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#58: Greg Isenberg on AI Co-Founders, the Multi-Preneur, and Why Anyone Can Build a Startup Now — Transcript

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0:00So I believe that this like builder
0:02distributor combo is
0:06is probably the most lethal type of
0:09person in the AI age because they they
0:13understand distribution. They understand
0:15how to capture attention and how to
0:17convert that attention [music] into
0:20uh revenue but they also understand how
0:22they [music] can drive value from a
0:24product perspective. The product has to
0:26be good and the [music] bar for good
0:29products is increasing and increasing
0:30especially when it comes to digital
0:32products
0:42>> this episode is brought to you by Google
0:44for startups.
0:46Today we're in Aventura, [music] Florida
0:48with Greg Eisenberg, one of the sharpest
0:50voices helping builders understand the
0:53next great [music] shift in startups,
0:54AI, and the internet. Greg's career has
0:57been built on one rare skill, seeing
0:59where the internet is moving before the
1:01market catches [music] up. He created
1:03Five, which was acquired by Stumble
1:05Upon, and he built islands, which was
1:07acquired [music] by Weiwork. That
1:08pattern recognition took him from
1:10founder to trusted adviser where he's
1:12met with [music] some of the biggest and
1:13best companies in the world helping them
1:15on their strategies around AI. Today he
1:17leads late checkout portfolio of AI
1:20native businesses powered by agents and
1:22internet communities through idea
1:23browser Greg's letter and the startup
1:26idea podcast. [music]
1:27He shared over 2,000 startup ideas and
1:30built an audience of millions [music] of
1:31followers. Hope you enjoy our
1:33conversation. We're in
1:36July 2026. What are the biggest shifts
1:40you're seeing in AI right now at this
1:43moment? I couldn't be more excited with
1:45like what's happening right now? So, I
1:47just spent all morning playing with
1:49Grock 4.5
1:52and I sort of I dismissed
1:55Grock. I was just like, "Okay, it's an
1:58open AI anthropic Google world." Like, I
2:01didn't I've never even thought about
2:02Grock. But I started playing with this
2:04model. I connected it to my Hermes agent
2:06which I mean we can talk about this
2:08sorts of stuff but I had this basic I
2:10gave it to my personal assistant and I
2:12had it basically
2:15running 247. I said here's a startup
2:17idea. I want you to go and, you know,
2:21build features for it, optimize based on
2:24analytics, do SEO, um, and do all these
2:28things and run while I was sleeping
2:31basically and in the morning this
2:33morning. And seeing how capable it was
2:36and how good it was.
2:39I mean, it's incredible. Like, I'm
2:41sitting here. We're at the 38th floor
2:44looking at the ocean and I have a
2:48essentially AI co-founder that's
2:50working.
2:51>> I'm paying it like the equivalent of
2:53like $2 an hour or something
2:56>> and it's
2:59super intelligent and it's creating a
3:01startup for me while we're hanging out.
3:04Mhm.
3:04>> I mean, it's hard not to be extremely
3:09excited about building companies right
3:12now with AI. If I'm trying to get
3:15started,
3:17a lot of people talk about the idea and
3:19then there's also
3:21going after a business model that's
3:22already working. Where do you like to
3:24start or where do you advise people to
3:26start? Do I start with coming up with
3:28the right idea or do I should I look at
3:30the world and see what business models
3:31are working and try to iterate off of
3:33something that's already out there? I
3:34mean, I'm a big trend guy. So, I like to
3:37see how things are changing in the world
3:41and based on that go and create
3:43something to feed that problem. The
3:46beauty about the world we live in today
3:49is all the trend data is out there. You
3:53can see what people are tweeting about.
3:54You can see what posts are going viral.
3:56you can see what the search volume is.
3:57You can see what people are putting into
3:58chat GPT and what the LLM visibility is.
4:03So, if you're able to harness that data
4:05and basically have your agents tell you,
4:09hey, there's an opportunity to go and
4:12build um you know, a software company
4:15for South Florida dentists and it
4:17probably looks like this and it has
4:19these features, then I'm going to go and
4:22do that because I've got a validated
4:25startup idea. Mhm.
4:26>> You know, when I was younger, I would
4:30like how I came up with startup ideas
4:32was would be like I don't know, you have
4:33a glass of wine, you go for a walk on
4:35the beach, and then and you kind of wait
4:37for this perfect moment and you're like,
4:40"Oh my god, I have this idea." And you
4:41write it down and you tell all your
4:44friends and and you fall in love with
4:47the startup idea. And as I've gotten
4:49older, I've realized that the businesses
4:51that have worked the best for me have
4:53been ones that have been validated based
4:55on data. Not validated based on like how
4:58I was feeling at 6:32 p.m. I had the
5:00wine was hitting me at a particular
5:02time. The sun was, you know, hitting me
5:04at a particular time and it just
5:06something hit like that. No, that's
5:09that's one way to do it. But if you are
5:12if your goal is to create a startup with
5:14the highest probability of success
5:16>> in the age of AI,
5:18>> I think the way to do it is to look at
5:21the trend data.
5:22>> So talk me through how you do that. So
5:24you're on you're on X. You're reading
5:27tweets post from the right people.
5:30You're what what else are you doing
5:32besides that? I mean, one way to do it
5:35is
5:37is exactly what you said, which is
5:38basically like you have a content diet.
5:41>> Yeah.
5:41>> You follow certain people on Instagram,
5:43you follow certain subreddits,
5:45um you
5:48you follow certain ex accounts, and
5:49based on what people are saying, you're
5:51able to deduce.
5:52>> You're kind of triangulating based on
5:53all these things.
5:54>> It's pretty manual,
5:56>> but you can do that, and it it works
5:58some sometimes.
6:00The second way is you connect a and this
6:04is you know we're getting into like a
6:06little technical but you connect an MCP
6:09to a codeex or a cloud code. Now what is
6:12an MCP? You know it's a fancy way of
6:15saying basically like an API or just
6:17plugging into another repository of data
6:22that is going to help you make that
6:25decision. For example, one MCP is the
6:29XMCP. So you can basically say you're
6:32using cloud code or codeex which are you
6:35know by codeex is by openai cloud code
6:38is by anthropic and they're basically
6:41this v this way to interact with those
6:43platforms. You can basically have it
6:47connect to X.com's MCP and you can say
6:50like you know every single day you know
6:52here's my niche give me trending you
6:55know tweets in these particular uh
6:58verticals and then you can have your LLM
7:01which is the super intelligence
7:03basically refine those ideas for you
7:06curate those ideas for you extract the
7:08pain points for those ideas for you give
7:11you new ideas based on on that and have
7:14it just send you a digest every single
7:16day.
7:17>> Um, and there's other MCPs you can use.
