.
    0:15:19 It can be intimidating, right?
    0:15:21 If you don’t come from technology
    0:15:23 and what would you say to somebody that’s saying,
    0:15:25 you know, I really wanna get involved
    0:15:27 but I’m a little bit intimidated by the platform.
    0:15:29 Like, what are some things
    0:15:31 that makes that more accessible to people?
    0:15:32 – I would say the only question that’s done
    0:15:34 is, is it one that you didn’t answer.
    0:15:36 ‘Cause the thing about it is you just don’t know.
    0:15:38 Then don’t ever assume anything either.
    0:15:39 And if you don’t know,
    0:15:40 I’m always asking my students questions.
    0:15:41 I’m always asking my parents questions.
    0:15:42 Is this working for you?
    0:15:44 If it’s not working for you,
    0:15:46 how can we both make this work?
    0:15:48 You have to be able to adapt and change to your environment
    0:15:50 because every day is so different.
    0:15:53 You know, one week we might be doing yogurt all week.
    0:15:55 Everybody’s eating yogurt just fine
    0:15:56 but next week everyone hates yogurt.
    0:15:58 So you have to come up with something else for them to eat.
    0:15:59 – Yeah.
    0:16:00 – Just something new to learn.
    0:16:02 So as long as you’re not willing to,
    0:16:04 as long as you’re willing to open your mind,
    0:16:06 open your thoughts and keep challenging yourself,
    0:16:08 you’ll get through it.
    0:16:09 – Cool, cool.
    0:16:11 As we’re on this journey of really learning
    0:16:13 and understanding like the background part
    0:16:16 of building up these type of businesses, these platforms,
    0:16:20 one of the things that really stands out to me is like,
    0:16:26 you’re a young brother in this tech space.
    0:16:29 It’s one of the conversations that’s not talked about enough.
    0:16:31 Like what are some things that we can be doing
    0:16:33 to not only celebrate and lift that up,
    0:16:36 especially given we’re at essence 25th anniversary,
    0:16:38 but to make that part of just a normal conversation,
    0:16:40 where people walk in the room,
    0:16:42 is the expectation is that it’s okay
    0:16:45 to run these tech-based businesses
    0:16:47 and really to utilize them in a way
    0:16:50 that helps the rest of the community see
    0:16:52 where they can add value at.
    0:16:54 – Yeah, that’s a great question.
    0:16:59 Being a black man who’s an entrepreneur in San Francisco
    0:17:00 is pretty rare.
    0:17:02 (all laughing)
    0:17:04 – That’s an actual unicorn.
    0:17:06 (all laughing)
    0:17:10 I think a lot of it, I’m really fortunate for my upbringing,
    0:17:15 where I saw a lot of people in my family start businesses
    0:17:20 and my uncle runs a very successful hospital in Honduras,
    0:17:25 my another uncle runs a import-export business in Miami,
    0:17:27 my dad ran a grocery store,
    0:17:32 my mom ran a perfume business and is a tax preparer.
    0:17:36 I saw a lot of people in my family sort of choose
    0:17:38 to go their own way.
    0:17:41 I didn’t know that people went to college to get a job.
    0:17:43 I thought you went to college to learn
    0:17:45 so you could go eventually start your own company,
    0:17:46 that’s why I went.
    0:17:51 And so I think that one of the key things
    0:17:57 to increase the exposure of black individuals
    0:18:02 in technology, one of the things is expose people
    0:18:05 to entrepreneurship really early.
    0:18:06 And I think that’s what’s really cool.
    0:18:08 All of the women that are starting businesses
    0:18:10 on Wonder School are entrepreneurs
    0:18:13 and they’re exposing not only their children to it,
    0:18:15 but the communities that they’re serving
    0:18:18 to entrepreneurship and the joys of it.
    0:18:20 – I come from a history of entrepreneurship too,
    0:18:21 it’s a little bit different.
    0:18:21 – It’s a little different.
    0:18:23 – Noir’s differences.
    0:18:25 But what I learned in that culture
    0:18:27 is that there are transferable skills.
    0:18:30 – As we think about how tech is removing barriers
    0:18:33 to entry, what would you say to somebody
    0:18:35 who doesn’t come from that traditional path,
    0:18:36 that doesn’t come from a college
    0:18:39 or doesn’t come from a family background
    0:18:40 and just say, you know what,
    0:18:42 I need to figure out how to take ownership of my life,
    0:18:44 ownership of my destiny.
    0:18:48 I want to venture off into entrepreneur leadership.
    0:18:51 What do you say to those people who come from that culture
    0:18:53 where they have these transferable skills
    0:18:55 but may not feel like they have access?
    0:18:56 – It’s interesting you say that
    0:18:59 because I try to teach the kids from very small
    0:19:01 to take ownership in their decisions, right?
    0:19:03 So I try to tell my kids all the time,
    0:19:05 you have good choices and you have bad choices.
    0:19:08 And there’s consequences for every choice you make, right?
    0:19:09 So at the same time to make,
    0:19:12 I would say, mixing smart, sexy, right?
    0:19:12 So you have to let them know like,
    0:19:14 oh my gosh, you make such a positive choice
    0:19:18 in making this decision and go in this direction, right?
    0:19:19 Or if they come up with their own idea,
    0:19:23 they’re making every idea, giving them empowerment,
    0:19:25 telling them what a great job that they’re doing.
    0:19:30 From small, I think it starts at a very young age.
    0:19:31 You can see the difference in the children
    0:19:35 who get chest eyes for making mistakes.
    0:19:37 So you make a mistake, it’s okay.
    0:19:39 Okay, so let’s get back up, let’s figure this out
    0:19:41 and let’s go another direction.
    0:19:43 You cannot, you can’t dwell on that.
    0:19:45 They don’t believe in chest, I think, kids
    0:19:47 for making mistakes ’cause that’s what they’re doing,
    0:19:48 raw learning and growing, right?
    0:19:51 Even when Mr. Cherry makes mistakes,
    0:19:54 I take ownership on that ’cause the kids will correct you,
    0:19:57 they do and they let me know if I get off schedule,
    0:20:00 they’ll let me know, oh my gosh, well you forgot to do
    0:20:01 and it’s okay.
    0:20:05 My youngest biological child is four years old
    0:20:08 and my oldest is 13, so I’ve taught my daughter,
    0:20:10 my oldest, she will tell you off the back,
    0:20:13 like she knows that there’s opportunities past
    0:20:16 just going to college and she can own her own business,
    0:20:17 that there’s opportunities there.
    0:20:20 I believe that I’ve embodied that for her
    0:20:22 as well as just helped mold her ideas
    0:20:24 and thought to let her know that she can control
    0:20:26 her own destiny and that.
    0:20:28 – I’m so happy you brought that into the conversation.
    0:20:30 I think one of the intimidating factors
    0:20:32 about venturing off into entrepreneurship
    0:20:35 is nobody wants to fail, nobody wants to mess up
    0:20:38 and make any small failure, right?
    0:20:40 – I had a nine to five job.
    0:20:43 So I had a pension, I had all those different things
    0:20:47 that you’re supposed to have, I was a new homeowner.
    0:20:50 So to step out on faith and start my own business,
    0:20:52 my family was like, are you crazy?
    0:20:54 Like, what is wrong with you?
    0:20:56 Like you have a degree, like you have a job,
    0:20:57 you’re working for like the state,
    0:20:59 why would you want to do that?
    0:21:00 And for me, it was more so like,
    0:21:03 I just wanted to take control of my own destiny.
    0:21:05 (audience applauding)
    0:21:07 I really just wanted to take control of my own life
    0:21:10 and decide like, what my future will look like.
    0:21:11 You know, I wanted to get up every day
    0:21:14 and feel like my work is actually making a difference
    0:21:17 directly and it wasn’t just about the reports,
    0:21:19 it wasn’t just about the numbers and someone else’s numbers
    0:21:21 and making someone else money.
    0:21:25 It was about, you know, how could I manage my own household?
    0:21:29 I just wanted to be able to make it, let me make it,
    0:21:31 and make the minimum income.
    0:21:33 But it’s so funny now, it’s like,
    0:21:36 through entrepreneurship, I’ve surpassed all that.
    0:21:37 – Yeah, yeah.
    0:21:39 – Yeah, I think on a broader level,
    0:21:43 that’s so much the key to everything
    0:21:47 because as you can move from a model of,
    0:21:51 I’ve got a boss, now I’m vulnerable to the boss.
    0:21:56 And you know, I’m often, because of that, I end up in debt.
    0:22:00 And then you move to, no, I’m an owner and I have equity.
    0:22:03 And so that’s how you kind of create a whole other world.
    0:22:08 And it’s interesting that it starts in preschool
    0:22:11 with owning your own decisions
    0:22:13 and not being afraid to make a mistake
    0:22:14 and not being negative with kids,
    0:22:18 which is a, you know, that’s a cultural thing,
    0:22:21 which, you know, it starts right there to change.
    0:22:23 If you want to get to a culture of ownership,
    0:22:25 you got to make the kids owner.
    0:22:27 And if they’re going to be owners,
    0:22:28 then they can’t be penalized.
    0:22:30 That’s an amazing insight.
    0:22:34 – Yeah, so speaking of that, that culture of fear.
    0:22:36 So how do you combat that when you’re dealing with parents
    0:22:40 and you’re just like, oh, I have to send them back home.
    0:22:42 I’ve been a mentor for a long time.
    0:22:44 And one of the biggest battles
    0:22:47 that I’ve ever had the father’s known that these children
    0:22:50 who, you know, who I’ve been entrusted with,
    0:22:51 they’re going home to families
    0:22:55 who don’t have the same belief system about ownership,
    0:22:57 about failure, about not punishment,
    0:23:00 but really helping people to understand and navigate that.
    0:23:03 So you’re working with these young precious minds,
    0:23:06 but you’re competing with what’s happening in the household.
    0:23:07 How does that show up?
    0:23:09 Whether it’s in your curriculum
    0:23:11 or just your engagement with the parents.
    0:23:13 And like, what does that look like across the board?
    0:23:15 – It’s all about building trust,
    0:23:16 building a relationship.
    0:23:18 So from the very beginning, you know,
    0:23:19 I have to teach my parents
    0:23:21 so they have to be able to trust me.
    0:23:23 I would let them know if you don’t trust me,
    0:23:26 then maybe it’s not the right place for you.
    0:23:28 – So you’re teaching the parents as well, which is…
    0:23:31 – Yes, I always say I’m teaching my parents
    0:23:34 sometimes first, then I’m teaching my students.
    0:23:35 You know, you teach people how to treat you
    0:23:37 at the end of the day.
    0:23:40 So I think that a lot of times with my parents,
    0:23:41 if they have any questions or concerns,
    0:23:42 I let them know.
    0:23:44 They can call me a thousand and one times today.
    0:23:46 They can text me a thousand and one times today.
    0:23:48 Doesn’t mean I’m gonna answer every single text,
    0:23:51 but just know that I will respond to you.
    0:23:53 Through the platform, we have an app now
    0:23:55 that we can communicate with our parents.
    0:23:55 – Oh, that’s great.
    0:23:57 – So we can let them parents know
    0:23:59 what’s going on throughout the day.
    0:24:00 Even before that,
    0:24:02 I think that I just message my parents,
    0:24:04 letting them know how their students are doing,
    0:24:05 letting them know that they’re having
    0:24:07 a really stressful morning
    0:24:08 and that they’ve been crying for over two hours.
    0:24:10 Like that’s something that I would have implemented
    0:24:11 in that situation.
    0:24:12 – They’re having a bend.
    0:24:13 They’re having a bend.
    0:24:16 – They’re making me right out of the preschool.
    0:24:18 – I wouldn’t have let you cry for two, three hours.
    0:24:20 I wouldn’t have, we’ve had to figure something out.
    0:24:24 But those are different things that I do
    0:24:27 to try to make sure that my parents feel comfortable
    0:24:28 and my students feel comfortable.
    0:24:29 But it’s really interesting.
    0:24:32 It’s once my students come into my household,
    0:24:35 my biologic kids get jealous.
    0:24:38 And sometimes my students are more comfortable
    0:24:40 without my kids there.
    0:24:42 So like during the summertime, for example,
    0:24:44 our space is combined.
    0:24:49 So it’s interesting when my infants are looking at my kids,
    0:24:52 like, why are you trying to take my attention away from,
    0:24:53 for me, you know what?
    0:24:55 But I think you have to make everyone comfortable.
    0:24:57 That’s where it boils down to.
    0:25:00 Building a rapport and being honest.
    0:25:02 Even when things are not going good.
    0:25:03 You have to be honest with them.
    0:25:04 – Yeah.
    0:25:07 You know, we talk a lot about education system
    0:25:11 in general in America and how some of the structural things
    0:25:14 sets up, you know, people in poverty
    0:25:18 and people of color for failure of a very high magnitude.
    0:25:20 So when you hear any success stories,
    0:25:21 like how does that feel to know
    0:25:24 that you’re countering that narrative?
    0:25:25 – It’s very motivating.
    0:25:27 I want to keep building.
    0:25:28 When I hear these stories,
    0:25:31 I want to make sure that we’re doing right
    0:25:33 by the directors who are on the platform
    0:25:36 and the parents on the platform, but I just won’t.
    0:25:38 Like this insatiable desire of more.
    0:25:40 Like, how can we make this bigger?
    0:25:45 – And as an entrepreneur, how do you think about that?
    0:25:47 You know, I want to grow the platform.
    0:25:52 I want every child to have access to this opportunity
    0:25:57 with keeping the program really high quality.
    0:26:00 Because it seems like that’s a real tension.
    0:26:02 Because not everybody can do this.
    0:26:04 Like, how do you make sure that every teacher,
    0:26:07 every director is of that quality
    0:26:09 while reaching the whole world?
    0:26:12 – So Sherry was one of the early directors
    0:26:13 on the Wonder School platform.
    0:26:15 So her and I worked actually really closely
    0:26:17 to build her school.
    0:26:20 And so I know very intimately
    0:26:23 all of the different challenges and opportunities
    0:26:26 I’d go into creating a high quality program
    0:26:30 and finding a director who can create a high quality program.
    0:26:33 And when we were raising our series A,
    0:26:37 Jeff Jordan introduced me to Brian Chesky at Airbnb.
    0:26:39 And Brian, you know, and I got on a call
    0:26:42 and he’s like, look, all right,
    0:26:45 you’ve, you’re raising this round, congratulations.
    0:26:48 You’ve been able to figure out how to get here.
    0:26:52 And now your job is to build the company
    0:26:56 that can take this idea and make it larger.
    0:27:01 And a lot of that goes into focusing on the people
    0:27:03 that you bring on and bring into the company
    0:27:07 and how you work with those people to build out the idea.
    0:27:12 And so what I really focus on is hiring the right people,
    0:27:17 training them the right way and spending a lot of time
    0:27:19 working with folks inside of the company
    0:27:21 to understand the vision.
    0:27:24 So we have an education team that works with anyone
    0:27:27 who’s starting a program on the platform.
    0:27:28 We inspect their home.
    0:27:31 We work, we make sure that they have the right motivation
    0:27:33 to start a program.
    0:27:36 And then we help them craft their environment.
    0:27:39 So that’s like setting up the different learning areas
    0:27:42 of the program and working with the director
    0:27:45 to make sure that they’re crafting their environment
    0:27:46 the right way.
    0:27:48 And then we work with directors
    0:27:50 to make sure that they’re growing their business
    0:27:53 not only from an economic standpoint,
    0:27:55 but also from a quality standpoint.
    0:27:58 So when I started the company, just for some background,
    0:28:00 I’m like, look, I have this experience starting
    0:28:02 technology companies and I’m really
    0:28:05 passionate about this problem, but I’m not an educator.
    0:28:10 And so our fifth hire is a woman named Mia Pritz,
    0:28:13 who has a really extensive background
    0:28:16 in early childhood education.
    0:28:20 And she worked at a company called CCLC.
    0:28:23 And they created Google Daycare.
    0:28:25 And they created Daycares at Pixar
    0:28:29 and a number of these big technology companies
    0:28:33 that have very demanding parents to expect
    0:28:35 like the highest of quality.
    0:28:39 And the idea is, how can we take a lot of those ideas
    0:28:43 and infuse it into the community of directors
    0:28:44 that we work with?
    0:28:48 And so building a team of really experienced educators
    0:28:51 who not only have been preschool teachers,
    0:28:53 but a lot of the directors we work with actually
    0:28:56 have run their own in-home programs as well,
    0:29:00 or have trained individuals to start their own in-home
    0:29:01 programs.
    0:29:04 And so is that something you foresee in the future?
    0:29:08 Is training other entrepreneurs to really run
    0:29:10 the programs and set up homes?
    0:29:14 And then a delicate balance between just family life
    0:29:16 and running a preschool–
    0:29:19 All the above, all the above.
    0:29:23 Before we even had the app, we also used Slack at the time.
    0:29:26 A lot of the directors were pulled together on this one app.
    0:29:28 And if you want to vent, you can think about something,
    0:29:30 if you have a question about licensing,
    0:29:33 or you have a question about how to deal with a difficult sleeper,
    0:29:37 a napper, a difficult parent.
    0:29:40 Then we would kind of brainstorm.
    0:29:43 It’s interesting, some of the original directors
    0:29:46 that we first started out with, we kind of would pull together
    0:29:50 and visit each other’s programs and give each other ideas.
    0:29:53 One of the first directors that I met,
    0:29:55 she had a one-bedroom apartment at the time.
    0:29:59 And I was like, how is she doing this out of a one-bedroom?
    0:30:01 And she was already licensed.
    0:30:04 So she invited me and my son for a play date or two,
    0:30:05 and we went to her program.
    0:30:09 And I saw she pretty much made something out of nothing
    0:30:11 you would have never even thought.
    0:30:13 And she was doing pretty well for herself,
    0:30:17 so well that she ended up opening up another program.
    0:30:20 And so she moved into another house.
    0:30:23 She lived with a four-to-better house after that.
    0:30:29 And so I was like, wow, she’s doing more with less than I have.
    0:30:33 So it really kind of made me reframe my thinking
    0:30:34 and working with what I already had.
    0:30:36 I thought that I needed to do so much work.
    0:30:38 That was one of the barriers that I had.
    0:30:41 I wanted things to look perfect before I opened.
    0:30:43 And then I saw what she was doing.
    0:30:46 I was like, you know what, I can work with this.
    0:30:47 You know she has five programs now.
    0:30:50 And I heard, I heard.
    0:30:52 She started a one-bedroom.
    0:30:54 And now she has five different homes,
    0:30:56 or she’s running different programs today.
    0:30:57 How does that work?
    0:31:00 Like as a day care, is she setting them up
    0:31:01 with other people who are home owners?
    0:31:05 I believe she meets people within her own community.
    0:31:08 And she just helps them walk them through the process.
    0:31:10 Yeah, and talking about expansion,
    0:31:13 so what regions is Warner School in?
    0:31:15 Is it West Coast, East Coast?
    0:31:17 Yeah, so we’re in four cities now.
    0:31:21 We’re in Denver, New York, San Francisco, and LA.
    0:31:24 And when we started, we thought we could just go
    0:31:26 national really quickly.
    0:31:28 But what we found is that we needed teams
    0:31:30 in the different cities to support our directors
    0:31:32 and support the communities.
    0:31:35 And so we’re taking a much more of a city-by-city approach now.
    0:31:36 OK, good.
    0:31:38 I’m definitely going to advocate for Detroit,
    0:31:39 because that’s where I’m from.
    0:31:41 Push hard, it gets all in the way.
    0:31:43 Got to get that make that happen.
    0:31:45 So no, that’s exciting to hear.
    0:31:46 And you’re in LA.
    0:31:48 Yeah, I was one of the first LA schools.
    0:31:50 So now I currently live in LA as well.
    0:31:55 And the cost of living can be astronomical.
    0:31:57 So how do you balance that out as an entrepreneur
    0:32:01 saying I’m a venture of knowing that the cost of living
    0:32:04 in LA is kind of crazy and you’re betting on yourself?
    0:32:07 Like, how did you break through that?
    0:32:11 Well, I have three little people that were depending on me.
    0:32:12 And plus two.
    0:32:16 So I had to get myself together.
    0:32:18 At the end of the day, it’s one of those things
    0:32:20 where once you start your process out,
    0:32:22 you have to be practical with yourself.
    0:32:26 So there was definitely some clients in the beginning
    0:32:29 that I probably wouldn’t have normally accepted now.
    0:32:31 But at the same time, when you first started out–
    0:32:32 Why wouldn’t you accept them?
    0:32:33 Like, what was up?
    0:32:35 Challenging behaviors.
    0:32:37 Challenging behaviors from not only the child,
    0:32:38 but from the parent.
    0:32:39 Oh, OK, from the parent.
    0:32:42 The parents sometimes have challenging behaviors.
    0:32:44 And working through that, I always
    0:32:47 say all money is not good money, you know?
    0:32:49 Just because people will say, oh, I’ll pay you.
    0:32:52 Yeah, we work Friday night.
    0:32:54 You have to set healthy boundaries.
    0:32:56 I used to say yes to everything.
    0:32:57 I would say, oh, can I come private?
    0:32:58 It’s like, OK.
    0:33:02 And then one night I had a child to 9.45 at night.
    0:33:04 And the kid was there at 6.45 in the morning.
    0:33:07 So I’m like, what time do you come?
    0:33:08 Or I’m going to come.
    0:33:09 And she’s like, I’m not sure.
    0:33:11 I’m in route, you know, LA traffic.
    0:33:13 So I mean, but at the end of the day,
    0:33:17 like, I mean, affording your rent is going to be a challenge.
    0:33:21 So you know, you kind of gauge that based upon how much–
    0:33:23 how much– how many children you need to take based upon that
    0:33:24 alone.
    0:33:27 But it’s a great way to supplement your income,
    0:33:30 especially if you’re already doing something on the side.
    0:33:33 Or if you don’t have anything going on on the side, why not?
    0:33:35 If you don’t have–
    0:33:38 200 is better than zero, right?
    0:33:38 Absolutely.
    0:33:40 You have to start somewhere.
    0:33:42 But one thing I learned about licensing at this point,
    0:33:45 though, as long as you have less than four children,
    0:33:46 you’re OK.
    0:33:47 You know, you can probably start off
    0:33:50 watching just one child, right, and see how that works out.
    0:33:52 And then as you’re working your way through the licensing
    0:33:56 process, that’s perfectly legal to do one or two children.
    0:34:00 But once you have four plus, you definitely need to be licensed.
    0:34:03 Yeah, one of the things we do with a lot of our directors
    0:34:05 is we look at how much their rent is,
    0:34:07 how much they want to earn.
    0:34:10 And then we help them think about how much to charge
    0:34:13 to make sure that they cover the cost of being
    0:34:14 able to operate the business.
    0:34:16 So one of the things that popped out to me is, like,
    0:34:18 fair is not an option, right?
    0:34:21 I have a saying, there’s no plan B, it’s plan me.
    0:34:25 We’ll make it happen, figure it out, no matter what’s popping.
    0:34:27 But this is actually a question for Bing.
    0:34:32 Do you think entrepreneurs are born or made?
    0:34:35 Yeah, no, I think–
    0:34:37 look, I think it’s mostly made because nobody
    0:34:39 knows how to do it.
    0:34:44 I’ve never met a natural who comes in and does everything
    0:34:45 right.
    0:34:48 Everybody comes in and does everything wrong.
    0:34:50 And then it’s a matter of will.
    0:34:55 And what is true is you can’t do it
    0:34:59 if you don’t have the will and you need unbreakable will.
    0:35:03 But will encourage are things you develop.
    0:35:05 You’re not necessarily born courageous or, like,
    0:35:06 with extreme will.
    0:35:09 That’s something that you can build in yourself.
    0:35:12 Really what it takes more than anything
    0:35:15 is you have the courage to not listen to the people that go,
    0:35:17 wow, that’s the stupidest thing in the world.
    0:35:21 Do you have the courage to deal with, like, I could fail,
    0:35:23 and those people are all going to be right?
    0:35:24 And how am I going to feel then?
    0:35:27 Like, all those kinds of things are always
    0:35:29 at you as an entrepreneur.
    0:35:31 But nobody knows how to do it.
    0:35:33 Chris and I, on the right over, we’re talking about, like,
    0:35:35 yeah, I don’t know a single entrepreneur that’s
    0:35:37 done a good job at executive hiring.
    0:35:38 Like, who knows how to do that?
    0:35:40 That’s not like, your mom doesn’t teach you,
    0:35:43 this is how you hire a CFO.
    0:35:45 It’s a real thing.
    0:35:46 So what are your thoughts on this here?
    0:35:48 I kind of have a different perspective on that,
    0:35:51 because I believe that there’s certain children that I
    0:35:54 see in my program every day that just have a will.
    0:35:55 Yeah.
    0:35:55 Yeah.
    0:35:56 Just a will.
    0:35:58 Like, they just naturally are just go-getters.
    0:35:59 Yeah.
    0:36:00 You know, then there’s some kids you
    0:36:03 have to constantly push, and you’d be there chilly to the whole
    0:36:04 way through, you know?
    0:36:06 But you can’t teach that.
    0:36:07 Leaders and followers.
    0:36:08 Yeah.
    0:36:08 Yeah.
    0:36:10 Chris was an experienced man.
    0:36:11 I agree with both of you.
    0:36:14 I think a lot of this starts at a really young age.
    0:36:15 You know, there’s a lot of studies
    0:36:20 that prove that grit, persistence, a number of these things
    0:36:22 are learned at a really, really young age
    0:36:25 and can be fostered in preschool.
    0:36:27 Developing those skills early on
    0:36:29 are really important to being an entrepreneur.
    0:36:33 But then once you actually start that company,
    0:36:35 there’s so much failure and so much learning
    0:36:38 that you have to go through to be able to be successful.
    0:36:40 And so I think a lot of–
    0:36:42 it’s in you, but it’s also– you have
    0:36:43 to learn a lot along the way.
    0:36:44 All right.
    0:36:44 Great.
    0:36:47 Well, I would love to thank our guests, Chris and Sherry,
    0:36:49 for a wonderful conversation.
    0:36:51 And thank you, Essence.
    0:36:54 Happy 25th anniversary.
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    with @bhorowitz @shakasenghor @8ennett & sherie james

    Hustlin’ Tech is a new show (part of the a16z Podcast) that introduces the technology platforms — and mindsets — for everybody and anybody who has the desire, the talent, and the hustle to do great things. Read more about it here. 

    Episode #1, ”The Hustler’s Guide to Preschool” features Chris Bennett, CEO and co-founder of Wonderschool, a network of modern early education programs that helps both parents and teachers to start and manage early childhood education centers; Sherie James, who uses Wonderschool to operate her own in-home preschool and daycare — both interviewed by Ben Horowitz and Shaka Senghor, live at the 25th Anniversary Essence Festival Global Economic Black Forum in New Orleans.

    music: Chris Lyons

  • Introducing Hustlin’ Tech

    AI transcript
    0:00:05 Hi, everyone. Welcome to the A6nZ podcast. I’m Sonal, and today we’re excited to introduce
    0:00:12 a new podcast series hosted by A6nZ co-founder Ben Horowitz and Shaka Senghor, a leading
    0:00:17 voice in criminal justice reform. The series is called “Hustlin Tech,” and there are
    0:00:21 three episodes to start, which you can find in this feed. First, the hustler’s guide
    0:00:26 to preschool, then the hustler’s guide to getting paid, and then the hustler’s guide
    0:00:31 to the hair business. You can read more about the what and the why of this new series and
    0:00:35 sign up to be notified about future episodes at a6nz.com/hustlin.
    0:00:37 com/hesslin.

    We’re excited to introduce a new podcast series hosted by a16z co-founder Ben Horowitz and Shaka Senghor, a leading voice in criminal justice reform and bestselling author. The series is called “Hustlin’ Tech” and so far, there are three episodes to follow, which you can find in this feed:

    #1 The Hustler’s Guide to Preschool
    #2 The Hustler’s Guide to Getting Paid
    #3 The Hustler’s Guide to the Hair Business

    You can read more about the what and the why of this new series — and sign up to be notified about future episodes — at: a16z.com/hustlin

  • a16z Podcast: Making Culture, Making Influence — Dapper Dan!

