In short
Podcast Notes: Sourcery - Inside a16z’s $15M Bet on Cluely
Episode Overview
- Title: Inside a16z’s $15M Bet on Cluely: Lead Investor Bryan Kim Reveals All
- Guest: Bryan Kim, Partner at Andreessen Horowitz (a16z)
- Focus: Early-stage investments in consumer and application-layer AI
- Key Investment: Cluely, an AI startup, has raised over $20M with a recent $15M investment from a16z.
Key Themes and Discussions
- Introduction to Cluely
- Founder: Roy Lee
- Product: Invisible desktop assistant that helps users "cheat on everything."
- Investment Motivation: Bryan Kim's personal relationship with Roy Lee and the compelling nature of Cluely's growth.
- The Investment Process
- Initial Encounter: Bryan's first meeting with Roy Lee was casual, focused on building a relationship rather than fundraising.
- Conviction Building:
- Observed Roy's impact on others and tangible results.
- Rapid growth and market momentum were critical to investment timing.
- Insights into the startup's culture during visits to Cluely's office.
- Momentum as a Moat
- Definition: In the current AI era, momentum refers to rapid growth and product velocity, which can protect against competition.
- Philosophy Shift: There is a transition from valuing thoughtful, crafted products to prioritizing speed and market presence due to the fast-paced nature of AI advancements.
- Capital Utilization
- Investment Allocation: Discussion of how Cluely intends to use the $15M, focusing on talent acquisition and marketing.
- Freemium Strategy: Using capital to lower user entry barriers and expand the product's reach.
- Cluely's Marketing Strategies
- Viral Marketing: Cluely's ability to create buzz through “hype media” and leverage platforms for maximum exposure.
- Polarization: The controversial nature of Cluely’s strategy and its effectiveness in attracting attention.
- Current Trends in AI
- Explosion of Creative AI Tools: Growing interest and investment in AI applications like ElevenLabs and Function Health.
- Regulatory Concerns: Discussion of the potential risks of AI, including deepfakes and the necessity of regulating harmful applications.
- Metrics for Success
- Bryan's Key Metrics:
- Velocity: Growth in users and revenue as indicators of product value.
- Revenue Retention: Higher revenue retention than user retention signifies product necessity.
- Product Shipment Velocity: Speed of product updates as an indicator of a startup's potential.
- Future Predictions
- Anticipation for Consumer AI: Expectation of more consumer AI products breaking through the market.
- Impact of AI on Employment: Discussion around potential tech layoffs and future employment trends.
- Final Thoughts
- Building in AI Era: Emphasis on the urgency of building and the potential of AI technologies to disrupt traditional sectors.
Key Quotes
- "Momentum as a moat is reflective of the current environment."
- "If you're building something, build it for the entire world."
- "The narrative will always be about growth versus profitability."
Conclusion This episode provided a comprehensive look at the investment landscape in AI, focusing on the significance of momentum, the evolving role of capital in early-stage companies, and the potential for AI products to reshape consumer technology. Bryan Kim's insights illustrate the dynamic and rapidly changing nature of the tech industry, particularly within the AI sector.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Transcript
Automatic transcript. May contain errors.0:28Bro, how'd you meet bro? People is the first call where we just talk life to actually seeing in person and seeing the effect that he has on other people and just seeing it translate into numbers, which I love. If you're building something, build it for the entire world. And Eleven Labs is an example where the initial market when it was pitched, it was people were like, oh, dubbing. And one of the questions that we had was like, how big is dubbing market? Lovable has this quote, last piece of software, cheat on everything. What does that mean?
1:04Brian Kim, welcome to Sorcery. Molly, thank you so much for having me. Well, we have so much to cover today. We do. Obviously, we need to run through Cluey first. Let's do it. So, Brian, what's up, bro? How's it going, bro? We got to start with bro, if we're talking Cluey. Bro, how'd you meet bro? I think bro, you got to see it with an exclamation, like, bro! How'd you meet bro? Bro, what do you mean? I met bro through two tracks. I was reminded, actually. Paul at 20 BC had introduced me to this crazy Columbia kid. I have an email to prove it. And then one of my scouts and person I really enjoy working with, Ali DeBow, who traffics in young founder community, sort of said, look, I'm very excited about Roy.