7:19You know, you can use I created my own
7:21MCP around startup ideas called idea
7:24browser. So, there's a bunch of MCPs
7:26that you
7:26>> people can just tap into that. Yeah,
7:28people can just tap into that. So, those
7:32are the two ways I would say like more
7:33manual first or more LLM first. when you
7:38talk and listen and what you're hearing
7:40people who are building trying to build
7:42a business who are trying to use AI what
7:44do you think most people are missing
7:46with the opportunity with AI
7:48>> I think a lot of people I mean it's July
7:512026 we've talked about it like if
7:54you're listening to this you've probably
7:56used AI
7:57>> sure but you probably
8:00have gotten some bad results from AI
8:03>> so the truth is
8:06AI I is only as good as the context you
8:09feed it. So what I think I think there's
8:13a lot of people that will have listened
8:15to this and be like, "Yeah, I tried AI
8:18to build a landing page and it looked
8:19ugly." Or, "I tried AI to come up with a
8:21startup idea and it was dumb." Or, "I
8:23tried AI to write a post and content and
8:27it sounded like AI."
8:29>> And that is because number one, you
8:32didn't give it the right context. You
8:34didn't connect it to the right MCP. You
8:36didn't say, "Hey, this is how I like to
8:39write and here's my framework for
8:43thinking about how I write or how I come
8:44up with startup ideas." And number two,
8:48you haven't shown them what does good
8:50look like. Mhm.
8:52>> So, when you hire a new employee, let's
8:55say it's a junior employee and maybe
8:57they're
8:58a social media manager, and their job is
9:02to write tweets and reply to tweets.
9:06If you're hiring this person, they're
9:07fresh out of school, for example, you
9:09might want to tell them, "Hey, this is
9:11what a super good tweet looks like.
9:14Here's what a good reply looks like."
9:16Yet, we we don't say that with LLMs for
9:19the most part. So the people who crush
9:22it with how to build with AI understand
9:25this context game and they understand
9:27this what does good look like game which
9:29in technical terms is called an eval
9:31which is means an evaluation. An eval
9:34basically says this is what good looks
9:36like
9:36>> and before you give me a result check or
9:41evaluate based on what I consider good.
9:45>> Yeah. such that uh like don't hand me
9:48something if it's going to be bad.
9:50Basically,
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10:20media guide.
10:23So recently I set up my whole workflow
10:27in co-work. I've got multiple inboxes.
10:30I've got all these social media accounts
10:33flowing in all of you know all this
10:35context around how I like to send emails
10:37and do emails. I've got all of my
10:38meetings flowing in from Zoom and other
10:41places. The whole thing took me like six
10:44hours to get set up and
10:48it it wasn't the most technical process,
10:50but it was still kind of a technical
10:52process. And I think when you say people
10:54aren't giving this their AI systems the
10:58context in some ways we just expect
10:59these things to happen because it seems
11:01like a some of it seems kind of obvious
11:03like don't send me a bad email. It's
11:06like you're exactly right like what is a
11:08bad email? You need to define that. But
11:10we kind of we kind of know what at least
11:13is a really bad email and sometimes, you
11:15know, it's it's spitting out really bad
11:16results. Do you think how far are we
11:19from that sort of
11:22s I mean slightly technical process
11:24being totally evaporated and just like
11:27the system's doing it or do you think
11:28like this is the way that if you're
11:30going to want to use AI properly in two,
11:32four, five years from now, you're still
11:34going to have to do all these kind of
11:36manual setups to like dial in your
11:38system. Is this just some way some thing
11:40you're just going to have to learn how
11:42to do and be great at and continue to
11:44refine over time or is it just going to
11:46figure it out? There's two types of work
11:49that exists. Yeah. Regular work and
11:52creative work. When it comes to regular
11:54work, for example, let's say SEO,
11:59you know, in the past, people have hired
12:01SEO agencies to do SEO. And what that
12:04meant was
12:06uh you had to create blog posts and you
12:08had to optimize the blog posts and you
12:10had to do a certain tasks certain set of
12:12tasks that were pretty binary because
12:15the result meant either you went up in
12:18Google, you went down in Google or you
12:19stayed the same. those tasks, those that
12:23work, those
12:26we're probably 12 to 18 months away from
12:30that being like pretty autonomous
12:33and
12:35is just going to do its own thing. The
12:37creative task like what we were talking
12:39about with tweets and maybe creating
12:42video content or branding or
12:46copywriting, things like that, there's
12:48some creative element that exists. when
12:51creativity is a part of it, even if it's
12:53just 1%. Um, there needs to be some
12:58human intervention. So, I think that
13:01from creative task perspective, we're
13:03never going to get to the place where
13:05this super intelligent thing is
13:08going
13:08>> reading your mind,
13:09>> reading your mind. There's always going
13:11to be place for art in society. And you
13:17can the counterargument to what I'm
13:19saying is is this. You know, you could
13:21say, well, if it's plugged into the
13:24human API, aka X and Instagram, like if
13:28you're getting all these posts from,
13:29let's say, MCPs and you're able to
13:30deduce what human beings want, can't it
13:34create creative on the fly? Um, and the
13:39thing about humans is we're we're kind
13:42of at least creative humans, we're kind
13:44of like punk rock and it's hard to pro
13:46it's hard to program that like punk rock
13:48nature to it. So I believe that and I'm
13:51a AI pled as it gets. Um,
13:55and I I advise the world's largest
13:58brands on the planet around, you know,
14:01getting their businesses
14:03to be AI native. So, I would be the
14:06first to tell you, hey, this is all
14:08going to be autonomous and creatives
14:12aren't going to exist. I see these
14:14people tweet, you know, you need to
14:18escape the permanent underclass and it's
14:20like I joke, I laugh at it cuz it's like
14:23there will always be space for
14:24creatives. Human beings will always be a
14:26part of it. That being said, the binary
14:29stuff will be autonomous for the most
14:32part. when you're talking to an
14:34established company or a team who's been
14:36working in a certain way for 5, 10, 20,
14:4150 years and now all of a sudden it's
14:43like this reinvention of work. What do
14:46you tell people to start to really make
14:50a significant shift in that way? Not
14:53just, hey, sign up for Chat GBT, but
14:55like change the way you work in an
14:58environment, in a culture that has been
15:00doing it a different way for a long
15:02time. It always starts with like, what
15:04would you do if you unlocked five or 10
15:06or 15 hours of your week back? You know,
15:08like you've got all these jobs to be
15:10done that you've been doing and what if
15:12you can automate 60% of it? What are the
15:14things that you would wish you can do
15:17that you don't have time to be doing
15:20today? And that's you you actually see
15:24people's face light up when when they
15:27hear that because they're like, you know
15:28what, I always wish I can do this thing,
15:30but I just find Yeah. Oh my god, I can't
15:33believe it's Friday already. I guess
15:34I'll do it next week and then it's
15:35Friday again and then it's Friday again.
15:37They never get to do it. So, I think
15:39what we're going to I think what we're
15:40there's this narrative that like all
15:42jobs are going away. Uh AI is eating our
15:45jobs. I think we're actually moving into
15:47a world where people are going to be
15:49more creative.