    AI transcript
    0:00:07 Hi everyone, welcome to the A6NZ podcast. Today’s episode is hosted by A6NZ co-founder Ben Horowitz
    0:00:13 interviewing special guest Dapper Dan. Dapper Dan pioneered high-end streetwear in the early 1980s,
    0:00:19 remixing luxury brand logos into his own designs for gangsters, athletes, and musicians dressing
    0:00:25 cultural icons from Eric B and Rakeem to Jay-Z. He went on to define an era, and his work has been
    0:00:31 featured in exhibitions at the Museum of Modern Art, The Met, The Smithsonian, and more. But Daniel
    0:00:38 R. Day, aka Dapper Dan, began as a hungry fast learner in Harlem, who became a gambler, spent a
    0:00:43 brief stint in a foreign jail where he nourished himself with reading, and then studied the market
    0:00:49 to build his business, rising to the top, falling to the bottom, and rising again, reinventing himself
    0:00:54 over and over. The conversation is based on an event that we hosted for the launch of his memoir,
    0:01:00 Made in Harlem, where throughout, Dapper Dan shares inspiration for all kinds of makers
    0:01:04 from the struggle, especially when not given the privileges and opportunities that others have,
    0:01:09 to the power of studying the game and the power of listening to your customers, but not in a
    0:01:15 typical way. To what cultural influence and leadership really means, especially because, quote,
    0:01:22 “you cannot be in it and not be of it.” It is a story of the OG Hustler and spans 70 years,
    0:01:26 with the first 30 minutes of this episode focused on his growing up in Harlem,
    0:01:32 visiting Africa, and cultural influences at the time, and then 30 minutes in, going into his
    0:01:38 trendsetting and fashion, including the concepts of logomania and later influencer marketing.
    0:01:43 And finally, the story ends where it begins, with reopening his boutique and his partnership with
    0:01:48 Gucci, which involved the power of voice, including that of Black Twitter.
    0:01:54 So I’d like to thank everybody for coming out. And this is probably one of the most difficult
    0:01:58 introductions that I’ve ever had to do, because how do I explain Dapper Dan? That’s like almost
    0:02:05 impossible. And, you know, I didn’t know who Dapper Dan was really. I knew Dapper Dan, but I didn’t
    0:02:10 know until I read the book Dapper Dan Made in Harlem. And so I thought to introduce him,
    0:02:14 there were a couple of things that were sent to me leading up to the event that were like,
    0:02:22 right on point. We put like a tweet out, and this came tweeted back from David Doswell.
    0:02:27 Is David Doswell here? Oh, all right, what’s happening? Thanks for coming out. So he tweets,
    0:02:33 “Such a legend. When I was young, I thought his name was a term. I didn’t know he was a person.”
    0:02:42 And then the second one is from my business partner, Mark Andreessen. You guys know Mark?
    0:02:48 Software eats the world. He invented the browser, all that. So Mark’s from Wisconsin,
    0:02:53 and he didn’t really know anything about Dapper Dan until he read the book. And
    0:03:00 he sends me this. He says, “I read Dapper Dan’s book. I got a couple of reactions. One,
    0:03:08 he is an actual entrepreneur and an innovator, parentheses, tech twice over, once screen printing
    0:03:15 onto leather, the other using a hospital badge machines to fabricate credit cards. Number two,
    0:03:21 similarly, in another life, he’d have a major national global apparel brand by now worth
    0:03:27 billions of dollars. And I was like, yeah, that’s right. So that’s Dapper Dan. And without further
    0:03:47 ado, I welcome Dapper Dan. Thank you. All right. Well, let’s get into it. So the book starts
    0:03:53 with Harlem in the ’50s. And that was like a very different Harlem, the Harlem that you
    0:03:58 grew up in than the Harlem that came after it and for sure the Harlem of today. So what was that
    0:04:05 like? Well, the Harlem that I grew up in was a village. Now the Harlem you find today is like
    0:04:11 a little city. The difference between a village and a little city is like, I grew up, I’m the
    0:04:17 first generation of the great migration that came from the South. So when I, my family,
    0:04:24 my mom and my pop got to Harlem, they were still, and it sounds crazy, they were still
    0:04:30 horses and buggies in the street. Wow. So cars hadn’t quite gotten there. Yeah. It wasn’t many,
    0:04:35 but they were there. All the neighborhoods was comprised of mostly in Harlem, even though it
    0:04:40 was sectional. You see, like, this neighborhood here, everybody would be from a particular part
    0:04:45 of the South and the next neighborhood, a particular part. So people knew each other. So
    0:04:52 that a different kind of community. I think the most warming thoughts that I have a Harlem man
    0:04:56 is like 11 o’clock Sunday morning, 11 o’clock Sunday morning, you see everybody leaving out
    0:05:02 their houses, everybody converges on the church. My family went to the church. We had a little
    0:05:10 storefront church we used to go to. The congregation was like 23 people and 18 of us was in the same
    0:05:18 family. Right. And we called it “Hallelujah Sunday” because, you know, even though we was poor, I
    0:05:24 think nothing made me feel as good as, you know, leaving church on Sunday. You know, we was poor.
    0:05:30 So food wasn’t plentiful back then, but we used to, you know, after church, you get the meals. Oh,
    0:05:36 yeah. And today, that still goes on today. Like the big churches on Sundays, they still help,
    0:05:41 they serve meals. But you know what? The most significant thing about Harlem that you won’t
    0:05:50 see today in Harlem was that I grew up with the diversity. You know, I didn’t even realize how
    0:05:58 diverse Harlem was until I began to travel like places like Detroit, Chicago, and I always had
    0:06:06 different ethnic groups as friends of mine. And I think that cultural part, that like gumbo of
    0:06:12 culture was what made Harlem the way it is. So then, you know, your father came to Harlem
    0:06:19 when he was just 12 years old. You know, it’s like, it’s hard to imagine because we tend to think
    0:06:25 that, you know, slavery was a long time ago, but, you know, it’s been like maybe 153 years.
    0:06:35 And my father left home when he was 12 years old. My father was born in 1898. That’s 33 years after
    0:06:42 the Emancipation Proclamation. My father’s father was born a slave and later free. So when my father
    0:06:48 came here, this is the Reconstruction Era in 1910 when my father came to Harlem. He was 12 years old,
    0:06:54 but at 12 years old, and 10 and 12 years old, young blacks was leaving the South because they
    0:06:59 didn’t want to put up with that. And that’s what made Harlem so unique. In every aspect, what made
    0:07:05 Harlem unique is that we had the most revolutionary, spirited people that you could find. The ones who
    0:07:12 were not going to tolerate like the Jim Crow and the Haines and things that were that was taking
    0:07:17 place in the South at that time. And so do you think that’s one of the things that made Harlem
    0:07:22 such a center of culture was that the people who came out were the people of the strongest will,
    0:07:28 the people coming out to Harlem? Yeah, when you look at when you look at like the
    0:07:39 what happened to us with the slave trade, first you get captured. I read in liberal art and
    0:07:45 before the Mayflower, they talked about sharks used to pick up the slave ships on the coast of
    0:07:50 Africa and just follow them across the ocean. And that’s how many slaves were thrown off.
    0:07:56 So you had to survive that middle passage. Then your family had to survive 300 years of slavery.
    0:08:02 And then you had to tolerate the Jim Crowism. And so we had the most strongest blacks that
    0:08:07 were leaving the South to go north. So I’m a product of those powerful people. So when
    0:08:13 I got when the people who were in Harlem was the ones that stayed and put up with it,
    0:08:17 that wouldn’t go back. They were really the strongest of the strong.
    0:08:24 So I learned from the people who were the best hustlers and people like my fathers who were
    0:08:28 the best workers. Because my father worked 15 years straight
    0:08:37 for the city and he was never absent and he was late once and that was the great snowstorm of 47.
    0:08:44 Nobody was at work that day. And that’s because he walked to work and was snow was deep.
    0:08:53 Wow. And you and your father had an incident that changed your life in Ripley’s department store.
    0:09:01 Oh yeah. That was like growing up like even a well a neighbor down the street from me used to laugh
    0:09:07 at us a lot because they was just doing slightly better than us. And a lot of the times I had
    0:09:12 holes in my shoes man. So we used to put paper in our shoes to keep our feet from touching the
    0:09:19 ground. Then we got more innovative. We stopped using linoleum because it last one. But one day man
    0:09:25 my feet was hurting so bad because the borders of the shoe could not no longer hold linoleum in
    0:09:31 right. So I think I was like about eight and I come on and say mom my feet is killing me.
    0:09:36 Mom my feet is killing me man. And before my mother could say anything my brother was there.
    0:09:43 He said don’t worry mom. He said come on. I go with my brother and we walked four blocks.
    0:09:49 And I never forget we walked four blocks from one hundred and a half to one hundred and twenty
    0:09:54 four or four or five blocks. He turned the corner and it was a good wheel there. So we won the good
    0:10:00 wheel. And my brother said you see any shoes you like. I saw some nice mahogany split toes with
    0:10:08 the tassel. I said I like them right there. He said try them on. I said they feel good.
    0:10:16 He said okay pick your shoes up. I picked my shoes up. He said put them in the rack.
    0:10:27 I put them in the rack. He said let’s go. That probably wasn’t fair trade there.
    0:10:33 I’ll never I will never forget that. But you know as you know all our clothes was
    0:10:38 hand me down right. But my brother right over to me he always got the first pick.
    0:10:43 You know so he had the best clothes from Goodwill’s right. So I wanted to go to school man. I wanted
    0:10:48 to be fine. You know I really wanted to be sharp as I could stand up front of school with the girls
    0:10:54 and everything in front of the candy store. But my brother wouldn’t let me wear his clothes right.
    0:11:00 So I had to sneak him out. And he got to the point where he was sitting by the door where I had to
    0:11:08 go out so I couldn’t walk out with his clothes on. So what I did I had my two best friends but
    0:11:12 my two best friends heard their thirming. I told her their thirming wait outside the window.
    0:11:17 And I would take his clothes and I’d drop them outside the window.
    0:11:26 And I go in the hallway and change them right. But then by the time I’m 13 now right my father’s
    0:11:30 going to take me to get my first suit. I’ll never forget that. No no 13 I was already hustling
    0:11:36 about 11 years ago. So we’re going to Ripley Ripley department store. And my father’s going to buy
    0:11:45 me a suit on credit right. And I said wow I saw a charcoal brown suit with with pinstripes.
    0:11:51 I said daddy you want to get me. He said he’s going to pay on credit. But I had just learned
    0:11:55 mathematical equations to tell you know interest time rate and see how much he’s going to pay.
    0:11:59 And then when I read the contract I said daddy don’t buy this. Of course they’re going to charge
    0:12:05 you to and they have time with the suit board. So we’re coming down the steps from the store.
    0:12:10 And this is this is the moment that changed my life. And we’re coming down the steps from the
    0:12:16 store. And my father stopped me. And he looked in my eyes. I saw the tears well up in my father’s
    0:12:23 eyes. And he said boy don’t you know you could read. You could read boy. You could read. But I
    0:12:28 you know I’m saying I’m seeing how emotionally getting I’m seeing the tears well. But what
    0:12:33 what happened was my father only went to the third grade. And he had to teach himself how to read.
    0:12:38 Because you know during during times of slavery and back then you know it was against the law
    0:12:42 to teach the slaves how to read. And my father only got to go to the third grade. So he had to
    0:12:48 teach himself how to read. And from that point on I learned something. I said man no matter what
    0:12:54 happened or what kind of fix I get in I’m going to read my way out of it. And that ended up being the
    0:13:01 key to almost everything you did after that. So how did you get into hustling?
    0:13:12 Life is about life is about the tools that you get based on how you come up you know.
    0:13:21 It was seven of us. Me and six siblings. And my mom and dad. And three had three had three bedrooms
    0:13:29 you know. So my father in all the relationships like we have with people that’s auntie so and so
    0:13:36 but you know it’s just that it wasn’t our blood relationship but the communal relationship that
    0:13:42 you take on those titles right. But the ones that were in my neighborhood they were all hustlers.
    0:13:47 My father’s the only one wasn’t a hustler right. But my father used to have poker games what we
    0:13:56 call rent parties. A rent party is is a circle of people. This one week this one give a party have
    0:14:03 a poker game you know they have red rice chicken colored greens and they sell dinners you know
    0:14:10 like that. So when my father when they gave their poker game and I used to stay up every time my
    0:14:15 father went with a hand this is the first time I was exposed to gambling. Every time my father
    0:14:20 went a hand he’d take all the change and put it in my pocket and I’m just standing there. Couldn’t
    0:14:28 stand up no more and let it and take it away. So the first exposure I got to anything was like
    0:14:35 gambling. And I became a real proficient like that. But I had an uncle Eddie Henry is just him
    0:14:40 and my mother right. Eddie Henry had went had ran away when he was young and he joined he had
    0:14:45 joined the circus and was one of them guys yeah one of them guys join the circus. I mean this is
    0:14:51 yeah that era. I’ve heard that story but I never knew anybody. Yeah he was a handyman they had him
    0:15:00 doing like what in errands but he was he um hooked up with the um the the magician told him all these
    0:15:08 kind of tricks with the cards. So Eddie Henry taught me them tricks. So those tricks helped me
    0:15:15 out later on in life you all hear a lot about them tricks later. So anyway the Harlem that I
    0:15:21 grew up in we are I’m the last product of a generation that saw Harlem without a drug epidemic.
    0:15:27 I’m growing up in the 50s the drugs epidemic didn’t hit to the 60s. So the first part of Harlem
    0:15:33 you see was like numbers the number game policy that used to take place and everybody used to
    0:15:40 bet on numbers and then it was like they had people who was like on head maybe drinking problems
    0:15:48 but they were um functional right nowhere near like like the drugs were then in the 60s when
    0:15:52 the drugs hit and then we start seeing all the drug dealers with all this money all the shiny
    0:16:00 things that we wish we had yeah and then they we started drifting away drifting away and then a
    0:16:06 drug it went from a street game the street thing went from a number culture to a drug culture
    0:16:11 and that’s when Harlem changed right we never used to have to unlock our doors nobody locked
    0:16:16 their doors until the drug epidemic hit and that changed the whole complexion of Harlem
    0:16:26 and I got caught up in that um because of the uh the lore me and all my brothers my sisters never
    0:16:31 did nothing wrong but me and all my brothers got hooked up caught up in that and um I remember
    0:16:43 it was June 19 1967 I got busted for selling drugs I got out three months later with probation
    0:16:50 September 27 1967 the one of the assassins alleged assassins from Malcolm X was in there
    0:16:57 Johnson 3x butler right and when I what I observed he was in lower A1 I was in upper A4 so it was
    0:17:05 tears and we had to pass by and um I saw all respect that this man used to get and the way
    0:17:12 they treated him and did he get respect for allegedly killing Malcolm X or was it it was a
    0:17:16 different it was a different town like Malcolm X today the Malcolm X these young people in here
    0:17:22 know today at the time was all there was a shism that was taking place in the nation in Islam right
    0:17:29 so to the bulk of people when Elijah Muhammad was still alive Malcolm X was considered a traitor
    0:17:37 Martin Luther King was considered an Uncle Tom so history has showed that that wasn’t true it’s just
    0:17:43 that these men chose a path that was the right path to choose they were all like idolized then
    0:17:48 because people didn’t really know what happened but anyway the story is like when I saw that respect
    0:17:54 he got I said I might go to jail again but I will never go to jail for doing anything like that to
    0:18:02 my people yeah and that and that’s what changed my life so that was like that was 1967 when I got out
    0:18:10 I went back to school I was 23 then now and I went back to school high school that was like murder
    0:18:16 being on the bus going from home oh yeah yeah oh man because I’m seeing the young kids that I’m going
    0:18:21 to high school with doing that making mistakes I’m making I’m coming out of it and I’m seeing
    0:18:27 them go into I said oh man it was hell so um and I started writing for a newspaper 40 acres in a
    0:18:34 mule a student newspaper and then I got real revolutionary and I said you know what I had
    0:18:42 from writing for 40 acres in a mule I was offered a scholarship over the summer of 68 as an intern
    0:18:48 at Columbia University either I take that or I can go to Africa and study in Africa with 40 acres
    0:18:54 in a mule scholarship to Columbia go to Africa but I wanted to go to Africa um Dr Henry Clark
    0:19:01 I want to find out what happened so Dr Henry Clark said one day he said at the paper right
    0:19:07 you know we tend to think of ourselves as victims all the time so one of uh me and one of the
    0:19:11 students we always have these conferences every week with a different scholar Dr Henry Clark
    0:19:16 Dr Ben Jockerman you know all kinds of scholars used to come through and so Dr Henry Clark he’s
    0:19:24 the one who minted Malcolm so he’s in at the paper one day and one of the students like myself
    0:19:29 on the editorial board asked Dr Henry Clark he said um if we are the first people on the planet
    0:19:34 and we had chosen people why are we going through what we’re going through today and Dr Henry Clark
    0:19:39 says that’s because of a transgression we made before your opinions came into our life
    0:19:45 he never elaborated on that so when I was going to Africa I wasn’t looking for what he was talking
    0:19:55 about you know what that took a little bit of the anger away you know and gave it gave me like a
    0:20:00 focus say I’m gonna find out what’s wrong because what was whatever this that’s wrong might be what’s
    0:20:08 wrong with me right and when I say me us so I had to figure out a way to get to that so when I
    0:20:15 went to Africa I traveled like it was fortunate for me I’m in Harlem Martin Luther King is alive
    0:20:22 Malcolm X is alive all that energy I go to Africa I’m in Ghana Kwame Nukuma with the pan-Africanism
    0:20:28 movement it’s just got disposed that right then I get to Tanzania Neary is in his governor
    0:20:35 is uh is the president and I get to Kenya Jomo Kenyatta’s ago so I got all this energy and we
    0:20:41 study in Africanism I stayed in Tanzania I stayed at Curuscini International School
    0:20:49 where they were training South Africans to fight in South Africa so we will um we were like a really
    0:20:58 radical group and even the um Urban League had gathered money had gotten pan-American airlines
    0:21:04 to donate the airfare for the seven countries we was going to visit in Africa to yeah to us and
    0:21:08 when we got to the airport they didn’t the state department meaning the United States government
    0:21:14 didn’t know how radical we were so when we got to the airport the state department put pressure
    0:21:20 on pan-American allies and they canceled our reservations oh wow they withdrew the reservation
    0:21:25 but then a black or philanthropist put up with the money at the last minute so that we can go on
    0:21:30 this trip to Africa you know that philanthropist was today no they I never found out who he was I guess
    0:21:39 he didn’t want the state department to know so when we get to the when we get to the first leg of
    0:21:47 the trip in Ghana a car our passports disappeared right and the passports turned up at the state
    0:21:53 department at the United States embassy so we go there picking up we didn’t find out to later on
    0:21:59 that it was a CIA agent following us around you know because this was a time 1968 well I mean
    0:22:08 young black radicals wasn’t going to Africa yeah yeah yeah not without a CIA escort if you go to
    0:22:15 the library and you read 40 acres in a mule and you can see that the Schoenberg library on microfilm
    0:22:21 and you see the things that we were talking about to give you an example I wrote an article in 1968
    0:22:25 when they was building the state building the state building in Harlem
    0:22:33 in 1968 I did a study on that state building and found out what this plan was about
    0:22:37 Constance Baker-Montley had mentioned that plan earlier but the state building was the first
    0:22:45 building they was going to put in Harlem to start gentrification taking place so I had got a prototype
    0:22:50 of that state building and I put it on the front page of 40 acres of the mule and I made it look like
    0:22:57 a Trojan horse you know to let people in know and Harlem know and this is 15 52 years ago
    0:23:01 to let people in Harlem know that gentrification is coming to Harlem and when you go to Harlem
    0:23:06 to date yeah you see gentrification don’t kick them so that’s how radical we were and how advanced
    0:23:13 we was and we were all young like all from the 18 to 23 but we had so much energy we had all these
    0:23:20 revolutionary and these Dr. Benjamin all these scholars coming in and um talking to us now when
    0:23:25 you were in Africa for the fight in Zaire which was later oh yeah that was really interesting
    0:23:30 now I went back to Africa on my own in 1968 because I went with a group and when we went
    0:23:35 with that group wasn’t no all hotel things we stayed with families we did live ins everything
    0:23:42 like that there you know so 1973 I went back and I because they had the Muhammad Ali and
    0:23:47 George Foreman the Rommel in the jungle yeah yeah yeah so my hustling skills kicked in wasn’t selling
    0:23:52 drugs but I was a professional gambler then so I go back to Africa for the fight George Foreman
    0:23:57 get busted in the head you know me and training and training that’s not what Ali busted in the
    0:24:02 head yeah Muhammad Ali why he’s training so I said man I gotta stay here a month and a half
    0:24:08 wait for him to get well yeah so I said you know what I might just travel around again so I stayed
    0:24:17 in um Zaire for a while then I went to um back to Lagos Nigeria and then from Lagos
    0:24:26 Nigeria I went to Liberia and so um and that’s in Monrobio Liberia I had uh a Fulani Taylor and um
    0:24:33 that’s where the whole concept for me um getting involved in fashion yeah you know I’m tell that
    0:24:43 story so come back I’m hustling again it’s like like as I mentioned earlier you get these tools
    0:24:49 when you grow up poor and you use these tools but as you move along you start learning things
    0:24:56 but um in 1968 when I came back from Africa I was in the Panther Party Nation Islam the Panther
    0:25:02 Party had got really radical you know we they had us like we would have to study the battle
    0:25:07 of Algiers where young people was kicked kicking the dope dealers down the steps and just cleaning
    0:25:15 up the city and at that time it was the uh drug dealers was considered the blood suckers of the
    0:25:21 poor those are the reasons that we were doing so bad so the people the Nation Islam was moving on
    0:25:28 the drug dealers Panther Party was moving on them then father the head of the uh five percent of
    0:25:33 all of them was zeroed in on the problem with drugs because that’s that’s what had the devastating
    0:25:40 effect the reason that they were doing that because everyone during this time knew what Harlem was
    0:25:46 like before drugs but the second generation that grew up with a drug culture don’t understand
    0:25:52 what we were like before that happened I refused to go back and get drawn into that
    0:26:01 so that’s when I um I got into what is called let me give you an idea what what what what you
    0:26:06 learn in Harlem in the streets you learn the paper game that’s credit cards and checks you learn how
    0:26:11 to do that illegally the paper the corn game that’s everybody know what that is everybody in here
    0:26:20 been calling some kind of way here no doubt yeah the corn game you know I mean and um so these are
    0:26:26 all the things out that we we learned from profession so I definitely wasn’t going to get
    0:26:30 involved with um anything that’s going to be detrimental to the community so I say you know
    0:26:39 what I’m gonna study this paper game yeah yeah the paper game so I divide credit cards yeah credit
    0:26:47 cards and everything so I divide this method by which um I create my own credit cards yes yeah so I
    0:26:54 was a bank official me and my friends all of us muslim but broke away from nation is not for the
    0:27:02 same reason I never accepted the concept of a biological devil so it wasn’t suitable for me
    0:27:08 in the nation islam I couldn’t accept that part so we come across this credit card scheme so I’m
    0:27:14 the one who initiated the scheme so now we we go in country uh hopping catch a plane here we go to
    0:27:23 we go to st. Thomas st. Croix aruba venezuela they’re spending these folks money like you’re
    0:27:32 blowing us yeah we leave barbados and we go to venezuela and we’re in venezuela and some soldiers
    0:27:36 pull the guns out on us right and I’m looking at colliding and this race is getting all excited I
    0:27:40 said damn what’s wrong I don’t even know what’s wrong I don’t I want to know why the soldiers
    0:27:44 was taking us into the bush anyway yeah they said man they was gonna kill us and rob us so I got
    0:27:48 we got back in the car we went back to the airport yeah that was the second warning
    0:27:56 now we get to aruba right then all of a sudden I’m trying to call my friend and I can’t get them
    0:28:02 and then I see these cop cars and then we we figured it out they’re looking for us
    0:28:08 they had already got one of the two friends so yeah I didn’t know where to go I’m on the island
    0:28:12 I didn’t know where to go so I started ripping up all the all the receipts and I’m on the beach
    0:28:20 ripping up the receipts next thing I know they pull up on us and I didn’t and I didn’t know I didn’t
    0:28:26 see freedom for nine months right man you do not want to get in trouble in a foreign country please
    0:28:34 please and so for nine months all I did was read read read because that was my out read read read
    0:28:39 when I got out of that there then I became more proficient at that more proficient at the paper
    0:28:46 game I got really proficient and I made a lot of money so and then the paper game ended up like
    0:28:52 weirdly leading you into the fashion game yeah I used to make everybody listen uh what was it
    0:28:56 know when to hold them know when to fold them know when to walk away and know when to run
    0:29:00 Kenny Rodgers never count your money while you’re sitting at the table there’d be plenty time for
    0:29:08 counting when the deal is done yeah that was my philosophy so uh after I made the money I told
    0:29:14 everybody who was down with me man quit that you are on the laws too though so you knew you
    0:29:20 were up you knew there was new legislation coming too that was going to make the paper game yeah
    0:29:26 more dangerous yeah the banking system had not figured it out yet yeah right so there was this
    0:29:31 loophole and even if you got caught you would get just 90 days but we never even got caught making
    0:29:34 credit cards so but when they changed the law I said I said I ain’t doing that no more and you
    0:29:38 never go back when you do something wrong but while all this is taking place I’m doing all this
    0:29:44 spiritual reading and so my mind is constantly changing my mind is constantly changing and I’m
    0:29:51 looking for a way to to to really fit into society you don’t want I just want to be I just want to
    0:29:58 be regular I just want to be normal I just want to be you know buying to this American idea but
    0:30:04 what’s also working behind my head is the only you know the fact that I didn’t have the privileges
    0:30:10 and opportunities that other people had right so after the paper game I buy me a brand new Mercedes
    0:30:18 Benz pay $42,000 cash you know with with paper from the paper game from from the paper game
    0:30:25 and um then I said um I’m gonna drive around for a while figure out what I want to do
    0:30:32 and then um I said you know what I’m gonna do I know all the gangsters I’m gonna open up a store
    0:30:39 and sell to them and with the gangsters you knew they had money and like clothes in a way you knew
    0:30:42 about that market where nobody else yeah I knew what every gangsta in Harlem I knew them because I
    0:30:48 used to break them yeah used to call me gambling Danny yeah yeah because I studied everything I
    0:30:52 learned from the best that was the best gamblers that was in Harlem and then I read all the books
    0:30:58 on gambling so that I can have even a better perspective and I read um John Scotty John Scotty
    0:31:04 was the world authority on gambling I read all his books yeah and when it came to hustling I read
    0:31:11 hustling and con men he studies the hustle game like people can study the computer science game
    0:31:17 look listen here if you want to get an inside look at what my mindset was and what my skills
    0:31:25 was watch the movie with um Robert Redford and Paul Newman the sting the sting yeah the movie
    0:31:32 you got ten academies war and if you can pick up on the move that they made in the sting then you
    0:31:40 gifted hustler it gives you a idea of what the hustlers who came out of the south was like
    0:31:46 right and it involves gambling and it involves the con game it’s the epitome of everything you
    0:31:51 want to know about the inner workings of the streets and how other things other than drugs
    0:31:56 how you can make money so in this thing right this is this is an older black guy
    0:32:04 so the black guy he dies he can never play he can never make the big sting yeah you know
    0:32:09 it was always his goal to make the big sting so when Robert Redford and Paul Newman come and say
    0:32:16 man you’re white y’all can make the big sting you know and one of the guys he con had killed him so
    0:32:21 Robert Redford is going to avenge that and then the whole plot emerges from them but the sting
    0:32:26 comes right out of the book hustlers and con men so you can get a really good view of that if you
    0:32:33 want to know what that but then that portion of that but then his life was like i’m a good guy
    0:32:40 it’s just that this is what happened to my life if you march backwards in my history is the this
    0:32:46 was what’s opening to me this is the advances i could make i took advantage of all the opportunities
    0:32:51 that were available to me this is not an apology this is the so that you understand me
    0:33:00 anyway so fashion so i thought that i could go and open up a store i said you know what people
    0:33:07 with high aspirations they want everybody to know that they’re moving up the ladder yeah
    0:33:13 so hustlers and everybody like that especially hustling the main thing they used to like is furs
    0:33:18 diamonds and gold right right so i know i couldn’t mess with them diamonds and gold like because
    0:33:25 that’s a whole new study i got to go into there right so what i did was i started reading everything
    0:33:33 that i could find out about furs right so it just so happened i left the paper game but there’s two
    0:33:39 guys that’s still in the paper game right they use check uh certified check machines right and so when
    0:33:47 people like yourself want to sell your old fur you advertise in the paper they say yeah we’ll buy it
    0:33:51 and then you show up with your fur and you get one of the special main certified checks
    0:34:00 there you hear that you need to take bitcoin venmo something else don’t take that so all right
    0:34:07 so um i’m with these guys so they’re gonna sell me the furs all right so they head the fur they
    0:34:12 bring it to me to take them out of the line in right go down into the big check for yeah yeah
    0:34:17 so i go down the fur this week this is when i meet urban chakens my jewish friend so urban
    0:34:22 chakens takes the fur as well and i say hold up man maybe i need to be making these furs with you
    0:34:27 yeah instead of me buying hot furs so me and every check it’s hooked up i start reading everything
    0:34:33 and studying everything with the fur game and then what i did was i did my research and was
    0:34:38 only three black furriers in the in the country it was one called the he was the most popular black
    0:34:43 furrier uh in new york and it was two in chicago and i went to visit all of them see how they
    0:34:49 operation work and i come back and i started doing the furs but um what i thought was that i
    0:34:54 would be able to buy and replace other clothes when i want to do other clothes with all the
    0:35:00 manufacturers i went to that’s so luxury goods would not sell to me okay and why did they just
    0:35:05 went to sell to you because they wouldn’t they just like that you know i’m not gonna you know
    0:35:10 all i can say is that they sold to people who wasn’t my color so yeah that was the intention
    0:35:17 so anyway so that wasn’t working out for me but the furs was working out for me but furs
    0:35:25 is a seasonal item right so i’ll start going to this uh uh a furrier in new jersey called a fur
    0:35:29 factor and he was selling furs for me another jewish guy he’s selling furs to me and i was doing
    0:35:35 good off those furs right he said listen my son and his and my nephew are opening up this company
    0:35:40 and they’re going to be making leather jackets i said okay cool he said go see him his son and
    0:35:46 his nephew is andrew mark they’re cool they was almost like young black guys i said yo what’s up like
    0:35:54 that you know that’s cool right there so we um i’m i’m buying these leather jackets with the
    0:36:00 opossum lining from them right yeah so i’m paying four hundred dollars for the for the jackets
    0:36:06 and i’m selling them for eight my competition was the most popular store in holland called aj
    0:36:14 lessons a lay lessons is selling the same coat for 1200 so i’m smoking them right yeah one day
    0:36:21 a guy comes with his friend who had already bought one from aj lessons and he was proving to his friend
    0:36:26 these are the same coat so he came to me where he got this from right right he said i told you man
    0:36:33 that guy got so hot he went over to aj lessons and had a fit oh yeah aj lessons goes down so andrew
    0:36:38 mark and tell andrew mark if you sell the dappadam i’m not buying from you anymore i’ll
    0:36:43 say cut off the supply you know when i go down to re up down to andrew marks and i’m to get some
    0:36:49 more jackets they say dapp we got a problem man i can’t sell to you no more because aj lessons
    0:36:56 say if i sell you then they won’t buy from me no more they have six stores you only have one
    0:37:04 yeah i’ll say oh man i didn’t even you know i didn’t even debate the issue with them because they
    0:37:10 told me well we will let you continue to buy but you got to take the label out you know the label
    0:37:16 is everything yeah you can’t you know so i got mad i just left and i came uptown now when i left
    0:37:23 when i was on that trip in africa and i was in monrovia Liberia i went down to buy me some artifacts
    0:37:28 and when i was buying these artifacts right you gotta like the way i dressed and all because i was
    0:37:34 you know super fly yeah you say i like it still are yeah you say i like the way you
    0:37:38 you say i like what you got on i’ll say i like the artifacts i’ll say you want to trade you say
    0:37:44 yeah i want them got all my luggage i took every all the clothes that i took on the trip with me
    0:37:50 i came back down to the marketplace and i exchanged all my clothes for artifacts and
    0:37:58 for him to make me clothes you know with african style material with hollum style cuts yeah and
    0:38:02 that’s how i came back and that always stayed with me so when andrew mark and them did that i
    0:38:09 said you know what man hold up i’m gonna look i’m gonna figure out how to do this myself so i’m
    0:38:16 downtown in some uh Senegalese african selling uh from from senegal warlords and they sell
    0:38:20 some of this stuff on the street i gave him a card i said you know anybody so tell him come see me
    0:38:29 yeah right and so first i got one then i got two then i got four then eight right i was up to 23
    0:38:37 tailors all right from senegal yeah all from senegal i’ll never do that again so anyway so i had
    0:38:45 these Senegalese tailors and um i need something new right now i’m working with furs i’m working with
    0:38:51 11 and the guy comes into the store one day and he got a louis Vuitton pouch and was that that’s
    0:38:58 little man yeah little man this was a kingpin in hollum the guy was the guy was jack jackson jack
    0:39:04 and he was in hollum jack jackson is the one who told on john goddys brother gene goddys they got
    0:39:11 him there 50 years but the pouch is little man’s boss’s pouch yeah right and he got all this money
    0:39:16 he got a hundred dollar bill and i look at that pouch i say damn what is it about this pouch
    0:39:22 ain’t but six dollars worth of vinyl yeah you know this louis Vuitton pouch you know but everybody’s
    0:39:31 excited i say wow so it all it clicked in my head now you got furs diamonds and gold now here’s symbols
    0:39:36 yeah i say it’s the symbols that’s making that’s popular so i wouldn’t study all about the symbols
    0:39:42 and stuff and i figured out the science behind textile printing and all that yeah i say if i could
    0:39:49 take them symbols and make them look like that bag yeah and have them walking around looking like
    0:39:57 luggage and at that time at that time louis louis Vuitton Gucci they didn’t they didn’t use the
    0:40:02 symbols like that nobody louis Vuitton Gucci none of them and let me tell you all your future
    0:40:09 designers and stuff i never ever went to a runway show where you see people you know
    0:40:13 the models in it i never went to one until i did the deal with Gucci
    0:40:20 i didn’t want to know what it looked like when it’s finished i wanted to know how it was made
    0:40:28 so all i used to study is technology fashion technology fashion construction and i would go to
    0:40:36 all the trade shows associated with with garment construction so i began to teach myself everything
    0:40:44 about textile printing and then in addition to that what i used to do was like when the industry
    0:40:50 was moving from united states to china when everybody was going offshore right when the unions
    0:40:56 this listen this is very important when the unions tricked everybody into constantly
    0:41:02 asking for raises but they didn’t put pressure on the corporations that were producing the goods
    0:41:11 but the prices was rising they said look we can move our factories offshore which end up in china
    0:41:18 and then still get the same prices that we sell goods from here so all the industries was moving
    0:41:23 to china well this is the same time i opened up my store so now i’m going to auctions at all
    0:41:28 these businesses these factories just closing down right and i’m learning things i would get to
    0:41:32 the auction early and walk around like i knew something and listen to the auction you know
    0:41:38 listen to the people who buy the machines see what they be saying about machines and ask questions
    0:41:43 and i’d be the only like black guy in there i learned all about the different types of machines
    0:41:49 associated with the industry right and i bought them and and i put started bringing them to to the
    0:41:56 to my my location so i end up having a three-story building on 125th street and a 2000 square foot
    0:42:04 factory on 120th street all in hollow all run by me and my africans right yeah and you’re
    0:42:14 and your uh your design process was also very different in that that’s the most time with the
    0:42:19 the customers in a way that the guys in france never would have thought of yeah my approach to
    0:42:28 fashion is like you see designers they come from their ideas and that’s good they approach it like
    0:42:36 their painting a canvas and that’s good you know because that that’s an input but what i’ve always
    0:42:43 done was to embrace the culture and translate the culture and how i did this is like when my
    0:42:49 customers came in i asked them how they feel about themselves how do they want to look now i got all
    0:42:53 this fabric this your piano and i’m printing everything you know whatever design you want
    0:43:00 everything but now the creative process kicks in how do you want this to look on you and we
    0:43:07 sit down and we discuss how you want to look so now i got all this input from all these people
    0:43:15 coming out of my community and so this is the infusion of ideas that’s taking place between
    0:43:21 me and those who want to be transformed because clothes transform me and i know how it feels
    0:43:28 when they got them nice outfits on so what i did was i continued that process you hear that i just
    0:43:36 all these entrepreneurs you hear that okay good so it’s an important part in doing that i come up
    0:43:43 with all these different ideas with a person who designs for themselves if if they mess up if they
    0:43:48 make something wrong then they stuck with a collection now i got two pluses in my favor
    0:43:54 i got fabrics that i’m making and that fabric can be anything once you have a garment that’s all
    0:44:00 it is is that garment right so i got that working for me and i got the fact that i’m getting all this
    0:44:05 input from the people from my community who have these ideas but i had to remind them i know you
    0:44:16 got ideas but everything in your mind might not look good on your behind now i’m shifting there’s
    0:44:26 a shift now from the hustlers and then it’s the birth of hip hop perfect timing you know now i have
    0:44:38 my personal collection of influences all to me so i got this creative idea i got the knowledge of
    0:44:47 textile printing right i have upcoming influences yeah so i got all this working for me now what’s
    0:44:57 missing i needed a social vehicle your mtv wraps now you’re on television i got all the components
    0:45:03 that i need to be successful right but i ain’t have permission to use those labels
    0:45:10 right yeah so i’m making all this stuff and i’m under the radar i got all the wrappers and everything
    0:45:16 now then the uh athletes start coming got all the black athletes and stuff
    0:45:23 then mike tyson comes to the store he’s with me when we camber when she’s starting out
    0:45:28 now i’m getting all this attention on top of that mike tyson gets into a fight
    0:45:37 with mitch blood green in my store next thing it comes out uh monday night football
    0:45:43 and then you get up in the helicopter you know over the ganky state down there somewhere
    0:45:50 dapper dance 24 hour boutique ha ha ha you know it’s like they’re making a joke out of it but but
    0:45:57 now everybody everybody knows so the brands say who the hell is a dapper dan the next thing i know
    0:46:05 hip hop is moving on moving on the om tv is bursting out so all this all this attention i’m getting
    0:46:14 all this attention now and now there’s something very particular is happening with the major european
    0:46:24 brands the luxury houses right they are bankrupt for ideas yeah you know so you couple that with
    0:46:31 what i’m doing yep and then it becomes notice say wait a minute so what i did with these symbols
    0:46:40 is to create this new idea which they named after me which is called logo mania yeah today
    0:46:51 today you see the reason louis Vuitton gucci fendi every major brand is using the format that i use
    0:46:58 when you go to the store look around look at the artist they have logos all over and that’s
    0:47:05 what i gave birth to that idea so that was the infusion that the luxury brands use so now here’s
    0:47:19 the plan first part of the plan work like this cease and desist cease and desist next thing i
    0:47:27 know the brands is coming to my store yep with anything with their logo on it yeah giving me a
    0:47:33 letter to desist what you’re doing now they all started reading you all started reading that’s part
    0:47:38 that’s part one right kept reading every time they come they taking all my merchandise and everything
    0:47:47 so that’s cost of me money in addition to that right tommy hill figure starts going to the hip hop
    0:47:54 clubs and giving out tommy hill figure jackets uh yeah you know right right right right right
    0:47:58 i’m here for your jacket right figured out yeah the influencers were yeah he figured it out earlier
    0:48:06 you know right so um now that infusion is coming from outside the pressure is coming from this with
    0:48:13 the brands right the next thing they do yo m tv rep ted ted demmy was the producer of yo m tv rep me
    0:48:19 and him had a tight relationship ted demmy told me anytime you want you just call me i’m sending
    0:48:24 a film crew to here because this is the birth of two things this hip hop here fashion here this is
    0:48:30 other side of the coin that’s moving on right they go to ted demmy and tell ted demmy if you show
    0:48:36 anything that dapper dan wears we’re not advertising with you and that’s when you started seeing the
    0:48:42 blur yeah on what the rappers was wearing right so now they’re raiding me you know what i mean
    0:48:50 they blurring the next step is to give the contractors yeah so what the first door that
    0:48:56 opened was i remember when jam message j came to the store he said that man adidas just gave me a
    0:49:07 crazy deal you remember he came in with a big gold chain with a big gold adidas shoe oh yeah and that
    0:49:14 was the beginning that was beginning of a thing then ll cool j then fooboo comes about fooboo
    0:49:22 for us by us yeah who said that for us by them do your homework
    0:49:33 do your homework so fooboo steps it
    0:49:44 ll cool j wears a hat for a photo shoot that he was doing for um for the gap yeah
    0:49:51 bam takes off everybody see that fooboo starts clocking numbers yeah so now the next idea now
    0:49:56 listen to this next idea this was our opportunity right now i’m gonna go to that next i got 23 people
    0:50:02 working i got a three-story building on 125th street 2000 square foot factory on 120th street
    0:50:12 so this is all money that’s going out right so one day fendi comes to the store with the marshes
    0:50:20 season to sys order i got a jacket a three uh a full link coat look like an aqua school coat
    0:50:26 with tuxedo black mink color black plange leather with all the black on black f’s on it
    0:50:35 soda mayo anybody know who she is soda mayo she’s a supreme court justice yeah at this time
    0:50:39 she’s working for fendi as one of the lawyers for fendi’s she comes in the store with the team
    0:50:47 she’s saying that jacket that coat is so amazing he belong downtown they don’t take me downtown
    0:50:55 they take all my clothes downtown so that these raids kept raiding me broke and raiding me broke
    0:51:01 and i kept losing money on top of that the most critical thing is now you know i started out
    0:51:08 with the gangsters but now because of the drug culture it’s imploding because they’re fighting
    0:51:14 against each other right and when they couldn’t find each other to fight late at night they knew
    0:51:22 that but they was making money so 231 warning i’m sitting in my van and these drug dealers
    0:51:28 who were no longer making money was struggling attempted to kidnap me i fought them off and
    0:51:37 they shot me and today that’s why i have a bullet at the base of my neck so what happens is and
    0:51:45 that’s why you might hear me say you cannot be in it and not of it so after after that i had to
    0:51:51 figure out you know what i had to start all over again i went from a table and selling clothes
    0:51:58 out my car to a three-story building with 23 people sewing five family members working
    0:52:04 you know in a big factory where i’m doing the cars because i did cars everything anything you
    0:52:12 wanted with symbols on it i give you all the symbols you want anyway you want so i’m doing all
    0:52:18 that so all of that vanishes yeah because you know my payroll was 12 000 dollars a week back
    0:52:25 then that’s 48 000 a month i’m just with just with the workers 48 000 a month and then i had
    0:52:31 rent on the three-story building and rent on the on the factory so all i was adding up but my my
    0:52:41 passion for the for my work is because like we was like a family so even when i got shot i’m
    0:52:47 laid up for a month i’m still paying them so that’s one month is 50 000 so all is caved in on me the
    0:52:58 next thing i know i um back on the sidewalk with a little table like this yeah selling t-shirts
    0:53:08 but i said to myself you know what i’m gonna come back so i never i remember when um my daughter
    0:53:12 said dad what’s wrong with daddy she never saw me like that i laid up for like three months
    0:53:18 just wondering what i was going to do next and then um my wife said we got to do something
    0:53:24 so i made iron on chanel t-shirts and went on 125th street the table like that dear
    0:53:30 i’m counting tour buses i counted 144 tour buses that came through i ain’t said one t-shirt
    0:53:36 but i said you know what i’m gonna figure this out again at the time guests came out right yeah
    0:53:40 i started making these little outfits for girls these little guests with the little
    0:53:48 this little like uh little uh cheerleader skirt and and nice little tops with the guest symbol
    0:53:54 and skirt and the symbol match with that little guess what order yeah and and i started selling
    0:54:01 like 30 or 40 them a day straight for six months next thing i knew i had another 100 000 you know
    0:54:08 i’m calling call it africa right so now i got enough money and i’m building me up another little
    0:54:14 team so i still can’t go off the radar right so my nephew there i get my little nephew there me
    0:54:21 and him hit the road all right so because i knew all the gangsters i would drive from new york
    0:54:26 city to chicago hitting all the black cities ah let me tell you a trick that i can tell you about
    0:54:30 this one i had a friend work for fooboo so i knew what their distribution was so i went to every
    0:54:37 place they was at going west and i come back and did the same thing going south i struggle
    0:54:44 next thing i know i had all this money again yes and then i was stable and in addition to that
    0:54:49 something new took place with the rappers now the rappers got money they forgot all about me though
    0:54:55 right no i can’t say that jz didn’t forget you know because he came of age and what they would do
    0:55:00 is send this is this gay birth to what you call the stylist today all the artists are working
    0:55:05 with stylist now so the stylist was the mediator between me and them i didn’t like that but i worked
    0:55:12 with that anyway but um i think um by the time i’m getting ready to come out the underground
    0:55:18 we had this big gap right so from the time this is important from the time that they rated me
    0:55:25 to the time that i came back all these black brands these mundari brands emerge but what they
    0:55:31 did not do was study the game they didn’t do no reading no studying and so they took
    0:55:39 the luxury idea that i created for us and took it downstairs right right one thing you never
    0:55:46 see me do i never made no gang paraphernalia i never did anything associated with that try to keep it
    0:55:51 on a luxury level so they they made it so that anybody can have it anybody can do it and then
    0:55:56 it went down so between the time that i went underground and all these brands emerged they
    0:56:02 all collapsed but this time is giving all the brands besides beside tommy hillford because
    0:56:09 he’s the first to peep it yeah all the other brands start kicking in even raffle rent because
    0:56:16 that’s why raffle rent opened up raffle rent sport and got that black model tyson yeah all
    0:56:24 that was to the lure to bring us in so now we lose all of that time while these minority brands
    0:56:28 is the emerging but they don’t understand how this is supposed to be marketed and all of those
    0:56:36 crash that give the luxury brands that gave the luxury brands time out the step in and do exactly
    0:56:42 what i was doing but charge way more yes and so that’s what we have today but they made a mistake
    0:56:53 my partners and the best guys out there today gucci created this jacket that i created in the 80s
    0:56:59 for diane dixon ha the difference now and as opposed to when i first started
    0:57:06 is that now i have a voice and i didn’t know i had a voice but that voice was black twitter
    0:57:26 black twitter said uh uh that’s dapper dance you know no that’s dapper dance
    0:57:31 trap black twitter went in right yeah so the next thing i know my son is of age now
    0:57:40 my son said dad gucci want to talk to us first we got all these entertainers and
    0:57:45 all these big wigs calling us and man yo dad man gucci’s trying to get to you through us
    0:57:52 right my son say dad gucci want to talk to you no child and i don’t trust them i haven’t been
    0:57:58 rated like crazy what i’m gonna talk now but i said they want to rape me again hey they ain’t
    0:58:03 gonna find me don’t give him my number don’t you say nothing
    0:58:13 you say no dad they want to really talk i say oh yeah i say oh you sure something he said yeah
    0:58:19 man i say tell them come to hollam they came to hollam i say damn they serious
    0:58:24 they came to hollam we ironed out this deal they said we know
    0:58:30 that the world knows who you are yeah now he say and all these brands
    0:58:38 are paying you homage but they’re not paying you yeah you’re gonna change that
    0:58:48 so they came to me with this partnership deal let’s say this is what we’re gonna do
    0:58:53 we’re gonna allow you to open up a store in hollam beautiful store a telly air no more
    0:59:01 store a telly air y’all got that yeah they’re gonna allow you to open up the telly air in hollam
    0:59:06 and you’re going to be able to do what you’ve always done produce steel only thing is without
    0:59:11 fabrication and that’s going to be a partnership in addition to that we’re going to have a
    0:59:16 Dapper Dan line and we’re going to partnership on that and that’s going to be distributed
    0:59:25 around the world and you get a percentage of that and so and and that’s the deal i made right
    0:59:33 and it was working fine then there goes another boo boo but before we go to the boo boo
    0:59:42 let’s go back to Louis Vuitton soon as Gucci gives me this partnership Louis been number one for
    0:59:53 years all of a sudden Louis brings up Virgil right now you know that’s a reaction because
    1:00:00 Gucci put me in and we got a collection ready and we’re shooting it out Louis Vuitton reacts to
    1:00:04 that by going to get Virgil and they don’t have a collection so you know it wasn’t free plan
    1:00:11 but a reaction right and that’s good because we’re getting in these spaces which is where we
    1:00:18 need to be you know but before that two important things happen first there was Gucci ghost a great
    1:00:25 kid great idea and he was doing some of the things for Gucci that I did right but he wasn’t quite
    1:00:32 Dapper Dan and then Louis Vuitton went and got supreme because supreme is connected to the
    1:00:40 millennials so they go get supreme right but what the what the public did not know when supreme
    1:00:50 made the partnership with Louis Vuitton when they initiated the line and everybody attended the show
    1:00:56 was issued a letter stating and I want you all to hear this in the back stating that this whole
    1:01:04 collection is inspired by Dapper Dan so do your homework and find out so here it is everything
    1:01:10 has come out of Harlem this creative force associated with hip hop that’s circling the
    1:01:17 planet now we got two things we got one number one is our ideas of fashion has encircled the world
    1:01:27 right to our musical platform has encircled the world the only problem is hip hop has gotten their
    1:01:35 money through trials and tribulations but we are not making any impact in fashion yeah because of
    1:01:41 what we did from the time I closed down to the time I got this partnership we didn’t approach that
    1:01:48 right so now all the brands got the power but now it’s far it’s slipping away it’s slipping away
    1:01:53 because they’re making mistakes so when Gucci made a mistake it wasn’t intentional in my opinion
    1:02:00 they made a mistake and did the blackface that was another boo boo well now I got to represent
    1:02:04 who I am and where I come from so I had to tell Gucci I said listen man I’m a black man before I’m
    1:02:10 a brand how you gonna do something you got to come back to Harlem again and explain what you did
    1:02:18 so they came back to Harlem again and we sat down and what I did was I organized all the people
    1:02:28 that I could find in the corporate world those who were responsible for the for the mechanical way
    1:02:33 that corporations work and those responsible for cultural inclusivity so that they can come
    1:02:41 around and organize a plan by which we can have a presence in Gucci so that this doesn’t happen
    1:02:46 again and we represent it right if you want to read about it it’s called a change makers program
    1:02:53 by Gucci and with it so far they didn’t hire two vice presidents they got programs to recruit
    1:03:00 young black designers or minority designers and this huge program now if you look and see what’s
    1:03:06 happening the world is is becoming a community now people are flying who never flew before people
    1:03:11 have visited country normal so the world is getting smaller people are more familiar now with our
    1:03:17 culture than ever before so we have to be represented in them places what people have to
    1:03:24 realize here man you don’t have to do like I did and start from a table we need to be inside
    1:03:29 these corporations on a higher level so we can take advantage of the opportunity to see how they
    1:03:36 run yeah and how they work so that we can do these things for ourselves yeah so last question
    1:03:41 because this is such an important point that you made when you decided to work like you
    1:03:45 could have gone the other way they sued you put you out of business you could have said well like
    1:03:49 we’re going to get rid of Gucci we’re going to sue them into the ground
    1:03:56 but you kind of took a lesson from what you learned in Africa when you visited Kenya
    1:04:03 the very good and then Uganda with Idi Amin yeah very good point so we’re not everything I did
    1:04:10 nothing that I’ve done has been I act by accident it’s all been done through research so when I went
    1:04:19 to Africa 1968 I studied the how to they handle their government and their industry so when I was in
    1:04:27 Kenya I stayed with Chief Richard Karani and he was equivalent to like a borough president right
    1:04:32 and what he taught me was that like what Joe Mokinata did when he became president
    1:04:37 like all the colonial land and the colonial houses that they had he reappropriated the
    1:04:45 colonial house and what he did was he take this clone this uh uh uh colonial house and he give it
    1:04:51 it’s two major tribes in Kenya the kikuyu and the luau he said okay you’re kikuyu you live here
    1:04:57 this you take this out you a luau you live here so he split it up so that there’d be this unity
    1:05:02 the next thing he did and the most important thing he did which is what I implicate and I talk about
    1:05:11 in fashion is that Joe Mokinata told all because the the economy was dominated by people from
    1:05:17 outside basically in East Africa they’re Indians so Joe Mokinata told the Indians
    1:05:23 that uh in Kenya he said all y’all have to have an indigenous partner in your business or you
    1:05:32 cannot do business here yeah right so that’s that that’s that the framework for Africans indigenous
    1:05:38 Africans to learn how to run these businesses right and Neary did something similar to that
    1:05:45 but Idi Amin and Uganda did something that was devastated the economy so what he did he kicked
    1:05:51 all the Indians out and he and so you didn’t have nobody inside that could take over those
    1:05:57 in the economy collapsed so this is what I was thinking about when I approached the thing with
    1:06:05 Wiguchi if we are to move up and move forward we have to be in the rooms to see how these multinational
    1:06:13 corporations work before we can start building on our own so somebody tells you this is important
    1:06:17 now and somebody tells you oh man we can start our own business tell them go get a table
    1:06:24 and let me see you do it tell them go get a table let me see you do it now what’s so important about
    1:06:30 that now say they’re gonna say oh yeah then they get bigheaded and they go get a table right now
    1:06:37 you know every 20 or 30 something years we get a powerful cultural platform you know we’ve had jazz
    1:06:44 calypso rock and roll all these all these powerful platforms by which the whole world embraces our
    1:06:51 music that we could take advantage of but they don’t last forever hip hop will morph into something
    1:06:57 else you know but now what what’s happening with hip hop today with which I’ve seen happen with rock
    1:07:04 and roll is that other people learn how to empower themselves with our culture you know I’m saying
    1:07:09 and that’s nothing wrong and that’s going to happen whether you like it or not you know so
    1:07:14 what we can do is when we get these platforms that we can take advantage of our culture
    1:07:21 then we have to be able to utilize the vehicles that are get our culture around the world by
    1:07:27 which we can make money so while you’re sitting on that table gushy louis fendi and all of them
    1:07:35 are taking elements of the culture and moving it around the world by using by using influences
    1:07:42 that are representative of our culture so that’s how this works so we get a chance to work from
    1:07:48 now now as the culture moves it changes people adapt to it so you got to keep going back to the
    1:07:53 source from which the culture come from building on that and take advantage of that and if you
    1:08:08 don’t do that you’re not paying attention on that note thank the legend

    ”You cannot be IN it… and not be OF it.”