1:54And so I reached out. I was like, bro, we should talk. He goes, I don't want to talk. He initially says, sure. And then he changes the stance. I don't want to talk. I'm very early. Like, don't want to talk with you. I don't want to talk with the kings of EC or the dens of capital. Let me just do my thing. Conqueror of the universe. Exactly. So I sort of put on my charming face and say, look, we don't need to talk about fundraising. In fact, I promise we will not talk about it. let's just you and I meet so that we build relationship and talk life. To that, he said yes. So that weekend or Friday, I forget when, but we get on and we have like a 30-minute chat and he's like, I walk away thinking like, it's crazy.
2:40All right, this is going to be fun. And he goes through life story a little bit, like the origin story. Where'd you grow up? What do you do? It wasn't like, I'm building this and it's so exciting. It was more the origin and the coming of Roy Lee. and i thought that was really interesting and so i learned that he had moved to sf a few weeks later and you know when i was in sf i just sort of made a point to say can i come by which he said yes just ross will buy everything's cool so this actually might be the exact way he said it um and so i come by and then i see a couple things there is a uh you know founder that is young founder that are very well-networked in Silicon Valley that is just hanging out.
3:24You're just at the office or house or whatever it's called. And there's an engineer who just happened to stop by at the house because he saw it on Instagram and said, I was just very curious. I wanted to come talk to you. And it was this weird energy where there's these people working feverishly, marketing like ideas on one side and Roy going, oh my God, crazy. And you have like two really accomplished people just coming to talk to him. And I sort of walked away thinking there's something pretty special here. It's not sort of all the noise and jazz. There's actually something substantive here and people are reacting to that.
4:05The third visit, I think I came with steak because the second visit, he was crushing a steak. There's nothing on it. There's no... can't tell i might be from hey costco steak would be good i'm not sure but um i don't think he had anything on it no salt no anything just steak yeah and it was coke and i thought okay this is this this is weird but fun so i'm gonna come bring steak next time i did i did and he ended up showing some you know metrics like oh like this is how we're growing and there's a enterprise interest and there's all these like revenue that they're generating. And that's when it clicked where, you know, people ask like, how do you build conviction over time?
4:49It's over time, right? It's people is the first call where we just talk life to actually seeing in person and seeing the effect that he has on other people. And, and third was really just seeing it translate into numbers, which I like. So that's sort of when it came, came all together. And it's funny. We'll maybe talk about later, but. things are growing too fast right now, right? Everything is growing very, very rapidly from the era of momentum. And as we see that, I have this new theory where you need to catch them at a certain time. We did a lot of work to understand where when things are inflecting, you probably have two to three weeks to catch it.
5:34And by catching it, I mean convincing the founder, doing the diligence, getting to a handshake. And that's really hard to do, one, if you didn't know them before. and two, that's a very short time frame. And so that's when we moved into motion. And we sort of moved very quickly to get to an agreement with Roy before the launch videos and all the viral stunts as well. Super impressive. I think one of the biggest questions a lot of people had in the comment section, which is always fun, was... That's where the internet lives. That's where the internet lives. It's the comment section. And that's why X is so good.
6:12X is literally just the comment section. It is. So in the comment section, the biggest question people had was, what is he going to do with$15 million? And why would an investor put$15 million into this company? So what is he going to do with this money? And how do you gain conviction for that? Yeah, I think you probably asked this question to him as well. It's interesting. Venture is a little bit of triangulation art, right? It's not just, hey, tell me exactly what you need. I'll give you that X amount plus 20 % for buffer, and here you go. Because sometimes that doesn't work for a fund like us.
6:47We do have some ownership requirement given the size of the fund and how big we need to believe the company becomes. And there's some triangulation of where that needs to work. So maybe the founder says, hey, I have a need for$30 million, but that risk profile doesn't work for us, and we can only afford less amount. And the opposite can be true where, hey, maybe I just need two, but maybe you want five because the ownership requirement, everything sort of works. That would be the only way that worked for us. So part one, there's a little bit of triangulation there. Part two, I think if you think, hey, you met Roy and the internet has met Roy, he's a very ambitious, very ambitious founder.
7:31And for very ambitious founders, it's interesting, especially when gross is so quick, capital actually allows you to do certain things. And I'll give you one example would be actually lowering the hurdle for your product to be used in more of a free manner and turning a little bit more into freemium where you know there'll be a conversion, you know the people who convert will be retained, but you actually expand the product surface for people to try. And so that's one way to think about utilizing capital. The other ways to think about it is actually, you know, I sort of wrote this piece, momentum as a mode.