15:51And AI is going to take jobs away from
15:55the the stuff that's going to be
15:56extremely binary. So for example, I
15:59studied computer science in in
16:01university. So I dropped out, but I'm a
16:04trained engineer. Engineers now have
16:07this identity crisis because they're not
16:11programming anymore. I saw that Boris
16:13the guy who created claude code
16:15literally says that he hasn't like de
16:18touched he hasn't he hasn't created a
16:21line of code in like six months. So you
16:23have one of the most well-known
16:25engineers of our time not writing code.
16:28So what do you do when your identity is
16:33engineering and you can't write code?
16:36You sh you shift into a more creative
16:38aspect of engineering. Now he's
16:40reviewing code. Now he's designing
16:43systems. Now he's going on podcasts and
16:45he's talking about engineering and he's
16:47talking about cloud code. So going back
16:50to your question, um what do I what do I
16:53tell people who
16:55you know who have human workflows that
16:58are now moving to AI? You're about to do
17:01you're probably going to do a bunch more
17:05creative work. And if you're if you love
17:07creative work, you're going to love your
17:09day-to-day more. So in an age where in
17:13an age of abundance where so many more
17:16things and skills are accessible to so
17:19many more people what becomes the
17:22competitive advantage your creativity.
17:24Yeah. The most creative people win
17:27>> we're talk we're talking generally. Of
17:28course some people unfortunately are
17:31going to lose their job and aren't going
17:33to be creative like they're they're not
17:36going to be Boris in terms of like being
17:39Yeah. Not everyone can go on and talk.
17:41We can't just have engineering podcast
17:42from every engineer.
17:44>> No, no. But I do think that the ones who
17:48make the shift to being creative and
17:50learn to be creative are
17:54are going to love their their
17:56day-to-days bec I I think because a lot
17:58of people don't like a lot of the
17:59minutia that they do on a day-to-day
18:02basis. And that's sort of the unspoken
18:04truth about white collar work in
18:05general. like a lot of people are
18:07pushing buttons that if they were like,
18:08you know what, if I didn't have to push
18:09these buttons, I think I would actually
18:11enjoy it. Do you think that for somebody
18:14that wants to work for themselves, is
18:16the future going to be where they have
18:20all these agents building lots of
18:23different tools? Like, am I going to
18:24have 10 different ways that I'm making
18:27money and it's maybe $1,000 from each or
18:31am I like we've heard for so long in
18:34Silicon Valley, it's like focus, focus,
18:35focus. Put all your energy into one
18:37thing and let that compound. Is it going
18:40to be all the agents working in one
18:41thing or or is it going to be like, hey,
18:45have lots of ideas, have lots of things
18:46making a little bit of money for you and
18:49that's going to kind of build over time.
18:50I think that's the other part about this
18:53big shift around AI, which is this is
18:55going to be the golden era for
18:57entrepreneurship. If you look back, you
19:00know, hundreds of years ago, uh before
19:03the industrial revolution and things
19:04like that, uh people actually were more
19:08often entrepreneurs than not. This idea
19:10of you go and work for, you know,
19:12factory Henry Ford and and stuff like
19:14that is actually a relatively new
19:16concept. entrepreneurship, I think,
19:19because it it really does celebrate
19:21freedom and this idea of like going out
19:24there, forging your own path is a just
19:27such an incredible concept. Um, and I
19:30think that we're kind of like all that's
19:32new is old type thing. We're kind of
19:34going back to this era that we're going
19:35to have millions of people who are going
19:39to embrace AI. They might they might
19:41have been forcibly have to embrace it in
19:44the sense that maybe they get laid off
19:45from their job. Maybe they, you know,
19:49find an idea that they really like and
19:51they just can't stop thinking about it
19:53and they go do it. and that they're
19:54going to have multiple
19:57uh streams of income in the same way
19:59that if you look at the average creator
20:01who's making money uh today I often see
20:04like Tik Toks are short for uh reals
20:07where it's like let me tell you how I
20:09make $75,000 a month uh as a creator and
20:12like hooks you in. I'm like how does
20:13this person make $75,000? Then I go and
20:16it's like well I made $800 a month in
20:18brand in uh in affiliates. I made $6,000
20:22a month in uh X uh revenue share. I made
20:28I think that's 60,000 and only fans.
20:30Yeah, 60,000 and only fan. No, it's
20:32usually 60,000 of brand sponsorships.
20:34>> Okay.
20:35>> I believe that we're entering what I
20:37call the age of the multipreneur.
20:40>> So a multipreneur is someone who owns
20:42multiple businesses, multiple lines of
20:44revenue. I will say I think that you
20:47know like creators the multipreneur is
20:50going to have one product one service
20:52one business unit that you know drives
20:55the lion share of revenue but I do think
20:58that they're going to have multiple
21:00businesses and if you can have agents
21:01running it and you can create a high
21:03margin business and a whole system
21:05around it um I think that's pretty cool.
21:09You talk a lot about boring ideas and uh
21:13trying to go after things other people
21:14aren't thinking about. How how do I go
21:16about finding and identifying a boring
21:19idea worth spending a lot of time on
21:21fixing? I like boring ideas because
21:26I don't like so much competition. And
21:30the context here is I'm not talking
21:32about you know you're a Palo Alto guy
21:34now you know Silicon Valley you're
21:36thinking big. So, I'm talking about the
21:39ideas that maybe you can do a million a
21:41year, $5 million a year, $25 million a
21:43year, which for a lot of people is
21:46incredible. Yeah.
21:47>> Um especially if you make it a AI native
21:51businesses and you end up having a $20
21:53million a year business spin off $5
21:56million a year and you can sell that
21:57business for $20 million very easily,
22:01you know, at a 4x multiple. So, um I
22:06like boring businesses. I think there's
22:08not that much competition in it. Um
22:12that being said, um
22:16there's been increasingly amount of
22:18competition in boring businesses because
22:21people like me have been like
22:23>> talking about it,
22:24>> talking about it.
22:25>> Um I think though where there's always
22:28going to be opportunity is a boring
22:31business in your geography. So I think
22:34geograph you know there might be a lot
22:36of uh competition in South Florida or in
22:38the Bay Area or New York or whatever but
22:41I think in you know where I'm from in
22:43Canada or in you know other geographies
22:46where you can take these concepts
22:48localize the language that's another big
22:50piece of it.
22:50>> Um
22:52>> you know there's this there's a story um
22:56that I really like. So, I'm from Quebec,
22:58and in in Quebec, it is one one of the
23:02places where people drink the most
23:04amount of Pepsi
23:07>> on the planet. So, why do Quebecers
23:10drink Pepsi instead of Coke? And they
23:12did some research to understand why. And
23:15it has to do with marketing in a local
23:18language to people in a way that, you
23:22know, really resonates with them. So in
23:25the 1960s or something when KO came to
23:27Canada, they basically did all the ads
23:30across Canada or or when KO started
23:33marketing with television in Canada,
23:34they did all the ads in Canada and they
23:37were all the same. And when they went to
23:39Quebec, they speak French in Quebec.