    Dapper Dan a.k.a. Daniel Day shares his remarkable history and story of defining an era of fashion and cultural influence in this special episode of the a16z Podcast — based on his conversation in San Francisco (also available as video here) with a16z co-founder Ben Horowitz around his memoir, Made in Harlem.

    Dapper Dan pioneered high-end streetwear in the early 1980s, remixing luxury brand logos into his own designs for gangsters, athletes, and musicians — dressing cultural icons from Salt-N-Pepa and Eric B. & Rakim to Beyoncé and Jay-Z along the way. Going on to define an era, Dapper Dan’s work has been featured in exhibitions at the Museum of Modern Art, the Met, The Smithsonian, and more. But he began as a hungry, fast learner in Harlem who became a gambler; spent a brief stint in a foreign jail where he nourished himself with reading; and then studied the market to build his fashion business, trendsetting the concepts of logomania and later, influencer marketing. Today, Dapper Dan has a unique partnership with Gucci and reopened his boutique in 2017.

    From “the struggle” when not given the privileges and opportunities that others have to the struggle of building and then losing and then reinventing oneself again and again, this special episode offers inspiration for all kinds of makers — including the power of “studying the game”; the power of listening to your customers (not in the cliché way!); and the power of cultural influence… and voice.

    photo credits: Alain McLaughlin

  • a16z Podcast: From the Internet’s Past to the Future of Crypto

    AI transcript
    0:00:03 Hello, and welcome to the A16Z podcast.
    0:00:07 This episode is based on a fireside chat between Katie Hawn, Crypto General Partner,
    0:00:13 and Mark Andreessen, co-founder of the firm, during our recent inaugural Crypto Regulatory
    0:00:14 Summit.
    0:00:18 Katie asked Mark to trace some of the possible parallels between the early days of the internet
    0:00:22 and the current state of crypto, including how the browser went mainstream and its initial
    0:00:28 usability gaps, the impact of regulators and policymakers in the early days, the beginnings
    0:00:34 of commerce and the story of the world’s first online bookstore, hint it’s not named Amazon,
    0:00:37 and the original sin, as Mark calls it, of the internet, and how crypto could revisit
    0:00:42 that original sin and help create new economic models to drive the internet and the broader
    0:00:43 economy forward.
    0:00:49 Mark, you had a front row seat when the internet was kind of being developed, right, at least
    0:00:50 for consumers.
    0:00:56 How did the internet go from being this kind of weird thing that academics used, and by
    0:01:01 the way, the government, to a mainstream growth engine for the economy?
    0:01:05 Yeah, so to start with, I should say, to clarify, it wasn’t actually a front row seat.
    0:01:06 It was the little kid’s seat.
    0:01:10 It was the booster seat, whether you still use regular shoulder shop in the back of
    0:01:12 the internet van at the time.
    0:01:14 I was very young.
    0:01:18 So the evolution of the internet over time has so many echoes and comparisons to what
    0:01:19 we’re seeing.
    0:01:22 What I’m seeing now with cryptocurrency and blockchain is really quite remarkable.
    0:01:25 And so, you know, maybe the best way to think about that is kind of by actually telling the
    0:01:29 story about how the internet actually first became useful as a commercial medium.
    0:01:30 Yeah, that’d be great.
    0:01:35 And by the way, for those who don’t know, I’m sure many know, but Mark, you co-founded
    0:01:39 Netscape and brought the first kind of internet browser to mainstream.
    0:01:43 And then even before that, a team of us at the University of Illinois created Mosaic,
    0:01:45 which was kind of the prototype for what became Netscape.
    0:01:46 And so that was in 1993.
    0:01:48 And it actually turned out in 1993 was the pivotal year.
    0:01:50 And so the internet has a very interesting backstory.
    0:01:53 So first of all, you know, the origins of the internet kind of go back even decades
    0:01:56 before the nineties, you know, they go back to the fifties or sixties.
    0:02:00 And so there was academic research happening over multiple decades of the form of basically
    0:02:02 how to develop a decentralized network.
    0:02:05 And right, actually, decentralization was actually key to the internet early on because
    0:02:08 the original motivation for it was to have a network that could actually survive a nuclear
    0:02:09 attack.
    0:02:13 So it was sort of, it was born out of the present dangers of the Cold War.
    0:02:16 And as this, you know, revolutionary concept, you have this decentralized network with no
    0:02:17 central hub.
    0:02:20 At the time, there were data networks, but all data networks ran through centralized
    0:02:24 switches run by companies like AT&T and true to form the senior executives in many of the
    0:02:27 top scientists at AT&T always maintained the internet was impossible, right?
    0:02:28 It could never exist.
    0:02:29 It could never happen.
    0:02:30 It could never work.
    0:02:31 It could never scale.
    0:02:32 It could never be secure.
    0:02:33 So there’s one parallel right there.
    0:02:35 Well, there’s there’s a parallel right now we could talk more about, but it did actually
    0:02:36 start to emerge.
    0:02:42 And then it started to go mainstream in academic circles in particular in the 1980s.
    0:02:44 And it was actually at the time funded by the National Science Foundation.
    0:02:47 So it was called the NSF net was like the precursor to the modern internet.
    0:02:50 The thing that people forget today, because everybody now today you shop online and you
    0:02:53 do all the stuff online by airplane tickets and all seems so natural.
    0:02:57 It was actually illegal to use the internet for commercial activity or commercial transactions
    0:02:58 until 1993.
    0:03:01 And I want to stop you there because I remember when you told me that I thought, what?
    0:03:07 I’ve never heard that it was illegal to use the internet for commercial transactions until
    0:03:08 1993.
    0:03:09 Yeah.
    0:03:10 So it’s a different circumstance.
    0:03:12 So the illegality or sort of prohibition, let’s say, I don’t know if they could have
    0:03:14 sent you to jail, but they definitely could kick you off the network, which is kind of the
    0:03:17 same thing at least in modern life.
    0:03:20 So it was funded by the government is funded by the taxpayer.
    0:03:24 And so the government got to set the policy and the policy was called the acceptable use
    0:03:26 policy or AUP, that’s on Wikipedia.
    0:03:27 You can pull this up.
    0:03:32 And it’s basically the acceptable use policy is you can use the internet for academic non-profit
    0:03:33 individual use.
    0:03:37 If you can figure out a way to connect to it, you’re free to kind of play and explore and
    0:03:41 kind of do experimental things, but you specifically can’t engage in commercial activity and commercial
    0:03:42 transactions.
    0:03:45 For example, companies were actually connecting to the internet prior to 1993, like a lot
    0:03:48 of defense contractors were on early, a lot of tech companies were on early, but they
    0:03:51 literally technically could not sell something to somebody.
    0:03:53 And it was literally just taxpayer money.
    0:03:57 So then there was this kind of turning point moment in around ’92, ’93, ’94 that I was kind
    0:04:00 of sitting in the middle of at the time, which is sort of internet traffic was starting to
    0:04:01 really kind of take off.
    0:04:03 People kind of decided they liked this thing.
    0:04:07 And then there was sort of growing latent demand for actual commercial activity, but
    0:04:08 the government was kind of holding firm.
    0:04:11 And then basically what happened was a set of, I would say, enlightened regulators and
    0:04:15 policymakers decided basically two things at the same time.
    0:04:20 Number one is they decided to legalize, basically revise the UP to legalize commercial activity,
    0:04:25 but in parallel, they decided to hand off the internet backbone to the telecom companies
    0:04:28 at the time, AT&T, Sprint and MCI.
    0:04:30 And then that solved the economic problem, which is we’ll get companies to pay for this,
    0:04:32 so it doesn’t have to be the government.
    0:04:36 But it was a very enlightened and forward-thinking move to make this change because it wasn’t
    0:04:38 consistent with internet culture at the time.
    0:04:40 It wasn’t consistent with how this thing had gotten funded.
    0:04:42 It wasn’t consistent with any of the governance mechanisms.
    0:04:45 But there were a set of people in Washington who said, this would be a good idea.
    0:04:49 And furthermore, be good idea for internet to exist, be good idea for it to engage in
    0:04:50 commercial activity.
    0:04:54 And in fact, in crazy upside scenarios, it might be a driver of economic growth.
    0:04:59 And for those of you who are older like me, you’ll remember 1989 to 1993 in the U.S. was
    0:05:03 a severe recession, and it was grim economic times.
    0:05:07 It’s kind of forgotten a little bit because it happened a while ago, but it was pretty
    0:05:09 dark and pretty bad.
    0:05:12 And it turned out, I think, you can trace a direct line to the economic boom of 1994
    0:05:16 to 2000 from basically legalizing commercial use of the internet.
    0:05:19 I just heard you call the regulators enlightened.
    0:05:20 Enlightened regulators.
    0:05:24 My friend, Al Gore, gets a tremendous amount of teasing for having claimed to invent the
    0:05:25 internet.
    0:05:26 I will defend Al Gore’s honor.
    0:05:27 Al Gore never said he invented the internet.
    0:05:30 He said he helped to create the internet, and that actually is true.
    0:05:34 He didn’t write the code, but what he did do was he set many of the original policies
    0:05:37 for the funding of the NSF net, which led to the creation of the internet, and then he
    0:05:41 was involved in this process of basically privatization and having it become an engine
    0:05:42 for economic growth.
    0:05:45 And so he was integral, and a whole bunch of other people in Washington as well on both
    0:05:47 sides of the aisle, but he was in the middle of that whole thing.
    0:05:50 And that AUP changed then in 1993?
    0:05:52 So in 1993, the policy changed.
    0:05:54 So now it was legal to do commercial activity online.
    0:05:58 And so people started to have all these really crazy wacky ideas like, “What if you could
    0:05:59 buy things online?”
    0:06:01 And there was immediate backlash, right?
    0:06:04 Response basically was, “Okay, it’s not illegal, but it will still never work.”
    0:06:05 Because it’s not secure.
    0:06:06 Right?
    0:06:07 And so that won’t possibly work.
    0:06:10 And then the other thing, of course, that was immediately obvious was it’ll never
    0:06:12 work because big companies aren’t hooked up to it yet.
    0:06:14 And so, right, it’s all going to be these fly-by-night operations.
    0:06:16 And so that’s another parallel that you’re seeing in the crypto space?
    0:06:17 Yeah.
    0:06:19 So one of the things you talked about with crypto today is it’s like, “Okay, it’s like
    0:06:21 sort of where are the use cases?
    0:06:24 Yeah, I understand that there are these potential use cases, and yeah, there are specific examples
    0:06:28 of these use cases today, but like where’s the amazon.com of crypto, right, or where’s
    0:06:29 the Google of crypto?”
    0:06:32 And it’s like, “Okay, well, let’s think about actually where amazon.com came from.
    0:06:34 This is another kind of great analogy.”
    0:06:38 So the first internet store was a bookstore.
    0:06:39 It was not Amazon.
    0:06:44 It was a cult little tiny science fiction and fantasy bookstore on El Camino Real in Palo
    0:06:46 Alto called Future Fantasy Books.
    0:06:49 And it was kind of this legend, and if you like science fiction at the time, it was
    0:06:52 like the place in the Bay Area you’d go to buy science fiction books.
    0:06:54 I mean, it was run by a guy who’d been running the store for whatever, 30 years in the same
    0:06:55 location.
    0:06:57 And it was just like a store.
    0:07:01 And so actually another friend of mine, I got him, Brian Reed, I believe is his name,
    0:07:05 got a research lab in Palo Alto, unconnected to this bookstore as a company called DEC
    0:07:06 at the time.
    0:07:08 And he was in the research department.
    0:07:09 He said, “Boy, I really like this bookstore.
    0:07:12 It might be fun to be able to buy science fiction books over the internet.”
    0:07:13 Right?
    0:07:14 This was a new idea at the time.
    0:07:15 So he went to the owner of the store.
    0:07:16 This is in ’93.
    0:07:18 He went to the owner of the store right as this policy change happened.
    0:07:19 And he said, “You know, let’s put your inventory.
    0:07:20 You got all these books.
    0:07:24 Let’s put your inventory online so that anybody in the world can buy books from you on the
    0:07:25 internet.”
    0:07:27 And the guy’s first question was like, “What’s online?”
    0:07:28 Right?
    0:07:30 Because that’s just like a weird and unusual concept.
    0:07:32 And so then, Brian explained, you know, my friend explained like, “Okay, here’s what
    0:07:33 this means.”
    0:07:34 And then the guy’s like, “Okay, that sounds great.
    0:07:36 I would love to get orders from all over the world.
    0:07:37 I don’t own a computer.”
    0:07:39 And so Brian said, “Not a problem.
    0:07:41 I work for a big computer company.”
    0:07:43 He’s like, “You know, if you don’t have a computer, what do you have?”
    0:07:45 And the guy’s like, “Well, I have a fax machine.”
    0:07:48 So my friend basically set up in the research lab in Palo Alto.
    0:07:51 He set up the online web store, the site for the bookstore.
    0:07:54 And then you would order a book on the website.
    0:07:56 And then my friend set up a fax gateway.
    0:07:58 So the order would get sent to the store in a fax.
    0:08:00 And then the guy in the store would package up the book and sell it.
    0:08:04 In the first two weeks of that store going on the internet, that guy’s business doubled.
    0:08:05 Wow.
    0:08:09 And, you know, it’s small absolute numbers, but a huge relative boost.
    0:08:10 And that’s what it turned out.
    0:08:12 It turned out there were like science fiction readers all over the world, in particular
    0:08:15 Germany and Japan, that couldn’t get a lot of the English books in their domestic market
    0:08:17 since they immediately started to do mail order.
    0:08:19 I hope he then got a computer.
    0:08:20 He did buy a computer.
    0:08:23 Unfortunately, then Amazon came along and he went under.
    0:08:27 It’s not a totally happy story.
    0:08:29 That’s, however, the whole phenomenon worked.
    0:08:33 And that actually, you know, people who were experimenting like that kind of paved the way
    0:08:34 for what became e-commerce.
    0:08:37 But I hope that gives you a sense of how, like it was not obvious.
    0:08:40 It was not obvious that these things, it was going to make sense to these online businesses.
    0:08:43 It was not obvious that the use cases were going to have consumer demand.
    0:08:45 It was not obvious that you were going to be able to secure it.
    0:08:47 It was not obvious that there’d ever be a business model behind it.
    0:08:49 Like, all that actually had to get invented.
    0:08:52 Well, you just mentioned secure it, and I think that’s an important point.
    0:08:56 So the government, with the help of the enlightened regulators, turns this thing over kind of to
    0:08:59 the private sector, right, the internet thing.
    0:09:01 And then you have SSL.
    0:09:06 And then for those who don’t know in the audience what SSL is, it’s basically very strong encryption.
    0:09:09 Did the government then kind of discourage SSL?
    0:09:10 Yes.
    0:09:11 So what’s about that?
    0:09:12 Yes.
    0:09:13 So then they turned around and tried to ban that.
    0:09:15 You did have a front row seat there.
    0:09:16 We did have a front row seat for this, yes.
    0:09:19 So we drove encryption into kind of public use really for the first time in volume at
    0:09:20 Netscape.
    0:09:21 So basically what happened.
    0:09:23 So now the internet’s available for commercial use.
    0:09:24 Consumers are starting to log on.
    0:09:25 The whole thing’s starting to work.
    0:09:27 So then the whole problem was, okay, all the connections were unsecured.
    0:09:31 So it’s just plain text data, right, traveling back and forth over the network, including
    0:09:33 passwords and credit card numbers and everything else.
    0:09:37 And so, right, the immediate logical conclusion is this is an unsafe place to do business.
    0:09:40 No consumer, you know, the newspapers at the time were just filled with stories.
    0:09:43 Consumer guide the stories basically saying whatever you do, never, ever, ever put your
    0:09:46 credit card number on the internet, right, because it will instantly get stolen by hackers
    0:09:48 and your entire net worth will be wiped out.
    0:09:51 Now that wasn’t technically true, but that was the level of fear and anxiety.
    0:09:53 And, you know, true enough, like it wasn’t encrypted.
    0:09:55 So it was a bad thing.
    0:09:58 And so we did what we thought was the logical thing, which was we built SSL basically as
    0:10:01 the secure protocol to be able to have, you know, a client and a server connect to each
    0:10:05 other, a web browser and a web server connect, and be able to exchange information securely
    0:10:07 without hackers being able to penetrate.
    0:10:08 What did the government say about that?
    0:10:10 Well, we thought this was a really good idea.
    0:10:11 And so we brought it to market, you know, we were about ready to launch it.
    0:10:15 And then we discovered a regulatory regime that we were previously unaware of called
    0:10:19 ITAR, which some of you may know about.
    0:10:23 It’s like international trade and arms and something, something, something, bad stuff.
    0:10:25 And so it’s the regulatory structure, I don’t know if it’s still current, but at least
    0:10:28 the time it regulated Tomahawk missiles, right?
    0:10:30 And like napalm and all kinds of fun things.
    0:10:31 Export controls.
    0:10:32 Export controls.
    0:10:36 And so it basically governed what U.S. weapons manufacturers effectively could export overseas,
    0:10:41 by the way, which, fair enough, I’m in favor of regulating Tomahawk missiles.
    0:10:43 It turned out encryption was on that list, strong encryption was on that list.
    0:10:48 And so the basic deal was at the time in the U.S., you were allowed to, we could build
    0:10:51 strong encryption into the browser, strong encryption being encryption that was either
    0:10:53 hard or impossible, depending on your point of view to break.
    0:10:57 There’s a big debate about hard versus impossible, but fundamentally difficult to break.
    0:10:59 And therefore safe for consumer use, let’s say.
    0:11:02 So we were allowed to do that in the U.S., but we were not allowed to export it.
    0:11:05 And so that led to this very lovely compromise we came up with, which is there were two versions
    0:11:06 of an escape navigator.
    0:11:08 And it was the same product, but there were two different boxes.
    0:11:14 The sticker on one box said strong encryption, the sticker on the other box said weak encryption,
    0:11:15 which is true.
    0:11:16 So the export —
    0:11:17 What’s sold better?
    0:11:18 What’s that?
    0:11:19 What’s sold better?
    0:11:20 Yeah, well, it’s funny.
    0:11:21 Funny, the market demand would line up maybe the way that you think it would.
    0:11:22 And so, yeah, right.
    0:11:23 Here’s the soft drink that tastes terrible.
    0:11:24 Right?
    0:11:26 Let’s see if people want to drink that.
    0:11:29 So we were allowed to sell the browser overseas, but it was deliberately weakened now.
    0:11:33 We were — and by the way, by weak, I mean like it was trivial — it was weak.
    0:11:36 We had to degrade the encryption to the point where basically anybody could crack it.
    0:11:39 Anybody with a computer and any level of software skills would be able to crack the encryption.
    0:11:40 So basically useless.
    0:11:44 The good news is all the other American companies were under the same restrictions we were.
    0:11:48 So it’s not like any of our American competitors kind of outfox us by launching globally.
    0:11:52 The problem was — I’ve heard rumors, America is not the only country in the world.
    0:11:55 And so it turns out there are a bunch of other countries, and it turns out they have sharp
    0:11:56 software people also.
    0:12:00 And so then we immediately started to see this kind of cascade of international competitors.
    0:12:03 It’s the most obvious way to compete with American software companies.
    0:12:06 We’ll do the thing that they literally are not legally allowed to do.
    0:12:08 So then it became a rush of foreign competition.
    0:12:12 Well, speaking of parallels between crypto and the internet, one of the things that
    0:12:16 I hear a lot — I know you hear this too — is, well, crypto is so hard to use.
    0:12:20 Like, mainstream consumers can’t possibly figure this out.
    0:12:21 It’s all janky.
    0:12:25 But I know you’ve talked to me about it, and I’d love to hear your take on, you know,
    0:12:28 just how easy was it to get on the internet in the early days?
    0:12:29 Yeah, super easy.
    0:12:30 You just pressed a button.
    0:12:32 No, that’s not true at all.
    0:12:33 So I’m a consumer.
    0:12:34 I’m just a normal consumer.
    0:12:36 And let’s say I’m totally comfortable with computers.
    0:12:37 And so I know how to use computers.
    0:12:38 I own a computer.
    0:12:39 I’m perfectly happy with computers.
    0:12:43 And it’s 1992, 1993, and I read about this internet thing.
    0:12:44 I want to go on the internet.
    0:12:46 So I go on my computer, and I look for the internet button.
    0:12:47 There’s no internet button.
    0:12:51 None of the computers in 1992, 1993, the consumers had had any internet awareness at all.
    0:12:53 They didn’t have the software for access on the internet.
    0:12:55 They didn’t have any of that stuff.
    0:12:59 And so basically what you would do is — this is literally true — what you would do is,
    0:13:02 if you knew to do this, you would go to a bookstore.
    0:13:06 They used to have these physical places read by books.
    0:13:10 And you would buy a book, and the book would be how to use the internet.
    0:13:12 And there was a point when it seemed like all the bookstores were just going to be taken
    0:13:16 over by literally just internet books, because this was how you got online.
    0:13:19 So you’d bring the book home, and you’d read the book, and you’d tell you all these great
    0:13:22 things about the internet, and then there would be a floppy disk, if you remember those,
    0:13:23 in the back of the book.
    0:13:26 And the floppy disk had the software that you had to load on your PC in order to get
    0:13:27 on the internet.
    0:13:31 If you’re technical in the room, it’s the TCP/IP stack and all the other kind of networking
    0:13:32 coders on that disk.
    0:13:36 And so you then had to go through a 38-step process, if you took you through this in the
    0:13:37 book, of sticking the floppy.
    0:13:40 And you basically had to rebuild — essentially rebuild your operating system on the fly as
    0:13:42 an end user to add the internet support.
    0:13:44 It’s a very complicated process.
    0:13:46 By the way, you need to be very careful doing this, because if you made a mistake, you would
    0:13:48 probably break your computer forever.
    0:13:52 It would probably totally stop working, because you were mucking around in the operating system.
    0:13:54 And so you wanted to be very careful kind of through that part.
    0:13:56 So then you’d get all the way to the end of that process, and be like, “Great, I’m ready
    0:13:57 to go on the internet.”
    0:14:00 And then it’s sort of step 38, you know, the end, okay, congratulations.
    0:14:02 Now you’re ready to go buy a modem.
    0:14:03 Right?
    0:14:04 And so then you’re like, “Okay, so what’s a modem?”
    0:14:05 All right.
    0:14:08 And so then it’s like, “Okay, now I have to go find a computer store, and I have to
    0:14:12 pay whatever 300 bucks to buy a modem, which used to be the thing that connected the computer
    0:14:13 to the network.”
    0:14:14 And then you bring that home.
    0:14:17 You had to plug the modem into the computer, and then you had to configure the computer
    0:14:19 and the modem to actually work with each other.
    0:14:22 And that was like another 38-step process that you had to do very carefully.
    0:14:24 And it was another process you didn’t want to screw up, because you were mucking around
    0:14:26 in your operating system.
    0:14:28 So then you get all the way through that and say, “Okay, got a modem, we’re ready to go
    0:14:29 on the internet.”
    0:14:31 And then I would say, “Now you need to sign up for an ISP.”
    0:14:32 And then that began the process.
    0:14:33 What’s an ISP?
    0:14:34 Internet Service Provider.
    0:14:37 Okay, that’s who your modem is going to call to go on the internet.
    0:14:41 And so then that began the process of like, “Okay, what’s an ISP, who’s an ISP?”
    0:14:45 And these are in the days where most people who were using networks at home were using
    0:14:49 AOL, which was sort of a proprietary version of all this, but it was not a full ISP at
    0:14:50 the time.
    0:14:51 So you’d have to go track down.
    0:14:54 A lot of these are like these little local ISPs, these little local neighborhood companies,
    0:14:58 almost like the old neighborhood cable company, remember those days.
    0:14:59 So then you’d have to call the ISP.
    0:15:02 Remember, you’re not on the internet, so you can’t search for the ISP on the internet.
    0:15:06 You got to go in the yellow pages, you find your local ISP, you call their phone number
    0:15:11 and you sign up and you tell them your credit card number, and they give you the code.
    0:15:14 And so basically, you know, this is like four weeks later, right, that you’re going through
    0:15:15 all this.
    0:15:17 And then of course hit dial, then you get the busy signal.
    0:15:19 That’s how straightforward it was.
    0:15:20 And so, and there was a good…
    0:15:21 It makes crypto seem easy.
    0:15:22 It does.
    0:15:23 It does.
    0:15:24 Crypto is easier.
    0:15:25 Crypto is easier.
    0:15:28 Now, I would say the good news is, in the earliest internet, you could argue like it applied
    0:15:32 a high bar to the people who got on the internet, like you had to really want to use this thing.
    0:15:37 And so, you know, the people who were on the internet early on were like incredibly enthusiastic
    0:15:39 and like just absolutely thrilled to be there because, you know, it was like joining the
    0:15:41 Marine Corps, like it was effort, right?
    0:15:43 And so, you know, that was the good news.
    0:15:44 The bad news is it was obvious.
    0:15:45 I mean, this was just…
    0:15:46 This was absurd.
    0:15:47 Like this was just absolutely patently absurd.
    0:15:48 And so then a whole…
    0:15:51 You know, there were then several years of work by us and others to kind of streamline
    0:15:53 this thing to the point where you all have today and your views just come…
    0:15:54 Well, thank you.
    0:15:55 Because I…
    0:15:58 Thank you for letting me just develop products so I can now push a button.
    0:16:00 But you did talk about it with the internet.
    0:16:04 Now, we can get on the internet easily, but we’ve called something before.
    0:16:08 I think I’ve heard you call it the original sin of the internet.
    0:16:09 What is that?
    0:16:10 Oh, okay.
    0:16:14 So then you go on the internet and then you see something that you might want to buy or
    0:16:15 pay for.
    0:16:18 Like let’s say hypothetically that you wanted to have like an online newspaper or something.
    0:16:20 And let’s say hypothetically you wanted to like read an article in that paper and you
    0:16:23 know, maybe you wanted to have an economic relationship where you were like paying for
    0:16:26 the information you’re getting because then you know there’s like alignment of interest
    0:16:29 between the person writing information and what you’re reading.
    0:16:32 So you might think their logical thing to do might be there must have been a button
    0:16:34 in the browser that was like a buy button, right?
    0:16:35 It’s like you actually kind of have…
    0:16:38 You finally kind of have this in the form of like the Apple App Store with like the…
    0:16:40 You know, the one click buy and then the…
    0:16:41 Amazon.
    0:16:43 The in that payments or one click buy on Amazon.
    0:16:46 But like one would think like it was the most obvious thing to do would be building the
    0:16:48 browser like the ability to actually spend money, right?
    0:16:52 And so you’ll basically notice like that didn’t happen.
    0:16:54 And in a lot of ways it’s like we don’t even think it’s unusual that that didn’t happen
    0:16:56 because maybe that shouldn’t have happened.
    0:16:59 But if you think about it, there isn’t a call to the original sin and I’ll explain why.
    0:17:03 But because we were unable to build payments into the browser and I just like flat out say
    0:17:04 we’re unable to do it at the time.
    0:17:05 I want to hear why.
    0:17:06 Yeah.
    0:17:07 Well, I’ll explain why.
    0:17:10 But as a consequence of being unable to do it, that is why the internet today at least
    0:17:14 in the West and in the U.S. is predominantly based on advertising, right?
    0:17:15 And so…
    0:17:17 And by the way, kind of downstream from advertising is kind of everything else that people are
    0:17:19 like anxious and worked up about online, right?
    0:17:24 All this privacy, user data collection, user data targeting, all these third-party ad networks
    0:17:27 that collect all this harvest, all this data, the data brokers.
    0:17:30 And then kind of the misalignment of incentives, you know, is the news site that you’re reading.
    0:17:33 Do they have the incentive to actually tell you the truth or are they actually getting
    0:17:34 their money from the advertiser?
    0:17:36 And so they’re just trying to get you all hyped up on something so that you’ll click
    0:17:39 on more stories so they can generate more ad revenue.
    0:17:43 And so I think the original sin was we couldn’t actually build economics, which is to say
    0:17:44 money to the core of the internet.
    0:17:46 And so therefore, advertising became the primary business model.
    0:17:48 Did you try to build?
    0:17:50 We tried very hard to build payments into the browser.
    0:17:51 It was not possible.
    0:17:52 Why?
    0:17:53 Well, we made a huge mistake.
    0:17:56 We tried to work with the banks and we tried to work with the credit card companies.
    0:17:59 Let me start by saying those organizations have come a long way.
    0:18:02 And so I’m not talking about the banks and the credit card companies today.
    0:18:04 I’m talking about them in 1993.
    0:18:08 And so we went to — actually, it’s funny, so we got embroiled early on in this kind
    0:18:09 of big fight with Microsoft.
    0:18:11 And so we ended up aligned with MasterCard.
    0:18:15 The basic thing was to get into the credit card switch to be able to do transactions,
    0:18:17 particularly microtransactions, like small transactions.
    0:18:21 So we allied with MasterCard, Microsoft allied with Visa, and I bring up the Microsoft part
    0:18:25 because it’s not — because you might say, “Okay, Mark, you try to do this, but you and
    0:18:27 Netscape’s a little company, and maybe you guys just screwed it up.”
    0:18:31 And it’s like, “Well, Microsoft also — Microsoft and Bill Gates also couldn’t make it work
    0:18:32 with Visa.”
    0:18:35 So both of us ended up frustrating by the same thing.
    0:18:38 And so, you know, then we went — so we approached the credit card companies.
    0:18:43 We sat down with our first meeting with MasterCard in 1994, you know, they said they wanted
    0:18:44 to work with us to put money in the browser.
    0:18:47 So they said, “Well, who at MasterCard should we meet with?”
    0:18:49 And they said, “We’ve got this guy,” and I’ve long since forgotten his name.
    0:18:51 “We’ve got this guy, Joe, who’s like our technology visionary.
    0:18:52 And so he’s the guy.
    0:18:54 If anybody in the organization is going to understand this stuff, it’s going to be
    0:18:55 great.
    0:18:58 And so we had Joe over to our office and sat down with Joe, and sat Joe — we’re going
    0:18:59 to demo.
    0:19:02 He hadn’t seen any of this, so we sat Joe down in front of a PC hooked up to the Internet
    0:19:03 with the browser, and we kind of said, “Okay.”
    0:19:05 And I kind of just said, “Okay, here’s the browser.”
    0:19:08 I said, “Okay, click on — click on this link.”
    0:19:09 Right?
    0:19:10 And so, you know, he does the logical thing.
    0:19:16 He takes his finger, presses it on the screen, completely ignoring the mouse that’s sitting
    0:19:17 on the side of the thing.
    0:19:18 And I was like, “No, no, use the mouse.”
    0:19:19 Right?
    0:19:24 And he’s like — and I was like, “Okay, it’s 1994, it’s nine years since Apple invented
    0:19:26 the Macintosh.
    0:19:27 He has never seen a mouse.”
    0:19:28 But he was the visionary.
    0:19:31 He was the technology visionary at MasterCard, and I was like, “Oh, God, we’re just completely
    0:19:32 hosed.”
    0:19:34 Like, there’s just no way on Earth —
    0:19:35 And so you were hosed.
    0:19:36 You didn’t get it, but then —
    0:19:37 We were completely hosed.
    0:19:38 We were completely hosed.
    0:19:40 And so we went through the entire thing, and he stared at us, like, you know, we had three
    0:19:41 eyes.
    0:19:43 Microsoft went through the same thing with Visa at the time, like, it was just a completely
    0:19:46 incomprehensible concept, and then the banks could not have been less interested.
    0:19:50 And so basically, it was, you know, it was sort of the classic kind of single point of
    0:19:53 failure bottleneck, or at least in this case, two points of failure with Visa MasterCard essentially
    0:19:54 had a duopoly at the time.
    0:19:57 And so they were just literally — you know, they just — if they did not want you to be
    0:20:00 in the switch, they did not want you to be able to do transactions, you just simply weren’t
    0:20:01 going to do it.
    0:20:03 If you had had crypto then, how would that have changed the calculus?
    0:20:07 Yeah, so this is the what-if, and so, you know, so the modern — what we’re all here to talk
    0:20:10 about today, like modern Bitcoin blockchain, you know, sort of a new sense — effectively
    0:20:11 since 2009.
    0:20:14 So, you know, we were kind of, what, 15, 20 years too early.
    0:20:17 If we had had it, we would have been able to have a parallel transaction system, like
    0:20:21 completely parallel transaction system that would not have been reliant on the centralized
    0:20:22 gatekeepers, right?
    0:20:23 Hypothetically, it would not have mattered.
    0:20:26 You know, if Visa MasterCard had wanted to cooperate, this is the time that would have
    0:20:27 been great.
    0:20:28 We would have done it.
    0:20:30 But had they not, we still would have had a route to actually be able to build a transaction
    0:20:31 network that wasn’t dependent on them.
    0:20:33 And so that to me is the great what-if.
    0:20:36 And had we done that, the internet today, like I was just like, I don’t know, 80 percent
    0:20:39 of the things that people hate about the internet today would not be problems.
    0:20:42 And then the other kind of what-if, and this is a big part of why we’re excited about crypto
    0:20:45 and blockchain now, the other part of the what-if is it’s like, okay, what if you could
    0:20:49 actually align economics, right, with user behavior and with company behavior?
    0:20:52 Like what if you could actually have, I mean, it’s kind of the way the real world works.
    0:20:54 The real world works is how do I know that something is valuable, if somebody is willing
    0:20:55 to pay for it?
    0:20:56 Well, how valuable is it?
    0:20:57 Well, how much are they willing to pay for it?
    0:21:01 And then by the way, any individual provider of any product or service, if they’re not
    0:21:05 doing a good enough job, somebody else offers it, and then you write the consumer votes with
    0:21:08 their wallet, and they go buy from somebody else, and so you have market discipline on
    0:21:09 all the players.
    0:21:13 And so the big what-if is like what business models could have existed this entire time,
    0:21:14 right?
    0:21:16 What drivers of economic, because look, the internet generated a lot of economic growth
    0:21:18 just for the advertising model, right?
    0:21:22 And so like what if you had had kind of the turbocharge of a real economic model based
    0:21:25 on money kind of integrated into the thing from the very beginning?
    0:21:27 What kinds of services would entrepreneurs have come up with that we haven’t even thought
    0:21:28 of yet?
    0:21:29 Or what might they come up with still?
    0:21:31 What might they come up with now?
    0:21:34 And so one of the reasons why we’re so excited about crypto and blockchain is it’s basically,
    0:21:38 it’s the first chance I’ve seen, it’s the chance to kind of revisit the original sin.
    0:21:41 And you know, it’s different now because it’s like, you know, the internet cats out
    0:21:45 of the bag and like the browsers are proliferated and it’s a different game now.
    0:21:49 So it’s much more already fixed and established on the other hand is it, you know, huge scale.
    0:21:52 And so you don’t need that many people experimenting with something to get critical mass on a new
    0:21:53 thing these days.
    0:21:57 And so this is a chance to kind of reexamine that original sin and kind of envision, you
    0:22:00 know, for the first time in a long time be able to say, okay, what if we could build a
    0:22:04 different kind of system, you know, for example, a system in which, for example, advertising
    0:22:05 was not the central model?
    0:22:08 And how might that be an improvement, either an improvement on what we have or just something
    0:22:11 completely different and, you know, better and potentially, you know, much bigger than
    0:22:12 what we have today.
    0:22:15 And so I think I think that, you know, this is, as we see every day, this is the wave
    0:22:18 of entrepreneurship that we’re seeing now at our firm, which is entrepreneurs kind of
    0:22:19 thinking in these terms.
    0:22:20 Absolutely.
    0:22:21 Well, where are we in this crypto journey?
    0:22:26 I mean, having seen a technology like the internet go from something technical and obscure
    0:22:31 to now a technology used by billions of people, where do you think we are in the crypto journey?
    0:22:34 So my personal view, so it’s like, you know, what are the possible points?
    0:22:38 It’s like, okay, it’s like the possible points are like, it’s like, I don’t know, 1965 or
    0:22:43 something, and Vint Cerf and Bob Conner are coming up with the original idea for TCP/IP.
    0:22:48 It’s like 1989 when it’s present on university campuses, but like no normal person would
    0:22:53 use the stuff, 1992 when it’s like a fringe activity, but it’s not quite mainstream yet
    0:22:55 and it’s still kind of too hard to use.
    0:22:57 And then kind of 1994 where it kind of goes mainstream.
    0:23:01 I mean, it feels to me, it’s sort of 1992, like 1992, 1993 somewhere in there.
    0:23:05 Like it clearly, like they’re like, the usability gap still has a ways to close, although it’s
    0:23:06 getting closer.
    0:23:08 You know, the use cases, they now, you know, several big use cases exist.
    0:23:11 They have to be, they have to be kind of more productized and provided to more people, but
    0:23:13 like it’s starting to feel really, really close.
    0:23:16 And by close, I mean really, really close to like mainstream, the kind of knee and the
    0:23:17 curve.
    0:23:20 By the way, it’s also worth saying like it was not, I think I made the point in kind
    0:23:24 of macro ways, but I made the larger mac or microwaves, I made the larger macro point.
    0:23:27 It was not clear in 1984, the internet was going to hit the knee and the curve.
    0:23:31 Like that was not, if you just like read the press coverage of the internet in 1994, it
    0:23:33 was like, this thing is a joke, it’s a toy, it’s not serious.
    0:23:36 Hey, at least it didn’t have a real time price feed, like crypto.
    0:23:37 That is true.
    0:23:38 Yeah.
    0:23:39 It’s a real time price.
    0:23:40 That would have been extremely depressing.
    0:23:41 Yeah.
    0:23:43 Well, is that a feature or a bug?
    0:23:44 It’s both.
    0:23:47 It’s a feature just in the sense of like it, it just shows the fact you can get, you know,
    0:23:51 the system is kind of alive and running, which was, the internet was kind of an open question
    0:23:53 that a lot of people didn’t think the thing was even going to laugh.
    0:23:57 And so it’s sort of a marker of like, let’s say existence, like it’s a pulse.
    0:23:59 So it’s good to have a pulse.
    0:24:02 It’s bad because you see this in the stock market right all the time, which is just,
    0:24:06 there’s actually, this is a long established theory in behavioral finance with stock prices,
    0:24:09 which is the more often you can measure something’s price, the more manic depressive the behavior
    0:24:11 comes around that price.
    0:24:14 And so there’s actually, you know, there are markets in which transactions happen, you
    0:24:18 know, venture capitals like this, transactions happen every year or two or three.
    0:24:21 And so there’s only price kind of measures is only kind of core samples of price every
    0:24:23 year or two or three.
    0:24:27 And so, you know, 364 days out of the year, nobody’s paying attention to the price.
    0:24:28 Nobody’s talking about it.
    0:24:29 It doesn’t matter.
    0:24:30 You’re just working on the underlying thing.
    0:24:33 You know, once you go public, it’s this radical change where now the stock, you know,
    0:24:37 if you want, you can now see a real time stock ticker, you know, you can, you can see the
    0:24:40 price every five seconds and you can get all excited when it goes up and you can get all
    0:24:41 depression it goes down.
    0:24:45 And so you definitely have this psychological manic depressive overlay that we didn’t have.
    0:24:46 Yeah.
    0:24:47 Absolutely.
    0:24:48 Well, we have time for one more question.
    0:24:52 I think I’m just under the wire and that’s a question I think with all the regulators
    0:24:55 here in the room and also all the crypto builders in the room.
    0:24:59 Are you, and I know you’re very bullish on Silicon Valley and keeping companies here.
    0:25:04 Are you optimistic that the U.S. can be a center for emerging financial technologies
    0:25:07 like crypto given the regulatory environment here?
    0:25:08 Yeah.
    0:25:11 So I think this is quite, this is very, this again is very analogous to the Internet because
    0:25:12 this could have gone the other way.
    0:25:17 Like had the AUP not been updated by the, by the, by the government 93, you know, we
    0:25:18 could have definitely strangled it.
    0:25:21 We had two, we had two chances to strangle the Internet and its crib here in the U.S.
    0:25:24 And we, we missed both of those chances, which I think, I think is really good.
    0:25:30 And I think we got, you know, tremendous national payoff and many, many fronts, including economic
    0:25:32 growth coming out the other side of that.
    0:25:33 I’m very optimistic.
    0:25:35 Like we, we’re in kind of the same position.
    0:25:36 We have the raw materials.
    0:25:37 Like we’re in the best position.
    0:25:39 We have the critical mass of talent.
    0:25:41 You know, we’ve got, we’ve got the entrepreneurship community.
    0:25:42 We’ve got the venture capital.
    0:25:45 We’ve got the research universities where a lot of this work is happening.
    0:25:47 A lot of it’s happening in the U.S.
    0:25:49 We’ve got, you know, this risk taking culture.
    0:25:51 You know, we just, we have a huge domestic market.
    0:25:54 We have experience building multinational technology companies that can operate all over
    0:25:55 the world.
    0:25:58 And so we’ve got like all the raw materials to have this be a major engine for economic
    0:25:59 growth.
    0:26:02 However, much like the Internet and also like encryption, like the, the cat is well and
    0:26:03 truly out of the bag.
    0:26:05 Like there are crypto startups all over the world, right?
    0:26:08 This is happening today and new kinds of fintech startups all over the world.
    0:26:12 And so it, it is going to be a race, I think for sure.
    0:26:15 And I think there’s a major, by the way, I think there’s a major economic argument that
    0:26:16 we should want this to happen in the U.S.
    0:26:19 And that we want the U.S. to be kind of the foundation for the global, you know, financial
    0:26:20 services industry.
    0:26:24 And for the global R and D in this area, I think there’s actually also national security
    0:26:28 reason we should want that, which is, you know, same reason it’s good for national security
    0:26:29 standpoint for the U.S.
    0:26:31 Internet companies to be the winning companies, because like we want those to be American
    0:26:35 assets that gets good from a national security standpoint for the global financial system
    0:26:36 to be centered in the U.S.
    0:26:40 And so again, I think there’s the opportunity here for enlightened policy, you know, that
    0:26:43 helps set the right guidelines and the right guardrails, but fundamentally enables American
    0:26:45 businesses to win these markets.
    0:26:48 And I think that would be better for us than most of the alternatives.
    0:26:52 Well, enlightened policy, enlightened regulators, and on that note, I think we’re out of time.
    0:26:53 And thank you very much.
    0:26:54 Good, good.
    0:26:54 Thanks, everybody.
    0:26:55 [applause]
    0:26:55 [end of transcript]
    0:26:57 (applause)
    0:27:00 (audience applauding)