8:11And, you know, extra capital does give you ability to, and you need to sort of obviously work with founders who are thoughtful and have a very clear idea on how they want to use it, whether it's marketing or product building or hiring the best people. And I think that's exactly where it's being used, right? The 50 in turn is kind of a joke, but also there's a bunch of top-tier engineers that are knocking down the door. So part one, talent. And talent is, one, expensive, but also there's a little bit of signal when funds like us come in where they say, okay, that's a good place to go. So one is talent, two is marketing, and three is building up the product.
8:52So that's sort of how I think where the money's going to go. They are particularly polarizing. with the polarization they've done yeah you wouldn't believe it but they uh they do pull some stunts i love his framing on this and the shift of between different platforms so what you see on instagram and tiktok their content wouldn't it wouldn't be polarizing yeah but they found this this kind of wedge on x where yeah people are like a little bit more excited by it they're a little bit more provoked by it because they're not used to seeing it. That's one thing. That's the media scope. Sure. The question I asked him was, okay, so are you concerned about your professional risk with those and what you feel will be too risky for your investors, your institutionally backed?
9:47How do you think about those stunts with venture capital and raising money from an institution like A16Z. Yeah. So maybe we'll talk a little bit about how Roy thinks about it, which is, you know, the difference between the tolerance, if you will, of the spiciness of the content, whether it's in Instagram, TikTok, or Twitter. And I think Twitter is probably a little bit more polarizing, or X is a little more polarizing, and people react with a lot more animation, if you will. So I think he sort of figured that zone pretty well. And that zone to me is probably pretty wide, right? It's not like this exact type of content will work and that type of content won't work.
10:33There's some range of content that will work. And he's sort of tiptoeing around those areas to figure out what works. And I think sort of you learn through experience a little bit there. So that's part one. I think, too, is your question is how do you think about sort of when it's institutionally backed? Like, what are some of these stunts? And I think the way I think about it is this. Ultimately, we want to back companies that become generational and become very, very large. And a lot of the origin story of companies can be questioned when looked back from the history or from current looking back.
11:10Like Facebook started with Hard or Not, Snapchat's beginning at Stanford campus was, you know, they had a very specific utilization element. And, you know, I think a lot of these products, when you look back to the origin, there's questionable elements where, oh, like, is that really the right, you know, use case for it? And I think ultimately tech moves forward and people sort of adapt. So I think that's the second. Third is where I'm most sensitive is on hiring an enterprise customer. Okay. So it's a lot less about, oh, A16Z backed it. Aren't you worried about the polarization? I'm a lot less worried about that because, as you know, we, as one of my partners put it, we run into fires.
11:55Yeah. Right? We don't shy away from that. So that's okay. What I am more focused on is making sure the image and the brand and what he's building is aligned with the eventual goal, which is to sell the product and apply the product to mature use cases such as enterprise and make sure we're able to hire people in a world like people on the bleeding edge that may or may not share the viewpoint of where Cluelly stands today. And what is, like, how do we actually moderate for that? How do we actually make sure the more thoughtful message continues to bubble up, such that people can pierce through the noise and understand what we're trying to build?
12:39their media strategy i think encapsulates really well this current moment in time and how distribution is seeping out all over the internet how consumer companies have to think about marketing go to market they kind of created a playbook and now it's being replicated so it's like really high quality viral video launch like different kinds of clips getting lots of people around you, gathering a community, going through many different channels, how do you see the way in which companies, especially on the consumer side, need to go out today? You mentioned momentum as a moat. So how does that fit into this as well?
13:20There's an element of the current discourse being around that. But ultimately, I think what it is, is we're living in a slightly different era. So when I say momentum as a moat, I don't mean it necessarily that that will always be the case. It's not at all. In fact, if you look back all my writing and my stance on this in the pre-AI era, I love products that are crafted with care. I love products that are super thoughtful. I love products that are retention first. In fact, I back Be Real with or without the growth curve because the retention was so high. And it's like this product slaps. Like, I don't know if you're going to use it, but it's so good.