23:41They just translated the the ads into
23:43into French.
23:44>> And it's a different culture. And what
23:47works in Toronto might not work in
23:49Montreal. So what Pepsi did was
23:52different. They hired a local agency to
23:54do it and they basically said we're
23:57gonna, you know, we're just going to do
24:00something specific to Quebec that's
24:02really going to resonate with them. And
24:04it's almost 65 years later, people to
24:08this day still drink Pepsi.
24:10>> So going back to in the age of AI,
24:13boring businesses. I believe that you
24:16know local localization
24:19marketing towards different geographies
24:22but being AI native there's a lot of
24:24opportunity there and localization is
24:27one of the first killer
24:31AI uh use cases that it solved. I felt
24:34like like we within my startup we had
24:37spent hundreds of thousands of dollars
24:39on building localization tools pre AAI
24:41and we just rebuilt them and in a matter
24:45of like 3 weeks and it is like in and
24:48it's all like translated in real time
24:50like it's incredible and I mean we had
24:53really smart people that were working on
24:54it before. It's like this is something
24:56that the the tools solve really well.
24:58It's a really hard problem that the
24:59tools like can really automate. You've
25:02talked about this idea of a builder
25:04distributor.
25:05>> What is that?
25:06>> Oh, well in the hai anyone can build,
25:09right? Like all if you can you don't
25:12even need I was going to say if you can
25:13speak English, you can build. But you
25:14don't even need to speak English. You
25:15can speak any language and you just
25:17prompt
25:18>> to build. How do you compete in that
25:20world? Well, the way to compete is if
25:23you understand distribution quite well.
25:26So if you understand how to create
25:28scroll stopping Instagram posts or
25:31videos that people like or um you
25:35understand how to use cling which is a
25:37video model to create like really
25:39interesting commercials um and then use
25:42that to uh connect that with meta ads
25:45and and start you know pumping ads then
25:48you have an advantage. So I believe that
25:50this like builder distributor combo is
25:55is probably the most lethal type of
25:58person in the AI age because they they
26:02understand distribution. They understand
26:05how to capture attention and how to
26:07convert that attention into uh revenue
26:10but they also understand how they can
26:13drive value from a product perspective.
26:15The product has to be good and the bar
26:18for good products is increasing and
26:19increasing especially when it comes to
26:21digital products. So you have to be able
26:24to take feedback, optimize, create
26:26features, have that loop. And so I'm a
26:30big believer in that type of person. Are
26:32the AI tools to the point where they can
26:35help you build the product and then if
26:38you feed feedback into them, it can sort
26:41of create the product and the features
26:45that your customers and users are asking
26:47for and then like deploy them and then
26:49get more feedback. like is that loop
26:51solved yet or is it still coming?
26:53>> This is a bit like in the minutia but
26:56we're going to go there. There's a term
26:59that actually uh Andre Carpathy and
27:03Peter Stein uh I think his name's uh
27:06Peter Stein Brener I think uh from
27:09OpenClaw the guy who started OpenClaw
27:11they've been talking about this concept
27:12called loop engineering
27:14>> and it's just basically this way to tell
27:17your LLM to just keep going and building
27:21on a loop
27:23>> and
27:25Twitter just went like completely
27:27completely
27:29uh just love this concept. To me that
27:32concept is it's interesting but it's way
27:34more interesting for business use cases
27:36not engineering use cases. So loops are
27:39actually really interesting in the
27:40context to what you were talking about.
27:43Say you're able to say you started a
27:46company you have a product
27:48and every day you can speak to 10
27:50customers. Well, in the AI world, you
27:53can actually speak to these 10
27:55customers, have meeting notes that get
27:58synced to, let's say, uh, Google Docs or
28:00Google Drive folder,
28:02>> and then you can set up a loop that
28:04says, look at this, look at every day,
28:07look at this docs folder, then uh, that
28:10customer feedback docs folder. see what
28:13people like about the product, see what
28:14people don't like about the product, and
28:16every day pick the most interesting
28:18problem to solve and create a feature so
28:21that I can review it and it'll go and do
28:25that on a loop every single day. Now, in
28:285 years or 3 years or two years, we
28:30might get to a point where you don't
28:31even need a human in the loop. You might
28:33have this autonomous
28:35company
28:37builder type of experience where you
28:41basically just you basically say like
28:43your goal is to generate revenue
28:46>> uh or your goal is to create retention
28:47or your goal is to uh drive virality. Go
28:51look at customer conversations every
28:53single day and go pick one feature to go
28:56and build these people. By the way,
28:58isn't that crazy? It's crazy. Like,
29:01isn't that isn't all of this crazy?
29:04Like, we we're all so numb to all of
29:06this. But like, I'm basically telling
29:08you that you can essentially press a
29:10button that every single day you're
29:13going to be able to drive value for
29:16customers. And all you're going to have
29:18to do is interface with customers, help
29:22customers, get them to tell you their
29:26problems, and then on a loop, you're
29:29going to have the world's greatest super
29:32intelligence at a fraction of a price
29:34that you would pay a team. We're talking
29:36about a dollar an hour, $2 an hour, even
29:38less.
29:39>> And you can have it every single day
29:41drive value for customers. And all
29:43you're going to have to do is we're sit
29:45there from your high chair in the 38th
29:47floor looking at Miami Beach and you're
29:50just going to be like, you know what,
29:51that's a good feature. Good job, Hermes
29:54agent. Yeah.
29:55>> Go and deploy this. It deploys it and
29:57then you drive value to customers lives
30:00every single day. Where in the past it
30:02used to take you millions of dollars
30:04that you had to raise venture capital
30:06for. You had to hire a team. There was
30:08just as many bugs if not more bugs. And
30:11now you're driving value every single
30:14day and making the lives of your
30:16customers happy and healthier. And
30:17hopefully you can even give them a
30:21cheaper product cuz now your cost
30:23structure is a 20th of what it used to
30:26be. How how amazing is that? I a few
30:31months ago I sat down with my son who
30:33works at a basketball card store and
30:37they have no inventory and so like
30:40management they have no software for it.
30:41So we're like, "Oh, let's let's just
30:42play around with one of the vibe coding
30:44tools and and see what we can build."
30:47And in a matter of three hours,
30:51I just like leaned back in my chair and
30:54I was just
30:56I like I was like my mouth was like
30:59gaping open. I I couldn't believe it and
31:00my you know my teenage son is like
31:02what's the deal? And I was just like
31:05when I 15 years ago when I first quit my
31:08job and started to build a company this
31:10exact same process took me six months.
31:13It took me three months to find people
31:16to build this with me and then it took
31:18them two months to get a first version
31:21out and then it took another month for
31:25me to give them feedback and then get
31:26another version out. And so like and
31:28that's that's where we are in three
31:30hours and it was like 200 bucks in
31:32tokens or something. That's the other
31:35people that's the other thing that
31:37people don't talk about this AI age
31:39which I think is so important which is
31:41in the past you needed to have graduated
31:45Stanford went to Harvard lived in
31:46Silicon Valley in order to create a
31:49startup tech startup that can scale.