    What can we learn from the history of the internet for the future of crypto? In this episode of the a16z Podcast, general partner Katie Haun interviews a16z co-founder Marc Andreessen — and co-founder of Netscape, which helped popularize and mainstream the internet for many — and who also penned ”Why Software is Eating the World” (in the Wall Street Journal in 2011) and ”Why Bitcoin Matters” (in the New York Times in 2014).

    This episode is based on a fireside chat between Katie and Marc at our inaugural Crypto Regulatory Summit, which brings together leading crypto experts and builders, other technologists, academics, industry executives, and government officials — along with forward-thinking regulators — to foster collaboration and the exchange of ideas around this important emerging industry.

    Why is crypto an important evolution (or revolution) of the internet? What can entrepreneurs, corporations, and policymakers learn from the beginnings of the browser, e-commerce, and other examples about how emerging technologies move forward?

  • a16z Podcast: What to Know about FedRAMP

    AI transcript
    0:00:05 Hi everyone, welcome to the A6NZ podcast. I’m Sonal and today’s episode is all about a compliance
    0:00:10 topic, FedRamp, which is going to affect a lot of enterprise SaaS companies selling to government,
    0:00:15 and actually even if not. So, we share everything that startups need to know in this episode.
    0:00:19 Please note you can find all the pointers, templates, and other links they mention
    0:00:24 in the show notes at A6NZ.com/FedRamp. I highly recommend you check that out, too,
    0:00:29 to get all the resources after listening to this episode. Okay, so now onto the intros.
    0:00:35 This episode is hosted by A6NZ board partner Stephen Sinovsky, who interviews Lisa Hock,
    0:00:40 VP of Security and Compliance at A6NZ company Everlaw. By the way, you can also catch both
    0:00:45 Lisa and Stephen on another interesting compliance topic that applies to many tech startups as well,
    0:00:52 GDPR, which we covered last year by going to a6nz.com/GDPR. But this episode is all about FedRamp,
    0:00:57 which stands for the Federal Risk and Authorization Management Program.
    0:01:02 And here’s what they cover, what risk means in selling to the government depending on your
    0:01:06 product features, some of the most commonly used acronyms to be aware of, which they quickly
    0:01:12 lightning round in between, how similar or different FedRamp is to other types of certification,
    0:01:18 authorization, and compliance, such as ISO, SOC2, GDPR, even HIPAA. Most importantly,
    0:01:23 they break down the steps to FedRamp certification, including how and when to engage third-party
    0:01:28 auditors and advisors, how long it takes, and how it affects sales. They also share the best
    0:01:33 strategy for moving forward with a customer lined up first, but they begin by discussing
    0:01:39 why startups should consider FedRamp in the first place. Before everybody gets cynical about
    0:01:46 acronyms with the word Fed in them and security and the government and all this other stuff,
    0:01:51 this is some pretty interesting things that you can do for your company, and it opens up a world
    0:01:57 of opportunity in terms of selling to the United States government and beyond, as we’ll talk about.
    0:02:02 So first, welcome, Lisa. Thanks, Stephen. So if you’re the CEO of a company, what are the core
    0:02:09 benefits of pursuing a FedRamp authorization? So if you’re the CEO of a cloud company and you
    0:02:14 want to sell your product to federal agencies, FedRamp is probably going to be the only way in.
    0:02:19 There are some exceptions, very limited, for instance, if you wanted to a private deployment
    0:02:23 in a facility for a single agency, but that’s not what we’re talking about today. We’re talking
    0:02:29 about having a FedRamp authorization, which, for the record, we are in process at Everla. We don’t
    0:02:34 have our authorization yet, but it does open up a whole new market for you for all of the federal
    0:02:39 agencies, and as well, it provides some credibility to the general market from a security standpoint
    0:02:43 outside of government. Yeah, that’s something that we hear all the time, is that even if you want
    0:02:50 to sell to a company, a private or public company that isn’t the government, they might look to see
    0:02:55 like, “Hey, did you get FedRamp certified?” So we know now that FedRamp’s a requirement to sell
    0:02:59 to the government, and in most markets, especially in the US, the government is potentially a very
    0:03:06 big or the biggest potential customer for enterprise SaaS. No matter which agency you want to sell to,
    0:03:11 you know, from DoD to Ag or HHS or whatever, FedRamp is going to be required. And in many cases,
    0:03:15 like these connected or affiliated state organizations as well, something we learned in
    0:03:20 Everla is that if you want to sell to a state attorney general, they’re going to want FedRamp
    0:03:25 authorization as well, just because chances are they’re going to be involved in litigation with
    0:03:31 the federal agencies. So what is it that FedRamp actually, you know, quote, tests for in its process?
    0:03:38 So FedRamp stands for the Federal Risk and Authorization Management Program. So FedRamp,
    0:03:44 like the acronym says, it’s all about risk. It’s really a program that’s designed to provide
    0:03:50 federal agencies with the information they need to make their own informed risk-based decision
    0:03:55 about whether to adopt cloud and, you know, a specific product. I think there was a general
    0:04:01 recognition that in order for federal agencies to adopt cloud, they had to put in place a way for
    0:04:08 companies to meet the federal standards and, you know, allow the federal agencies to do these risk
    0:04:13 assessments. Risk is a very amorphous concept. How do they actually evaluate what risk? Well,
    0:04:18 for the security folks listening, hopefully this will be comforting in the sense that
    0:04:27 they didn’t make up something new. They use the CIA framework. Not the CIA. No, confidentiality,
    0:04:34 integrity, and availability. So for companies that have been through, say, a SOC2 or maybe ISO,
    0:04:41 they’ll have heard these terms. And in addition, they also look at baseline or impact levels,
    0:04:45 high, moderate, or low. The high, moderate, or low are actually pretty important because that
    0:04:51 puts people into buckets of sort of users of the product. Yeah, exactly. So when you’re going
    0:04:56 through a FedRamp authorization, you’re going to have to look at your product and figure out,
    0:05:02 okay, based on the impact and the information that is going to be in that cloud product,
    0:05:10 what level are you high? So think law enforcement for high. Think DoD, federal criminal information,
    0:05:15 or are you moderate? Like normal, the agriculture department or something like that, where it’s
    0:05:23 sort of routine work. Yeah, exactly. And then for low or there’s even another… Like a low or low?
    0:05:28 A low or low. Yeah, it’s called low impact SaaS. That’s a mean name. We don’t mean that your product
    0:05:34 is low impact. No, but they did create the low impact SaaS for products that only contain enough
    0:05:39 personal information to essentially set up an account. So they need your name, they need your
    0:05:44 email, there’s going to be a password, but you’re not holding really confidential or sensitive
    0:05:50 agency information. So based on those impact levels, that is going to determine which baseline,
    0:05:56 and the baseline is the set of controls, and they have on the high end, the most controls on the
    0:06:02 moderate, around 300. The four levels of impact levels, it’s super interesting. There’s only
    0:06:07 seven authorizations for high security stuff, and they’re all mostly… They’re just the
    0:06:11 cloud infrastructure providers. In fact, of the seven highs, I actually went and looked at
    0:06:14 those, I thought it was interesting, three of them are Microsoft, just the different parts of
    0:06:20 Microsoft, and then Oracle and some specialized ones and AWS. So nobody has to worry about this
    0:06:25 extreme bar if you’re mostly an app. They’ll guide you to moderate or low.
    0:06:31 One cool thing about the FedRAMP.gov website is they have a marketplace for the folks out there
    0:06:35 kind of wondering, all right, what companies are doing the high, who’s doing low, who’s doing
    0:06:40 moderate, you can sort by that. And it’s kind of interesting because like you pointed out,
    0:06:45 the great majority are in the moderate category. And then there’s a handful of highs and a handful
    0:06:50 of lows. So given that they’re not there to really bug Silicon Valley companies and make it hard for
    0:06:54 the government to become a cloud provider, it’s the opposite. The directive was specifically,
    0:06:59 we want to get the government on cloud. Like it’s too expensive to be on-prem, it’s let’s secure,
    0:07:03 it’s harder to do, it’s less agile. So we want to get the government on cloud.
    0:07:08 If you’re a government agency, what are some of the things that you observe right away when you
    0:07:13 see a FedRAMP authorized product sort of show up? Like what is it different about it?
    0:07:19 Well, I think if you’ve gone through FedRAMP, you’re going to show up looking a lot more organized.
    0:07:24 You’re going to have that governance infrastructure in place because FedRAMP is a mix of very
    0:07:30 technical things, but also governance related things. So if you’ve set up your security program
    0:07:36 in a way that addresses things like personnel security, policies and procedures for specific
    0:07:41 things like role-based access control, then you’re going to show up as looking like you really have
    0:07:47 your act together compared to a company that has these various security controls in place,
    0:07:52 but maybe hasn’t gelled them into a program. I should have mentioned this earlier. So all of
    0:07:58 these sets of controls for the high, moderate and low baseline are separated into control families.
    0:08:02 So for example, incident responses of family, but the more technical ones are things like
    0:08:07 configuration management, which deals with creating blueprints for the server types to
    0:08:12 meet functionality and hardening requirements, things that require implementing center for
    0:08:18 internet security benchmarks. And we’ll provide a link to the CIS benchmarks as well.
    0:08:23 Obviously, one of the things that ends up mattering the most security is just sort of access and
    0:08:28 identity and the role of authorization in general. Where does that fit in in these families?
    0:08:34 So it spans several of them, but there is one control family called IA, which means identification
    0:08:39 and authorization, which deals with how you implement your system accounts, including credential
    0:08:44 management, version control, multi-factor authentication, which has to meet certain
    0:08:51 cryptographic standards. And it’s worth noting that in these control families, sometimes you,
    0:08:57 as a cloud service provider, are going to have the responsibility for the implementation,
    0:09:03 like something for authentication, but also sometimes the federal agency also has a responsibility
    0:09:08 in terms of how they implement their users and distribute out their user names and so forth.
    0:09:12 So that is also something that’s noted in the control family.
    0:09:16 So you don’t go through this authorization process and it’s a recipe. There’s like
    0:09:22 lots of decisions to make, lots of product design questions that are favorable to enterprise SASS
    0:09:26 and have to sort of allow room to adapt to the variations across the government.
    0:09:31 And most of the controls a company can implement them in their commercial
    0:09:35 environment as well. We want all of our commercial customers to benefit from the
    0:09:39 same level of security as our future federal customers.
    0:09:43 Because chances are, whether you try to sell to a big tech company or a non-tech company,
    0:09:49 that they’ve probably developed some list of things that look like these families,
    0:09:53 but might not be exactly the same and ultimately you’re going to end up in the same boat trying
    0:09:57 to get all these done. I mean, the federal government and federal agencies are not the
    0:10:01 only ones that use the NIST framework for security and privacy. Many companies do it.
    0:10:05 A lot of security questionnaires are going to be based around NIST. So
    0:10:08 it’s one of many acronyms. I think we’re going to go over it today, right?
    0:10:11 Yeah. So I’m just going to go through a few of them and like make sure people know because
    0:10:15 we’ll say them and then we’ll forget to expand them. And so NIST is one of my favorites because
    0:10:20 that goes so far back. That feels like 1950s NASA and they’re like in charge of
    0:10:24 weights and measures and stuff like that. But what do they do with this?
    0:10:28 NIST does a lot of cool stuff. But as it relates to what we’re talking about today,
    0:10:33 NIST, the National Institute of Standards and Technology is the agency that defines
    0:10:39 government-wide standards for technology and security. And the one specific NIST document
    0:10:44 that we’re talking about today is a special publication, 853, which deals with security
    0:10:50 and privacy controls for federal information systems. So FISMA? Yeah. So FISMA stands for
    0:10:55 Federal Information Security Management Act. And this is something that applies
    0:11:01 to federal government agencies and requires them to put in place a security framework
    0:11:04 to secure their information. So it doesn’t apply to the private sector.
    0:11:07 So next was obviously a big government agency called OMB?
    0:11:13 Yeah. OMB is sort of like the COO for the federal government. They oversee budgeting
    0:11:21 and spending. And then their sibling agency GSA is the General Services Administration
    0:11:25 and the FedRAMP office. So our friends in the FedRAMP PMO, which means Project Management
    0:11:31 Office, they sit under GSA. Awesome. And then finally, this whole thing is about
    0:11:36 the acronym they invented called CSPs. Yeah. CSP stands for Cloud Service Provider,
    0:11:42 and you’ll also hear CSO, which stands for Cloud Service Offering. So FedRAMP is all about cloud,
    0:11:46 which is why I think we’re here today talking about it for the SAS folks out there.
    0:11:50 Okay. So we have a bunch of acronyms out of the way. I got to tell you, as Lisa took me through
    0:11:56 the EverLaw certification, I have never seen so many acronyms exist in this process.
    0:12:03 So your typical Series B enterprise startup, is FedRAMP anything like what they’ve done before
    0:12:10 in terms of running the sales process or a security process? Is it like SOX2? Is it like GDPR?
    0:12:15 I think it depends on what a company has done up until the point they decide, “Hey, let’s do FedRAMP.”
    0:12:21 So if you’ve been through a SOX2 type 2, which is the audit that tests your operational effectiveness,
    0:12:26 then you’re probably in a better position than if you’d only done a SOX2 type 1,
    0:12:31 which is just, “Do I have a program in place?” So I would say it really depends on what the
    0:12:34 company has done up until then. And what are some of the dimensions to really think about?
    0:12:38 Like, is it the size of the company thing? Is it the number of people you have dedicated
    0:12:42 security? Is it like how much data you store? Like, what are some of the variables that people
    0:12:49 should be aware of that might impact their time and effort and need and complexity of going through
    0:12:55 authorization? Yeah, it’s a great question. The first thing is that if you have a motivated
    0:12:59 federal agency, that is going to be the biggest factor that either pushes you ahead or slows you
    0:13:04 down. So if you’re in a place where a federal agency has already expressed interest in your
    0:13:09 product or you’ve already been in conversations and they’re motivated to be your partner in the
    0:13:15 process and give you the confidence you need to make that financial commitment because it’s
    0:13:20 going to take internal resources, which has a cost. Like, one of the things that you mentioned was
    0:13:26 just how the lens of FedRAMP changed the Everlaw culture a little bit to be much more focused
    0:13:32 on sort of this continuous monitoring sort of mindset. How did that come about? From a continuous
    0:13:39 monitoring standpoint, we found that the FedRAMP controls helped us gel around things like configuration
    0:13:46 management, making sure there are security checks and security impact analyses. So putting in some
    0:13:51 of those processes, which on a continuous basis, now we’re doing every release, in addition to the
    0:13:55 things that are just straight up required by continuous monitoring like vuln scanning. I think
    0:14:01 there’s a perception of FedRAMP that it’s, you know, a lot of policy, it’s a lot of checking
    0:14:08 the box. And like any team that is staring down the face of a major security compliance and
    0:14:13 technical project, we were kind of thinking, oh no, there are going to be so many controls in
    0:14:19 here that are just check the box. And like any compliance framework, there certainly is some
    0:14:25 box checking involved. It’s a lot of governance, which is true. There are a lot of control families
    0:14:31 that deal with a company’s infrastructure like personnel security is the PS control, AT is
    0:14:35 the awareness training control. But we found that on the whole, a lot of the controls really
    0:14:40 pushed us forward. And a lot of things we were already doing, there were some things that we
    0:14:46 needed to improve. But the process has really made our entire infrastructure more secure.
    0:14:51 No one at Everla had FedRAMP experience before. I mean, we’d been through SOC2,
    0:14:57 and we’d been through, we were actually undertook it at the same time as GDPR, which looking back
    0:15:01 is a little bit crazy. We didn’t really get a choice in GDPR though, so. That’s true.
    0:15:05 So if you’re a startup where the team has varying levels of experience and actually
    0:15:09 haven’t gone through all of these things collectively, it sounds like what you’re
    0:15:13 saying is just by virtue of having gone through the process, the whole organization
    0:15:18 sort of gets up leveled and consistent based on just using this as a framework.
    0:15:22 You mentioned that it is also deeply technical. Like this is not just a list of, you know,
    0:15:26 do you have a security policy manual? Do you have cipher locks on your door?
    0:15:31 There’s stuff about the code and the product. What are some of the things that are technical
    0:15:36 that you had to sort of bring in engineering or product or DevOps and security ops to really
    0:15:41 think about? Yeah, and I’ve already mentioned a few of the other more governance-related
    0:15:46 controls before. There’s also IR, which is incident response, but some are very technical and just
    0:15:52 anecdotally in the system where Everla tracks sort of our features and what the things our
    0:15:56 engineers are working on, there were over a hundred tickets in there. I don’t know if
    0:16:01 ticket’s the right word, but basically, you know, feature ideas, functionality that we
    0:16:06 were going to implement that all required dev resources. And they ranged from simple things
    0:16:10 like adding a banner into the platform that says, you know, you’re entering a federal
    0:16:14 environment in our federal environment to very complicated things.
    0:16:18 I think one of the things that is kind of interesting too is that this is not like a
    0:16:23 secret part of the government. Like all the CIOs across all the agencies sort of know this is
    0:16:28 going on. And so it sounds like it’s become their common vocabulary and security is for the
    0:16:32 government the first order priority before functionality. So their sales team is just
    0:16:37 going to need to know all of these words just to interact with the customer.
    0:16:42 Yeah, I presented our sales kickoff this year presentation on selling security to help them
    0:16:48 understand what does it mean to be FedRAMP in process to make sure that they’re not misrepresenting
    0:16:52 what our status is to the market, but also so that they can talk about it confidently and
    0:16:55 understand how it’s different from our SOC2 and so forth.
    0:17:01 So clearly there’s a series of steps that have to happen. Like what are these steps?
    0:17:07 So that flowchart is actually in the cloud service provider playbook, which will provide a link to.
    0:17:12 And the first step is going to be establishing a partnership with a federal agency. I mean,
    0:17:16 like we were talking about before, it’s just really critical that you have that agency support.
    0:17:21 And then once you have that agency support, then you’re probably going to feel confident enough to
    0:17:26 start using your internal resources. So that’s going to be putting together the package. And when
    0:17:31 I say the package, it means system security package or SSP, which is another acronym.
    0:17:36 So working on that documentation and then also working on any technical remediation you might
    0:17:41 have to do. And so then eventually, like someone who doesn’t work for the agency or
    0:17:44 forever law is going to show up and sort of test you.
    0:17:50 That’s right. The step before that authorization is a full security assessment by an independent
    0:17:57 auditing firm. And in FedRAMP lingo, it’s called a 3POW. It’s a third party assessing organization.
    0:18:02 And there’s a small set of companies that can do this because they have to meet FedRAMP standards.
    0:18:07 And so you have to bring them in just like any other independent auditor and they review all of…
    0:18:08 And this is like on site?
    0:18:14 Yeah. Yeah, they came on site for a week, but they review all of your implementations. I mean,
    0:18:18 your screenshotting, your work in the command line in front of them to show them how you’ve
    0:18:20 implemented specific things.
    0:18:23 And do they like snoop around and everybody’s like, who are these people in suits?
    0:18:27 And like, do they have special badges? Like, how does this really work?
    0:18:33 I mean, they’re very technical. And they’re there to make sure that what you’ve represented
    0:18:36 in your security documentation is the actual thing you’ve implemented.
    0:18:41 I mean, the federal agency is trusting them to help them form their risk-based decisions.
    0:18:43 So they’re serious about it, but they’re great. They’re nice.
    0:18:50 And they’re basically consultants that come in on behalf of the OMB basically execute on this plan.
    0:18:54 I mean, they are working for the agency, not for you. You can engage an advisor.
    0:18:55 What does that entail?
    0:19:00 So there are other companies that can serve as the independent assessor or they can serve
    0:19:06 as a consulting advisor. The key thing though is that if you engage a FedRAMP consulting advisor
    0:19:10 to help you put together your documentation, you can’t use them as then the independent assessor.
    0:19:11 So you’ve got to swap.
    0:19:17 Basically, there are these specialists in doing security audits and there are a list of them
    0:19:23 that OMB supports and you can use them either to help you or to audit you.
    0:19:23 Yeah.
    0:19:26 And you just pick and you might end up engaging too.
    0:19:27 But they’re basically it’s a consulting engagement.
    0:19:30 That’s right. And you might be thinking, why would I want to engage a consultant?
    0:19:32 To help you with a consultant.
    0:19:38 Yeah, exactly. But the fact is, even with all of the program documentation that we had at Everlaw,
    0:19:42 you know, the whole suite of infosec policies, we had great procedures around personnel security
    0:19:47 and training. But we still needed to engage a consulting advisor to help us put together
    0:19:52 the system security package. It’s of course a template that you can pull down from FedRAMP.gov.
    0:19:58 And since we’re an AWS customer and we inherit a lot of the cloud infrastructure controls from AWS,
    0:20:01 AWS will also provide you with that as well.
    0:20:08 But some things are just hard to navigate without the experience of knowing what the
    0:20:14 agency will accept. So a couple of examples are the consulting advisor can help you translate
    0:20:17 what the agency is actually looking for when it comes to an implementation.
    0:20:21 So if you have to do a deviation from a CIS benchmark.
    0:20:25 Ultimately, this process boils down to creating a lot of documentation.
    0:20:27 Like they don’t just have a phone call and take your word for it.
    0:20:32 So a lot of it sounds, I mean, like you said, like, oh, you inherit some of it from AWS.
    0:20:36 So it sounds like sort of this large amount of paper that has a bunch of forms that are all
    0:20:42 filled in already. Well, our full SSP without the attachments with the implementations described
    0:20:47 is around 500 pages. But the template itself, even without those is probably, I don’t know,
    0:20:52 it’s probably 30 pages or 40 pages just without all our info in it. It’s a big lift to do that.
    0:20:58 So we found that a consulting advisor could we could spend some time talking with them chatting
    0:21:02 with them on the phone explaining things. And then they would go write it up for us.
    0:21:06 And then we would QA it. So instead of us having to do that big lift,
    0:21:10 they did that for us. And then it was much more efficient that way.
    0:21:13 So, you know, obviously, there’s a bunch of sections and chapters and different parts,
    0:21:17 which part of it was the part that really was like a ton of work where like,
    0:21:22 the engineers needed to engage and you needed really detailed technical answers.
    0:21:24 Like, what was the scope of that and where in the process?
    0:21:28 So we went back and forth with our consulting advisor. So we would
    0:21:34 describe our technical implementations and then they would take the first crack at writing them
    0:21:38 up. And then our director of infrastructure had to edit things out because every once in a while,
    0:21:45 but also describing our entire system architecture and doing the architecture diagrams. Those are
    0:21:48 all things that, you know, our engineering team definitely had a hand in.
    0:21:51 Right. And it turns out it’s one of those things that like, well, we didn’t really
    0:21:56 have a good architecture diagram of our system. And so now we have one. And now we keep it up to
    0:22:00 date because we have to because of con mon and all that, but sort of ended up being beneficial.
    0:22:07 Anyway, okay. So you’ve got like this 500 page SSP thing sort of all bound up and ready to go.
    0:22:12 How do you know you’re getting to the finishing line? And what does that start to look like?
    0:22:17 So once we had all of the documentation wrapped up and, you know, you can’t get too hung up on,
    0:22:21 you know, the final product, because the whole thing is meant to be a living document,
    0:22:25 because, you know, when we finished documenting it, then we knew we were going to implement
    0:22:28 something else. So it’s sort of, you know, you’re going to have to keep updating it.
    0:22:33 But the finish line comes when you’re ready to actually hand that package over to the independent
    0:22:37 auditor and to say, all right, you know, here is all our stuff. We’re putting it out there for
    0:22:43 you to review and schedule that onsite audit. And so then the auditors show up, they read a lot,
    0:22:49 they watch you doing the work. And then what happens? Then they put together what’s called
    0:22:56 a SAR, which means security assessment report. The SAR is the auditor’s report on your overarching
    0:23:02 compliance with the baseline. And if they have findings, they’ll rank them as, you know, high,
    0:23:11 medium or low. Like concern? Yeah, exactly. Because what their job is, is to describe to the agency
    0:23:16 what the risks are to using the system. So if they find things during the audit that they deem as a
    0:23:21 high risk, and, you know, it’s all scoped out what those risk categories are, but they’ll deliver
    0:23:27 that to the agency. And again, to your point about risk, it’s not like a pass fail, because then the
    0:23:34 agency who’s the customer looks and says, ooh, you have two highs, that might be too, too many. Or
    0:23:37 are you planning on fixing this? If you’re planning on it, there’s like a whole give or take.
    0:23:42 After you do 18 months worth of work or nine months worth of work, you don’t fail and have to go back.
    0:23:48 And the customer is in control of evaluating the risk of like still buying you or not.
    0:23:54 Yeah. And those findings would go on to what’s called a POAM or plan of action and milestones.
    0:24:00 So once you have those findings, then you would describe what you’re going to do to fix it. What’s
    0:24:04 your timeline? What are your milestones and so forth. And one of the benefits of having that
    0:24:07 consulting advisor looking at your package and helping you do that is they’ll tell you what a
    0:24:12 showstopper is. They’ll say, hey, that implementation is not going to cut it. Don’t do that. Let us help
    0:24:17 you. So sometimes people think about compliance. They think about it as sort of like getting your
    0:24:21 driver’s license. Like you get annoyed, you go through a process, you take a test and then poof
    0:24:26 you have a driver’s license basically for the rest of your life. But FedRAMP isn’t really like
    0:24:30 that. There’s a lot about monitoring and keeping things. And so what did you learn going through
    0:24:34 the process that was different than other types of certification or authorization?
    0:24:39 I mean, the one thing I’ve learned is that FedRAMP is not over. And I have to laugh.
    0:24:43 Okay. That’s like an uplifting motion. Like, yeah, please list our podcast for the thing that’s
    0:24:48 never going to end. Well, it’s just funny because we’ve been working on this and every time we hit
    0:24:52 a big milestone, we like to celebrate it with the wider team and everybody’s like, yay. And then
    0:24:58 they’re like, oh, you’re done with FedRAMP now, right? And we’re like, no. So continuous monitoring
    0:25:04 is one thing we already mentioned where even once you obtain your authority to operate or your ATO
    0:25:08 and you have that authorization, you’re still going to be working with the agency on a regular
    0:25:13 basis. So you have your ATO and you’ve got a bunch of Kanman going on just to use all the
    0:25:18 acronyms in one sentence. Yeah. And we’ll link to the Kanman guide, which talks about what that
    0:25:24 looks like. But in a nutshell, you’re doing monthly scanning, your ranking vulnerabilities,
    0:25:28 you’re responding to those on a specified time basis, et cetera.
    0:25:34 So let’s say that the company is ready to dive in. They have a product that they’ve been selling to
    0:25:40 commercial customers. The first cohorts believe it meets their needs for security and privacy and
    0:25:44 things like that. The product is selling, but now if agency is interested, for whatever reason,
    0:25:50 that inbound or you spoke at a conference or something. So first, how long do the salespeople
    0:25:57 have to wait until the deal is closed now? Well, be nice. Yeah. I mean, again, it depends on how
    0:26:02 motivated the agency is. That’s a super important point. It’s not just how motivated you are as
    0:26:06 the company. Like if the agency really wants you, they can pull you through in a lot of ways.
    0:26:12 Yeah. Because again, it’s all about risk and the agency is the decider of what kind of risk
    0:26:18 they’re going to tolerate. And so if an agency is really motivated, then they can help push you
    0:26:25 along to becoming in process. And in process is a designation that requires explicit agency support.
    0:26:30 But if you’re at that stage where you’ve got that interest, you have to choose, okay, am I going to
    0:26:34 go, there are two ways to get authorized. There’s the agency route and then there’s something called
    0:26:39 the JAB, which is the Joint Authorization Board, which is a little bit harder to do because you
    0:26:44 have to do a business case. So I think for our purposes, it makes more sense to address the agency
    0:26:49 route, which is probably the situation you’re talking about, where somebody expresses interest.
    0:26:53 Right. So that’s probably a good lesson for folks, which is that the best bet for going
    0:26:58 through this is in a sense to first line up a potential customer rather than just sort of say,
    0:27:01 oh, well, let’s preemptively go and do FedRAM because it actually makes more work for yourself
    0:27:05 if you don’t have the first customer lined up. Yeah, that’s right. And they do have that JAB
    0:27:11 process, which is for companies that might have a broad application, but it’s a much different
    0:27:17 process. Okay. So there’s a bunch of actual bureaucracy stuff about getting on the GSA list
    0:27:24 and filling out those forms. But then is it a year, two years, five years? How long is this exactly?
    0:27:28 Yeah, let’s not keep the sales team hanging too long. So if you’re counting from the time you
    0:27:33 have your package already, it could be as little as a few months, maybe even six weeks we’ve heard
    0:27:39 for the agency to review that package and grant you the authorization. I think if you’re counting
    0:27:44 from the day, the team says, hey, let’s do FedRAMP and you still have to put the package together,
    0:27:50 you’re probably looking at at least nine months or a year possibly. So it’s actually not wildly
    0:27:54 out of bounds with what a procurement team might do or like any of the large tech companies that
    0:27:59 just do what they call a security audit or something might easily take that same length of time.
    0:28:04 It comes down to how many resources the company has to bring to bear on the project because,
    0:28:08 you know, we took a little bit longer, but that’s because we didn’t stop people
    0:28:13 from doing their full-time jobs only to work on FedRAMP. We didn’t stop feature development for
    0:28:18 the product. So you decided you’re like flipping the switch and you’re going to go for it. Did
    0:28:23 you have a team of 10? Like how many people have to do all of this checkboxing and process
    0:28:30 documentation and conmon stuff? So when we started, it was just myself on the security team.
    0:28:36 We had our engineers that were involved in sort of scoping and looking at how much work we thought
    0:28:41 it would be. And then over time, we brought on a DevOps person. We hired a couple of people onto
    0:28:47 my team. But again, none of us have been doing it full-time. So it’s been probably a core group
    0:28:53 of five people working on various elements of it. And then when we were doing the push to
    0:28:57 complete a lot of the technical and engineering work, we brought in other engineers.
    0:29:01 And this is an interesting point because of the way you chose to do it. But you overlaid
    0:29:07 like SOC2 and GDPR and other privacy work sort of all at the same time, which sounds overwhelming,
    0:29:11 but it’s also closely related. Was it more efficient to do it that way?
    0:29:17 Doing a lot of these broader things like GDPR and FedRAMP, you know, there is overlap. So
    0:29:23 it certainly helps. I don’t know that I would wish that all those things on anyone, but certainly
    0:29:28 you’re doing a lot of the same things. And, you know, for folks that do SOC2, you probably know
    0:29:34 the COSO standards were added, I think last year. Okay. So one last thing, which is you go through
    0:29:40 all of this, you’re given the label like in-process, authorized, like what is the specifics of that?
    0:29:44 Because that’s something that salespeople often do get confused because of the FedRAMP lingo,
    0:29:50 so to speak. The lingo can be slightly confusing. So in order to be listed in the FedRAMP marketplace
    0:29:54 on the website, a marketplace, which is literally like these are the cloud things you can go buy
    0:30:01 as a federal agency. Yeah, exactly. So there’s FedRAMP ready and FedRAMP in-process. And I think
    0:30:07 people swap those around a lot. So FedRAMP ready means that you’ve gone through sort of a high
    0:30:14 level of valuation. And if you get that ready stamp, it means that they think that you’re capable to
    0:30:19 meet the FedRAMP requirements. And it’s just intended to help agencies look out there and say,
    0:30:24 oh, well, you know, there’s an independent assessment that these folks are ready and can
    0:30:31 probably do it. Whereas in-process is a designation where you have to have the authorizing official
    0:30:36 add an agency, tell the FedRAMP office that we are working with this cloud service provider on
    0:30:41 an authorization. You’re not authorized yet, but you’re affirmatively working on that authorization.
    0:30:45 And don’t play fast and loose with those terms with your salespeople. Like,
    0:30:50 don’t make up what they mean and don’t say what you aren’t. Because they like branding guidelines
    0:30:54 and stuff. Yeah, the FedRAMP office has branding guidelines. And, you know, for a good reason,
    0:30:59 they don’t want companies out there saying that, you know, they have a FedRAMP authorization if
    0:31:04 they don’t. They’ve worked hard on creating this process and creating this framework. And
    0:31:09 they don’t want companies misrepresenting. And so ultimately with security things, the reason,
    0:31:13 you know, nobody wants anything to happen, like a breach or anything like that. But
    0:31:17 if you’re operating in this environment where you’ve committed to a customer, in this case,
    0:31:24 a federal agency that you do all this stuff, and then something happens, does FedRAMP have say in,
    0:31:28 like, are they part of like adjudicating the failure? Or do they have remediation duties?
    0:31:32 Like, or is they’re not involved in that? Like, where does the government come in
    0:31:38 in terms of a security issue? Well, fortunately, I don’t have direct experience with that. But
    0:31:45 the Kanban guide on continuous monitoring does cover various types of escalations like incidents.
    0:31:51 And so I think if a company had an authorization and they had some kind of security incident or
    0:31:57 breach occur, it would go through that escalation process in the Kanban. And certainly they contemplate
    0:32:03 revocation of your authorization. But I imagine it would be a conversation with the folks at the
    0:32:07 agency, you know, talking about your plan for remediation. Did you catch it? Did you limit the
    0:32:12 damage? So I don’t have sort of a black and white answer on what would happen there, but
    0:32:16 I know that they’ve put a framework in place to address those kinds of things.
    0:32:20 All right. So in your role in Everlaw, you’ve gone through quite a few certifications. Like,
    0:32:26 you’ve gone through GPR, you’ve gone through SOC2, you’re working on FedRAMP. Like, where does this
    0:32:31 fall in the spectrum of effort and time and complexity compared to you’ve done some health
    0:32:36 care, even though HIPAA is not a certification? Yeah, we’ve done the privacy SOC2, but we’ve
    0:32:41 also done an independent sort of HIPAA compliance assessment as well. And FedRAMP has definitely
    0:32:47 been the most work because it involves, you know, from an architectural standpoint, you know,
    0:32:53 we’re creating a federal environment and there’s a lot of work that we’ve done to improve on the
    0:32:59 back end. But I’m trying to think because GDPR is also a ton of work. It’s actually a good time
    0:33:02 to mention too. One of the things that I found particularly interesting as I dove into this
    0:33:10 with you is that at every step, the OMB has really worked to make this like attractive and easy.
    0:33:15 That sounds weird, but their goal is not to stop you from getting authorized. It’s actually to
    0:33:21 find ways to get you authorized. And for what it’s worth, the FedRAMP.gov website is one of the best
    0:33:26 federal websites out there. They have a person who’s the customer success manager. So they really
    0:33:32 are trying to make it easier for cloud companies to go through this process to understand. And,
    0:33:37 you know, EverLaw, we met with those folks and they helped us. They helped guide us. And so
    0:33:41 we found that to be really helpful. Yeah. So unlike what you’d normally think of in terms of
    0:33:45 regulation or certification, they don’t come across as like, we’re here to prevent you from
    0:33:50 getting this. No, not at all. It’s not even like the DMV in that regard. They actually just want
    0:33:55 to help you. Yeah. I mean, their mandate is to help carry out the cloud first or, you know,
    0:34:00 the policy that the government has to push IT modernization and cloud adoption in the federal
    0:34:05 government. Well, this was super fun. So thanks so much. This has been Stephen Sinoski and
    0:34:07 Lisa Hawk. Thank you. Thank you very much.

    with @ldhawke and @stevesi

    The government wants to get onto the cloud! But how do they assess the levels of risk in adopting specific cloud products, and which ”cloud service providers” (aka ”CSPs”) to work with? That’s where FedRAMP — the Federal Risk and Authorization Management Program — comes in. And enterprise SaaS companies need to pay attention, since it will be a requirement for selling to the U.S. government, which is one of the biggest buyers of tech. Not just that, but even state governments and private/public companies may seek FedRAMP certification because they either work with the federal government or are just seeking standards.