13:57and if people get hooked on it, they will use it. So I was in that camp. I sort of went through a little bit of a change in this period of AI. I believe there are a couple of my beliefs where I think AI is bigger than internet. And I think all the lessons that I learned in investing or thinking of product in the AI and mobile era may be dated or may need slight modification. And the modification to me is if I believed really thoughtful, crafted products over time with love and care was important, I think that's really hard to do right now. You can try to do it, but models come out every week. Like when you talk about Caption, they have like an amazing Mirage Studio model and that week, there's like at least five to six meaningful model updates and launches.
14:48So how do you actually craft something with care and like craft over longer time horizon when the underlying plate is shifting so quickly. So one of the reasons why I say momentum is a moat is we are in this weird primordial soup of AI where everything's bubbling and it's unclear and we don't really know. It's still super early. There's 7 billion devices and number of people using more than chat GPT are probably pretty low. So we're still very early, which means that in order to break through the noise, in order to actually establish mindshare, in order to actually start the flywheel going in terms of attracting the best people, applying the best tech, being able to sell your product with revenue so that you can continue that journey requires momentum.
15:35And when I say momentum, I mean distribution as well as product velocity. If you don't have these, it's just really, really difficult to break through the noise and therefore momentum as a moat is to me is reflective of the current environment where i believe ai is huge and i believe we're so so early it's yeah it's a pretty powerful time we're in i was just at kirsten green's um humans in the loop summit for forerunner she had a lot of really great speakers reed hoffman was one of the first keynotes that they had they had a nice was it ai read or actual read it was actual oh okay yeah he had to confirm that ahead of time but you know there is some gray area there we're not entirely sure yeah uh he was dialing in from from boston i did see that that's why i wasn't sure like is that could be unclear unclear but between him and kirsten what they were talking about was with things evolving so fast what's happening today is not going to be relevant in three months What happened three months ago is already obsolete.
16:42It's true. Things are moving so fast. So capturing it now, like you mentioned, is so critical. It gives you the right to fight another day and be relevant another day. Yeah. If you don't have it now, it's just harder to capture that. And that's a sentiment that I'm trying to capture where I'm not trying to craft this narrative of nothing matters. The product doesn't matter. Retention doesn't matter. Let's just move. That's not what I'm saying. I'm saying like we're in a very specific time. and all the lessons that we had from the internet and mobile era may just be a little differently applied right now and ultimately you get to build the the you get to build a plane as it falls or build a car or flight uh as it falls off the cliff in order to do that you need to move very very quickly and that that's sort of the point one of the things that roy said in the pod when we were talking about brecks and his spending habits on brecks was spend big move big make big moves move fast break things spend big you know are you worried about his spending um if it was reckless i would right but uh we know the product has good margin he's said a couple times he's profitable in that case then you know within within you know budget is the wrong word within the right framework keep going and there are multiple people who ask oh how much should these like marketing antiques and like this launch video cost very often time the cost is not that high so it looks flashy it looks very good but i think that's also a skill yuri kim and alfred lynn at humans in the loop were talking about going big alfred lynn especially said you should be going for the whole world absolutely eight billion people here go big and think about the craziest product you can do and go after because what do you have to lose absolutely do you think that cluely is doing that yeah i think so yeah so cheat on everything is a very powerful message it pisses people off look it's a desktop there's a translucent desktop assistant that helps you and um if i were on a zoom with you and let's say i didn't look up your background i would use clearly and it'll show me translucently your background and the talking points and your things that you and I can connect on.
19:02That's just a good sales tactic. That's a way to connect with others better. So one, I think that use case is absolutely global. And let's like take that to other, you know, companies and ethos, right? I absolutely agree that if you're building something, build it for the entire world. And 11 Labs is an example where the initial market when it was pitched, it was people were like, oh, dubbing. And one of the questions that we had was like, how big is the dubbing market? Frankly, Molly, I don't know. But ask that question another way. Audio is one of the main medium of human interaction. When you automate and inject AI into all things audio, how big is that market?
19:48If you dismantle Tower of Babel and you can translate all things simultaneously, whoever you talk to, how big is that market? The answer is, I don't know at all. Not because I think it's small, because I think it's infinite. Lovable has this quote, Levantin, when he says this, where it's a great tagline, last piece of software. What does that mean? I don't know. Well, maybe the product actually helps you create so many different products that it is the last piece of software. Cheat on everything. What does that mean in terms of getting an assistant that is timely and relevant to you at any given time?