31:53Today you can be anywhere. You can be
31:56anyone. You can be 15 years old or 85
32:02years old. And that to me is awesome,
32:06right? The fact that like when I wanted
32:09to start a tech startup, I had to move
32:11to San Francisco. I had to leave my
32:13family and friends and move to a
32:15different country across the continent
32:19to a place I knew no one. And I'm not,
32:21this isn't a boohoo story, but I to be
32:23honest would have rather stayed there.
32:25>> Yeah.
32:25>> Like, you know, but I had to go and do
32:28that and it was a fun experience and
32:30stuff like that, but at the same time,
32:32it's so cool that people are able just
32:34to wake up today and the limitation that
32:37people have is just their ideas.
32:40>> Yeah.
32:41>> Whereas in the past, there was all these
32:43societal limitations that were were
32:46placed. You needed a VC to basically be
32:48like, you know what? I like this. I like
32:51the school you went to. I like this
32:53product. I'm going to give you a million
32:54dollars. And you just needed the right
32:56VC at the right time to tell you that
32:59thing. And what kind of world is that,
33:00right? Like I hate that world because
33:02like to me that's a non-inclusive world.
33:05Yeah. They're they're gatekeepers.
33:08They're basically we're gatekeepers to
33:11uh to making dreams and ideas possible.
33:14Yeah. and and the gatekeepers now with
33:16AI, it's like democratized
33:18like who can do what because the
33:20barriers of entry are so much lower.
33:22Exactly. And I'm not saying like
33:24building a ventureback company is bad.
33:26I'm not saying like VCs are bad at all.
33:28You know, some of my best friends are
33:30actually VCs and and I've run
33:32ventureback companies and sold
33:33ventureback companies. So, I'm not
33:34saying uh it's a bad thing. What I am
33:37saying is it's no longer the only model
33:40for building these kind of companies. It
33:42is amazing that there's now this whole
33:44other set of opportunities that are now
33:47presented and you you know some people
33:50like pizza and some people like pasta
33:52you know and now the people who like
33:55pizza can go and eat some pizza and they
33:57can be whoever. Well, and the reality is
33:59the venturebacked model works for like
34:03less than 1% of all companies that are
34:07created. And of the companies that VCs,
34:10investors back, only like a very small
34:13percentage of the ones they back, and
34:15they're only backing like a small
34:16percentage of the ones they look at. So,
34:18we're talking about a very, very small
34:19group of people. Only a small percentage
34:20of the ones that they back actually work
34:23and return the money. And they know that
34:24their whole model's baked into that. So
34:27the vast majority of of anything anyone
34:30is building should not be that model
34:32like it because that model only works
34:34for this tiny fraction of people and
34:36companies and is having raised a bunch
34:39of money on a bunch of different
34:40companies learned the hard way that some
34:42of the things we've raised for should
34:44not have been venture back like we
34:46should have done this other model but
34:48like one of my companies the first time
34:49I raised was because this exact problem
34:52we're talking about like I had six
34:54engineers and I They had 300,000 in
34:57recurring revenue and the engineers were
35:00let's call them 100,000 each. So it's
35:02like the engineers are costing 600
35:04grand. The recurring revenue is 300
35:05grand. Like doesn't take a genius to
35:06figure out like the math doesn't work.
35:08It was like this golden anchor that was
35:10going to sink our entire ship. And in
35:12the middle of the night I had to be like
35:14I had to email anybody I could find or
35:16I'd ever talked to and say, "Hey, I
35:17think I got a cool concept. Could you
35:19back this?" But it probably was never
35:22going to be a billion-dollar outcome for
35:24anybody. In which case, if I could have
35:27bootstrapped it, I would have. But it
35:28was like, you know, just like the cost
35:30didn't make sense. Now today, if we'd
35:32had that same insight and we'd had maybe
35:34two or three of us
35:37engineering and building the product
35:39with these other things, supplementing
35:40it, like we could take it so much
35:42further and and maybe we could have, you
35:44know, you could you could bootstrap the
35:46whole thing. And that's how you build a
35:47real business, right? It's like it makes
35:49money like it it provides service
35:51customers like enough to keep paying for
35:52it or to pay more for it. They tell
35:54their friends, you know, that creates
35:55more momentum. You know, no VC is going
35:58to, you know, create customer traction.
36:00And you see, I thought when the social
36:02network movie came out in 2012, I was
36:04like, this is peak startups. Like I
36:06remember going to the movie and I walked
36:07out in the parking lot and I was like,
36:09that's it. Like this is like jump the
36:12shark. And then startups just exploded.
36:15But actually the the value of startups
36:17exploded and the the market size
36:19exploded but actually the number of
36:20startups getting created didn't explode
36:22but that is now that was like 2012 I
36:25think or 2011 now it's 15 years later
36:29and actually we see the like the app
36:32store um app submissions is like
36:34exploding people are like creating apps
36:36like crazy um you see the stripe numbers
36:39of new businesses that are creating and
36:40the number of businesses that are
36:41creating is exploding and I I mean, what
36:45else do you point it to other than like
36:46this age of abundance and opportunity
36:48that now has been unlocked with AI?
36:50Exactly. Like when I see the Stripe
36:52charts and stuff like that and the app
36:55store charts, it's exactly what I'm
36:57talking about around the age of the
36:59multi-reneur. It's like the cost to try
37:02an idea is now so small that if you're
37:06listening to this, you should probably
37:08try an idea. You know, like you should
37:11even if it's hey the goal of it of this
37:16endeavor is to get really good at cla
37:18code and that's my KPI or have a hundred
37:22just happy customers. Like you don't
37:23even need to do it to make money but
37:25just to like learn or you know it's sort
37:28of like playing an instrument. Like it's
37:30fun to learn how to play an instrument
37:32cuz once you master the instrument it's
37:34awesome. Yeah.
37:35>> And like I'll be honest, when you start
37:38playing an instrument,
37:40it sucks. It's you you're you're let's
37:44say you're trying to learn how to play
37:45guitar. You're listening to it and
37:47you're like, "This is horrible." Like I
37:48learned how to play guitar. It's like I
37:50used to hear myself playing guitar and I
37:51was like, "This is making my ears
37:54absolutely bleed." And you sort of bleed
37:57through how bad you are. And eventually
37:59you get to a point where you're playing
38:00like stairway to heaven and it's this
38:03magical moment. And that's how you're
38:04going to feel when you build an idea
38:06with AI. And that's kind of also what
38:09which what fires me up about people
38:12building not just to start a business
38:15>> but also just to learn. I have a friend
38:17in Dubai and he's really talented
38:19entrepreneur. He's raised some money for
38:21a startup, but he had this engineering
38:24team. Then he ran out of money and he
38:27couldn't raise more money and so he had
38:28to let his whole team go. And it's just
38:30him. This is like eight or nine months
38:32ago. And I spoke to him recently. I
38:35haven't talked to him in a few months.