    How similar or different is FedRAMP to other types of certification, authorization, and compliance (such as ISO, SOC-2, GDPR, even HIPAA); and what does it mean for a startup to go through organizationally, culturally? Is it like a check-the-box policy thing, is it like getting a driver’s license… or what? One thing’s for sure: It’s an opportunity for enterprise SaaS startups, and the government is trying to help companies through the process.

    What are the steps to certification? What are some acronyms and terms to be aware of? When and how should you bring a consultant, advisor, or third-party auditor into the process? How long does it take, really? And how does it affect your sales team? Most importantly, what is the best strategy for moving forward? (Hint: start with a customer). Lisa Hawke, VP of Security and Compliance at Everlaw, an a16z company, shares her expertise and their experience in navigating all this, as well as the resources below, in this episode of the a16z Podcast hosted by board partner Steven Sinofsky. (The two were also previously on another episode sharing everything startups need to know about GDPR.)

    For links mentioned in this episode and other resources, see: https://a16z.com/2019/08/28/fedramp-why-what-how-for-startups/

  • 16 Minutes on the News #7: Apple Card, BEC Scams Federal Indictment

    AI transcript
    0:00:05 Hi everyone, welcome to the A6NZ podcast. I’m Sonal and this is our seventh episode of 16 Minutes,
    0:00:10 our news show, which in addition to our regular podcast show in this feed, is where we cover
    0:00:15 recent headlines of the week, the A6NZ way, why they’re in the news, why they matter from our
    0:00:19 vantage point in tech, and share our experts’ views on the trends involved. You can catch up
    0:00:26 on past episodes at a6nz.com/16minutes or subscribe to the 16-minute show directly wherever you get
    0:00:30 your audio. And to be clear, none of the following should be taken as investment advice. Please be
    0:00:37 sure to see a6nz.com/disclosures for more important information. This week, we cover two topics.
    0:00:41 We briefly discussed the latest news from the front lines of cyber fraud, where the FBI made a huge
    0:00:47 number of arrests for BEC scams in what was described as one of the largest cases of its kind in U.S.
    0:00:53 history. But first, we go deep on the new Apple credit card, what it means beyond the headlines.
    0:00:58 Okay, so the first news item we’re covering this week is that Apple released a credit card,
    0:01:03 and it was actually announced a while ago, but only became available this week to U.S. iPhone
    0:01:07 users. And let me quickly summarize the news, and then I’ll introduce our A6NZ expert. They’re
    0:01:11 partnering at Goldman Sachs as the issuing bank and mastercard for the Global Payments Network.
    0:01:16 The card, which is of course coded white, is made of titanium, but that’s still heavier than other
    0:01:20 plastic cards in the market. And by the way, a funny little anecdote here is that Verge reported
    0:01:25 via MAC rumors that Apple is advising against keeping the card in a leather wallet or in direct
    0:01:30 contact with Denim as such fabrics, and I quote, “might cause permanent discoloration that will
    0:01:36 not wash off.” That part’s pretty LOL. That said, it is news that Apple, a tech company, is moving
    0:01:40 into financial services. And this matters in the bigger picture of credit, which drives personal
    0:01:45 finance and our economy overall in so many ways for better or worse. So let me quickly also summarize
    0:01:48 some of the salient details here. There are no typical credit card fees, such as sign-up fees,
    0:01:53 late fees, international fees, annual fees, overdraft fees, et cetera. And there are other
    0:01:58 features such as greater transparency into interest paid and so on. So that’s a quick context. And
    0:02:03 now let me welcome our A6NZ expert to put that news in context. Our newest general partner for
    0:02:07 Fintech, Anisha Charya, who is most recently VP of product at Credit Karma. Welcome, Anish.
    0:02:10 Thank you. Excited to be here. Excited to have you on here.
    0:02:14 Long time listener, first time guest. I’m excited. So the real question here,
    0:02:20 why does this news matter and why the hell should we care? I’m not supposed to cuss anymore.
    0:02:28 You can with me. So the least interesting way to think about this is Apple released a new credit
    0:02:32 card because, you know, a credit card is a credit card. There are more interesting credit cards with
    0:02:37 better rewards or credit cards that have fancier designs. And a lot of the discussion has been
    0:02:41 about that and it’s just sort of a distraction in my view. So what do you think the real significance
    0:02:45 here is? Well, I think there’s two things to talk about. First of all, you know, whenever Apple enters
    0:02:49 a category, it’s worth looking carefully at what they’re doing because they’ve reinvented
    0:02:55 existing categories over and over again. If you take a look at the actual features of the card,
    0:03:00 they’ve taken a bunch of things that credit card companies do sort of behind the scenes to the
    0:03:06 detriment of consumers like charge fees for being late, charge fees for overdrafts, charge fees whenever
    0:03:11 you swipe the card internationally as well as giving you a terrible FX rate. So these are
    0:03:16 all lines of business that credit card companies have historically monetized and
    0:03:20 it’s mostly been invisible to consumers and really has done them a bit of harm.
    0:03:25 So Apple has actually changed all of that. The second thing they’re doing is showing you how
    0:03:29 much interest you’re actually paying. So if you actually just pay the minimum amount that your
    0:03:32 card company asks you to pay every month, it is going to take you years and years and potentially
    0:03:37 even decades to pay that card off. And that trade off has never been clear to consumers.
    0:03:41 Consumer credit card debt is over a trillion dollars right now. We’re starting to approach
    0:03:46 historical highs. There’s never been a better time for us to be thinking and talking about
    0:03:51 credit card debt. And the first step is a product that’s really transparent. So that’s sort of level
    0:03:56 one of what’s interesting. I have a quick question. The transparency feature, that seems like something
    0:04:01 that’s very easy for other credit card companies to do. Yes. So A, why haven’t they done that yet?
    0:04:05 And B, can’t they just quickly copy this now? Yeah. So it’s really interesting. There’s this sort of
    0:04:11 innovators dilemma and it looks a lot like SMS did 10 years ago. That’s right. If you look at what
    0:04:16 happened with carriers, they knew that SMS was going away, but there was some powerful executive
    0:04:21 whose name was attached to the SMS revenue line and they would not let it go away. And as a result,
    0:04:25 carriers missed messaging. Right. So basically the innovators dilemma in the classic context of
    0:04:29 disruption theory where an entrenched business does not want to disrupt its core business when
    0:04:33 there is a new business on the horizon because even if they know it’s coming, they are actually
    0:04:36 making money off their core business. You’re essentially cannibalizing yourself in order to
    0:04:40 go into the new area. Exactly. Powerful internal stakeholders don’t want to see it happen. So
    0:04:44 it doesn’t. And by the time they realize that Apple’s got a significant edge by offering this
    0:04:48 transparency, it may be too late. Okay. So now let’s go back to the next level. Yeah. So least
    0:04:53 interesting is that it’s a new credit card. But I think the most interesting thing here is that
    0:04:57 Apple is actually unbundling the credit card. Tell me what that means because I feel like
    0:05:00 people in tech talk a lot about cycles of bundling and unbundling, whether it comes to things like
    0:05:04 cable and TV or media, software packages. I mean, the phrase comes up in lots of different
    0:05:09 contexts. What does bundling and unbundling specifically mean in this context? So there’s
    0:05:13 a few aspects of the credit card. There’s a physical piece of plastic that I have in my wallet.
    0:05:19 There is a payment network that processes the payment when I swipe that piece of plastic.
    0:05:25 And then there is a debt provider beneath it that typically provides me with this unsecured debt
    0:05:30 that I’ve made a commitment to pay back. So what this means in terms of unbundling is that Apple
    0:05:36 actually owns the customer relationship. They’ve partnered with Mastercard to handle the payments
    0:05:40 and then they’ve partnered with Goldman to handle all of the debt. If tomorrow they decide, “Hey,
    0:05:44 Goldman, we’re going to replace you with Capital One,” or more importantly,
    0:05:48 Goldman and Capital One, we’re going to allow you to compete to see who can give the customer
    0:05:52 the lowest price debt. All of a sudden, those companies have very little leverage to say no.
    0:05:56 It’s like they’re almost white labeled, essentially. Exactly. We did a wonderful podcast
    0:06:00 a couple of years ago on B2B2C business models where we actually go in a lot of depth around
    0:06:06 the challenge of that kind of thing. So on that note, why then are Goldman and Mastercard
    0:06:10 incented to work with Apple on this? And has Goldman actually ever had a consumer-facing
    0:06:15 line of business like this ever? Well, I think there’s a short-term, long-term trade-off happening
    0:06:20 here. The street has really wanted to see Goldman grow their business. Goldman typically has not
    0:06:24 been a big consumer lender. They dip their toe in it with the launch of personal loans via Marcus
    0:06:30 over the last two years. So great brand Apple, huge footprint. It’s a great way to drive growth
    0:06:35 in the short term, but it may be a peric victory. Okay. Let’s talk about the connection between
    0:06:40 Apple’s new credit card and Apple Wallet. So there’s been a lot of hype, quite frankly,
    0:06:44 over the years around digital wallets, and there’s been many forms. Can you help orient
    0:06:49 where this fits in that sort of arc of where we are in the wallet space, digital wallet space?
    0:06:55 Yeah. My partner, Alex, has done a ton of thinking and published some important work on
    0:06:59 the wallet. So it’s worth referencing that. One of the things that’s happening here is Apple is
    0:07:06 offering 3% cashback for purchases from Apple and 2% when you use Apple Pay. 1% if you use a
    0:07:12 physical card. So you effectively double from 1% to 2% if you’re using their payment mechanism.
    0:07:17 And the word is that the fee that Apple charges merchants is on the high side, the interchange
    0:07:22 fee. If they can then start to take a portion of those fees at scale for whenever people are
    0:07:27 spending money, it becomes a very large business. If Apple becomes your default payment instrument,
    0:07:34 if Apple effectively white labels the way that you get debt, if Apple owns all aspects of the
    0:07:39 consumer product experience around financial services, they’ve talked about pivoting to being a
    0:07:44 services company, there’s no bigger segment of the industry that’s more backwards and has more
    0:07:48 opportunity for product innovation than money. So what do you make of the fact that they have no
    0:07:53 points? And how does a role of kind of loyalty programs play into all this? The thing is the
    0:07:57 cashback is actually the simplest form of points. It’s largely the same thing. Some of the most
    0:08:01 popular cards out there are cashback cards because you don’t have to navigate some crazy
    0:08:07 matrix of blackout dates and conversion rates. So it’s very Apple of them to actually go after
    0:08:12 the thing that’s most clearly understood by consumers, which is cashback. If you take a look
    0:08:17 at what’s happening with credit card companies, they effectively have to acquire customers by
    0:08:21 using messages that they can put on billboards. So what are things that you can put on billboards?
    0:08:27 You can put eye popping rewards rates, cashback rates, some of them do it using a big brand
    0:08:33 presence like American Express. So this has really been a way to drive customer acquisition
    0:08:39 for credit card companies. But the question is, are customers actually receiving value from it?
    0:08:43 How many are using their rewards and how many are overpaying for the rewards because they’ve got
    0:08:48 a really expensive line of credit card debt that they actually revolve on month after month
    0:08:53 after month. So I think the reorientation opportunity here is to things that are actually
    0:08:56 in consumers financial benefit versus things that look good on a billboard.
    0:09:00 Then let’s go into the tech because the elephant in the room or maybe the opportunity in the room
    0:09:05 that we haven’t really talked about here is that this is really one of the first, maybe not the
    0:09:10 first times a significant tech company is really moving into financial services. So let’s talk
    0:09:13 about what that means on the technology side. And just to quickly summarize some of those tech
    0:09:18 aspects. First of all, Apple Card uses machine learning and they also have geo location with
    0:09:22 Apple Maps to clearly label where and when people made a purchase. You also already mentioned
    0:09:28 transparency and interest paid. And while apparently 74 of the top 100 US merchants already accept
    0:09:34 Apple Pay, including Target, Taco Bell, and Hi-V supermarkets in the Midwest, the budgeting
    0:09:38 feature is actually not integrated with other credit cards in an Apple Pay account,
    0:09:41 which is something that David Pierce pointed out in the Wall Street Journal. But the point is that
    0:09:46 Apple is giving users weekly and monthly spending reports that help turn wallet into a budgeting
    0:09:51 app that can help them keep track of purchases. So I think one of the most interesting opportunities
    0:09:55 on the tech side is today a lot of product features are built in a functional way.
    0:10:00 And if you take a look at our relationship with money, it’s actually much more emotionally
    0:10:04 oriented than functionally oriented. That’s such a good point. Yeah. And ironically,
    0:10:08 all of the financial services products that have existed in the past. Now the technology
    0:10:11 companies are sort of making the same mistake are highly functional. Here’s your budget,
    0:10:15 here’s what you spent money on, here’s what the end of the month looks like.
    0:10:20 So I think actually the real product inflection point here is to start to lean into that emotion,
    0:10:25 to acknowledge that emotion, and start to help people make financial decisions they feel good
    0:10:31 about versus makes sense in some abstract, classically rational sense. And when it comes
    0:10:35 to the product features, guess what? Most people don’t like to budget because most people don’t
    0:10:40 like to diet. It’s the same concept. Nobody actually wants to be reminded every week that,
    0:10:43 “Hey, you went out for Mexican last night and you blew your calorie limit out of the water.”
    0:10:48 Totally. So the magic product feature here is not a budget. The magic product feature here is
    0:10:54 actually helping to automate all of the small financial decisions to help you achieve a better
    0:10:59 outcome. Angela has spoken about this, Alex has spoken about this. A lot of great founders
    0:11:03 have talked about the concept of self-driving money. Tell me more, that’s fascinating.
    0:11:09 Self-driving money means not having to actually make all of the decisions to optimize your financial
    0:11:14 life. So if you look at how much we’re overpaying on our mortgages, our credit cards, our personal
    0:11:18 loans, there are better products that we could get today that we just don’t have because we either
    0:11:24 don’t know about them or it’s too high friction to apply for them. So I think that the orthodox
    0:11:28 see is that we need to tell people to stop drinking Starbucks every day to save money.
    0:11:34 That’s actually not true. If we can just use technology to efficiently price all the financial
    0:11:37 products they have, we put a lot more money back in Americans’ pockets.
    0:11:41 So speaking of putting money back into America’s pockets, what do you make of the headlines from
    0:11:46 analysts at Nomura that Goldman could lose money here if losses come? Because basically the analyst
    0:11:52 is assuming that Goldman has to spend about $350 to acquire each new user, which means it would
    0:11:56 only break even after four years. But what happens if a recession comes before that,
    0:11:59 then they would lose revenue, especially because the margin is already tight to begin with.
    0:12:03 So how do I tie that back into the Apple news? Because Goldman Sachs is approving the subprime
    0:12:08 borrowers. Yeah, I think the story here is that traditionally credit cards have a whole approval
    0:12:14 process that is very onerous. Not everyone gets approved. Apple has clearly been pushing their
    0:12:20 partner to approve a larger set of people. In the future, there will be no credit card application
    0:12:25 as retrograde that we even need that. And everyone should have access to some form of payment and
    0:12:30 unsecured debt, even if it’s a low credit limit. There’s many orthodoxies which are not true when
    0:12:35 it comes to money. One of the orthodoxies that’s not true is we have this belief that there are
    0:12:39 people who are credit worthy, who have great credit scores, who are good people. And there are people
    0:12:44 who never pay their bills and have bad credit scores. And when there is a recession, things are
    0:12:50 going to go haywire, it’s overblown. The truth is for people who have a lot of fluctuation in
    0:12:55 their means or limited means, they’re always living in a recession. So the variability that you see
    0:13:00 while it exists, it’s not as high as the perception is. And often people who have these great credit
    0:13:06 scores are on the edge of being wealthy, end up being ones who get in trouble. So I think that
    0:13:13 there’s a broader discussion about “subprime credit card” sort of customers and how do you
    0:13:18 think about them? And I think that we take an overly negative view. We should actually be thinking
    0:13:23 about them in a more holistic sense. All right. So Anish, bottom line it for me. How should we
    0:13:28 think about this news and its broader significance in the financial services ecosystem? Bottom line,
    0:13:32 it’s not just another piece of plastic in your wallet. It has the opportunity to fundamentally
    0:13:36 change the way that we think about our money. This product has the opportunity to change
    0:13:40 Americans’ relationship with their credit cards, with their debt, and potentially with their money
    0:13:44 more holistically. Fantastic. Well, thank you for joining the 16 Minutes. You’re welcome.
    0:13:49 Okay. So for the next segment of 16 Minutes, we are going to be talking about the news this week
    0:13:56 about a type of fraud, BEC scams, where the FBI recently made a huge number of arrests. And 14
    0:14:02 arrests were made in a 252 count federal grand jury indictment that was unsealed just this past
    0:14:08 Thursday. And it named 80 defendants charged with defrauding victims of up to $10 million in what
    0:14:14 was described as one of the largest cases of its kind in U.S. history. The type of fraud is BEC,
    0:14:18 which stands for business email compromise. And just to quickly summarize a bit more of the stats
    0:14:25 and context of why this matters here, just in the period from 2013 to 2018 and five year period,
    0:14:31 $12 billion of losses were due to this kind of fraud. And this kind of fraud is growing at a rate
    0:14:37 of 123% year over year, which is basically more than doubling every year. And it costs about
    0:14:43 $300 million per month. So it’s very costly and dangerous in that context and a big effing deal.
    0:14:48 So I’m now going to introduce Joel de la Garza, who’s actually becoming a bit of a regular unfortunately
    0:14:53 on 16 Minutes to talk about all the security news and whatnot. Joel, let’s talk about this
    0:14:58 news and what it is and why it matters. Yeah, absolutely. So this is actually one of the
    0:15:03 simplest and just kind of most ridiculously easy forms of fraud. Business email compromise
    0:15:10 is basically a form of fraud where I create an email address that seems somewhat similar
    0:15:15 to someone you may know and be working with in your company. So I could create a fake email
    0:15:22 address for your CEO or your CEO, make it sound like their name. And I send email messages into
    0:15:27 your company asking people sort of lower down the stack to send me money. Is this like spearfishing?
    0:15:33 It is even more simplistic than spearfishing. The way it typically works is people in the
    0:15:37 workplace are generally conditioned to respond very quickly to anyone above them who sends them
    0:15:42 an email. So in the way that emails are typically displayed in an email client is that you just
    0:15:47 see the name of the sender. And so when your CEO sends you an email saying, I need money,
    0:15:50 I can’t get into my work account, can you please route the money to this address,
    0:15:55 people tend to do it. And they do it to the extent of losing $300 million a month.
    0:15:59 I feel shocking that they would do that. So it goes back to sort of the everything that’s old
    0:16:03 is new again, right? This is the oldest form of fraud, right? It’s the walking around asking
    0:16:07 people to give you money and seeing who’ll give you a dollar out of their pocket.
    0:16:09 Can you tell me a little bit more about why this matters in the context of all the other
    0:16:12 frauds and cyber crimes that we’ve talked about on this podcast? Oh, yeah. Well,
    0:16:17 I think broad strokes, if you sit back and you take a look at the way that fraud is evolving,
    0:16:22 in the very beginning of online fraud, attacks were super sophisticated. They use custom malware.
    0:16:27 You had all these different intermediaries. A whole industry popped up to support them.
    0:16:31 Whole businesses were dedicated to actually solving and finding the malware that created
    0:16:35 this fraud. As we’ve actually gotten better at technical security, we patch our systems,
    0:16:39 web application vulnerabilities are harder to find. Fraud is now just asking individuals
    0:16:42 to send you money, right? Like you said, everything old is new again. It’s basically
    0:16:46 back to basics. We’re back to social engineering. And that’s the most effective form of fraud that
    0:16:50 exists. Okay. So bottom line it for me, Joel. How should we think about this news? So the
    0:16:54 interesting thing about this fraud is that it’s able to grow at such a rapid rate and it sort of
    0:16:59 creates this new fraud at scale category that we’ve never seen before. And I think that fraud
    0:17:03 in its current form is going to continue to grow and scale in ways like this,
    0:17:06 in very simple, trivial ways that can hit multiple people and steal lots of money.
    0:17:11 It’s just an incredibly low effort to do. You create an email that looks like someone that’s
    0:17:15 already out there in the public domain and you start sending messages to people that work inside
    0:17:18 their country to send you money. And is technology going to be able to fix this if it’s a social
    0:17:22 engineering problem? So obviously there are things that technology providers can do. They can
    0:17:26 flag email messages to say they’re coming from outside of your company. They can actually give
    0:17:30 you warnings to say be careful. We’ve seen other scams that look like that. And we’re seeing a
    0:17:34 lot of providers start to do that. I think ultimately this is the kind of problem that gets
    0:17:38 solved with knowledge, that gets solved with information. It’s one of those things where
    0:17:42 the user is ultimately kind of the last line of defense and a lot of attacks like this. And if
    0:17:46 someone asks you to send the money and you send the money, there’s not a whole lot that technology
    0:17:50 can do there. Making people aware of these frauds tends to be the most effective way to prevent
    0:17:54 them and it’s the path that I advocate. So education basically? Absolutely. Knowledge is power.
    0:17:55 Thank you. Thank you.

    with @illscience and @smc90

    This is episode #7 of our news show, 16 Minutes, where we quickly cover recent headlines of the week, the a16z way — why they’re in the news; why they matter from our vantage point in tech — and share our experts’ views on these trends.

    This week we cover, with the following a16z experts:

    • Apple releasing a credit card, and what it means beyond the card features itself, what it means for consumer credit (and recession risks), and the financial ecosystem overall — with new a16z fintech general partner Anish Acharya;
    • BEC frauds and scams indictment and the FBI bringing a massive federal grand jury indictment, one of the biggest of its kind, and what it means and how to prevent this type of cyber fraud — with a16z operating partner for security Joel de la Garza;

    …hosted by Sonal Chokshi.


    The views expressed here are those of the individual AH Capital Management, L.L.C. (“a16z”) personnel quoted and are not the views of a16z or its affiliates. Certain information contained in here has been obtained from third-party sources, including from portfolio companies of funds managed by a16z. While taken from sources believed to be reliable, a16z has not independently verified such information and makes no representations about the enduring accuracy of the information or its appropriateness for a given situation.

    This content is provided for informational purposes only, and should not be relied upon as legal, business, investment, or tax advice. You should consult your own advisers as to those matters. References to any securities or digital assets are for illustrative purposes only, and do not constitute an investment recommendation or offer to provide investment advisory services. Furthermore, this content is not directed at nor intended for use by any investors or prospective investors, and may not under any circumstances be relied upon when making a decision to invest in any fund managed by a16z. (An offering to invest in an a16z fund will be made only by the private placement memorandum, subscription agreement, and other relevant documentation of any such fund and should be read in their entirety.) Any investments or portfolio companies mentioned, referred to, or described are not representative of all investments in vehicles managed by a16z, and there can be no assurance that the investments will be profitable or that other investments made in the future will have similar characteristics or results. A list of investments made by funds managed by Andreessen Horowitz (excluding investments for which the issuer has not provided permission for a16z to disclose publicly as well as unannounced investments in publicly traded digital assets) is available at https://a16z.com/investments/.

    Charts and graphs provided within are for informational purposes solely and should not be relied upon when making any investment decision. Past performance is not indicative of future results. The content speaks only as of the date indicated. Any projections, estimates, forecasts, targets, prospects, and/or opinions expressed in these materials are subject to change without notice and may differ or be contrary to opinions expressed by others. Please see https://a16z.com/disclosures for additional important information.