20:28I don't know what the end market is. So I do think he's going after a very relevant and global market. And I'm excited to see what happens. Love that. Sorcery is brought to you by Brex, the financial stack trusted by more than 30 ,000 companies, including one in three venture-backed startups in the U.S. Nearly 40 % of startups fail because they run out of cash. Brex is literally built to help founders avoid that. Unlike traditional banks that let your money sit idle, chipping away at it with fees, Brex is designed to help you spend smarter and move faster. Their all-in-one solution combines checking, treasury, and FDIC protection into one powerful account.
21:08You can send and receive money globally at lightning speeds, get 20 times the standard FDIC coverage through their partner banks and even high yield from day one. With same day and even same hour liquidity, access your funds anytime. Companies like Scale AI, DoorDash, Service Titan, HIMSS, Anthropic, Flexport, Robinhood, and Plaid trust and use Brex. Start today at brex.com slash sorcery. That's B-R-E-X dot com slash sorcery. I want to get into your personal portfolio further. You are a legendary investor. You've invested in some huge names, especially in the consumer AI space. Talking about 11 Labs, how did you first connect with them and how did you gain conviction?
21:55Another really, really fun story. I have a portfolio, founder Gaurav from Captions, actually my first investment ever. And I trust him. He has a very strong technical acumen. He's an extremely strong product thinker. He calls me one day and says, BK, I got to get in touch with this company. It is the best audio AI product out there. And mind you, we had been already really interested in audio AI. And he goes, I can't get in touch with the founder. One, can you please use your VC-ness to go reach out to the founder? Maybe he'll respond to you. Two, it is by far the best product that he has used.
22:37So that carries weight to me. So I'm intrigued. Let's dial back a month or two to three months. ChatGPT had launched. We're all very excited. It's a moment. It's a watershed moment. And then we had two school of thoughts. One is that, okay, mother model may win everything. Okay. That's one school of thought. ChatGPT is very open. It's very important. Like maybe open source version of that's very important. The other school of thought would be there will be winners in each modality. Image, video, 3D, world, audio. Let's go collect the infinity rings of all the winners in each of these modalities.
23:18So that was like second school of thought. I've always been very excited about audio. So we had met a bunch of companies in the space. And we hadn't made any sort of investment. And then that's when the Gaurav call happened. So we do a bunch of work and we meet Matty and we immediately sort of sense that guy is different. He's very thoughtful and it's a very AI native team. He and his co-founders, childhood friends. He's like, Piotr is technical and so is Matty, but he also understands product and go to market. So we thought this was a great team. So the thing is, we already had made the decision.
23:55This is it. We want to be part of it. And we asked the very important question. Matty, we love you. We'd love to work with you. Are we your first choice? And Matty demures a little bit and goes, we like you. And so after our call with him, like, oh, great. Okay, we'll keep working on this. And then we hang up, immediately get on a debrief call. Jennifer, myself, just Seymour. We're like, we're losing. I don't know what's happening, but he did not say, I love you back. This is not good. And I booked, I got an Uber. I packed over two minutes. And I got an Uber. And I called my assistant and said, get me on a flight to London.
24:44That is leaving in 90 minutes. He's like, I don't know if I can. I don't care what you do. Please help me on it. So I ended up flying to London. Sort of told Maddie, I'm like, I happen to be in London tomorrow. Let's chat. And we ended up getting to terms and agreement in the next, you know, in the four hours I was on the ground. And then I came back to join our offsite in Las Vegas. So that's the story of Eleven Labs. And I think that story highlights a couple of things. One is like we were very excited about the modality and the teams that are building in it already. And two, you know, I think when you're excited about something, I think conviction matters and showing up matters.
25:25yeah between this and clearly it's clear like you have relentless focus on whether fly there or bring steak you know yeah you need to if if someone's giving you the cold shoulder you got to fight for it absolutely i think uh i think the bro actually talked about it bro if you're like looping your assistant you're not getting allocation like yeah like i don't like we move yeah you set a really good standard i think the question is look if it's worth doing it's our job Like what is a strong form of that conviction and why dilly dally? Why dilly dally? Why dilly dally? You don't need to. I love 11 Labs.
26:00It's incredible. Thank you for funding them. I use it for things I'm not going to share because I don't want to release any secrets. But they're super, super great. Yeah. And I think AI is changing everything. I'm extremely excited about 11 Labs. And of course, the other angle we can go to is context, right? AI gets 100 times better when you give it context. And one of my colleagues, Zach Cohen, actually said this, which was really interesting. Think about how much input you give Google and how much input you give ChatGPT. Google, I might say, places to go in Japan. Okay, well, that's the input.