38:36And he was like, he's like, "Man, eight
38:38or nine months ago, my whole team, I had
38:40to let them go and it was the worst
38:42thing ever." And I didn't know what I
38:44was going to do. So I just started
38:46learning how to claude code
38:50>> and he's like I've completely reinvented
38:53the whole thing. He's he's now this is
38:55like you know this is like you and you
38:58can do this too. He he he's like in the
39:00process of his company getting acquired
39:02for millions tens of millions of
39:05dollars. I mean this is this is says
39:08much more about him than anybody else.
39:09like I couldn't have done what he's
39:10done, but just that this is even
39:13possible. And he's like I'm like well
39:17when you get to this new organization
39:18like you can probably have a team. He's
39:19like I don't I don't want a team. Like I
39:22I'm doing everything. He's like okay
39:24like even everything is part of the
39:26sales process now. He's like hey all the
39:28docs for it they're all in this tool
39:30that I built. You can just go in here.
39:32He's like build his own Carter thing,
39:34you know? It's like everything now he's
39:35like so he's so self-sufficient. He's so
39:38self-reliant and like he can literally
39:42do anything. Nothing is stopping him. No
39:44one is blocking him. And anytime
39:46something comes up, he's like, "I'll fix
39:48that." Myself. And six or nine months
39:50ago, like he couldn't have said that.
39:51And I probably not everyone is as
39:54resilient as him. I certainly am not.
39:56But can we be 10 20% of that? Like yeah,
40:00you can you can be 10 or 20% of that.
40:03But like you said, like you just have to
40:04get out and do it. And I've interviewed
40:06people. One of my favorite questions
40:08asked now I was like tell me what tools
40:10you're using. Um, I had an engineer
40:12recently who asked for a big raise and
40:14wanting to be called in an AI engineer.
40:16And I said, "Screen share your cloud
40:20credits. Let me see how much you're
40:21using. Like, what are you doing?" And it
40:23wasn't super positive thing for him to
40:25show, which was not to make him feel
40:27bad, but it was to then say, "Hey, like
40:30let's improve. Let's change. What can we
40:33do? Let's talk in two weeks, let's talk
40:35in four weeks." Immediately, like that
40:37day, like he started using AI more. they
40:40started shipping more. Um, but I do
40:42still interview people and they say like
40:44I say like what tools are you using and
40:46it is shocking to me but they'll say
40:49nothing. Like I'm not I'm not using
40:51anything. I'm like you're not using
40:52anything. You haven't tried? No, I
40:53haven't tried anything. Well, what are
40:55you interesting about? What are you
40:56reading about? I haven't read I I've
40:58literally had this in interviews like I
40:59haven't read any I haven't seen anything
41:01that I'm interested. I'm like well then
41:04you're in a bad spot professionally
41:06because you've got your head in the
41:08sand. Meanwhile, there's all these other
41:10people like my friend Simon and others
41:12who are like changing the way they were
41:14completely reinventing the way they're
41:16they're building products and services
41:18and making money and like they're going
41:21to win. those people were clearly gonna
41:23win. And and so it's honestly it's not
41:26it's not even surprising to me that most
41:28people are still not
41:32really diving into the tools because
41:36the truth is it requires
41:39I'm not going to say 10,000 hours but
41:40like a thousand hours
41:42>> really that much. I think there's the,
41:44you know, thousand Eisenberg's
41:45thousandhour rule, you know. Yeah. Uh,
41:48you need to like really put yourself
41:51through stuff not working. Um, pushing
41:56stuff into the world, seeing how it
41:58works,
41:59>> you know, playing, reading about it,
42:00studying, go watching other people, all
42:02that stuff. It just takes time. And it's
42:06sort of like, you know, going back to
42:08like the guitar analogy, like how many
42:10people like music? Everyone. Everyone
42:13listens to music. How many people play
42:15an instrument like a guitar? I don't
42:16know 1% of people, 2% of people. Playing
42:20the instrument is difficult cuz like I
42:24like I was saying, you have to go
42:25through this trough of despair for a
42:28really long time before you end up
42:30feeling good about it. There's instant
42:33gratification when you use chat GBT. if
42:36you ask it a question and you get
42:38something back like you you sort of see
42:40the value and it's it's obvious but
42:42there isn't the same instant
42:44gratification that you get for becoming
42:46AI native which to me is you have a set
42:50of jobs to be done and set of workflows
42:54that you do as a human being and you've
42:56now basically said hey in a world where
42:59I'm managing 100 agents what does that
43:02look like if those agents are fulfilling
43:05the work and that actually is somewhat
43:08complex, somewhat tiresome to go
43:10through, somewhat difficult to really
43:12like
43:14fine-tune to a place where it's doing
43:18good work. Put yourself in this scenario
43:21for a minute. You're fired from your
43:24job. You're told you're not employable
43:27anymore. Your skills just aren't what
43:30they used to be. You've got 90 days to
43:35create something for yourself. It might
43:38not be totally sustaining you ever every
43:40every aspect of your life, but you've
43:42got to start generating some income in
43:44the next 3 months and you're starting
43:47from scratch today. Where would you
43:49begin? The first thing I would do is I
43:54I say this uh often which is you know
43:57marry
43:59mar mar mar mar mar mar mar mar mar mar
43:59mar mar mar mar mar mar mar mar mar mar
43:59marry the niche date the product. So I
44:02would pick a niche that I
44:05love and I feel like I have some unfair
44:07advantage in. Now someone listening to
44:10this is might be like well I don't have
44:13an unfair advantage in anything and it's
44:16like everyone has some advantage to
44:19someone else in the sense of you're from
44:22a specific neighborhood. You went to a
44:24specific school. You know these people
44:26you you um you're you're
44:30good at guitar. you're bad at, you know,
44:32you're there's something unique about
44:34you that that you your life experiences
44:39have led you to this point and you have
44:40that
44:42that so I would figure out what my step
44:45one would be figure out what my niche
44:47is.
44:48>> Step two is I have this framework I call
44:51the ACP framework, audience, community,
44:54product. And I believe that if you're
44:56building a business in the AI age, you
44:58want to build a business that follows
45:00that framework.
45:03Every business I starts as a X account.
45:07It starts as an Instagram account. It
45:09starts as a Tik Tok account. It starts
45:11as an audience first. Because in the AI
45:14age when you can build anything, the
45:16mode is in a lot of ways the
45:18distribution. So what I would do for the
45:20first 90 days is I would make it a goal
45:23to figure out what is the format that is
45:26going to get my niche to
45:31follow me. So on my Instagram for
45:34example, it's like follow Greg Eisberg
45:38for startup ideas in the AI age. That's
45:40what like my bio says. So like that's
45:43the that's my niche, right? What is what
45:45is your niche? what you know that's the
45:48that that's what I would be thinking
45:49about and then a community which which
45:52is once you have your audience you know
45:54how do you convert a small amount of
45:56them into an IRL or digital community so
46:00that would be my second step and my
46:02third step is once I understand this
46:04audience once I I've gotten a few
46:07hundred followers a few thousand
46:08followers a few people in my community a
46:10WhatsApp group you know a local meetup
46:14then it's what is the product or service
46:16I build for them. And that's not going
46:18to take long. Like the building is only
46:20going to take a day or something, right?