  • a16z Podcast: Software has eaten the world…and healthcare is next

    AI transcript
    0:00:04 The content here is for informational purposes only, should not be taken as legal business
    0:00:10 tax or investment advice, or be used to evaluate any investment or security, and is not directed
    0:00:13 at any investors or potential investors in any A16Z fund.
    0:00:16 For more details, please see a16z.com/disclosures.
    0:00:20 Hi, and welcome to the A16Z podcast.
    0:00:21 I’m Hannah.
    0:00:26 In this episode, A16Z co-founder Mark Andreessen and general partner on the bio fund Jorge
    0:00:30 Andre, take a look back at Mark’s software will eat the world thesis and think about where
    0:00:33 we are now, nearly a decade later.
    0:00:36 How software has delivered on that promise and where it is yet to come.
    0:00:40 In the wide-ranging conversation, the two partners discuss everything from the learnings
    0:00:44 of software’s transformation of the music and automotive industries to how software
    0:00:49 will now eat healthcare, including what exactly changed in the fields of bio and computer
    0:00:52 science to make Mark eat his own words.
    0:00:57 This conversation was originally recorded as an event at A16Z, so you’ll also hear me
    0:01:02 sharing the questions that were asked at the end so that you listeners can hear Mark’s
    0:01:03 answers.
    0:01:08 So thrilled here to have our founder, our co-founder and general partner, Mark Andreessen.
    0:01:14 For those of you that are traveling home after this via an airport, you will probably see
    0:01:17 this smiling face on the cover of a magazine.
    0:01:23 I’m told that this is a new technological device, it’s content that comes pre-printed
    0:01:24 on a paper.
    0:01:31 Apparently, it’s got excellent battery life, but it doesn’t update very fast, so.
    0:01:36 You can swipe, you can rip it, you can try swiping.
    0:01:41 So what we thought we’d do here is spend some time talking about how technology can transform
    0:01:47 industries and I think there’s no better person really anywhere to talk a bit about
    0:01:50 how technology does transform the world we live in.
    0:01:53 So, I thought we’d start from the very, very beginning.
    0:02:00 Part of the reason why you’re on the cover of a paper computer right now is because the
    0:02:06 firm is about 10 years old and around the launch of the firm, you articulated your vision
    0:02:11 of what was happening in the world as software is eating the world.
    0:02:15 I’ve seen you on stage with Clay Christensen, who is a Harvard Business School professor
    0:02:18 who coined the term disruptive innovation.
    0:02:23 One of the things he spends a lot of his time on is describing what disruptive innovation
    0:02:25 is and what it is not.
    0:02:28 So I thought maybe one place to start is to have you describe what in your mind, software
    0:02:30 eating the world means and what it doesn’t mean.
    0:02:31 Sure.
    0:02:36 So, the term is from an essay that I wrote that’s the Wall Street Journal random in I
    0:02:40 think 2011, so shortly after we started the firm.
    0:02:45 And so the basic observation was that the tech industry, the sort of modern tech industry
    0:02:48 kind of as we understand it in the Silicon Valley, that you’re sitting in the middle
    0:02:49 of right now.
    0:02:53 It was about a 70-year-old industry, started right after World War II when there were like
    0:02:57 a total of like five computers on the planet.
    0:03:01 And then over the course of the next 70 years, basically figured out a way to pack leading
    0:03:05 edged state-of-the-art supercomputer technology that used to cost $25 or $50 million into a
    0:03:07 $500 product that we all now have.
    0:03:11 There’s like four billion smartphones on the planet now on the way to seven billion.
    0:03:14 So there’s like the seven-year journey to basically get everybody on a computer and everybody
    0:03:18 on the internet that worked and it was a long journey and lots of drama and lots of fits
    0:03:19 and starts.
    0:03:20 But it did fundamentally work.
    0:03:22 And then so it’s kind of like, okay, is the industry finished?
    0:03:23 Like are we done?
    0:03:26 Like congratulations, everybody has a computer, mission accomplished.
    0:03:27 What’s next?
    0:03:28 Everybody’s on the internet, mission accomplished.
    0:03:29 What’s next?
    0:03:30 Is there anything that follows?
    0:03:34 And especially back then, this is after the financial crisis, there was like a prevailing
    0:03:37 kind of mood of like pessimism about the global economy and the American economy and the
    0:03:38 technology industry.
    0:03:41 And there were lots of press coverage at the time was like, “Text just in another stupid
    0:03:43 bubble and there’s nothing interesting happening.
    0:03:44 There’s nothing left to do.
    0:03:45 Innovation is dead.
    0:03:48 This stuff is all, from here on out, it’s all just stupid little silly games and things
    0:03:50 that don’t matter.”
    0:03:52 And so my view is sort of the exact opposite, right?
    0:03:54 Which is not only we’re not done, we’re just beginning, right?
    0:03:59 Which is okay, now we have a computer in everybody’s pocket with like incredibly powerful computer
    0:04:02 with like a lot of capabilities, which we’ll talk about related to health.
    0:04:06 And then everybody’s on the internet, everybody’s connected to everybody else and to kind of
    0:04:10 an entire universe of services and information and communications and everything else.
    0:04:12 Like to me, it’s just like, okay, that’s the beginning, right?
    0:04:15 It took 70 years to build the platform, get in the position, it’s like, “Okay, now what
    0:04:17 can we do on top of that?”
    0:04:19 And so what I tried to do with the concept of software is the world was kind of say,
    0:04:22 “Okay, how does this unfold from here kind of across industries?”
    0:04:27 And the way I described it was in three layers and I was sort of three claims, which I would
    0:04:32 say increase as you go in audacity or arrogance, depending on your point of view, or just flat
    0:04:33 out hubris, which is another possibility.
    0:04:38 So the base level claim is, the first claim is any product or service in any field that
    0:04:41 can become a software product will become a software product, right?
    0:04:44 And so if you’re used to doing something on the phone, that’ll go to software.
    0:04:46 If you’re used to doing something on paper, that’ll go to software.
    0:04:48 If you’re used to doing something in person, and then that can go to software, it’ll go
    0:04:50 to software.
    0:04:53 If you’ve had a physical product and think about things like, remember telephone answering
    0:04:55 machines, right?
    0:04:59 Or tape players, boomboxes, all the things Radio Shack used to sell, they’re all apps
    0:05:00 on the phone, right?
    0:05:01 Cameras, yeah.
    0:05:05 Remember, there used to be a physical product called a camera.
    0:05:06 That got paperized, right?
    0:05:10 By the way, physical newspapers, physical magazines, if it can become bits, it becomes bits, right?
    0:05:11 Why does it become bits?
    0:05:14 It’s like, well, if it’s bits, it’s better in a lot of ways.
    0:05:20 So bits like our zero marginal cost, so they’re easier to replicate at scale, become much
    0:05:21 more cost effective.
    0:05:22 A lot of bits just drop to free.
    0:05:26 By the way, they’re much more environmentally friendly, which is an increasing thing for
    0:05:27 a lot of people.
    0:05:29 You can change bits much more quickly.
    0:05:32 You can innovate much more quickly, add new features, add new capabilities.
    0:05:35 So there’s just lots and lots of reasons why it’s good to get things from physical form
    0:05:37 into software if you can.
    0:05:40 And so anything that can get into software will get into software.
    0:05:45 The next claim from there then is every company in the world that is in any of these markets
    0:05:49 in which this process is happening therefore has to become a software company.
    0:05:53 So companies that historically either did not have a technology component to what they
    0:05:57 did, or maybe have the classic conception of technology and business, which is called
    0:05:58 IT.
    0:06:03 We’ve got these gnomes in the back office, and they’ve got their lab coats, and they’ve
    0:06:06 got their mainframes, and they do their thing, and they print out these reports, and for
    0:06:10 some reason the reports are still in all caps.
    0:06:11 There’s that.
    0:06:14 But then there’s like, okay, like modern, which you might call sort of modern software
    0:06:15 development, right?
    0:06:19 And especially like customer experiences, like what’s the actual interface to the customer.
    0:06:22 Any company that deals with customers, especially consumers, is going to have to, I think, really
    0:06:26 radically up its game in terms of its ability to build the kinds of UIs and experiences
    0:06:28 that people expect these days.
    0:06:32 So every company becomes a software company, and then the most audacious claim is as a consequence
    0:06:37 of one and two, in the long run in every market, the best software company will win.
    0:06:41 And that doesn’t mean necessarily that it would be a new company that starts as a software
    0:06:44 company that enters an existing market that wins, but it also doesn’t necessarily mean
    0:06:47 that an incumbent that adapts to being a software company will win.
    0:06:51 And increasingly, and you’ll see this in many industries, including healthcare, including
    0:06:52 insurance, right?
    0:06:56 You’ll see many cases now where you’ll have kind of these new pure play software companies
    0:07:00 entering these incumbent markets, and usually from a position of like youth and naivete,
    0:07:03 and maybe they’re wrong, and maybe the idea is stupid, or maybe it’s Uber and Lyft entering
    0:07:07 the taxi market, and maybe they just have a fundamentally better software driven approach,
    0:07:10 and then you’ve got incumbents, right, scrambling to try to basically figure out how to become
    0:07:14 software companies, which is tricky, because software, the way we think about it, like
    0:07:15 it’s different.
    0:07:16 It’s not the same.
    0:07:17 It’s different.
    0:07:19 It’s a different kind of product to develop than a lot of people are used to.
    0:07:22 The culture of a software company is different than the culture of most existing companies,
    0:07:25 and then the kinds of people you need to hire to build software, especially modern software,
    0:07:29 especially things like mobile software, AI software, cloud software, like these are special
    0:07:35 people, and I say special, you know, multiple definitions of special, like these are, these
    0:07:38 are, let’s say, highly creative individuals.
    0:07:41 Just a random example, the defense contractors and intelligence agencies are having to revamp
    0:07:45 all their drug use policies, like right now, like the whole P and a cup thing before you
    0:07:49 get hired, like, doesn’t work if you’re trying to hire modern software development capabilities.
    0:07:53 It’s just like one random example, but like there are lots of instances where these cultures
    0:07:54 are different.
    0:07:57 And then you can kind of say, okay, if that’s the framework, then you can kind of go industry
    0:08:00 by industry, and say, okay, for each industry, like which industries are more prone for that
    0:08:03 to happen, and obviously in some industries, it’s like super clear.
    0:08:06 The media industry is an example where it’s just like obvious how fast that’s happening.
    0:08:09 There are other industries, like I would say cars is an example we might talk about quite
    0:08:12 a bit, so transportation, I would say it’s kind of right in the middle, which is like
    0:08:16 the incumbents in the auto industry have a really good claim on the idea that building
    0:08:20 cars is like incredibly hard, incredibly dangerous, very regulated, and the idea that a bunch
    0:08:24 of software founders out in the valley are going to start car companies is kind of absurd.
    0:08:28 But there’s, you know, 500 self-driving car startups within 50 miles of where we sit,
    0:08:31 and what those founders would tell you is all the value, 90% of the value of the car
    0:08:35 in five or 10 years is going to be in software, because the car is going to be an autonomous
    0:08:36 electric vehicle, right?
    0:08:38 So it’s going to be autonomous, it’s going to be self-driving, which means it’s going
    0:08:41 to have all this software that the car, the legacy car companies don’t know how to make,
    0:08:44 and then it’s going to be electric, so it’s not going to have all the internal combustion
    0:08:47 components of these car companies that’s been 100 years optimizing.
    0:08:50 And then by the way, the car might go from being a consumer product that people buy to
    0:08:52 just being a service that people access on demand, right?
    0:08:56 And so ride sharing networks in the self-driving world might just be you don’t own a car, you
    0:08:59 just press a button, and a self-driving car shows up and takes you where you need to go.
    0:09:03 And so, you know, so I would say there’s like a pitch battle kind of shaping up in the auto
    0:09:06 industry, and then there’s a bunch of other industries in which I would say the incumbents
    0:09:10 are much more comfortable that they don’t face this kind of disruptive challenge, and
    0:09:11 maybe they’re right.
    0:09:12 Yeah.
    0:09:16 They’re entrepreneurs now, they’re software-driven entrepreneurs, Silicon Valley-style entrepreneurs,
    0:09:21 sort of trying to figure out, like, by the way, including like really big, like education.
    0:09:23 Education is becoming a very hot market, right?
    0:09:27 Education is not a market that you would characterize as having had a lot of innovation over the
    0:09:29 last thousand years.
    0:09:33 And there’s, you know, there’s a new generation of founder out here that has this pretty compelling
    0:09:38 new offerings to education, I would say, even real estate, there’s a lot of surprising
    0:09:42 motivation happening in real estate, actually law as a field, which again, it’s not like
    0:09:45 traditionally super innovative, there’s a lot of new software interest into the legal
    0:09:46 field.
    0:09:51 And so there’s, people are going to be trying in basically every industry.
    0:09:52 Yeah.
    0:09:56 And so I want to make sure we get to the healthcare-shaped elephant at some point in the room.
    0:10:02 But to look back on the software, each of the world thesis, the three audacious claims,
    0:10:06 as you called them, any surprises that you’ve seen in the intervening years that you’ve
    0:10:11 said, okay, you know, if I were to rewrite that today, I would have taken a different
    0:10:12 view.
    0:10:13 Yeah.
    0:10:15 So I think the big one I mentioned already, but I think that what’s happening in the car
    0:10:18 industry, like when we started the firm 10 years ago, I would never imagine that we’d
    0:10:20 be investing in like literally new car companies like that.
    0:10:24 Just think about how crazy that, the auto industry was, the auto industry was like an
    0:10:27 entrepreneurial industry in like 1890, right?
    0:10:32 And then in the 1920s, like Henry Ford, it’s kind of the Bill Gates of his era, kind of
    0:10:33 figured the whole thing out.
    0:10:36 And then there were literally no new American car companies.
    0:10:40 There was one major new American car company since the 1920s, so there were like hundreds
    0:10:43 of new car companies in like the 1910s, and they shrunk to basically three.
    0:10:44 And then they stabilized.
    0:10:47 And then there was a huge new car, there was an attempt, there was an entrepreneur named
    0:10:51 Preston Tucker in the 1950s that created a car company called Tucker Automotive.
    0:10:55 It was the bold new thing, and it was such a catastrophe, they made a movie about what
    0:10:57 a catastrophe it was called Tucker.
    0:11:00 And so like if you were an entrepreneur tempted to start a car company, just watch the movie
    0:11:02 Tucker and it’s like, okay, I’m not doing that.
    0:11:07 And so the idea that that, you know, an industry that established would be opening up the way
    0:11:10 that it is has been very striking.
    0:11:11 That’s been the most striking one.
    0:11:15 By the way, I use the term kind of software very broadly just in the sense of like code
    0:11:18 that runs on chips and networks, while I’ve sure been reading about and seeing the rise
    0:11:22 of this sort of concept you hear under the terms machine learning, deep learning, artificial
    0:11:23 intelligence.
    0:11:27 Like in the valley, that’s in the valley, there are like two profound technological revolutions
    0:11:33 happening right now and that have the best engineers the most excited, and that’s one
    0:11:34 of them.
    0:11:38 By the way, the other one is cryptocurrency blockchain, which is a whole other conversation,
    0:11:43 but the sort of machine learning, deep learning AI is an incredibly fertile area of creativity
    0:11:48 right now and is advancing at an incredibly high rate of speed technologically.
    0:11:52 And so the other question that I think is increasingly coming up when we think about
    0:11:56 the kinds of companies and founders we back is kind of how AI native or ML is sort of
    0:12:00 machine learning native, the founders are and the companies are, and even in the valley
    0:12:03 there’s a big, there’s a big spread, I think, between the software founders that have really
    0:12:06 figured out this new technology and how to use it and the founders that still haven’t
    0:12:07 kind of tuned up on it.
    0:12:11 And so it’s like very much in flux and if that stuff works the way that it looks like
    0:12:14 it might work, you know, that could really be transformative even beyond just the idea
    0:12:15 of software.
    0:12:17 Oh, I think that’s right.
    0:12:21 So if we look at a couple of the industries that have been responsive and receptive, I
    0:12:25 mean, the auto industry, right, I think it’s a big surprise that they would have adapted
    0:12:29 to the fact that cars are becoming more sort of software centric.
    0:12:32 What about industries that have been almost entirely transformed?
    0:12:33 So take, for example, the music industry.
    0:12:39 I think if you live outside of Silicon Valley, if you sort of looked at the first wave of
    0:12:43 the internet, one of the first industries that was fundamentally transformed was the
    0:12:45 music industry.
    0:12:51 Do you think, you know, that other industries have will likely suffer that fate that music
    0:12:52 has?
    0:12:53 Yes.
    0:12:54 It’s a funny thing.
    0:12:55 So music was like, I think it’s something like a triple whammy.
    0:12:58 So, so first of all, one of the interesting things about music was it turns out people
    0:13:00 really love music.
    0:13:03 And I say that because like generally when we fund startups, like the question always
    0:13:05 is like, well, the dogs eat the dog food, like are people actually going to want this
    0:13:06 thing?
    0:13:08 And the thing with music is like, what was the huge issue with music?
    0:13:09 It was like piracy.
    0:13:13 Like all of a sudden, you know, the music listeners went crazy and I’ll start to break
    0:13:16 in the law and I’ll start to listen to music online and the record labels are freaked out
    0:13:19 and they were like, well, what, what, you know, basically like our customers have turned
    0:13:22 evil and it’s like, well, you know, maybe.
    0:13:25 But like, first of all, like, wow, isn’t it great that they all love music so much?
    0:13:28 And for some reason, the music executives, I knew never thought that was a very good
    0:13:29 point.
    0:13:30 But I thought, I thought it was interesting.
    0:13:34 I’m like, look, they want, they want the thing like they’re showing normally in business
    0:13:37 when the customers line about the door and they’re like, I want to consume, you know,
    0:13:38 music digitally.
    0:13:40 You would normally want to say, okay, I want to find a way to service them.
    0:13:43 You know, the music label heads went, no, you shouldn’t be able to get music digitally.
    0:13:45 And so that, that, that was the first interesting thing.
    0:13:48 It was, it was the reverse of the normal supply and demand problem you have.
    0:13:51 And it was literally overwhelming consumer demand for online music, streaming music,
    0:13:52 digital music.
    0:13:55 And it was overwhelmingly suppliers refusing to accommodate it.
    0:13:56 So that was weird.
    0:13:58 So then it was like, okay, well, why is that happening?
    0:14:00 Well, then you get into the, into the pricing, right?
    0:14:04 And then as you guys all know, like the pricing had become, you know, there’s 12 album, you
    0:14:07 know, there’s 12 songs in the album, the album costs 17 bucks and I want one of the songs,
    0:14:08 right?
    0:14:12 You know, I can just pay $17 for a song with, you know, and then another 11 songs I don’t
    0:14:13 want.
    0:14:17 And so then it’s like, okay, well, that’s weird, like, you know, is that really, but
    0:14:20 the whole structure of the record industry had gotten built up around that.
    0:14:23 And then there was the thing that it actually got down to, which took a while to kind of
    0:14:27 surface, but it ultimately did finally come out, which was, it was, it was a cartel.
    0:14:31 It was like a full on and a competitive, monopolistic cartel with price fixing.
    0:14:34 And we now know that because there were antitrust cases from this era that finally impealed the
    0:14:35 whole thing.
    0:14:38 So this, this has all become since public record, but they, they were all colluding.
    0:14:41 And so they were, you know, four or five labels and they were all getting together and setting
    0:14:42 prices.
    0:14:45 And that’s why they were, that’s in retrospect why they were so dug in.
    0:14:47 Because it was, and it was a magical business model, right?
    0:14:50 I mean, it’s like, if you could, like, let’s imagine you could collude and then let’s imagine
    0:14:53 as a consequence of that, you could overcharge by like a factor of 10, like, wouldn’t that
    0:14:55 be great?
    0:14:59 And so that, that in retrospect was the thing that I think a lot of us out here missed because
    0:15:04 their behavior was just so illogical otherwise, you know, the problem was that lasted until
    0:15:05 it didn’t last, right?
    0:15:09 And then, you know, the way that didn’t last is first the consumers, the consumers, I think,
    0:15:14 like, the consumers were breaking the law, but however, they had, they had actually,
    0:15:15 they were breaking the law.
    0:15:17 They were doing the wrong thing, but for the right reasons, they had concluded that the
    0:15:21 industry that was servicing them was actually immoral, which was actually correct.
    0:15:22 It actually was immoral.
    0:15:24 It is immoral to price fix and collude and illegal.
    0:15:28 So, right, you had illegal customers, illegal customer behavior and illegal supplier behavior,
    0:15:32 like super healthy market.
    0:15:34 And so, you know, so what’s the moral of the story?
    0:15:35 You know, what’s the moral of the story?
    0:15:38 Well, it’s like, okay, that which can become software will become software.
    0:15:41 There was just overwhelming, you know, look, we all live this today, like, how do I want
    0:15:42 to listen to music?
    0:15:46 I pull up Spotify on my phone and listen to music, like the idea of being forced back
    0:15:49 to, you know, figuring out which box in the garage has the CDs, you know, it’s just, you
    0:15:52 know, sounds like medieval torture.
    0:15:55 And so, the thing that can become software will become software.
    0:15:58 And then, you know, prices are going to rationalize, and we could talk more about that, but there’s
    0:16:01 like, there’s a big, I think, rationalization of prices happening across the economy that’s
    0:16:04 pretty interesting as a consequence of the increased transparency.
    0:16:07 And then, you know, the suppliers, like the cartels, you know, the cartels, the cartels
    0:16:09 attach the old technology aren’t going to survive.
    0:16:13 Like that kind of transformation is going to be a really big deal.
    0:16:16 And it took time, like it, you know, it took 15 years, maybe is the other thing, like it,
    0:16:18 you know, it was 15 years of the record labels trying to hold out.
    0:16:21 And by the way, it was 15 years of tech startups that tried to solve this problem.
    0:16:24 And so, there, you probably remember, if you’re into music, it’s like, I don’t know, there
    0:16:27 was, I forget, you know, there was Napster, which got put, you know, put out a business
    0:16:30 early on that could have been the thing, but then there was Kaza, there was LimeWire, and
    0:16:33 there was BitTorrent, and then there were all the early streaming services.
    0:16:36 And actually, what’s interesting is they were all terrible venture investments.
    0:16:39 They were all catastrophes, right, because they were too early, like, because they couldn’t
    0:16:42 get the rights to the music, because the labels wouldn’t do the trade, they wouldn’t do the
    0:16:43 deal.
    0:16:45 And so, they could never get the rights to the music, and so, they could never actually
    0:16:48 offer a service the consumers actually wanted that was also legal.
    0:16:50 And so, they were actually all bad investments.
    0:16:53 But then finally, after 15 years, the pressure built to the point where it actually was time
    0:16:55 for fundamental change, and that’s when Spotify kind of catalyzed.
    0:16:59 Actually, a lot of, a lot of VCs like us actually did not invest in Spotify at that time, because
    0:17:03 there was this 15-year history that all the other attempts to do what Spotify was doing
    0:17:04 had failed.
    0:17:07 But the time had actually come, right, and now it’s obvious what happens, which is like
    0:17:11 music is like 10 bucks a month and it’s all you want, you listen to it, and Spotify has,
    0:17:14 I don’t know how many, but Spotify is going to end up with like a half billion or a billion
    0:17:18 subs at like 10 bucks a month, and then they’ll, they’re parceling out all the money to the
    0:17:19 artists.
    0:17:22 And everything that in music could become software has become software.
    0:17:23 It has become software.
    0:17:27 The one thing that still you have to do in person is the experiential part of going to
    0:17:29 see a musician perform.
    0:17:34 So that’s where musicians today make a lot of their money, right, in terms of going and
    0:17:35 having the in-person piece.
    0:17:38 And I think if you look at the healthcare industry, I mean, I think there’s probably
    0:17:39 some element to that.
    0:17:42 There’s still, there’s always going to be a human element, an in-person component to
    0:17:45 treating and managing disease and patients.
    0:17:48 Well, actually, there’s a related point there, which is actually, there’s this weird, Clay
    0:17:49 Christiansen actually points this out.
    0:17:53 There’s this weird thing where, you often see in many industry structures, when one layer
    0:17:56 commoditizes, the next layer can become incredibly valuable.
    0:17:59 And so it’s this deceptive thing, because people are focused on the layer that’s commoditizing
    0:18:02 and kind of the shrinkage, kind of, you know, revenue in the market cap that’s happening.
    0:18:04 And they tend to think that means the whole industry is going down.
    0:18:07 But like, you know, look, the music industry contracted, right, the amount of money people
    0:18:09 spent on recorded music shrunk dramatically.
    0:18:12 It’s finally started to grow again with streaming, but like it shrunk dramatically over the course
    0:18:14 of, you know, 15, 20 years.
    0:18:17 What actually happened is super interesting is the complement expanded dramatically.
    0:18:21 So over that same time period, I think the U.S. market for live concerts over the last
    0:18:23 15 years grew 4X.
    0:18:24 Wow.
    0:18:28 And that’s in aggregate dollars, aggregate inflation-adjusted demand.
    0:18:32 And it kind of makes sense, which is like, okay, congratulations, you know, Mr. Consumer,
    0:18:33 congratulations.
    0:18:35 You now have unlimited access to all the recorded music you want.
    0:18:36 It’s now free.
    0:18:37 Everybody has it.
    0:18:38 You know, there’s no status.
    0:18:41 Like, there’s, you know, there’s no, you don’t have the, like, record labels.
    0:18:44 You know, you don’t have the, you know, the LPs lined up on your shelf, and if you’re,
    0:18:46 you know, courting a young man or young woman, and they come over and you want to show off
    0:18:49 your music, you don’t get to do, you know, it’s like, hey, look at my Spotify, right?
    0:18:50 It’s not the same.
    0:18:52 So, you know, so there’s no social effect to it.
    0:18:53 It’s not really funny.
    0:18:55 It’s good.
    0:18:58 It’s like, it’s consumer nirvana, except it’s like they’ve drained out all the fun.
    0:19:01 And so what’s fun is like going to the concert, right?
    0:19:03 And by the way, I’m not spending as much money in recording music, and therefore I have more
    0:19:05 money available to actually buy concert tickets.
    0:19:09 And so the concert business, the sort of experience side of it has exploded in revenue, and you
    0:19:14 might, you could easily hypothesize the exact same thing happening in healthcare, right?
    0:19:18 For example, if more of the actual products and services in healthcare could get commoditized,
    0:19:21 and over time you could break the cost curves and actually shrink it, you know, maybe concierge
    0:19:24 medicine would just explode, right?
    0:19:27 Maybe what people actually, maybe a lot more people actually want the kind of concierge
    0:19:28 experience today.
    0:19:29 They can’t afford it.
    0:19:30 But if you, if you, if you correct the price curve and a lot of the other stuff, maybe you
    0:19:31 could open that up.
    0:19:32 And so, yeah.
    0:19:35 So it’s basically the moral of that is just pay attention to the compliments.
    0:19:36 It’s not, it’s not just a thing.
    0:19:37 It’s never a single factor.
    0:19:40 There are other implications for other errors in spending.
    0:19:41 Yeah.
    0:19:44 And so actually on that note, you know, given in the healthcare industry, we’re of course
    0:19:49 one way, shape, or form, we’re all customers of the healthcare industry over our lifetime
    0:19:50 we will be.
    0:19:55 You served on the board of the Stanford hospital for five, six years.
    0:20:00 Could you talk a little bit about what you learned about the delivery of healthcare from
    0:20:06 that, from serving on the board of a hospital and really coming in as, as a layperson to
    0:20:07 the industry?
    0:20:09 I would say the best thing about it was, you know, the mission of the place was obviously
    0:20:10 just amazing.
    0:20:13 And I’d say that the mission, both in terms of the actual healthcare, but also the mission
    0:20:18 of the translation of, of, of medical research, you know, the, the integration with the medical
    0:20:19 school, you know, the research happening.
    0:20:23 It was an on profit with highly motivated people, people, which was exciting to see.
    0:20:26 You know, then, yeah, there was innovation happening all over the place.
    0:20:28 And in fact, it was actually exciting because we got, we had the chance to actually design
    0:20:34 and build a new hospital, which I’m delighted to say is opening finally this fall.
    0:20:39 So we, we agree, we agree and let the project, I believe in 2005 and we’re opening it in
    0:20:40 2019.
    0:20:41 These are all 15 year cycles.
    0:20:43 These are 15, 15, 15 year, 15 year cycles.
    0:20:45 And then, you know, that, that got, you know, that we spent a lot of time on the design
    0:20:47 of the new hospital, which was super interesting.
    0:20:50 You know, the two things that were probably the biggest, I don’t know, the surprises, the
    0:20:54 things that just kind of really jumped out, it’s like 25 board members, right?
    0:20:57 So our boards, like our well functioning boards at our companies, it’s like seven people,
    0:21:00 beyond seven people, you can’t have a good discussion.
    0:21:04 And so, you know, 25 people is like a UN summit.
    0:21:07 And so I would not describe the board meetings as highly dynamic and we didn’t really get
    0:21:09 into a lot of the issues.
    0:21:12 And then the other kind of just really thing that blew me away, which I’m still kind of
    0:21:15 tracking and I’m fascinated by was the issue of quality.
    0:21:19 So I happened to join the board right after we hired our first chief quality officer,
    0:21:23 which was a guy who had come out of management consulting at Six Sigma, kind of, you know,
    0:21:24 manufacturing quality thing.
    0:21:27 You know, for those of you who kind of know the, kind of the history of these things,
    0:21:31 the U.S. auto industry, like, was a huge ascended industry in the 50s and 60s, but had this
    0:21:35 massive quality problem, which was like literally people were dying, like there were no seatbelts
    0:21:38 in the cars, like the steering columns were like impaling people, like there were all
    0:21:40 kinds of horrific problems.
    0:21:43 And then when the Japanese and the Germans came in with safer cars, like it catalyzed
    0:21:48 a huge crisis in the U.S. auto industry, and Ralph Nader made his name originally by crusading.
    0:21:51 The book was called “Unsafe at Any Speed,” which was a reference both to the car and
    0:21:52 to the industry.
    0:21:56 And then starting in the ’70s, ’80s, ’90s, the auto industry implemented this thing,
    0:22:00 the TQM Total Quality Management, Six Sigma, which is a process to kind of get all the
    0:22:04 bugs out, you know, kind of the idea of defect-free manufacturing, which is why generally if you
    0:22:08 buy a car today, like it’s a far higher quality experience than a car 50 years ago, and usually
    0:22:12 it’s actually a much better experience even than a car 10 or 20 years ago, like they’re
    0:22:13 quite good now.
    0:22:16 You read these histories of, like, I don’t know, when they figured out collar on the
    0:22:17 water or stuff like this.
    0:22:19 They figured out, like, what germs are and what infection is.
    0:22:22 And it’s like, you know, it was 18, whatever, 1880 or something, they figured out it’s
    0:22:25 a good idea to wash your hands before you perform surgery.
    0:22:30 And so it’s 2004, and there’s still doctors walking into rooms and getting people sick.
    0:22:34 The compliance rates for the scrubbing into the rooms is, like, I don’t know, 34 percent
    0:22:35 or something.
    0:22:36 And I’m just like, “Oh, fuck.”
    0:22:37 Like, sorry.
    0:22:41 It’s like, how can you—anyway, so that was at the front end of that.
    0:22:44 You know, it’s been fascinating to track that because, on the one hand, it’s very clear
    0:22:45 that they’ve made a lot of progress.
    0:22:48 On the other hand, there is innovation yet to be done.
    0:22:52 I mean, so—and you guys, I think you guys must know—yeah, I’m sure you guys know all
    0:22:55 this, but, like, you know, medication compliance, like, the data on medication compliance is
    0:22:56 absolutely horrifying, right?
    0:22:59 It’s like, I don’t know, something like two-thirds of all prescribed medications are
    0:23:03 not—it’s like a third of all prescribed medications are unfilled, right?
    0:23:06 Another third are not—people don’t take them on schedule, right?
    0:23:09 And then you get the details on it, and, like, a lot of people, especially older people,
    0:23:12 you give them, like, eight or ten or twelve different medications, they’re supposed to
    0:23:13 track it.
    0:23:16 They’ll just dump all their medications into, like, the candy bowl and, like, mix it all
    0:23:18 up, and every day they’ll take a handful of pills, right?
    0:23:22 Like, and actually, that’s pretty good, right?
    0:23:25 That’s better than just it’s all on a shelf somewhere or they can’t get the bottles open.
    0:23:27 And so, you know, medication compliance is a train wreck.
    0:23:31 It’s actually the—I read this thing the other day—medication compliance on—medication
    0:23:35 compliance on the medication after organ transplants is actually terrible.
    0:23:38 It’s only like—you know, like, kidney transplants, it’s only, like, 60% compliance.
    0:23:39 That’s incredible.
    0:23:40 It’s incredible, right?
    0:23:43 And, like, it’s in the other 40%, like, you’re going to die, right, and they still can’t
    0:23:44 get compliance, right?
    0:23:47 And so, and there, you know, there’s eight different reasons for that.
    0:23:48 And so, there’s that issue.
    0:23:51 Another is just, like, yeah, literally tracking the doctors.
    0:23:56 Like an idea—just an idea that we should fund, like, we’re seeing all these new—actually,
    0:23:59 we’re seeing all these new technologies now to do things like, for example, to watch in
    0:24:03 assembly line environments, to have, like, cameras that, like, watch everybody’s, you
    0:24:06 know, basically time and motion, like, in the factory, and then you can use these machine
    0:24:09 learning technologies to kind of decode, like, are people doing the right thing?
    0:24:10 Are they tightening the screws?
    0:24:11 Tightening the bolts?
    0:24:12 Are the machines running properly?
    0:24:14 You know, and maybe we should have, like, a camera outside, you know, every patient
    0:24:17 door and, like, is the—are the doctors and nurses actually, like, scrubbing their hands?
    0:24:18 Like, you know, Pure-El.
    0:24:20 Yeah, Pure-El, like, you know, Pure-El track.
    0:24:24 So, like, fairly basic stuff is still—I mean, I think the reality is I think there’s a lot
    0:24:26 of basic stuff that’s still not being done.
    0:24:29 And so, there’s—yeah, there’s—yeah, and the problem with this kind of thing is it’s
    0:24:35 like, okay, like, you know, what is it—what’s the—medical errors are the what most common
    0:24:36 in the hospital?
    0:24:37 Or the third?
    0:24:38 Yeah.
    0:24:39 And then, of course, and then this whole issue of infection, you know, hospital-borne infections,
    0:24:45 like, it’s, I think, an open question, how much of that is fixable or, you know, compliance
    0:24:46 issues.
    0:24:47 And it’s definitely not getting better.
    0:24:48 Yeah, right, exactly.
    0:24:49 Yeah, and so—
    0:24:52 And while you were on the board of the hospital, you know, a lot of—when folks think about
    0:24:57 software and healthcare, people just automatically assume, you know, EMR is sort of the example
    0:25:00 that a lot of people gravitate towards.
    0:25:05 Did you go through the experience of incorporating and implementing an EMR at Stanford while you
    0:25:06 were on the board?
    0:25:07 Yep.
    0:25:08 Tell us a little bit about that process.
    0:25:09 Oh, yeah, yeah, yeah, yeah, we put that out to bed.
    0:25:12 I think we got back one viable bed, I think, for the complexity of Stanford Hospital.
    0:25:13 It was EPIC.
    0:25:18 It was a $400 million project, probably—well, I don’t know, probably a hundred to EPIC or
    0:25:19 something like that.
    0:25:23 And then after 300, we went out for integration bids, and this is where I almost started crying.
    0:25:25 It was Perot Systems.
    0:25:26 Ross Perot.
    0:25:31 Ross Perot Systems, which—Perot Systems was the follow-up to EDS, Ross Perot’s company,
    0:25:33 which is now owned by Dell.
    0:25:36 And so, yes, it’s a $400 million project, Perot Systems.
    0:25:41 This was 2005, I think, when we started the EPIC implementation, and they were very excited.
    0:25:42 They were very excited.
    0:25:44 I was very excited because I was like, “Wow, this is like a new hospital, it’s probably
    0:25:45 going to be mobile.”
    0:25:47 This is when smartphones are starting to take off, and it’s going to be mobile, and it’s
    0:25:49 going to be sensors, and all this stuff.
    0:25:50 It’s going to be great.
    0:25:54 And it was like they were super excited because they had just moved to the Windows 95 UI in
    0:25:55 2005.
    0:25:58 It was like the big upgrade from Windows 3.1.
    0:26:01 And I was like, “Oh, my God.”
    0:26:06 And it’s 2019, and it’s still—right, it’s obviously still the same thing.
    0:26:07 Right.
    0:26:08 Yeah.
    0:26:10 The other incredibly entertaining thing about EPIC is that they are so—out here, it’s
    0:26:13 like—out here, there’s a big focus on software interoperability.
    0:26:16 And so, it’s like in one piece of software, work with another, there’s this whole concept
    0:26:19 of what I call—there’s entire companies now that are called API companies that basically
    0:26:21 software building blocks that you plug together, there’s open source.
    0:26:24 And so, out here, it’s just this constant process of everybody building and everybody
    0:26:29 else’s creativity, and the whole thing rises, except for EPIC, which has an absolute prohibition
    0:26:32 on third-party integration that does not tolerate it.
    0:26:35 We’ll sue you if you attempt to integrate with it, so—
    0:26:39 So when you launched the firm, you famously said—or in the early days of the firm, you
    0:26:45 famously said that you won’t see A16Z investing in bio and healthcare, and that’s obviously
    0:26:46 changed.
    0:26:47 Yeah, that’s changed.
    0:26:50 Can you talk a little bit about the evolution of that thought process?
    0:26:51 Modern venture capital is like roughly 50 years old.
    0:26:54 It kind of started in the 1970s in kind of the modern form, and there are basically two
    0:26:57 fields within venture that actually worked.
    0:27:01 There’s sort of what you might call digital technologies, computer-based technologies,
    0:27:06 IT broadly defined, and then there’s biotech, and biotech kind of broke down traditionally
    0:27:10 into new pharma, new therapies, and then new treatments, and then new medical devices.
    0:27:14 And actually, a lot of the best venture capital firms actually had dual practices, right?
    0:27:15 And so, there are many examples of this.
    0:27:17 Kleiner Perkins being a very prominent one for a long time.
    0:27:20 They had dual practices, and so they have the digital—they call it the digital team,
    0:27:22 and then they have the healthcare team.
    0:27:25 And once upon a time, they kind of collaborated, they all worked together.
    0:27:29 And then what happened, right, is the economics of those two sectors just like fundamentally
    0:27:30 diverged.
    0:27:34 And the fundamental reason for this is, right, in the sort of digital technologies and digital
    0:27:38 venture, you’re fundamentally writing this curve called Moore’s Law, right, which is
    0:27:41 sort of the—basically the price of the underlying components for software and hardware basically
    0:27:43 falls in half every 18 months.
    0:27:46 So, you get this amazing kind of downward cost curve, and that’s why you keep coming
    0:27:50 up with new applications for computers because everything keeps getting cheaper.
    0:27:51 And really quickly, right?
    0:27:54 And then in new pharma and in new medical devices, you had the reverse of Moore’s Law
    0:27:59 literally, which is called Erum’s Law, E-R-O-O-M, which is more backwards.
    0:28:06 And Erum’s—and Erum’s Law is the cost to bring a new drug or a new medical device
    0:28:09 to market doubles every end years, right?
    0:28:13 So the cost goes—it goes the wrong direction, right, up to—and 20 years ago or 15 years
    0:28:17 ago, what happened was the VCs that were in both basically decided that they didn’t work
    0:28:19 anymore, that the economic cycles were too different.
    0:28:23 So you could fund, you know, Facebook, you know, with whatever, $20 million, or you could
    0:28:27 fund a new pharma effort with a billion dollars, right, and still probably have to raise another
    0:28:31 $3 million by the time you’re done, right, or end up selling out to big pharma at some
    0:28:32 point.
    0:28:35 And so they just became kind of two fundamentally different domains, and then by the way, they
    0:28:38 were two fundamentally different sciences, right, because they were sort of computer
    0:28:41 science on the one side, biological science on the other side, and they didn’t really
    0:28:42 intersect.
    0:28:45 You don’t really use computers that much doing new drug discovery or new medical devices.
    0:28:49 And so that was—that was the situation we saw in 2009, was kind of—they were actually
    0:28:53 separating out, and actually the leading kind of biotech VCs now are not names that anybody
    0:28:57 in Silicon Valley would even necessarily know, because it’s just such different worlds.
    0:29:03 What we started to see starting about six years ago, starting around 2012, probably 2013,
    0:29:06 we started to see a new kind of founder show up, and we started seeing founders showing
    0:29:11 up with PhDs in biology, you know, often MDs, and then also either degrees in computer science
    0:29:15 or the equivalent of degrees in computer science, sometimes actually like dual PhDs, but also
    0:29:19 sometimes it was just, you know, I’m a PhD in bio, but I’ve actually been programming
    0:29:20 computer since I was 10.
    0:29:23 Like, I’ve got, you know, 25 years, you know, I’ve got 20 years or whatever, sort
    0:29:27 of the equivalent of like, you know, educational experience in computer science.
    0:29:31 And then these founders are showing up with these kinds of hybrid, right, technologies
    0:29:34 that were kind of half bio, half computer science.
    0:29:37 And then, honestly, they would come in and pitch us, right, and then this is why I always
    0:29:40 call the dogs watching TV, you know, phenomenon, you know, because they’d be up there and
    0:29:44 they’d be talking about the genome and this and, you know, the exome and riblinocleic this
    0:29:48 and that and the other thing, and you know, we’re all just kind of like, you know, sort
    0:29:51 of vey, you know, I’ve heard these words before, I don’t quite know what they mean.
    0:29:55 And then they would say, you know, algorithm, and we’d all go woof, right, like, you know,
    0:29:56 we get that.
    0:29:59 And then, you know, and then we didn’t know quite what to make of these, right, and so
    0:30:02 then we’d ask the founders, just feel like, well, what happened when you go pitch the
    0:30:04 bio VCs, the healthcare VCs, like, what are they doing?
    0:30:08 It’s like, you know, it’s so weird, it’s like dogs watching TV, you know, except, you
    0:30:10 know, we go on and on and on about machine learning and they just look at us puzzled
    0:30:13 and then we say, you know, riblinocleic and they get all excited.
    0:30:17 And so what happened was we basically said there’s this missing middle, right, which
    0:30:20 is basically the convergence of these, actually, it’s interesting, it’s the convergence of
    0:30:24 the scientific domains, right, and then as a consequence, it’s the converging of the
    0:30:27 technological domains and then that means the convergence of the industries.
    0:30:30 And so we just started to see this repeating pattern of these new kinds of founders and
    0:30:35 we said, well, look, we said it’s unlikely that these bio VCs, these bio VCs have gotten
    0:30:38 so detached from computer science that they’re unlikely to figure this out.
    0:30:42 A bunch of the computer science VCs just got done shutting down their healthcare practices,
    0:30:44 they’re not probably going to leap back into it.
    0:30:47 Maybe there’s this new thing in the middle and then there we got VJ, our partner VJ,
    0:30:50 who was a professor at Stanford where he was literally right in the middle of this convergence
    0:30:54 in his time at Stanford and he came over and he kind of spun us up on this whole domain
    0:30:57 and then Jorge joined us subsequently.
    0:31:00 And I think we’ve, like, I think we’ve discovered, like, there’s a real, there’s a real vein
    0:31:01 here, right.
    0:31:05 And it’s interesting because like we are seeing more of the CS focused VCs starting to edge
    0:31:09 in now and adapt, we’re also seeing more of the life sciences VCs starting to edge in
    0:31:11 but it’s still, there’s this thing in the middle.
    0:31:15 And then as you were indicating, like, with the epic question, like, you know, there’s
    0:31:18 for sure, it’s like, I mean, there’s like the pure like convergence, which is like the
    0:31:19 concept of digital therapeutics, right.
    0:31:22 So, you know, and things like, for example, diabetes and so forth.
    0:31:26 And then there’s all these potentially new kinds of diagnostic, new kinds of sensors,
    0:31:28 you know, use the sensors in the phone to do diagnostics, things like that.
    0:31:31 And then there’s a lot of work happening in like bioinformatics and, you know, the research
    0:31:35 side, you know, sort of cloud, cloud biology is a big thing that we have.
    0:31:38 And then there’s actually applying information technology to the operations of the actual
    0:31:43 healthcare industry, which gets into things like medical records and hospital management
    0:31:44 services and stuff like that.
    0:31:47 And so we basically decided we’re taking a very broad, we’re taking a very broad brush
    0:31:50 at this and we’ll basically, we’re working in all those areas.
    0:31:54 And I think we’re finding it to be a very dynamic and very fertile area.
    0:31:55 Absolutely.
    0:31:59 What advice that someone who’s been investing in has been an entrepreneur has been investing
    0:32:02 in entrepreneurs now for above a decade.
    0:32:08 What advice would you give industry leaders in terms of how to engage with innovators
    0:32:10 with entrepreneurs?
    0:32:13 And conversely, what advice should we be given to entrepreneurs to engage with folks that
    0:32:14 are leading the industry?
    0:32:15 Yeah.
    0:32:19 So the big thing to think about, the big difference between kind of how the valley works and kind
    0:32:23 of the rest of the business world works is as follows, which is like in most of the business
    0:32:26 world, like you’ve got some existing position in something and you’re trying to figure out
    0:32:27 like what to do with it.
    0:32:29 And you’re trying to figure out how to defend it, you know, defend a market or you’re trying
    0:32:31 to figure out how to advance, innovate within the market.
    0:32:34 But like you’re kind of dealing with a big existing, you know, big existing companies,
    0:32:36 big existing businesses.
    0:32:40 You know, out here, we don’t generally have that, you know, we’re generally starting from
    0:32:41 scratch.
    0:32:45 And I think the way to think about it is selling of all these startups, they’re experiments
    0:32:46 first and foremost.
    0:32:50 And they’re experiments often in technology, we’re trying to take actually much scientific
    0:32:54 experimental risk, but they are technological experiments, can we build the product?
    0:32:57 And they’re business experiments, which is like, you know, is anybody going to want
    0:32:58 this thing?
    0:32:59 Am I going to be able to make a business on it?
    0:33:01 Am I ever going to be able to turn a profit on it?
    0:33:02 They’re experiments.
    0:33:05 And like you might say, well, that’s dumb, like why would you like to, you know, risk all
    0:33:08 this money and effort and launching experiment for a product that you don’t know whether
    0:33:10 you can build and you don’t know what anybody would want.
    0:33:12 And most of the world doesn’t run those experiments.
    0:33:14 And so maybe there should be one place that does, right?
    0:33:15 And this is that place.
    0:33:18 And so the ethos of the valley is these are experiments.
    0:33:21 And that’s actually what leads to this interesting phenomenon in the valley, which is you’ll have
    0:33:25 founders that have a company that’s like just like almost in some cases like a famous train
    0:33:26 wreck.
    0:33:27 Like it just didn’t work at all.
    0:33:29 And like, you know, five years later, they’ll go start the next company and they’ll easily
    0:33:30 raise money for it.
    0:33:31 Right.
    0:33:32 And again, like a lot of the rest of the world would be like, well, why are you getting behind
    0:33:33 somebody who already failed?
    0:33:37 And the valley is like, well, if they learned along the way, right, and they’re now better
    0:33:40 at running the experiments the second time, let’s find them to run the second experiment.
    0:33:43 And in fact, a lot of the best companies in the valley are founded by people who had one
    0:33:48 or two significant failures before they, you know, before they founded the winner.
    0:33:52 And so, so I’d view it as like it’s an incredibly fertile landscape of experiments in and there’s,
    0:33:55 you know, there’s thousands of experiments being run and, you know, these are pretty big,
    0:33:59 you know, can we build the self-driving cars like a pretty big experiment.
    0:34:01 So then it’s when kind of, you know, people, especially from established industries come
    0:34:06 here, it’s kind of like the temptation is to evaluate like each experiment one by one.
    0:34:09 So it’s like, you know, you look at a given startup and it’s like, well, I don’t know,
    0:34:11 like, you know, this thing might work, the technology might work, the business might
    0:34:13 work, you know, this, whatever, this might be the right founder.
    0:34:14 Don’t quite know.
    0:34:17 There’s all this idiosyncratic risk with this experiment.
    0:34:20 And I feel like I should make the decision whether or not to talk to the startup or work
    0:34:25 with the startup based on the characteristic of this, you know, of this particular instance.
    0:34:26 That’s one way to do it.
    0:34:29 The other way to do it is more like what we do, which is also what I think the big
    0:34:32 companies that are good at doing this also do, which is you can say, well, look, it never
    0:34:35 makes sense to just run one experiment, but it might make sense to run 10 experiments.
    0:34:40 And so it might be that the partnership model that makes sense is let’s put together a portfolio.
    0:34:43 Like let’s figure out 10 areas that we think are potentially interesting.
    0:34:45 Let’s find the 10 most interesting startups in those areas.
    0:34:49 And then let’s run, let’s, let’s try 10 partnerships and let’s, and let’s think about it very explicitly
    0:34:53 as a portfolio of part, you know, portfolio investments, a portfolio partnerships, a portfolio
    0:34:55 of new supply relationships, whatever it is.
    0:35:00 And then let’s evaluate the result of those 10 experiments as a basket, right?
    0:35:02 And just the nature of probabilities being what it is.
    0:35:03 Some of them are going to work.
    0:35:04 Some of them are not, right?
    0:35:07 But the ones that are going to work might work really, really well, right?
    0:35:11 And what I just described you as literally what we do, it’s like, it’s the venture capital
    0:35:15 mentality, but it’s also, I think the best construct for thinking through how to engage
    0:35:17 with startups as a, as a big company.
    0:35:21 By the way, the other side of it is the temptation for thinking about like, you know, a new joint
    0:35:25 venture or a new investment or something, a new product is, you know, will it succeed
    0:35:26 or not?
    0:35:29 And so it’s like, and the traditional way you report this to the board is it’s like,
    0:35:31 you know, green light, yellow light, red light, like a famous management consulting
    0:35:32 shirt with like the bulbs, right?
    0:35:35 And you want all the lights to be green, and if any of the lights are yellow, people have
    0:35:36 very stern looks in their face.
    0:35:39 And if any of the lights are red, like as a disaster and somebody gets fired.
    0:35:40 And so, you know, it’s past fail, right?
    0:35:44 I actually think that the way that you want to think about this is, you know, it’s not
    0:35:45 a question of like, does it work?
    0:35:48 It’s a question of like, if it works, like how big can it get?
    0:35:50 Like if it works, how big of an impact could it have?
    0:35:53 So a new technology you might be looking at in your business that might be a new route
    0:35:56 to market or a new way to cut costs, a new way to cut costs.
    0:36:00 Like if it works, you know, if it costs good, does it cut a million dollars worth of cost
    0:36:02 or a billion dollars worth of cost, right?
    0:36:04 That might be the actual relevant question, right?
    0:36:08 So as opposed to just success, failure, and just the nature of these things is like they
    0:36:11 often, these experiments often don’t work, but when they do work, they can actually work
    0:36:12 really, really well.
    0:36:14 They can get really, really big and have a really, really big impact.
    0:36:19 And so, yeah, so that’s the general model is a portfolio approach and then an understanding
    0:36:23 and appreciation of the asymmetric nature of the winds relative to the odds that there
    0:36:24 will be some set of losses.
    0:36:25 Great.
    0:36:31 Silicon Valley has been pretty visible in movies and television, et cetera.
    0:36:36 You may have had a hand in some of that yourself in terms of advising some of these shows.
    0:36:37 No comment.
    0:36:40 Only the good ones.
    0:36:45 What do you wish that people that didn’t live here in Silicon Valley knew about Silicon
    0:36:46 Valley?
    0:36:47 It’s funny.
    0:36:48 I’ve been listening to the Elon Musk audiobook.
    0:36:51 He gives me a remember like before the Model S shipped, like everybody thought he was just
    0:36:52 completely full of it, right?
    0:36:54 And like he was going to make this car and just, there’s just like no way it’s impossible,
    0:36:55 can’t be done.
    0:36:57 And then this freaking car comes out, right?
    0:37:00 It’s like the Model S comes out and it literally wins like hard of the year awards everywhere.
    0:37:02 It has like the best safety rating of any car ever made.
    0:37:04 And there were all these people who were like, oh yeah, he’s a fraud.
    0:37:07 They’re literally mouse hanging open, like cannot believe it, right?
    0:37:10 And so that actually is kind of the more common story.
    0:37:14 And so the scientific and technical substance of what happens out here does tend to be quite
    0:37:15 real.
    0:37:17 But then the other side of it is what I said.
    0:37:18 These are experiments.
    0:37:24 Like if this stuff was a slam dunk, like if it was, if it’s obvious how to apply a scientific
    0:37:28 result into a technological product and then build a business around it, like big companies
    0:37:29 are going to do all that.
    0:37:32 Like there are lots and lots of big companies in the world, you know, in healthcare, outside
    0:37:35 of healthcare in the tech industry that are good at doing the obvious stuff.
    0:37:38 And so by the nature of the Valley, we’re doing the non-obvious stuff.
    0:37:40 We’re doing the stuff that’s not yet proven.
    0:37:41 We’re doing the stuff that’s controversial.
    0:37:43 We’re doing the stuff that really might fail.
    0:37:47 And so there is risk with each and everything that we do, whether or not it will work.
    0:37:50 But, God willing, when it does work, it could get really big.
    0:37:51 Wonderful.
    0:37:52 Thank you.
    0:37:55 So let me see if there are any questions in the audience that we could field.
    0:37:59 So we’re here today in a place that’s known as a center of innovation, but many of us
    0:38:04 have to go be agents for innovation and change in industries that aren’t necessarily as open
    0:38:05 to it.
    0:38:06 What’s your advice for that?
    0:38:09 How do you think about doing something innovative that you believe in, that you think will work
    0:38:11 when others might say, “Oh, we’re more traditional.
    0:38:13 This is the way things are done.”
    0:38:17 So there’s actually a term of art in the industry in the Valley for what’s called the
    0:38:18 evangelistic sale.
    0:38:19 And it’s actually really interesting.
    0:38:23 It’s like our companies come to market with a new product, a new widget that does something.
    0:38:26 They’ll go hire sales reps out of companies that sell normal products, and those sales
    0:38:29 reps will come in and they’ll just completely whiff, because they’ll get back this reaction
    0:38:32 from every customer, being like, “Yeah, I’m used to buying whatever Oracle database is
    0:38:34 from you, but I don’t know what to do with this new thing.”
    0:38:37 And then those sales reps actually don’t know how to sell that thing, and those marketing
    0:38:39 people don’t know how to market that thing.
    0:38:40 It’s a different kind of thing.
    0:38:44 And so there’s a specific kind of seller sales rep and marketing person out here, sort
    0:38:49 of the evangelistic seller, the evangelistic marketer, and honestly, I don’t know if there’s
    0:38:50 magic in it.
    0:38:52 It has to do with painting a vision, right?
    0:38:54 It has to do with painting a vision of the future.
    0:38:55 There’s the marketing.
    0:39:00 It’s sort of the Steve Jobs used to say, “The problem with consumer research is nobody knew
    0:39:04 they wanted a Macintosh, until the Macintosh, or until nobody knew they wanted an iPhone,
    0:39:07 like until the thing showed up, people can’t visualize new products on their own.”
    0:39:11 And so you have to paint a picture, and that picture has to be vivid, right?
    0:39:14 And this is where some of these guys like Elon get criticized for kind of overselling,
    0:39:15 but like they have to paint a vivid picture.
    0:39:16 That’s an example.
    0:39:18 So Elon comes out with a Model S, or he was a great example.
    0:39:22 Elon comes out with a Model S, “Congratulations, it’s a car that you plug into, specialized
    0:39:23 charging ports.”
    0:39:26 Well, how many specialized charging ports are out there that I can plug this car into?
    0:39:27 Zero.
    0:39:28 Okay, so now I’m going to buy a model.
    0:39:29 It’s like buying the first fax machine.
    0:39:31 It’s like, “Congratulations, I now have the first fax machine.
    0:39:32 Who can I fax?”
    0:39:35 You know, I now have a very expensive doorstop, like, you know, good job.
    0:39:38 And so like, so what Elon did when he launched the Model S is he painted a picture.
    0:39:39 You know, he painted a picture.
    0:39:40 He went up and gave a big presentation.
    0:39:44 He said, “Look, we’re going to put these supercharger stations, right, in all these different locations
    0:39:45 along all these freeways.”
    0:39:46 And he mapped the whole thing out.
    0:39:49 And he’s like, “Here, you’re going to be able to drive cross country, you know, and
    0:39:50 you’re going to get, you’re going to charge for free the entire way.”
    0:39:53 And by the way, none of those charging stations existed at that point, but he did, he did
    0:39:54 lay that vision out.
    0:39:57 And then he said, “Look, here’s the thing you’ll put in your garage, you know, and it’ll hook
    0:39:58 up and here’s how much it’ll cost.”
    0:40:00 And then, you know, within a year, he had the, you know, people were putting these things
    0:40:04 in their garages and he was putting the charging stations, the superchargers were up and like
    0:40:05 it worked.
    0:40:08 And then he sold enough of the cars into that vision that he was actually able to afford
    0:40:10 to build all those charging stations.
    0:40:12 And so it’s painting the picture in a way that people can believe.
    0:40:16 It’s painting the picture, by the way, also consistent with reality, like I believe, you
    0:40:20 know, there does have to be a substantive claim that the whole thing can work.
    0:40:23 And then I think, honestly, I think the other thing is it has to attach, maybe obvious, it
    0:40:26 has to attach to human psychology and this is the other thing that evangelistic sellers
    0:40:30 are really good at, which is, so in sales speak, the evangelistic sellers are really
    0:40:34 good at qualifying, which is there are certain customers where they’re just not going to
    0:40:35 do new things.
    0:40:38 Like where they’re just focused on downside risk, they want, you know, it’s like they
    0:40:42 go to work every day, they go home with their family, like I don’t want to do anything that
    0:40:43 might cause me to look bad and get fired.
    0:40:46 And that’s a completely legitimate, you know, way to operate and a lot of people are like
    0:40:47 that.
    0:40:50 And so the evangelistic seller, one of the things they do is they just qualify those
    0:40:51 people out.
    0:40:52 I’m not going to spend any time with those people.
    0:40:55 But what they find are the minority of people who are like, okay, like I don’t want to spend
    0:40:59 my career just protecting downside, I would like to become known as within my own company
    0:41:03 as somebody who’s innovative, right, and in the future.
    0:41:07 And I would like to basically stake a career bet myself right on a new technology and the
    0:41:08 nature of that career bet.
    0:41:09 If it doesn’t work, I’m going to look bad.
    0:41:12 But if it does work, wow, I’m going to look like a hero and I’m going to get promoted
    0:41:14 and I’m going to be the next CEO of the company.
    0:41:19 And so it’s kind of like the evangelistic seller meets the early adopter buyer who’s
    0:41:21 got the right psychological mindset.
    0:41:26 And then what’s super interesting actually is those people actually become very close.
    0:41:29 You know, the salesperson then becomes what we call a consultative seller, they become
    0:41:33 actually very tightly integrated into the lives of the sponsoring executives on the other
    0:41:34 side of the table.
    0:41:37 And they’re basically fundamentally trying to make each other heroes in their respective
    0:41:38 organizations.
    0:41:41 And they often end up extremely personally close because they’re on a shared mission
    0:41:42 to do something new.
    0:41:46 And so anyway, this is kind of what we advise our companies to do, but like that’s the
    0:41:47 process.
    0:41:51 And then it’s the process of like, okay, then it’s the gut check, which is like, okay,
    0:41:53 are those early adopters actually out there, right?
    0:41:55 Do they actually exist, right?
    0:42:00 Do they have the authority to actually make those kinds of decisions, right?
    0:42:03 Or at some point, by the way, if they don’t exist, that itself is an interesting market
    0:42:04 signal.
    0:42:06 Like if the early adopters don’t exist, it may just be time to start a new company in
    0:42:07 that market.
    0:42:11 So that’s the other thing that happens is the founders are like, oh, it’s like imagine
    0:42:14 being Travis Callan, I can try to start Uber and your first idea is I’m going to build
    0:42:17 taxi dispatch software and I’m going to try to sell it to taxi cab companies.
    0:42:20 And then you spend two years trying to get taxi cab companies to buy this taxi dispatch
    0:42:23 software and they all say, no, you might as, no, that isn’t literally what happened.
    0:42:25 But you could very easily imagine that happening.
    0:42:28 And so that is the other thing that emerges out of this is people just decide to start
    0:42:29 the company.
    0:42:32 What do you believe are some of the biggest challenges to getting new technologies and
    0:42:35 solutions adopted, particularly in the healthcare space?
    0:42:39 The general thing that happens, which is really relevant to all these healthcare markets,
    0:42:42 is the product works and I can’t get paid.
    0:42:46 One form of that problem is I just can’t get paid, literally the customer is not going
    0:42:48 to pay for this product because it’s going to be reimbursed.
    0:42:52 It’s a third-party model and it doesn’t matter how many patients want X if the insurance
    0:42:53 company is not going to pay for it.
    0:42:55 And so that’s a particularly stark example of can’t get paid.
    0:42:59 There’s another example of can’t get paid, which is I just can’t get paid enough.
    0:43:02 We have a lot of companies that have a problem that I call too hungry to eat, which is basically
    0:43:06 like, imagine a starving person 10 feet away from a plate of filet mignon, but like I’m
    0:43:09 starving and I don’t have the energy to pull myself to the plate.
    0:43:12 The Silicon Valley version of that is I have a great product.
    0:43:15 My customers really want it, but I’m charging very little money for it.
    0:43:19 Usually these are naive product founders who don’t quite understand business and so they
    0:43:22 think if they charge less, they’ll sell more, but they actually charge less, they end up
    0:43:23 selling less.
    0:43:24 And the reason is because they don’t charge enough for the product, they’re not getting
    0:43:26 enough revenue back into the company.
    0:43:30 They’re not getting literally enough calories back into the company, dollars into the company.
    0:43:32 And then they can’t afford to hire the kinds of sales and marketing people to do the kind
    0:43:34 of sale that we’re talking about.
    0:43:36 And then they just get stuck, right, they get stuck.
    0:43:40 It’s like the product works in theory, the customers want it in theory, but the company
    0:43:43 doesn’t have the internal funding, they’re not making enough money on each sale to be
    0:43:45 able to justify the cost of sale.
    0:43:48 And this is actually a very funny conversation I have with the founder, because it’s literally
    0:43:52 like the conversation is so weird, it’s like, okay, tell me about your product.
    0:43:54 Oh, it’s the best product ever, and machine learning and this and that, it revolutionizes,
    0:43:58 it’s going to save our companies $10 million each in saved expenses, and it’s okay, what
    0:44:00 are you charging for it?
    0:44:01 $50,000.
    0:44:04 It’s like, well, you’re going to save them $10 million, why are you only charging $50,000?
    0:44:06 Well, it’s going to be because it’s going to be easy to sell, like it’s, you know, it’s
    0:44:09 just going to, we’re going to sell it to the next customer, it’s like, well, what do you
    0:44:12 have to do to convince the customer to buy the thing that’s going to save them $10 million?
    0:44:15 And it’s like, oh, we got to send in, you know, eight people for, you know, six months.
    0:44:16 Well, what does that cost?
    0:44:18 Well, it costs a million and a half bucks.
    0:44:19 Right.
    0:44:20 Okay, so congratulations, right?
    0:44:25 You’re now down, you know, $1.45 million, a negative cash burn on every sale you make.
    0:44:26 That’s your strategy, right?
    0:44:28 And you’re going to make it up in volume, right?
    0:44:32 That’s just like, and literally what I’m describing is like literally what we see happens.
    0:44:35 And by the way, a lot of the time it’s actually the founder themselves who’s actually on site
    0:44:36 with the customer.
    0:44:38 And right, it’s like, what’s their time worth?
    0:44:39 Right.
    0:44:40 Because their time’s getting sucked down.
    0:44:43 It’s like the entire future of the company, right, is being basically bled out.
    0:44:47 And so like a big rule we have, a big thing we always have here, like the principle is
    0:44:52 like, you have to get paid, like the customer has to pay for the thing.
    0:44:54 If it’s an indirect thing, you have to, and this is the thing with, right, all the healthcare
    0:44:57 startups, like they have to be able to decode the system, right, which is why it’s so great
    0:44:59 to have you all here.
    0:45:02 And then on top of that, like you really do in a lot of cases, like the right answer
    0:45:06 actually is raise prices, which is weird because it’s like, well, technology is supposed to
    0:45:07 drive down prices.
    0:45:08 What are you doing?
    0:45:09 Raising prices.
    0:45:10 It’s like, well, you have to make enough money per sale.
    0:45:13 The internal economics of your business have to be such that you make enough money per
    0:45:16 sale that you can afford to actually build the company, right?
    0:45:17 And then you can build the company.
    0:45:18 You can build the sales and marketing engine.
    0:45:20 You can get the thing known and get the thing adopted.
    0:45:21 You can get references.
    0:45:23 And then once you’re at scale, then you can start to drive the price down.
    0:45:24 Yeah.
    0:45:28 And I would just add in the healthcare realm, and this is an overgeneralization, but what
    0:45:35 we often see is the business model failures are often a lack of recognition that the person
    0:45:39 who will benefit from your solution is often not the buyer.
    0:45:42 So you have sort of this mismatch that often happens in the healthcare system that you’re
    0:45:45 targeting your customer, but your customer, there’s a different buyer.
    0:45:49 So that’s a very difficult thing that can usually be addressed with business model,
    0:45:50 but it has to be recognized.
    0:45:53 The second one is point solution versus complete solution.
    0:46:00 It’s very hard for a startup to big bang an A to Z solution, but often times it’s what
    0:46:02 a buyer needs because they don’t need another point solution.
    0:46:07 So it’s figuring out what the insertion point is going to be for any particular innovation.
    0:46:11 And then the third one that we always see with a lot of our startups that they have to be
    0:46:16 very thoughtful as to how they approach it is recognizing how you can introduce a new
    0:46:20 technology without disrupting existing workflows.
    0:46:24 Because the job that happens in healthcare delivery is incredibly complex.
    0:46:27 So even if you have a better mousetrap, if that better mousetrap requires you to change
    0:46:30 the way you work, it’s very hard to implement.
    0:46:34 So those are, I think, the three big challenges that all of our entrepreneurs see from business
    0:46:35 model standpoint.
    0:46:38 So if you can overcome those, I think you have a much better chance of having an innovation
    0:46:39 get adopted.
    0:46:40 Thank you for having us.
    0:46:41 Thanks very much.
    0:46:42 Thank you, Mark.
    0:46:43 Thank you.
    0:46:43 [applause]
    0:46:44 [end of transcript]
    0:46:54 [BLANK_AUDIO]