26:39ChatGPT, I might say, well, I'm going to go to Japan with my good friends and it's going to be this length of time and I have this type of travel budget, that type of taste. Like, can you come up with an itinerary? You just gave way more context to the thing. And I think, one, that I think that's powerful. And two, when you give context to it, the result you get back is 10x better. So that got me thinking on the, you know, if we're talking consumer AI, like where, where, which areas can a consumer give context and get a 10x better result? And one of the areas that we thought about was health, which is why, you know, in terms of physical health.
27:17We sort of made an investment in function health that sort of looks at your blood test and really over time overlay the AI doctor to tell you if you're doing what. I love function health. I'm 18 years old, according to them. And because of that - Good for you. Because of that, I posted that on Twitter. I posted on my newsletter, sold out all my referral links, had to get more, got some from the function team, sold out all of their referral links. It was flying. Yeah. We talk about it was I talk about this with Jonathan, the founder, where let's become a morally criminal product not to buy. Yeah.
27:51Right. Like if it's cheap enough at some point, you're sort of looking around and, you know, dinner table and somebody to go, let's go watch Netflix. Netflix total over a year is probably one like 200, 300 dollars. And let's say one of your neighbor, you heard a story that so and so got sick. it's morally criminal for the head of the household whether it's the COO of the household the moms or the dads to say look like let's make sure we're good in health and let's spend 200 300 400 500 a year to make sure we're good how is that not a very reasonable if not a morally compelling product to buy right and because their price point is so low i'm a super fan but because their price point is so low they do democratize access to a form of health that no one has access it's so expensive you don't need insurance to do it you get a full blood panel i'm like i'm selling them too hard right now but that's the thing like i so i grew up in korea where i'm a strong believer that preventative is a way to go that's a way to like it's too it's too late to fixing and when by the time you're you know going into a emergency room here in the US.
29:07So I'm a strong believer of that. And I remember, I remember distinctly, I was at Snapchat early on. I hired some of the best people that I know. I begged them to come work at Snap. One of them at 24 or 26, I forget. Only child, Harvard educated, extremely hard working, incredible human. And she calls one day and says, I have a stage three, stage four heart cancer. My heart broke. I like balled that day. But what that does is everyone around her rush to hospitals and say, can you please check if I'm okay? Cause you're scared for yourself too. And I distinctly remember hospital saying like, Nope, you got, you need a referral for this.
29:51You need like that, this, to get some cancer testing. You need some other things to make sure that you can check your health. And I remember being very pissed off. And so, Again, going back to the story of like origin story and why we backed function is I strongly believe part one, health needs to be taken back into consumers' hands. Two, once you have that result, you plop it into AI and it tells you how you're doing. Because frankly, I don't, if there are 130 biomarkers, I don't understand 129 of them. I don't get it. I don't know what these are. I genuinely don't. But I've gotten the result over two tests and I put it in ChatGPT and I ask, hey, am I doing better?
30:36Am I healthier or not healthier? It told me my BMI is higher. But other than that, every other blood biomarkers, I was doing a lot better. I didn't need to know what it is. I can drill down to any level that I want. And I think that's the power that AI would enable. And I'll have so much trust in that because I know that's actual data. It's trained on things. It's good. I think to emphasize a couple points and bring this to the top, consumer AI is not just media. It's not just social media. It's not just advertising tools or creation. It exposes every personal inch of our daily life. Individual decision making, essentially.
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31:22Yeah. Individual decision making, health, personal life, work, et cetera. Absolutely. What are some other areas that you've invested in consumer AI? I've been very excited about creation. We go back to this era of AI, which I think is very, very early. And internet has that law, right? Like 99.1, where like 1 % creates. Think about the number of people who actually fluently use AI today. I would say that's less than 1 % today. And my belief is there's a strong overlap between that early, early adopter curve and the creative energy. So what I am really excited about right now in this era of AI is, especially as it relates to individual AI almost, is creative energy, creation tools.