46:21And then it's just, you know, for me,
46:24it's prioritizing what's a business
46:26model that makes sense that I think
46:28people really need that's a a
46:30painkiller, not a vitamin
46:32>> that I think I can sell in a relatively
46:35uh short cycle. And that's what I would
46:39do. And I would wrap that around how
46:42would I come up with the idea? It would
46:43be a mix of uh what we talked about
46:46around asking customers what they want.
46:49It would be a mix around bringing in
46:51MCPs like the XMCP and the idea browser
46:54MCP and just trying a bunch of different
46:57products to see what what could work.
46:59>> What failure or apparent failure led to
47:02a big success for you?
47:04>> The first thing that comes to mind
47:06honestly was
47:10I basically I lived
47:12I lived in this little neighborhood. I
47:14think I must have been like I don't know
47:167 years old and I was really into
47:19baseball
47:21and uh
47:24I was really good at baseball honestly
47:26especially cuz I was in Canada so like
47:28no one's good at baseball you know not
47:29that many people are good it's not like
47:30in the states you know like people
47:32people played hockey right yeah so
47:34anyways I was pretty good at baseball um
47:36I tried out for the team
47:39>> and I played amazing like the try out I
47:43just like I think Hey, you know, I don't
47:45know. It was like I was at bat four
47:46times. I think I got like three triples
47:48and a single, you know, and I had a
47:51smile on my face the whole time. I was
47:52It was good teamwork. I, you know, I
47:54left the try out being like, "Crushed
47:56it. Crushed it. This was amazing. I'm so
47:59excited." And it was like the first year
48:02where we get our own jerseys. And I just
48:04like pictured myself in these jerseys.
48:07Walk into school the next day just like
48:09with a little bit of swagger in my step.
48:12Then I get a call that night from the
48:15coach and he was like, "Sorry, you
48:18didn't make the team."
48:20And when I found out, I was like, "I
48:23didn't make the team. Like, who took my
48:25spot?" Turns out it was the coach's
48:28son
48:30made the team for the shortstop spot.
48:34And he was like a year younger and also
48:37just like a very he was a year younger.
48:40when you're six and seven, that's like a
48:42big deal.
48:43>> Sure.
48:43>> I learned a very valuable lesson that
48:45day, which was
48:47the world is unfair.
48:50Um, sometimes you could
48:53hit really well, do really well in life,
48:56do all the right things, but sometimes
48:58just the way the cookie crumbles
49:01is
49:02some gatekeeper somewhere does
49:04something, some VC doesn't want to fund
49:06it even though they said they'd fund it.
49:08You know, there's a million things that
49:10could happen in life and that are out of
49:13your control. And that was such a
49:17monumental
49:18formative experience for me. What I
49:22learned from it
49:24was was that was basically just like
49:27being okay with the fact that not
49:30everything is in your control. What's a
49:31lesson in life that's been hardest for
49:33you to learn? Not everything in life is
49:35is in my control. I mean, I think as
49:38human beings, we want to control things,
49:41right? Like what I love about using a
49:44computer is that I can control it in the
49:47sense I can tell it to do it certain
49:49things and part of that makes me in the
49:51flow state of like I feel relaxed when I
49:55when I do it. I think human beings want
49:57to feel relaxed. We want to
50:00there's a certain amount of pressure
50:02that exists when we are in a volatile
50:06situation and I think we all want to be
50:08away from that. So
50:11you know I always say it's kind of like
50:14in some ways you want to live your life
50:17you want to live a light life and in
50:20that sense like you don't want to feel
50:22like you have all these like
50:23dependencies and external pressures and
50:25stuff like that. So that's been hard
50:27hard to deal with. At the same time, you
50:29also want to fulfill your potential. You
50:32know, you don't want to do you don't
50:34want to not do things because you're
50:35like, you know what, that's going to
50:37invoke a whole bunch of external
50:39dependencies and like I don't want to
50:41deal with like if that goes wrong. So
50:44dealing with those two things has been
50:46something that I I spend a lot of my
50:47time thinking about.
50:48>> What's a limiting belief that you still
50:50wrestle with today? In my mind, I have
50:53like two sets of inspirations. So, I
50:57have like the the Silicon Valley greats,
51:01like the people who built Silicon
51:02Valley, the people the biggest
51:04billionaires on the planet, the biggest
51:06founders on the planet, the people doing
51:07big things, the Jensen Huangs, the Mark
51:09Zuckerbergs, those types of people. And
51:12the other end of the spectrum, I have
51:13like my, you know, my grandfather who
51:16had like, you know, a small business
51:18that, but he he he he led his life on um
51:24his own terms. I you know I don't know
51:26if it's a limiting belief being like I
51:28want to own a bunch you know a bunch of
51:31small businesses
51:32>> but like I I I just what I deal with and
51:36I'm not really answering your question
51:37but I feel like the struggle I have is
51:40deciding where on the spectrum I want to
51:43be. So is that a limiting belief?
51:46Perhaps
51:48you could say that my limiting belief is
51:51I'm not thinking big enough. Um, that
51:54being said, I live a life that I love
51:57and that I I think Virgil Abau uh used
52:00to say like I live a life that makes
52:03your 16-year-old proud.
52:05>> Like my 16-year-old self is I think
52:07would be extremely proud of what I've
52:10accomplished and what I what I do on a
52:11dayto-day. So, it's kind of like I don't
52:13know where that's where do you feel
52:15fulfilled?
52:16>> Yeah. Yeah. There's a study that said
52:18that like vast majority of people don't
52:21live within their means. They don't live
52:23within even rich people like really
52:25really rich people who don't like a
52:27large percentage of really wealthy
52:28people still don't live within this
52:31incredible life they created because
52:33they're always trying to get more.
52:35They're always trying to go for more.
52:36And I I mean I struggle with this too.
52:39And I mean I look I live in Northern
52:41California. So you know what is enough?
52:44And then what what am I like what's
52:48right for me? And that's that's only a
52:51question that I can answer. and what's
52:52right for Mark Zuckerberg who I used to
52:54live down the street from and I was
52:56renting but he he owned he owns like
52:59eight homes there. Um but I mean that
53:02was like a very real every day would
53:03drive home and I would drive past his
53:04house and his security guard and be like
53:08we live on the same street. I we sleep
53:10we both sleep on a bed like we're both
53:14breathing the same air but you know is
53:17it enough or do I have to go be that?
53:19And I think that's that's one of these
53:21existential questions of life is just
53:23coming to terms with who you are, who
53:25you uniquely are and then like being
53:27comfortable with that.
53:28>> Yeah.
53:28>> And coming to terms with that.
53:30>> Yeah.