    Back in 2011, a16z cofounder Marc Andreessen first made the bold claim that software would eat the world. In this episode (originally recorded as part of an event at a16z), Andreesseen and a16z general partner on the bio fund Jorge Conde (@JorgeCondeBio) take a look back at that thesis, and think about where we are now, nearly a decade later—how software has delivered on that promise… and most of all, where it is yet to come.

    In the wide-ranging conversation, the two partners discuss everything from the translatable learnings of software’s transformation of the music and automotive industries, to how software will now eat healthcare (including what exactly changed in the fields of bio and computer science to make Marc eat his own words!).


    The views expressed here are those of the individual AH Capital Management, L.L.C. (“a16z”) personnel quoted and are not the views of a16z or its affiliates. Certain information contained in here has been obtained from third-party sources, including from portfolio companies of funds managed by a16z. While taken from sources believed to be reliable, a16z has not independently verified such information and makes no representations about the enduring accuracy of the information or its appropriateness for a given situation.

    This content is provided for informational purposes only, and should not be relied upon as legal, business, investment, or tax advice. You should consult your own advisers as to those matters. References to any securities or digital assets are for illustrative purposes only, and do not constitute an investment recommendation or offer to provide investment advisory services. Furthermore, this content is not directed at nor intended for use by any investors or prospective investors, and may not under any circumstances be relied upon when making a decision to invest in any fund managed by a16z. (An offering to invest in an a16z fund will be made only by the private placement memorandum, subscription agreement, and other relevant documentation of any such fund and should be read in their entirety.) Any investments or portfolio companies mentioned, referred to, or described are not representative of all investments in vehicles managed by a16z, and there can be no assurance that the investments will be profitable or that other investments made in the future will have similar characteristics or results. A list of investments made by funds managed by Andreessen Horowitz (excluding investments for which the issuer has not provided permission for a16z to disclose publicly as well as unannounced investments in publicly traded digital assets) is available at https://a16z.com/investments/.

    Charts and graphs provided within are for informational purposes solely and should not be relied upon when making any investment decision. Past performance is not indicative of future results. The content speaks only as of the date indicated. Any projections, estimates, forecasts, targets, prospects, and/or opinions expressed in these materials are subject to change without notice and may differ or be contrary to opinions expressed by others. Please see https://a16z.com/disclosures for additional important information.

  • 16 Minutes on the News #6: Health Claims, Corporate Breaches

    AI transcript
    0:00:05 Hi, everyone. Welcome to the A6nZ podcast. I’m Sonal, and this is our sixth episode of 16
    0:00:10 Minutes, our new news show, where we cover recent headlines of the week, the A6nZ way,
    0:00:13 why they’re in the news, why they matter from our vantage point in tech,
    0:00:17 and share our experts’ views on the trends involved as well. You can catch up on past
    0:00:23 episodes at a6nz.com/16minutes or subscribe to it as a separate feed in your favorite podcast
    0:00:28 player app. This week, we have two episodes since we’ll be skipping next week. This episode covers
    0:00:32 two other topics that came up recently. The Capital One Preach, is it more of the same or
    0:00:37 different? How does it fit into the seemingly endless string of corporate hacks? But first,
    0:00:42 we dive deeper into recent news around healthcare claims data and insurance providers,
    0:00:48 which sounds boring, but is apparently not. Okay, so the first segment is on recent news
    0:00:53 that a number of big tech companies, including Amazon, Apple, Google, and Microsoft, are working
    0:00:59 with insurance companies in order to help provide claims data to patients. This came about at a
    0:01:04 developer conference hosted by a coalition called the Karin Alliance, which is basically a bipartisan
    0:01:10 multi-sector collaborative. That’s what they call themselves. It includes a lot of former
    0:01:15 national health coordinators, the US’s first health information technologies are, the US’s first CTO,
    0:01:19 the former secretary of health and human services, and a number of other people are working in this
    0:01:23 alliance. But the key point of this, and just to summarize the news before I introduce our
    0:01:29 A66 expert, is it’s the first time that healthcare providers are giving claims data to third-party
    0:01:34 developers. So just to summarize also some of the stats around claims data. So apparently,
    0:01:40 there are 4 billion prescription claims and 3 billion medical claims processed every year.
    0:01:46 And then in terms of the cost to the healthcare industry, $315 billion is spent on healthcare
    0:01:53 claims of which 35% is administrative waste or overhead. So now I’m going to introduce our
    0:02:00 A66 expert, Julie Yu, who is a former founder of a patient provider matching startup and is a deal
    0:02:05 partner on the A66 bio team who is focused on all things care delivery. Welcome, Julie.
    0:02:08 Great to be here. I’m so excited to hear from you because honestly, claims data is the most
    0:02:14 boring ethnic on the planet. Honestly. I think it’s very sexy. You do because it was a why. Tell
    0:02:18 me why it matters. At a higher level, the notion of data liquidity in healthcare, it’s almost an
    0:02:23 inevitability that it will eventually occur. But to see things like this is very exciting just
    0:02:27 because it’s making it all real. When we think about the consumer angle, oftentimes what you hear
    0:02:33 from consumers with regards to healthcare is it’s inconvenient. It’s slow and I never know what’s
    0:02:38 going on and it’s opaque and I never understand what things cost and transparency. And I think
    0:02:44 claims data specifically has a role to play in making all of that better. Why is that? What is
    0:02:48 it about claims data specifically? Because when I think of claims data, I think I have so many
    0:02:54 bills outstanding and late fees from labs because I go to the doctor’s office and the lab is a
    0:02:57 separate office and they have two different billing systems and then I’m like, what the heck?
    0:03:02 Yeah, exactly. So in very simple terms, claims are basically the invoices of healthcare. It’s
    0:03:05 the equivalent of if you were to go to a mechanic and get something done to your car, you’d get a
    0:03:09 list of the things that were done, how much they cost, et cetera. Now there are many different
    0:03:15 types of claims data. You mentioned lab data. There’s medical claims data, so services rendered
    0:03:20 by a physician or a nurse. Like in an office or hospital. Exactly, office visits, hospital visits.
    0:03:25 There are prescription pharmacy claims data, so drugs that are prescribed to you. Those can also
    0:03:31 be claims-based payments. And then there’s many different elements of claims data that we should
    0:03:37 be aware of. One is that claims because they take so long to process can be in very different states
    0:03:40 and depending on when you see a claim, you might see very, very different information.
    0:03:45 What do you mean by that? Like specifically? Yeah. So the average length of time that it takes to
    0:03:49 fully process a claim can be anywhere from two to three months, upwards of many, many months beyond
    0:03:53 that. And the reason for that is that the process involves, first of all, a provider submitting
    0:03:58 a claim to an insurance company saying here is what was done to this patient’s sonal for these
    0:04:03 specific line item services. And here’s what I think I should be paid. The insurance company then
    0:04:07 receives it. And by the way, that process of just simply receiving it could take weeks because there’s
    0:04:11 lots of middlemen, it could be a paper-based process, et cetera. And so then the insurance
    0:04:15 company finally receives it. And then ultimately, they need to adjudicate it. They need to determine
    0:04:20 whether or not this was a valid service per the contracts, per the benefit of the consumer,
    0:04:24 and therefore how much am I actually going to pay and then how much am I going to leave to be paid
    0:04:29 out of the pocket of the patient. And so that end-to-end process is very lengthy, involves many
    0:04:35 multiple players, intermediaries. And depending on when you see that claim in that entire cycle,
    0:04:39 as you can imagine, you might see very different information. So is it pre-adjudicated versus
    0:04:45 post-adjudicated? Is it sort of coming from the provider side? Is it on the insurance side, et cetera?
    0:04:50 So for instance, one of the major things that insurance companies have been very reticent
    0:04:56 around sharing is the full set of allowed amount data. And what that means is basically when a
    0:05:02 physician submits a claim, they will put their sort of billed amount. But contractually, they
    0:05:07 may have specific rates that are negotiated with the insurance companies. And releasing that into
    0:05:11 the public would obviously negate any negotiating leverage that they might have with providers
    0:05:16 in certain markets. That’s so helpful. I love the lay of the land, the context for how the claims
    0:05:23 work, the process. So now back to the news. Why does it matter that developers can develop on
    0:05:28 top of this? Like, it sounds like a very complicated system. People don’t have incentives to share,
    0:05:32 to be transparent. Like, there’s already enough middlemen. What does it help to have third-party
    0:05:36 developers in the middle here now? Yeah. Well, I think ultimately the beneficiary will be patients
    0:05:40 because these companies will ultimately be developing apps that are consumer-facing.
    0:05:45 And I think we can probably break down the benefits into two major buckets. One benefit is simply
    0:05:50 financial transparency. You can imagine like a mint.com of healthcare finally being built. There’s
    0:05:53 actually unfortunately sort of a graveyard of companies that have tried to do that in the past.
    0:05:58 And some of the challenges that those companies have faced are around, you know, the lack of
    0:06:02 liquidity of data. It’s funny that it’s a novel thing that, you know, all of a sudden the insurance
    0:06:06 companies are going to sort of buy into making APIs available to consumers because that data
    0:06:11 has existed in a B2B format for other companies. So the consumer thing is actually the real new
    0:06:15 thing because that patients can benefit through those apps. There are actually multi-billion-dollar
    0:06:21 businesses made on using claims data for other commercial purposes. One example that probably
    0:06:25 not so many people outside of the industry know about is claims data are actually used very heavily
    0:06:30 by pharmaceutical and life sciences companies. And the use case there is, you know, taking sort
    0:06:35 of the claims exhaust from insurance. The data exhaust, right? Yep. And using that to inform
    0:06:40 which providers see what types of patient populations. And that can be informative to
    0:06:44 everything from clinical trial recruiting, who are the physicians who are most likely to have
    0:06:49 patients where they can be recommended certain alternative therapies. And so that is a very
    0:06:54 robust industry that’s existed for decades. And that is actually a very liquid use of claims data.
    0:06:56 And what’s the other bucket? The other bucket is actually the health benefit.
    0:07:00 From claims? Well, this is the Holy Grail. And I think one of the interesting things about this
    0:07:04 announcement, it might be a nice to have that information, you know, just an ability to see
    0:07:09 what was done. But really, the Holy Grail is how can I move the needle on my health status?
    0:07:15 A lot of companies have also tried to use claims to make health claims. And that is not intended
    0:07:20 there. But there’s only so much you can see in a claim that can then imply what actually happened
    0:07:24 from a health care perspective. So it’s the equivalent of trying to infer, you know,
    0:07:28 how did the food taste based on seeing a restaurant receipt? So that’s really where
    0:07:34 the need for medical record data becomes very necessary, right? The actual clinical context
    0:07:38 around a given claim can tell you a lot more about the health status and therefore what you can do
    0:07:42 to move the needle on that. If you compare claims to medical records, claims are sort of the broad
    0:07:47 data that will give you a full, much more comprehensive set of information about what has
    0:07:51 happened to you, whereas the medical record and the other types of data we described are sort of
    0:07:55 the depth. So you get the breadth versus the depth as a baseline. You can provide sort of a
    0:08:00 scaffold, let’s call it, of the journey that a patient has had around their health condition
    0:08:04 at the starting point, which can then inform, okay, it looks like I should double click here
    0:08:07 and understand what happened around this particular event. So bottom line it for me,
    0:08:12 how should we think about this news in the broader context of health care and in particular where
    0:08:16 claims really fit in? Yeah, I think we should be very optimistic that this is yet another sign that
    0:08:21 data liquidity will be a basic piece of infrastructure within our industry. That said, I think this is
    0:08:26 only step one of many steps to come around really getting a holistic understanding at the consumer
    0:08:31 level about what’s going on with your health care. So if claims is like v1.0 of data liquidity,
    0:08:36 you know, actual medical records can be v2.0, but really what I’m excited about and what I think
    0:08:42 the whole industry is looking towards is the v3.0, which would be all of the sort of non-medical
    0:08:47 but health related content that actually can matter to us as consumers that we can control
    0:08:53 and use to drive our health outcomes. So it’s things like food. What is my social status?
    0:08:58 We’re now recognizing more and more that things like social isolation are huge contributors to
    0:09:05 negative effects on mental health and even things like GI issues have a huge mental health component.
    0:09:08 And so literally understanding what my social interactions are could have a huge impact on
    0:09:12 that. Well, thank you for joining the segment. Thank you so much. Okay. So the last segment
    0:09:17 this week covers the Capital One data breach and how corporate hacks happen. So let me quickly
    0:09:21 first summarize the news. First of all, Capital One is a financial services company and they
    0:09:25 do lots of things, including provide credit cards. They’re considered one of the 10 largest banks in
    0:09:30 terms of assets and they are the third largest credit card issuer and credit powers a lot of our
    0:09:33 financial system today. So if someone’s stealing that data is not so good. So what someone did is
    0:09:38 a hacked into a server holding the personal records of over 100 million people. And here’s
    0:09:44 what they stole. 140,000 social security numbers, 80,000 bank account numbers, 106 million credit
    0:09:49 card applications from between 2015 to 2019, according to the company. It’s one of the largest
    0:09:54 data thefts from a bank ever. It cost estimated cost right now is about 150 million just for
    0:10:00 context compared to the Equifax credit bureau breach of 2017. That one exposed a sensitive
    0:10:05 information on over 147 million consumers and it costs way more about 650 million and they just
    0:10:10 settled claims for that about two weeks ago. So that’s a quick context for the news. Let me
    0:10:15 introduce our A6NZ expert Joel de la Garza, who is our operating partner for security, was a former
    0:10:20 CSO Chief Security Officer at BOX. He’s actually investigated a lot of breaches. He was responsible
    0:10:25 for incident response for Deutsche Bank and Citigroup. And in his career has worked on
    0:10:29 over 100,000 security incidents. Welcome Joel. Thank you. It’s good to be here.
    0:10:33 So there’s a lot of data breaches. So I almost felt like, why are we even doing this as a news
    0:10:38 item? It feels like it’s the same old story over and over again. What is different or unusual if
    0:10:42 anything about this one? Well, the interesting thing about this one is that Capital One has
    0:10:46 long been kind of the most, one of the most sophisticated, most secure adopters of cloud
    0:10:51 technology. I think they were probably the first large financial service to actually move to using
    0:10:55 cloud services. They really leaned into a lot of these technology trends and they’ve transformed
    0:11:00 the way that they build and roll out their business. And so for someone who is so sophisticated
    0:11:04 to have a breach of this magnitude happen to them on their new platform is actually quite
    0:11:09 a stutter. And what actually happened just in the details is that apparently the hacker got in,
    0:11:13 it was a 33-year-old hacker from Seattle, a software engineer. She got in through a firewall
    0:11:17 misconfiguration and they themselves are speaking of them being a leader in cloud services,
    0:11:23 RNAWS, Amazon Web Services. But apparently the underlying cloud services were not compromised.
    0:11:26 Can you give us some more details on how the hack happened? Well, I think that the indictments that
    0:11:30 were released by the US government were fairly detailed, but they don’t provide all of the kind
    0:11:35 of relevant points. And there’s been a lot of speculation about what the underlying causes
    0:11:40 are. And folks are trying to make this sound similar to a lot of breaches and a lot of other
    0:11:43 kind of scenarios that impacted other companies. And so I think people are filling in the blanks
    0:11:48 and we still don’t really know the details. Right. But at a high level, it sounds like
    0:11:52 there were some pretty sharp edges in the way that this cloud service provider’s configuration
    0:11:57 for a product worked and the configuration was not set appropriately. And so that allowed for
    0:12:02 an issue where internal services could be exploited, data could be exfiltrated.
    0:12:05 It’s a fairly common occurrence that’s happened to a lot of companies this year.
    0:12:09 You said that it’s actually sometimes hard to tell that the information hasn’t really come out.
    0:12:12 And then one of the lines I used to love saying, and I continue to say when we talk about hacks,
    0:12:16 is that attribution is hard. It’s hard to figure out who did it, who done it.
    0:12:21 Well, it’s hard until it isn’t, right? I think with this situation, we’ve got a computer intruder
    0:12:25 that was bragging about the activity that they had done. And they were engaged in several very
    0:12:31 prominent hacker channels taking credit for their activity. And they actually had posted some of
    0:12:36 Capital One’s data to a publicly available GitHub repository. Another security researcher was out
    0:12:41 there looking through GitHub Repose and found Capital One’s data and turned around and reported
    0:12:45 it to Capital One. Well, the thing that’s funny to me, even though it shouldn’t be funny, the FBI
    0:12:50 noticed her activity on Meetup and she posted comments on Twitter and Slack of all places.
    0:12:53 How does this fit in the overall taxonomy of corporate breaches? We keep hearing about one
    0:12:57 every year. Target, Equifax, the list goes on and on. So in the old days, when things were
    0:13:01 predominantly on-prem, people were running their own servers. On-premises, right? On-premises.
    0:13:05 As opposed to software as a service or cloud-based. As opposed to SaaS or cloud or whatever the case
    0:13:10 may be. In those days, breaches typically happened because software patches weren’t applied
    0:13:14 or someone gave away their username and password. And that was kind of how we got most of the large
    0:13:19 breaches. Equifax was the result of a software patch that hadn’t been applied that allowed the
    0:13:23 hackers to get into the network and exfiltrate the data. As we’ve moved to the cloud world,
    0:13:27 we’ve gotten out of the need to patch a lot of this stuff, right? Cloud solves a lot of these
    0:13:32 problems. The number one source of breaches now seems to be misconfiguration. That’s something
    0:13:35 we’ve been noticing for the last couple of years. It’s actually one of the forecasts that we made
    0:13:40 earlier this year looking at all the data that these kinds of configuration issues will be the
    0:13:44 things that drive breaches into the future. And with this category of configuration issues,
    0:13:47 what does that mean? Just in this case, it was supposedly firewall misconfiguration.
    0:13:50 Why wouldn’t a cloud service provider just set it all universally for everyone?
    0:13:56 So they are in the process, and Amazon has made, and Amazon, Google, and Microsoft have made a
    0:14:03 lot of attempts to make a lot of these tools more easy, intuitive, and just more rapidly to be deployed.
    0:14:07 But one of the challenges is when you’re a large cloud service provider, you’re trying to hit the
    0:14:12 right balance between safety and security, ease of use, and features, right? And I think what generally
    0:14:16 happens with security in the cloud world, having come from box and worked through a lot of these
    0:14:20 problems, is that you have to find that balance between ease of use and security.
    0:14:24 So a high-level understanding of how this breach occurred is that there was some kind
    0:14:29 of a misconfiguration on a web application firewall provided by a cloud vendor. Now,
    0:14:33 none of the products are specified. None of the vendors are specified. But there was basically
    0:14:39 a misconfiguration on a web application firewall that somehow exposed internal resources, right?
    0:14:44 Resources that were not supposed to be available to the public. And this person found those internal
    0:14:49 resources, was able to access them from the outside, and then exploit them in such a way
    0:14:53 that they were able to take more data from them. Right. Isn’t that pretty common, if I recall,
    0:14:58 because I covered the AT&T breach back in 2012. I even edited an op-ed from Weave of all people,
    0:15:03 but isn’t that what he did kind of hacked into the AT&T thing? Yeah, this is a fairly common. I mean,
    0:15:08 the traditional way that you would build these sorts of applications and build this infrastructure
    0:15:13 is that you have transitive trust relationships. So it’s the idea that I’ve got this hard perimeter,
    0:15:18 this really solid firewall and perimeter that keeps people from getting in. And inside that
    0:15:23 perimeter, it tends to get softer, right? So services are available. Things can talk to each
    0:15:26 other that you wouldn’t want to have happening on the internet. Which enables collaboration and
    0:15:29 people to work together. Which enables collaboration, rapid deployment, all sorts of really interesting
    0:15:34 things. However, the moment you breach that perimeter, you expose these internal services
    0:15:38 and your data can be exfiltrated, right? And so the mood now, and generally in the industry,
    0:15:42 people are moving towards what’s called a zero trust approach, which is to remove the concept
    0:15:48 of having this perimeter, remove the concept of a firewall, just assume there’s no trust in any
    0:15:51 environment and build your services according to that kind of a model. But won’t that be hard for
    0:15:56 people wanting to collaborate and balance all the security usability convenience that you talked
    0:16:00 about? I mean, you could argue that actually, once you start to build security in, you actually make
    0:16:06 it a design requirement along with ease of use, along with interoperability, that you can actually
    0:16:09 make sure that all those requirements are met. And if you look at really successful software
    0:16:15 companies now, they start with security built in until security is baked in hard. What can companies
    0:16:20 do to protect themselves? The first is obviously choosing quality vendors, making sure that you
    0:16:24 appropriately vet your third parties. I think in this specific case, right? How do you prevent
    0:16:29 these sorts of things from happening? The fact that so many people were able to infer exactly
    0:16:33 what happened in this specific breach means that it’s been happening out in the community for
    0:16:38 some time. And this is just a further supports the case that we need to have better collaboration
    0:16:42 around information security, better collaboration around security breaches, that things like this,
    0:16:47 that these attack vectors are shared throughout the community and that people can take the
    0:16:51 appropriate steps to protect themselves. So bottom line it for me, Joel, how should we think about
    0:16:54 this Capital One breach and the context of all the other breaches and the taxonomy of breaches?
    0:17:00 Well, I think the unfortunate truth is that if something like this can happen to Capital One,
    0:17:03 who’s probably one of the best in the business, it can happen to anyone. And so we’re going to
    0:17:07 continue to see this kind of an activity. We’re going to continue to see these breaches. And we’re
    0:17:11 going to have to really think hard about who we as a people want to protect our data and want
    0:17:14 to think about data privacy. Fantastic. Well, thank you for joining this segment.

    with @julesyoo @smc90

    This is episode #6 of our new show, 16 Minutes, where we quickly cover recent headlines of the week, the a16z way — why they’re in the news; why they matter from our vantage point in tech — and share our experts’ views on these trends as well.

    This week we cover, with the following a16z experts:

    • health claims, insurance & big tech, and healthcare data liquidity — with a16z bio partner Julie Yoo;
    • Capital One data breach, cloud security, and corporate hacks — with a16z operating partner for security Joel de la Garza;

    …hosted by Sonal Chokshi.