53:30>> And if it's Grant Cardone, it's like
53:34it's always like, you know, in our
53:36interview, we spent a lot of time
53:38talking about the yacht. He wants he has
53:40he's like gunned for the question is
53:42like could you just rent I mean you he
53:44could afford to rent the yacht but he's
53:45like really got to own it and like well
53:48he's at the other end of the spectrum
53:49right he's he's trying to do big things
53:53and a part of that is like I don't know
53:55him or or know him well but my my
54:00what I've gathered from people who do
54:03those big things is they there's a
54:05certain lifestyle attached to it. It's
54:07like I think it's like that's what's
54:08right for him and actually like the
54:11answer is like you could say that's the
54:14wrong thing for him to go after but
54:15actually I think for him it's the right
54:17thing for him to go after because that's
54:18how he's wired.
54:19>> It's not really how maybe I'm wired or
54:22you're wired
54:22>> maybe. And you know it's sort of like no
54:25one knows except Grant.
54:27>> Right.
54:28>> Right. So if he's if he's being if he's
54:30being honest I mean I guess if he's
54:31being authentic to what he's saying like
54:33like and I think he is I think he's very
54:36authentic to who he is like he is the
54:38guy that you see and I've you've watched
54:41and that I've listened to his books like
54:43>> I don't know I spent two hours with him
54:46he seems to be that guy I can only speak
54:48to myself and what I've learned is the
54:51most honest version of myself is the
54:54version that you see today when I raised
54:56venture capital and I was doing the
54:58Silicon Valley thing. I was doing it
55:00because I thought that that's what I
55:03needed to be in order to be successful.
55:06And then I realized that I don't I don't
55:09need I can be whoever I think is
55:11interesting, cool to myself, even if
55:14it's uncool,
55:15>> you know, I could just do things that I
55:17think are interesting to me and make a
55:21living doing that. And and that's what
55:23makes me happy.
55:24>> When someone says your name in 50 years,
55:26what do you hope they say next? I would
55:28say he helped me.
55:30That's it. You know, if I can help
55:32people, I want to serve people. Like I
55:36always say like I live to serve.
55:38>> And you know, on my YouTube channel or
55:41on my podcast, like when people comment
55:43stuff and they're always like, "Thank
55:44you so much. Like I never knew this like
55:45tool existed or this idea like changed
55:47my life. I found an idea off your
55:49podcast.
55:50Now I'm doing 100k a month." And I
55:52usually just respond like my default is
55:54I live to serve. I think that if human
55:56beings live to serve, you know, we live
55:59in such a polarizing negative place that
56:03in some ways that if we can live to
56:05serve, I think the world hopefully would
56:10be a little a little bit better. Outside
56:12of family, who's the person you most
56:13admire?
56:14>> I don't know if I admire anyone.
56:16I have respect for a lot of people
56:20and I'm inspired by a lot of people.
56:22admire like that feels like like it's a
56:24muse, you know what I mean? Like I have
56:26someone on a pedestal.
56:27>> Yeah.
56:28>> Um I I I wouldn't I wouldn't say I have
56:31anyone.
56:32>> If you could implant one idea into
56:33everyone in the world, what would it be?
56:35Live to serve.
56:37Live to serve. If you can
56:40if you can find something some like we
56:43talked about, you know, marry the niche,
56:46date the product. If you can find a
56:47niche group of people that you really
56:50care about and you can serve them and
56:52add value to their lives,
56:55to me that's a life worth living.
56:57Hardest thing you've ever accomplished?
56:58The hardest thing I ever accomplished
57:00was is just being truthful to myself.
57:03Like not getting We live in such a a
57:06world where there's so much tension over
57:09here, tension over there. Come here, do
57:10this, do that. And I find it difficult
57:15to
57:17like put blockers on. Like you you I'm
57:19sure you've seen pictures or seen horses
57:22that have like blinders on and they just
57:24like go run. Like to me that's been the
57:27hardest in life to basically be like,
57:29"Okay, I have these three goals in life.
57:32Be an incredible father and husband. uh
57:35say um you know serve 10 million people,
57:4010 10 million entrepreneurs by giving
57:42them ideas and tactics and stuff like
57:44that and give back to my community um
57:48from like a philan philanthropic
57:50perspective. I just want to do those
57:52things, you know what I mean? And
57:54sometimes life has this way of being
57:56like you should go over here, you should
57:58go over here and I'm trying my best to
58:00stay focused. Best advice for overcoming
58:03hard things. the people that love you
58:05the most. And it's interesting because
58:07the people that love you the most, you
58:09go to them the least for advice,
58:13>> for example, like your parents, your
58:16aunts and uncles, your cousins, the
58:18people you grow up with, you know, I
58:20think I wouldn't discount
58:23those people's advice to help you get
58:27you to where you want to go. It's really
58:30smart. Actually, a close friend of mine
58:33told me that one time that my dad had
58:35told him that he didn't think I asked
58:38for his advice very much. And I think it
58:40wasn't something naturally like just I
58:42done on purpose. I just hadn't thought
58:44of it. And so I've started doing that a
58:46lot more since they made that comment.
58:48And I've it's been really helpful that I
58:51mean it's my answer is the nonviral,
58:54non-clippable answer that I think is
58:56truthful. The answer that I could have
58:58given you that would like go viral would
59:00be like the people you grew up with just
59:02because you live there, you know, they
59:05they don't love you and you know your
59:07parents choose your own family and burn
59:10your bridges and and it's like picking
59:13where you are on the spectrum, who you
59:15truly are. Like the people you grew up
59:17with are underrated
59:19and that's my take on that. And that
59:22doesn't mean you can't have people
59:25uh you know you can't create a spectrum
59:27of people you get advice from, people
59:29who love you the most and people who you
59:31admire or look up to. But I think that
59:34we tend to model our lives after like
59:37the aspirational people. And we don't
59:40tend to model our lives around the
59:42people who love us the most. If you die
59:44and you meet God, what do you hope he
59:46says to you?
59:47>> You did a good job. And uh and how do
59:50you measure your life? Probably by what
59:52my family
59:56says about me, you know, if if I mean,
1:00:00I'm I'm a I'm a father now. I'm a year
1:00:03and a half old and and assume to have
1:00:05another one uh and a mom.
1:00:09So yeah, you know, as you know, being a
1:00:12dad like completely changes your how you
1:00:14think about things and you really just
1:00:16care about like what your your children
1:00:19think about you and your your partner
1:00:21thinks about you and what your family
1:00:23thinks about you and that becomes
1:00:26so important. Your last dying [music]
1:00:28thought won't be, man, wonder what that
1:00:31Sand Hill Road BC thought of me in that
1:00:33pitch. Well, my last dying thought, I'll
1:00:36have agents running a loop anyways. So,
1:00:39I'll be, you know, hope I'll be making
1:00:40money when I'm dead. [laughter]
1:00:43>> Hey, appreciate you, man. Thanks for
1:00:45having me.
1:00:53>> Give it

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