  • 16 Minutes on the News #5: Fed Real-time Payments, Death of Retail

    AI transcript
    0:00:05 Hi, everyone. Welcome to the A6&Z podcast. I’m Sonal, and this is our fifth episode
    0:00:11 of 16 Minutes, our new news show, where we cover recent headlines of the week, the A6&Z
    0:00:15 way, why they’re in the news, why they matter from our vantage point in tech, and share
    0:00:19 our experts’ views on the trends involved as well. You can catch up on past episodes
    0:00:25 at a6&z.com/16minutes or subscribe to it as a separate feed in your favorite podcast
    0:00:30 player app. This week, we have two episodes, since we’ll be skipping next week. This episode
    0:00:34 covers these two topics that came up in the news, a quick take on Barney’s filing for
    0:00:40 bankruptcy and what that means in the context of the death of retail. But first, we go deeper
    0:00:45 into the Federal Reserve announcing FedNow, which is a much bigger deal than it seems.
    0:00:46 What, why, and how?
    0:00:52 Okay, so the first segment this week covers some news that came out of the Federal Reserve,
    0:00:56 which is that just this week, they announced that they are going to create something called
    0:01:03 FedNow, a real-time payment service, so it would be open 24/7 days a week, that would
    0:01:08 allow people to get access to their checks faster. And even though it was announced this
    0:01:13 week, it actually is not out there in the wild yet. It aims to launch in a few years.
    0:01:17 And just to give you some more context, this is really targeted for over half the population
    0:01:21 who live paycheck to paycheck and need access to their money sooner. And right now, they’re
    0:01:26 forced to pay a lot of late fees and overdraft fees. I mean, overdraft fees alone were $34
    0:01:32 billion in just the last year alone. And of course, many big banks are lobbying to stop
    0:01:37 this, and some of them have an alternative that they’ve proposed. Citibank, US Bank Corp,
    0:01:43 and JP Morgan Chase have their own instant payment system, which was launched in 2017
    0:01:47 and operated by Clearinghouse Payments. Now, let me introduce our expert, A-60s General
    0:01:52 Partner, Angela Strange, who is on the Fintech team. Welcome, Angela.
    0:01:54 Thank you. Happy to be here.
    0:01:57 So let’s first talk about this news. Like, first of all, is it really news?
    0:02:01 This is actually a very important announcement. So for the, you know, call it top half of
    0:02:05 the population, like, from a personal day-to-day use, like, you probably don’t care. Like,
    0:02:09 you use your credit card most of the time, you never hit zero in your bank balance. If
    0:02:12 someone gives you a check and you’re waiting for it to clear, like, you probably don’t
    0:02:17 notice if it clears in two days or four days. Like, that doesn’t matter. But for the other
    0:02:22 half of the population, like, there’s more than 40% of Americans that don’t have $400
    0:02:28 in savings. You’re living paycheck to paycheck. You care very, very much when funds hit your
    0:02:33 bank account. And right now there are these totally unpredictable, untransparent delays.
    0:02:38 Like, just for instance, your company decides to pay you and they send the notification
    0:02:42 to the Federal Reserve. And if you’re a contractor and you’re getting paid by check, that check
    0:02:46 could take two days to clear. If you’ve had a bunch of overdrafts in your account, it
    0:02:50 could take seven days to clear. So everyone that lives like this is in their head doing
    0:02:54 this juggling act of, okay, my paycheck is going to land in two days. I just put out
    0:02:58 my rent check, but I posted for a few days. So maybe I can afford to pay my cell phone
    0:03:02 bill. This check that I deposited, maybe that’s going to land. And oh, by the way, every time
    0:03:07 you screw it up, it’s a $30 overdraft fee. Do you have this whole unpredictable juggling
    0:03:11 act that every time you screw it up, it costs you money? And so I think we should very much
    0:03:18 care because while this does sound like a nuanced regulatory issue, it’s probably the
    0:03:21 biggest financial regressive tax that we have in the US.
    0:03:25 Just for broader context, how does this compare to the rest of the world?
    0:03:28 The UK’s had faster payments for the last 10 years. I heard somebody compare it to these
    0:03:33 like, I’ve had 10 versions of the iPhone since faster payments came out in the UK and we
    0:03:37 still don’t have in the US. It’s in Singapore and Canada and Mexico and so many, many, many
    0:03:42 countries are just leap years ahead of the US. Now, if you look at what do the rails
    0:03:46 look like in the US, obviously you’ve got Visa and MasterCard and they take a percentage
    0:03:50 of transactions. Luckily, you’ve got all the peer-to-peer networks that have come out,
    0:03:55 Venmo and SquareCache, and the likes and those actually operate fairly instantly, but they’re
    0:03:57 using ACH.
    0:03:58 What’s ACH again?
    0:04:03 The Automated Clearing House. That’s basically what we have. And the best comparison I think
    0:04:11 is comparing like ACH is snail mail to faster payments is email. And it’s literally almost
    0:04:17 analogous. ACH batches all of the payments and this is great for banks because tiny payments,
    0:04:21 small payments, it’s all sent off usually once per day. And the big innovation there
    0:04:26 is, oh, sometimes we’ll batch them twice per day, which is a far cry from real-time payments.
    0:04:31 Your point is that we might dismiss real-time as like a minor feature improvement if you
    0:04:34 don’t really understand the scope of the problem, but actually if you do understand the scope
    0:04:38 of the problem, this is extremely significant that you can actually go faster and current
    0:04:39 technology is not serving it.
    0:04:44 What’s interesting here, and you mentioned this, is that we actually do have a real-time
    0:04:50 payment network of sorts in the US. So the 26 largest member banks own or are part of
    0:04:55 an association called the Clearing House. And they launched real-time payments in 2017.
    0:04:56 And why is that not working?
    0:05:02 For it really to work, you need all 10,000 financial institutions on this network.
    0:05:04 And that includes smaller banks?
    0:05:09 Smaller banks, regional banks. If you think like who needs this most, it’s probably not
    0:05:13 the people that are banking at the major parts of major banks. And this network does cover
    0:05:21 50% of direct deposit accounts, but not broad enough. So then you ask, okay, so what’s stopping
    0:05:25 all of the smaller banks from just joining the network? Because like definitely the Clearing
    0:05:31 House wants everybody to get on board. And it’s two things. One, the Fed for a very
    0:05:35 long time has been making noises that they are going to get into the real-time clearing
    0:05:36 business.
    0:05:37 Which they clearly just made a louder noise.
    0:05:41 Which they clearly just did. And there’s a precedent. Like 40 plus years ago, they
    0:05:46 got into the ACH business. So there’s actually two ACH networks. And the people that support
    0:05:50 this say it’s good to have competition, and that this is such a critical service to the
    0:05:55 nation that you would want not just a private network, you actually want the government involved.
    0:06:00 So then if you’re a small bank, you’re like, okay, do I spend the expense to get involved
    0:06:04 in this network? Well, I’m just going to wait to see what the Fed is going to do. And then
    0:06:10 the other piece is just a lack of trust of joining a network operated by larger banks.
    0:06:14 You’re like, well, am I going to get priced out of being able to do these real-time payments?
    0:06:20 But the big policy debate is right now the Fed provides both a operational rule and a
    0:06:25 regulatory rule. There are people arguing that just do the regulatory rule, and why don’t
    0:06:30 you regulate that this technology run by the Clearinghouse that already exists can’t charge
    0:06:35 exorbitant fees. You should regulate that everybody has to join. Like this technology
    0:06:42 is already here. And so that could, if it was done, get this real-time network going
    0:06:47 much faster than Fed now, which is now being called Fed five years from now because it’s
    0:06:50 going to launch since 2023 and 2024.
    0:06:54 When I hear that kind of conundrum of do you have them regulated or wait for it?
    0:06:58 I’m sort of wondering, why would we do either? Why aren’t there other alternative technologies
    0:07:01 that can solve this problem? I want to know where tech comes in in this.
    0:07:05 You need both the technology, but the harder piece to do is you need to get everybody to
    0:07:11 participate in this network. They should figure out a regulatory framework to get more people
    0:07:15 on the technology that already exists and get this problem that we’re talking about
    0:07:22 that penalizes half of our population fixed faster while also building their network. Could
    0:07:29 a new startup come in and create a new real-time rail? Not in the same way because what the
    0:07:33 real-time rail is saying they’re going to do is interconnect the 10,000 financial Fed
    0:07:38 reserve institutions together. So we do have things like peer-to-peer networks, and this
    0:07:42 is where PayPal and Venmo and those come in, but that’s very different from, I bank at
    0:07:47 Community Bank in Kansas, and I need to have my checks clear immediately.
    0:07:52 And so what FinTechs are doing is they’re figuring out how to solve point problems that
    0:07:58 are very, very valuable to consumers. So for instance, if you’re living paycheck to paycheck,
    0:08:03 you are watching by the hour when your paycheck lands. And what most people don’t know is
    0:08:08 that banks are holding on to their paychecks or not delivering them as fast as possible.
    0:08:13 So for instance, your bank will get the notification that your employer has told the Federal Reserve
    0:08:18 that they’re going to pay you X dollars. Those X dollars won’t land in your bank account
    0:08:23 for another two days usually. So there’s a startup that can see that is your bank and
    0:08:29 they can see that your employer has said, “Hey, pay Sonal $500 and they’ll give you $500
    0:08:33 immediately. You don’t have to wait two days.” Even beyond that, you could argue that if
    0:08:39 you’re working eight hours a day at Panera Bread, for instance, it is somewhat anachronistic
    0:08:43 that you can only get paid on the first of the month and the 15th of the month, even though
    0:08:46 you’re earning eight hours times your hourly wage every single day.
    0:08:49 If I’ve worked four days of that week and therefore I should be able to get paid at
    0:08:50 least those four days.
    0:08:52 Or if there was no cost in payments, like why aren’t you just getting paid at the end
    0:08:53 of every day?
    0:08:54 That’s a good question.
    0:08:59 Exactly. So the reason that’s not the case is infrastructure. So startups like Ernin
    0:09:04 are enabling people to get access to money that they’ve already earned in a much more
    0:09:05 frequent manner.
    0:09:08 So that was super helpful for understanding the nature of the problem. Tell me a little
    0:09:11 bit more about why the Fed is even involved with checks in the first place, because every
    0:09:15 time we talk about the Federal Reserve and checks, I’m so confused at why this cannot
    0:09:18 just be handled at whoever holds the money is where the money comes. Why is there even
    0:09:22 this player involved? I don’t know how a check is cashed.
    0:09:27 So the Fed is involved in regulating most aspects of payments. Let’s say I write you
    0:09:33 a check and I have $0 in my bank account. If your bank gave you that money, then they
    0:09:37 would then pull it back from you and the whole system would just be a mess. So someone needs
    0:09:42 to make sure it’s called good funds are actually available on both sides. And so it is for the
    0:09:48 protection of both consumers across the side. The problem is that this system was invented
    0:09:53 literally back in the days when people wrote checks and you would have to mail them to like
    0:09:56 a previous instance to the institution where they were coming from to make sure that you
    0:10:00 could actually check that the funds existed and then send it back. And so just the infrastructure
    0:10:04 has not progressed to where it should today technology is today, like the big innovation
    0:10:07 on checks is, you know, that bar at the bottom where now they can be electronically led and
    0:10:11 you can, you can send it back and forth, at least the checks electronically, but we’ve
    0:10:13 got a long, like we can progress a long way from there.
    0:10:18 Okay. So that’s great, Angela, super helpful context. So bottom line it for me. How should
    0:10:22 we think about this recent news announcement about Fed now? Or as you said, Fed five years
    0:10:24 from now, how should we think about it?
    0:10:33 I think we should be excited and push towards our industry making a much faster move towards
    0:10:37 real time payments. And I think if the broader population really understood who this was
    0:10:42 affecting most, which is the more than half the population that live paycheck to paycheck,
    0:10:48 there would be more pressure on either banks to join the existing network and the existing
    0:10:53 network to behave well and treat everybody fairly. And for the Fed, if they decide to
    0:10:58 go their direction to move as quickly as possible, while also maybe regulating faster participation
    0:11:02 in the existing network such that we can, to be honest, catch up with the rest of the
    0:11:03 world who’s been here for over a decade.
    0:11:06 Thank you, Angela, for joining this segment.
    0:11:07 Thank you for having me.
    0:11:12 Okay. Our next segment on 16 minutes on the news is about the death of retail, given the
    0:11:19 news that iconic retailer Barney’s filed for Chapter 11 bankruptcy this past week. So just
    0:11:23 to give the specifics and quickly summarize what the news is, Barney’s plans to close
    0:11:28 15 of its 22 locations, which means it then only has seven remaining stores, including
    0:11:32 its flagship on Madison Avenue. Barney’s, and this is what makes it even sadder, is
    0:11:37 that it’s been around since the Great Depression and they were pioneers for trends such as
    0:11:43 relaxed suits and menswear. So by bringing Armani to the U.S., putting perfumes in the
    0:11:47 back of the store instead of in the front of the store and most iconic of all, building
    0:11:51 windows instead of covering walls with extra racks. So these are some of the things that
    0:11:55 Barney’s has done. And Barney’s has actually filed for Chapter 11 bankruptcy before in
    0:12:00 1996, when they fell out with some of their investors. But this year’s filing is due to
    0:12:06 higher rent, obviously, more online retail shopping and direct-to-consumer marketing,
    0:12:12 all of which are connected to tech. So now, let me introduce our A6NZ expert, Jeff Jordan,
    0:12:16 general partner, managing partner, and a deep expert on all of this. Welcome, Jeff.
    0:12:20 Thanks. It was great to be here. So you’re the person I want to tell me how to think
    0:12:23 about this news. Like, is this more of the same? Is it something new?
    0:12:28 I mean, I should point out that Barney is also a dinosaur. And unfortunately, the offline
    0:12:32 retail, a lot of them are dinosaurs. I mean, actually, I first started blogging about this
    0:12:39 and I went back and looked today, 2012, about e-commerce, taking chair and being advantaged
    0:12:46 over offline commerce. And so there’s just been a steady drumbeat of bankruptcies, restructuring,
    0:12:49 closings. And unfortunately, I don’t think it’s going to stop.
    0:12:50 Really?
    0:12:51 I think it’s long.
    0:12:54 I thought Barney’s had a chance because in this world of e-commerce, a lot of these
    0:12:59 physical stores would have a really special role to play, especially in showrooming and
    0:13:04 being able to really have a customer experience. And the trend is more now towards experiences.
    0:13:05 So why Barney?
    0:13:11 What retail chains, physical retail chains are really highly leveraged. They take enormous
    0:13:17 amounts of capital and they have enormous, basically fixed costs, rents of fixed costs,
    0:13:23 inventory is a quasi-fixed cost. And if sales start declining, they can go from profitable
    0:13:27 to unprofitable extraordinarily quickly. And I actually watched this happen at the Disney
    0:13:32 stores. When I was there, Disney stores were minting money. And then they did a different
    0:13:37 strategy. The top line went down 5, 10% and they started hemorrhaging money.
    0:13:39 But it wasn’t because of online or it was just a different strategy?
    0:13:43 That was a different strategy. That for me was self-inflicted. New management came in
    0:13:49 and tried a different strategy that didn’t really work. Just the 5, 10% change in the
    0:13:54 top line made the chain go from profitable to unprofitable. So as e-commerce nibbles
    0:14:01 away at share, all the stores in aggregate lose a little bit of sales and at some point
    0:14:03 they just become unviable.
    0:14:07 The flexibility and opportunity that software-based companies have is that they don’t have the
    0:14:11 legacy of fixed costs, which is the dinosaur around the neck, the albatross around the
    0:14:12 neck.
    0:14:17 Yeah. I mean, now e-commerce has other problems, which is largely showrooming also happens
    0:14:24 off online. If you want to price shop, you can price shop. And then competition for the
    0:14:31 same consumer and that window shopping caps the opportunity for online players to recharge
    0:14:32 a lot.
    0:14:38 So one of the most baffling things is that there are only a few true winners in e-commerce
    0:14:42 in the United States, but no one’s making money. They’re just all competing for the
    0:14:44 same consumer with essentially the same product.
    0:14:47 So nothing works? Is there any place where it does work?
    0:14:53 So grocery is the largest single category of U.S. retail, more than apparel, more than
    0:14:59 personal care, things like that. And it had historically been completely immune to digitization.
    0:15:05 So Webvan was the iconic failure of trying to do groceries electronically. The big difference
    0:15:10 in groceries is the inventory is better served being close to the consumer. And so what
    0:15:14 grocery chains are essentially are distributed warehouses.
    0:15:21 Physical grocery is a way to combine kind of a hybrid, both offline and online, helping
    0:15:27 the grocery chains around the world deliver to people in their area. Fred Smith famously
    0:15:32 said when the internet came, he didn’t think groceries could be delivered through the internet
    0:15:38 because you put your eggs in a truck and it bounces around all day and it comes 10 hours
    0:15:41 later or whatever. That doesn’t work. It does work if it’s the grocery down the street.
    0:15:45 Okay. So bottom line it for me. How should we be thinking about all of this news that
    0:15:49 the retail people have been talking about it for years? On one hand, I see lots of lots
    0:15:53 of cars in the parking lot and all the malls. On the other hand, I see news of bankruptcy
    0:15:56 and I also see a lot of internet shopping going on.
    0:16:01 What you’re seeing is the best malls and the best stores continue to thrive. Now all the
    0:16:06 marginal chains and the marginal malls are closing. I did a blog post years ago about
    0:16:11 the demalling of America because if all the stores dies, the malls end up dying. And my
    0:16:15 favorite quote was a REIT owner who said we’re not real estate investment trust. Yeah, real
    0:16:19 estate investment trust. He goes, we’re not over-building malls. We’re just under demolished.
    0:16:23 Malls are being repurposed. They’re either being torn down or they’re being repurposed
    0:16:28 into town centers, but yeah, that’s changing. In a previous episode, we talked about how
    0:16:32 eSports are now taking over certain malls. So who knows what the future here is. Yeah,
    0:16:37 it could be. Yeah, that’s Stanford eSports Center. Thank you for joining, Jeff. It’s
    0:16:38 a pleasure. Thank you.
    0:16:48 [BLANK_AUDIO]

    with @astrange @jeff_jordan and @smc90

    This is episode #5 of our new show, 16 Minutes, where we quickly cover recent headlines of the week, the a16z way — why they’re in the news; why they matter from our vantage point in tech — and share our experts’ views on these trends as well.

    This week we cover, with the following a16z experts:

    • Federal Reserve real-time payment and settlement service FedNow, the U.S. payments rail, and fintech — with a16z general partner Angela Strange;
    • Barney’s bankruptcy, the ”death of retail”, and ecommerce — with a16z general partner Jeff Jordan;

    …hosted by Sonal Chokshi.

  • 16 Minutes on the News: The Opioid Crisis

    AI transcript
    0:00:03 Hi, everyone. Welcome to the A6NZ podcast.
    0:00:06 I’m Sonal, and I’m here today with the fourth episode
    0:00:08 of our new short form new show, “16 Minutes,”
    0:00:10 where we cover recent headlines
    0:00:12 the A6NZ way offering expert takes
    0:00:14 on the trends involved in more.
    0:00:16 You can follow the show in its own feed
    0:00:18 in your favorite podcast player app.
    0:00:21 Our other episodes cover multiple news items and topics,
    0:00:23 but this week, we’re doing two separate,
    0:00:26 but short, deep dives connected to recent headlines.
    0:00:28 One on eSports gaming and the future of entertainment,
    0:00:30 which you can find in this feed,
    0:00:33 or at a6nz.com/16minutes.
    0:00:34 And this episode,
    0:00:38 which is on a sad but important topic, the opioid crisis.
    0:00:39 Just to quickly sum up,
    0:00:42 the issue of the opioid crisis has been around for years,
    0:00:44 which is at this prescription opioid epidemic
    0:00:46 that resulted in nearly 100,000 deaths
    0:00:50 from 2005 to 2012, and what makes it even sadder
    0:00:52 is that it just proportionately affected people
    0:00:54 from regions that are underserved economically,
    0:00:56 for instance, Native American tribal regions,
    0:00:58 towns in West Virginia, and so on.
    0:01:00 For what opioids are, as a reminder,
    0:01:01 remember the word opium?
    0:01:03 There are a class of drugs that include
    0:01:05 heroin, fentanyl, pain relievers like OxyContin,
    0:01:07 Vicodin, Codine, Morphine,
    0:01:08 and most of those are pain relievers
    0:01:11 that are legal and available by prescription.
    0:01:13 This crisis has been around for years, but here’s the news.
    0:01:15 The Washington Post and the publisher
    0:01:17 of the Charleston Gazette Mail,
    0:01:18 which is a West Virginia paper,
    0:01:21 one of the regions that’s most impacted by this crisis,
    0:01:24 waged a year-long legal battle and won a court order
    0:01:28 for access to the Drug Enforcement Administration’s database,
    0:01:29 which is this Automation of Reports
    0:01:32 and Consolidated Orders, it’s the ARCOS database.
    0:01:35 And basically, the Washington Post’s work helps visualize
    0:01:38 how much specific drugs went to individual states
    0:01:41 and counties, and who the top distributors,
    0:01:43 manufacturers, and pharmacies that were involved.
    0:01:46 And according to the Post, high-level findings,
    0:01:49 just three companies manufactured about 88% of the pills,
    0:01:52 and just six companies distributed 75% of them.
    0:01:54 And over the past couple of weeks,
    0:01:55 a number of lawsuits have been filed
    0:01:56 as a result of those findings.
    0:02:00 Arizona just filed a case against a maker of oxycontin.
    0:02:02 Unusually, they did it directly at the Supreme Court level,
    0:02:05 while towns and cities are suing pharmacies
    0:02:07 like Walmart, CVS, and Walgreens.
    0:02:09 In fact, nearly 2,000 cases have been brought
    0:02:11 as reported by the New York Times.
    0:02:14 And their headline for that story, by the way,
    0:02:16 was so perfect and so starkly sad.
    0:02:21 3,271 pill bottles, a town of 2,831.
    0:02:25 So that’s a high-level summary of what’s going on,
    0:02:27 what’s in the news.
    0:02:29 I’d like to now welcome A-6 and Z-Bio,
    0:02:32 general partners Jorge Conde and Vijay Pandey
    0:02:34 to talk about their views on this
    0:02:35 from their vantage point.
    0:02:36 Welcome, guys.
    0:02:37 – Thank you.
    0:02:39 – So one bit of color from that New York Times story
    0:02:42 that is just so vivid and heartbreaking.
    0:02:45 One county in Ohio resorted to a mobile morgue
    0:02:47 just to handle all the corpses from people
    0:02:50 who died from overdoses, which is so sad.
    0:02:51 And as with all such things,
    0:02:54 science and technology is not living a vacuum
    0:02:56 and plays out against a broader structural context.
    0:02:58 So I want to acknowledge that,
    0:03:00 that we’re going to be focusing on a specific angle,
    0:03:02 but really this is a huge problem
    0:03:04 on so many different levels.
    0:03:06 So first of all, can you just quickly summarize
    0:03:08 the crisis from your point of view?
    0:03:10 Why opioid? What’s going on here?
    0:03:12 – Well, first of all, opioids, as you said,
    0:03:13 are opium-based drugs.
    0:03:16 And it’s probably worth a moment to talk about
    0:03:19 kind of how they work and why there’s a problem.
    0:03:23 Opioids basically target a receptor class within cells
    0:03:24 called the opioid receptors.
    0:03:25 And there’s three main classes.
    0:03:27 And the three main classes
    0:03:29 all have slightly different functions.
    0:03:31 And by the way, as we learn more biology,
    0:03:34 but I think identified another 15 or 20 subclasses
    0:03:34 of these things.
    0:03:36 So the biology as you can imagine is complex,
    0:03:38 but essentially what happens with an opioid
    0:03:43 is that it targets one or usually many of these receptors.
    0:03:47 And that has the pain numbing or pain killing effect.
    0:03:49 It also hits some of our,
    0:03:51 essentially our pleasure-seeking centers.
    0:03:53 So it has the addictive effect.
    0:03:54 – Right, hence the addiction.
    0:03:55 – And by the way,
    0:03:58 it also hits other important receptors that are necessary
    0:04:00 for sort of our physiological function.
    0:04:02 Most notably, one of the subclasses of receptors
    0:04:04 is responsible for sending the signal to your brain
    0:04:05 that you need to breathe.
    0:04:06 – Whoa, I had no idea.
    0:04:07 – Yeah, no.
    0:04:10 So a lot of people that overdose and die from opioids,
    0:04:12 really what they die from is forgetting to breathe.
    0:04:15 And in fact, like the recovery drug Naloxone,
    0:04:18 it basically competes for the drug off that receptor.
    0:04:20 So the person actually comes back and remembers to breathe.
    0:04:23 So the drug itself is incredibly powerful.
    0:04:25 And I think one of the important things to remember
    0:04:28 is that addiction isn’t weakness.
    0:04:30 It’s not lack of willpower.
    0:04:32 It’s actually a weakness of the biology
    0:04:34 that the opioids target.
    0:04:36 In fact, I remember when I was in graduate school,
    0:04:39 I took a pharmacology class and the lecturer
    0:04:41 at the beginning said,
    0:04:42 if I took this classroom,
    0:04:44 a very accomplished, intelligent driven,
    0:04:46 responsible graduate students, medical students,
    0:04:48 and gave everyone a dose of heroin,
    0:04:49 a significant proportion,
    0:04:52 a significant majority of this class
    0:04:54 would be hopeless addicts tomorrow.
    0:04:55 So a big part of the problem here
    0:04:59 is that this is a very, very powerful class of drugs.
    0:05:01 And what’s really tricky about opioids
    0:05:03 is that a more powerful drug
    0:05:04 is not necessarily a better drug.
    0:05:06 – First of all, thank you for acknowledging
    0:05:09 that this is not necessarily a choice that people make.
    0:05:11 That’s really important, that it’s biology.
    0:05:13 But you also mentioned heroin in that example.
    0:05:14 That one is an illegal one,
    0:05:16 which is of course a class of opioid,
    0:05:17 but most of these are prescribed.
    0:05:20 So I’m curious for how that plays out.
    0:05:23 – First of all, biology is a very dynamic system.
    0:05:26 And so if you take a drug, any drug, really,
    0:05:28 you start to, or you tend to develop tolerance
    0:05:29 for it over time.
    0:05:31 And it can happen via various mechanisms,
    0:05:33 but one of the mechanisms that’s believed
    0:05:35 to be the case in opioids is that
    0:05:37 as you essentially take the drug,
    0:05:39 your receptors essentially become accustomed to it.
    0:05:41 And so it actually changes the dynamic of the receptors
    0:05:43 and people describe it as, you know,
    0:05:45 if you take opioids for a long time,
    0:05:47 you are quite literally changing your brain.
    0:05:51 And so the result of that is if you’re taking a drug,
    0:05:53 and especially for relieving pain,
    0:05:56 you may need more and more of that drug to relieve pain.
    0:06:01 If that particular opioid also happens to target or hit,
    0:06:02 one of the receptors associated
    0:06:06 with what’s linked to addiction over time,
    0:06:08 you’re gonna seek more and more of it.
    0:06:11 So it just becomes a truly biological dependence
    0:06:13 at the cellular level for these drugs.
    0:06:14 – Well, you know, it’s important to consider
    0:06:16 why patients are getting these in the first place.
    0:06:19 – Right, quite honestly, if this is of kind of,
    0:06:20 the biology of it is that you become more addicted
    0:06:22 as you take it, why are they getting it?
    0:06:26 – And there’s two reasons, which is somewhat of a shift.
    0:06:29 So one reason is that there’s been a recent shift in policy
    0:06:31 that essentially no pain is acceptable.
    0:06:33 So, you know, they often ask you
    0:06:34 if you’re in the ER or something like,
    0:06:36 what’s your pain from zero to 10?
    0:06:38 And it’s not that everyone’s saying 10,
    0:06:40 and then they get fentanyl.
    0:06:42 It’s the belief that no pain is acceptable.
    0:06:44 And this is actually very much an American thing.
    0:06:47 In other cultures, you know, you may be under extreme pain,
    0:06:50 but you’ll get T or you’ll get maybe Tylenol
    0:06:52 or something, something very different.
    0:06:55 And it’s just understood that you have to sit with the pain.
    0:06:57 The second thing that’s just the healthcare system now
    0:07:01 is so strained that if, let’s say you have major back pain
    0:07:03 and you should maybe be seeing physical therapy
    0:07:05 or maybe you should be seeing a doctor
    0:07:08 for musculoskeletal, it may take you four weeks,
    0:07:09 six weeks to see that doctor.
    0:07:11 It takes time to see an expert.
    0:07:13 Yeah, but you could get the prescription immediately.
    0:07:14 So some of this is tied to healthcare access.
    0:07:17 Yeah, but then, you know, puts them in this bind
    0:07:19 where they really should be getting physical therapy
    0:07:22 or something like that, and they are on this path.
    0:07:24 The third thing is that often the alternatives
    0:07:26 are harder short-term, like physical therapy
    0:07:28 is a lot of pain.
    0:07:30 And so this is just, it’s available,
    0:07:33 it’s thrown on you by a doctor and it’s easy.
    0:07:35 You put those things together.
    0:07:38 That’s the match on the, that lights the fire.
    0:07:41 So this is very helpful for helping break down the biology
    0:07:43 and the science behind this.
    0:07:46 It plays out against broader structural factors,
    0:07:48 cultural factors, political factors.
    0:07:50 This is a really big important topic.
    0:07:53 And I have to ask, who’s to blame?
    0:07:56 Like the interesting thing is that the news,
    0:07:58 there’s all these lawsuits happening to these pharmacies
    0:07:59 and now the pharmacies and distributors,
    0:08:00 they’re coming back and saying,
    0:08:02 well, what about the impact of doctors
    0:08:03 and criminal drug dealers?
    0:08:05 Politicians, they are the ones who are trying
    0:08:06 to hide the database.
    0:08:08 There’s so many different players going around here.
    0:08:10 I want you guys to tell me, like, who’s to blame?
    0:08:12 I mean, embedded in the question is part of the answer.
    0:08:15 I think really what we have is a massive systemic failure.
    0:08:16 I mean, you talk about manufacturers,
    0:08:19 you talk about distributors, you talk about pharmacies,
    0:08:20 you talk about prescribing physicians.
    0:08:22 And ultimately you talk about patients
    0:08:24 and their families and their caregivers
    0:08:27 and sort of the communities that support them.
    0:08:29 And then you also talk about the politicians,
    0:08:30 you know, the public health agencies.
    0:08:34 I think the systemic failure here is pretty broad.
    0:08:35 So we can start from the very beginning,
    0:08:39 which is we do need better opioids.
    0:08:40 We do need better pain killing drugs.
    0:08:42 We need, as Vijay mentioned,
    0:08:45 to be more thoughtful about how and when we intervene
    0:08:47 with pharmacologic drugs, forward pain.
    0:08:51 One of the things that you can do with an opioid
    0:08:53 is you can try to design something
    0:08:55 that is only hitting the right receptor.
    0:08:56 This goes back to your earlier point about there being
    0:08:58 15 types of receptors that are now being discovered.
    0:08:59 You can get more and more precise.
    0:09:00 Exactly.
    0:09:01 So now that we can engineer cells
    0:09:02 and we can work with cells,
    0:09:05 we can find very precise ways to understand
    0:09:09 what molecules are interacting with what parts of the cell
    0:09:12 and design molecules that are hitting just the right notes
    0:09:13 that are gonna be more targeted.
    0:09:16 So there is the potential for a better opioid.
    0:09:19 By the way, to date, most of the attempts to improve it
    0:09:22 have been to address the ways to not tamper with it
    0:09:24 so you can overdose on it.
    0:09:26 But the reality is you can get a better molecule
    0:09:27 if we understand what’s driving the biology.
    0:09:29 So that’s the first step on the manufacturing side.
    0:09:33 The second one is, yes, the distributors and the pharmacies,
    0:09:35 I mean, the biggest problem is that this is a very ad hoc,
    0:09:39 disjointed system that we have here in the United States.
    0:09:39 Like healthcare system.
    0:09:40 The healthcare system.
    0:09:42 And so I think a lot of what you’re relying on
    0:09:44 in terms of the crisis is that there aren’t really
    0:09:47 the checks and balances and the alert systems
    0:09:49 that one would expect in place
    0:09:51 that doesn’t require sort of a human being to say,
    0:09:54 this employees flag one particular shipment.
    0:09:56 But that one particular shipment
    0:09:58 or that one particular prescription obviously
    0:10:01 doesn’t catch the systemic problem as it’s evolving.
    0:10:04 And so you’re really missing the force for the tree.
    0:10:05 – Is that a place that tech can help?
    0:10:07 – It’s an absolute place that tech can help
    0:10:08 because I mean, first of all,
    0:10:10 a lot of this is by requirement
    0:10:14 that you have to inform the public health agencies
    0:10:18 if there is the suspected overuse of a controlled substance.
    0:10:20 And so instead of requiring on people to voluntarily do that,
    0:10:22 you could deploy technology-based systems
    0:10:24 that essentially do that automatically.
    0:10:26 – In fact, one of the quotes in the “New York Times” article
    0:10:28 came from a Walgreens official who said
    0:10:30 that he was the one who was tasked with monitoring
    0:10:32 the orders said his department, I quote,
    0:10:34 was not equipped for that work.
    0:10:35 I mean, that seems like an obvious place
    0:10:37 that tech could literally do what you’re describing.
    0:10:39 – And it’s a place that tech could do it far better.
    0:10:40 – Exactly, no, that makes great sense.
    0:10:41 – You have to understand, I mean,
    0:10:43 what’s going on in a lot of these places,
    0:10:45 it’s post, it’s fax machines.
    0:10:48 It’s something where the things that we take for granted
    0:10:50 that sort of just coordinate our daily lives
    0:10:52 could be put in here
    0:10:54 and could really have a significant impact.
    0:10:57 – Okay, so let’s go back to the systemic players and failures.
    0:10:58 We have manufacturers, distributors.
    0:11:00 Let’s continue breaking each one of those down.
    0:11:01 – On the manufacturer side,
    0:11:03 there’s really two issues here.
    0:11:05 One is we do need better drugs as we talked about.
    0:11:08 And number two, and I think this is a very important point,
    0:11:10 is a lot of times in companies
    0:11:13 as they’re commercializing drugs,
    0:11:15 obviously the goal is to grow revenue.
    0:11:18 And that can sometimes create perverse incentives
    0:11:21 to drive usage where perhaps there shouldn’t be usage.
    0:11:23 And I’m not saying that’s necessarily the case here,
    0:11:25 but that’s something that I’ve seen happen,
    0:11:28 unfortunately, across the industry over time.
    0:11:29 The second issue is the distributors.
    0:11:31 The distributors are obviously responsible
    0:11:33 for moving product through the channel.
    0:11:35 They of course have incentive
    0:11:38 to move more product through the channel.
    0:11:40 And so, if there are no controls in place,
    0:11:42 if the right tensions aren’t there
    0:11:44 between how things are prescribed
    0:11:45 or how things are reordered
    0:11:47 or how things are pulled through the system,
    0:11:49 that could also create a perverse incentive
    0:11:50 from a distributor standpoint.
    0:11:52 And I think you show some of the concentration
    0:11:56 of what happened in the case of this particular opioid,
    0:11:58 episode of the opioid crisis as you’ve laid it out.
    0:12:00 So we do need checks against the distributors as well.
    0:12:02 When you get to the pharmacy,
    0:12:04 the pharmacy is where the rubber meets the road, right?
    0:12:06 Is these are where the prescriptions are getting picked up,
    0:12:07 we’re getting shipped to at least.
    0:12:12 And so, if you don’t have a manual control system there,
    0:12:14 I actually think that the biggest problem
    0:12:16 is just lack of an alert system.
    0:12:20 If I go in today to pick up a prescription,
    0:12:22 there’s no real system that would raise flags,
    0:12:25 at least not efficiently, at the system-wide level.
    0:12:27 It tends to happen very episodically,
    0:12:29 as the story itself has shown.
    0:12:32 And then finally, there’s the physician prescription challenge.
    0:12:33 Because patients are in pain,
    0:12:36 the physician may not want them to tolerate pain,
    0:12:38 so it may be more likely to offer this,
    0:12:39 to offer immediate relief.
    0:12:41 Two, you get to the point where,
    0:12:43 if you have to wait weeks and weeks and weeks
    0:12:46 to see a specialist or to get therapy or to get treatment,
    0:12:48 this is a fast-to-fix, short-term solution
    0:12:50 that eventually might become a longer-term problem,
    0:12:54 obviously, as addiction becomes an issue.
    0:12:57 And the third one is, and these are all related points,
    0:12:59 but physicians, for the most part,
    0:13:02 don’t have the right control systems
    0:13:05 to do really effective medication management.
    0:13:07 So, my treatment of you is very episodic.
    0:13:09 I come, I see you, you describe pain,
    0:13:10 I will prescribe something.
    0:13:12 I may look in the notes and go back
    0:13:14 and see what had happened in the past,
    0:13:16 but I’m not really following this day-to-day.
    0:13:18 And this, by the way, applies across all health problems,
    0:13:21 all health, medication management,
    0:13:23 medication reconciliation is a massive problem
    0:13:25 across the entire healthcare system.
    0:13:26 The particular challenge here, of course,
    0:13:28 is that this is the one area
    0:13:31 where a more powerful drug leads to more usage
    0:13:33 rather than less usage.
    0:13:34 And that’s what makes it so difficult
    0:13:35 when you can’t reconcile, you know,
    0:13:38 patient usage is happening over time.
    0:13:40 – Well, and there’s ways that we could work
    0:13:41 within the existing system.
    0:13:43 Like, one thing you could imagine is a PBM
    0:13:44 that is more involved-
    0:13:45 – A Pharmacy Benefit Manager.
    0:13:46 – Yeah, Pharmacy Benefit Manager,
    0:13:48 that’s more involved with clinical care,
    0:13:50 where they’re just, they’re not the doctors,
    0:13:52 but at least they’re better interfacing with the doctors,
    0:13:54 such that you can at least have sanity checks,
    0:13:56 like there’s no reason why a patient would need this.
    0:13:59 And this way you can’t shop around to multiple pharmacies
    0:14:00 because you’ve got the same PBM.
    0:14:01 And it is that layer.
    0:14:04 And I think as you start to get smarter PBMs,
    0:14:06 these problems would be very naturally addressed,
    0:14:08 not just for the opioid crisis,
    0:14:09 but it would be true for patients
    0:14:11 that have sometimes two or three drugs
    0:14:12 to treat the same condition,
    0:14:14 or three drugs that are actually
    0:14:15 gonna interfere with each other.
    0:14:16 Those are sometimes very difficult
    0:14:17 because in the medical system,
    0:14:20 you’ve got the endocrinologist and the cardiologist
    0:14:23 and the psychiatrist, each prescribing,
    0:14:25 or without really any coordination.
    0:14:27 – And you know, to that exact point,
    0:14:29 we have a problem in the healthcare system
    0:14:30 of getting things deprescribed.
    0:14:31 – What do you mean by that?
    0:14:34 – Well, the patients might be taking a medication
    0:14:35 for an acute condition.
    0:14:37 And you know, I saw the physician,
    0:14:38 and the physician told me to take this medicine
    0:14:39 for a condition accident.
    0:14:41 – You broke your arm and you need back again.
    0:14:44 – Or you may have a heart condition
    0:14:45 that is going through an acute episode.
    0:14:48 Any number of things that I’m on 10 different medications,
    0:14:50 it could be that the condition
    0:14:52 for which this one drug was given to me
    0:14:54 has since been alleviated, has since been addressed.
    0:14:55 – But that information doesn’t get plugged back
    0:14:56 into the system.
    0:14:57 – Yeah, and I don’t know to stop taking it.
    0:14:58 So I might be taking a medication
    0:15:00 that I don’t need for a long period of time.
    0:15:02 And if somebody doesn’t do the reconciliation
    0:15:03 that we just described,
    0:15:04 I could be on many medications
    0:15:05 that not only interfere with each other,
    0:15:06 which is a problem,
    0:15:07 but that I may not even need,
    0:15:08 which is a different problem.
    0:15:10 – So that kind of addresses it
    0:15:12 at the sort of structural logistical level
    0:15:14 of the healthcare system.
    0:15:16 Now, back to the point you brought up
    0:15:18 about the biology and some of the pain management.
    0:15:19 I mean, there’s obviously alternatives
    0:15:21 like TENS devices and all kinds of things
    0:15:23 that could potentially scale in the future to address pain.
    0:15:24 But now let’s go to what the fixes are.
    0:15:26 Obviously there’s social societal things
    0:15:27 that need to be addressed,
    0:15:30 but what can tech and science help with here?
    0:15:31 Are there any other future directions
    0:15:33 from your vantage point on the biocide?
    0:15:35 Clearly there’s technology to address the transparency,
    0:15:37 the pre-BMs, the pharmacy benefit managers,
    0:15:40 closing the loop, everything from manufacturer’s distribution
    0:15:41 to prescription.
    0:15:42 What are some of the other things?
    0:15:44 What are some of the interesting directions you see
    0:15:45 to help address this?
    0:15:47 – Well, there are efforts to develop
    0:15:50 digital therapeutics, VR type applications.
    0:15:51 – And by the way, digital therapeutics
    0:15:54 is in like apps and things like technology
    0:15:56 that can actually act as if a drug
    0:15:58 in helping people to better outcomes.
    0:16:01 – Exactly, that can help you get you into a state of mind
    0:16:03 that might help alleviate the pain, right?
    0:16:05 So, you know, if you can find different ways
    0:16:06 to address the pain issue,
    0:16:08 whether it’s physical therapies
    0:16:10 or something maybe novel like, you know,
    0:16:14 quite literally having a VR virtual reality type experience
    0:16:15 or having an application on your phone
    0:16:18 that helps you meditate or calm down
    0:16:19 that might address some of the pain issues,
    0:16:20 you may not be as dependent
    0:16:22 on getting on the opioids in the first place.
    0:16:23 – I’ve read a ton of papers actually
    0:16:25 that VR has already proven to be effective
    0:16:28 in helping with PTSD, post-traumatic stress disorders
    0:16:30 with veterans coming back from wars
    0:16:33 or, you know, people who are suffering severe depression.
    0:16:34 It’s just, it’s really amazing that it can help.
    0:16:37 – Well, you know, I think often we are worrying
    0:16:39 about the consequences without thinking about the source
    0:16:42 or you made a great point about how addiction
    0:16:43 is a natural consequence.
    0:16:45 There are other recent studies that talk about
    0:16:47 sort of a little deeper about why this is so.
    0:16:50 So the famous one is called the rat park study
    0:16:52 where they actually had rats in a cage
    0:16:53 which is kind of like in jail
    0:16:56 and given the choice between food or opioid,
    0:16:57 they’ll take the opioid
    0:16:59 until eventually they kill themselves.
    0:17:00 But if you give them access to rat park
    0:17:01 where they can play and be social
    0:17:04 and sort of just live their normal happy lives,
    0:17:06 then actually given the same choice,
    0:17:08 they would choose food and not the opioid.
    0:17:12 We know that social determinants are a key part of healthcare.
    0:17:15 It’s just not wrapped into a fee for service kind of system
    0:17:17 where no one’s job is to take care of these things.
    0:17:20 But we could take care of the root causes of this
    0:17:22 which are beyond just about prescribing drugs
    0:17:25 but thinking about healthcare as a societal issue.
    0:17:27 I think then we can actually really have a huge impact.
    0:17:31 – And there are several efforts ongoing now to use technology
    0:17:35 to help try to pull in all of those stakeholders
    0:17:37 in the community that can have such a big impact
    0:17:39 on some of these social determinants of health.
    0:17:42 Without that is another example of a fragmented system,
    0:17:45 a very analog system is you’re doing this with call sheets
    0:17:47 and coming up with referral names
    0:17:48 and calling and trying to get appointments
    0:17:51 and inbound visits and things like that.
    0:17:52 And it’s all necessary
    0:17:54 because this requires human intervention
    0:17:56 but the coordination shouldn’t also be human.
    0:17:58 So I think technology has an opportunity here
    0:18:00 to have a massive impact on how we coordinate
    0:18:02 all of these stakeholders to the people
    0:18:03 that may be more susceptible
    0:18:06 given some of these social determinants are more supported.
    0:18:08 – Right and it just goes back to the bottom line for me though
    0:18:09 which is technology is social
    0:18:11 and it lives in a broader cultural context
    0:18:12 that clearly plays.
    0:18:14 Well, thank you so much Jorge and Vijay
    0:18:17 for joining the A6NZ Podcast 16 Minutes.
    0:18:18 – Thank you.

    with @jorgecondebio @vijaypande and @smc90

    This is episode #4 of our new show, 16 Minutes, where we quickly cover recent headlines of the week, the a16z way — why they’re in the news; why they matter from our vantage point in tech — and share our experts’ views on these trends as well.

    This week we do a short but deep dive on the opioid crisis, given recent data around where and who was behind the manufacturing and distribution of specific opioids:

    • How do opioids work, why these drugs?
    • Who’s to blame?
    • What are other directions for managing pain — and where could tech come in, even with the broader social, cultural, and structural context involved?

    Our a16z experts in this episode are a16z bio general partners Jorge Conde and Vijay Pande, in conversation with host Sonal Chokshi.