32:07So Captions, Vigil, Civit.ai, and all these sort of glyphs, these are all the creative tools that I've invested because I'm very excited about that energy. and I think you know that that side is one and I think over time that creative energy flows into a little bit more professional side of things so then you have like the caption 11 labs and you know again like I think lovable is a great lovable is a great example there that that's sort of channeling that creative energy in a more professional setting and and seeing that and I think we're at that stage and ultimately I think you know I haven't watched a full human in the loop But my guess is that there's a strong belief that AI for general population, 7 billion devices out there, will become very popular and will become democratized.
32:58I can't wait for that to happen. And I think we're probably just one or two steps away from that. What are the biggest risks with unleashing mass creation and automation of all of this? There are concerns about deepfakes. I don't know if you saw Mountainhead, but I brought this up with the Jack Altman podcast because Mountainhead kind of exposed like, oh, if we give everyone tools for this, there's going to be fake news everywhere. We're never going to know the difference. Roy would probably counter that and say, people know. People know it's fake or not. But where do you think the risk lies with these creation tools and do you think it needs to be regulated?
33:39so first and foremost on people know i think people know but his people what he means is young people know internet native people know mobile native folks know there's a time like even go back what like six months where if you look at facebook posts they're commenting heavily on ai generated you know houses and like this is so beautiful like how could you there are there are a group of people that are they may not know immediately right like so i give i i give a lot of thought to that as well right so part one i think uh there is a thing around people need to now think about is this real right and uh ultimately photoshop is a good example of it where and and sci-fi visual effect is a good example of this where before, you know, people didn't think about that.
34:33And now it's a very, very common thing to Photoshop any pictures, have visual effects on any movies, and people accept that. So I think acceptance is going to be there. The discernment aspect, I think, will always be an aspect of humanity that we're going to need to have, of like we need to digest information for ourself and choose what to believe. believe. So I think that's going to be a continuous struggle is the wrong word, but a continuous battle for people to understand what to accept as a belief system or not, and what to accept as a content as truth or not. And I think there is, you know, insofar as you want to, I actually talk about one of these products where I believe Particle News went on stage, right?
35:18They went on stage. And then when you look at sort of the article that's written, they actually have this spectrum, right? Of like, this is a left-leaning article, this is a right-leaning article, and there's all these dots for these articles, and you kind of pick and choose what you're going to read, but you know where you're picking and choosing. You know your belief system, and you're subscribing to it. I think that level of disclosure is really good. You're telling people, look, there's all these different things. You pick and choose. I'm not going to moderate. I'm not going to say this is the truth, that's not the truth.
35:47Here's a spectrum of things. Go make that decision. So I think that's a good example. what I think will be very useful for people in the future. Do you think it needs to be regulated? It's a good question. I think oftentimes regulation tends to be a little, what's the word that I'm looking for? Slower than the actual movement at the bleeding edge. And so it's almost trying to catch something when it's already moved away and you now have this funky rule that allows and disallows a bunch of things that may or may not be relevant depending on interpretation so from that side i think what and this is you're talking to an a16z team member who you know where we believe in techno optimism and we believe that you know advancement in technology can actually help people live better lives and so i think my belief is that there are certain things that should never cross the line and those whether it's child protection or whatever like you we can have regulation for that and continue to have those.
36:51In terms of like, you know, enabling companies and people to continue to build in this bleeding edge, I think any effort to curb that will probably not result in more innovation. It'll probably result in more gunk, if you will. Right. So at Humans in the Loop, the whole purpose of that was kind of to emphasize and bring light, hey, consumer has been around for a while. It's not changed. It's still here. We've also been in an environment where exits have been frozen. It's kind of picking up again. Where are you seeing trends in the exit environment and liquidity and growth and outcomes for this consumer sector?
37:35Again, let's sort of think about this consumer sector as like individual set of things, like notions used by individuals and figmas used by individual designs. And of course, like over time, it gets into like team, team play, what have you. But all of those to me fall in the bucket of products that appeal to individuals who make decisions. And so from that standpoint, I think the exit environment is an interesting word where I guess I am sort of more on the earlier stage side. So I'm shielded from needing to think about immediate exits, et cetera. What I am excited about is seeing how fast these are growing.
38:13So when I think about exit, so to speak, it's less about liquidity immediately and thinking about what size and what impact these companies are having, because that to me does loosely translate to exitability, if you will, whether it's M &A or IPO, what have you. So when I see companies that are going from zero to 50, zero to 100, zero to 500 in run rate in a very short time. To me, that says there's an incredible value that is being created and market may or may not be efficient in the short term, but sure as hell, it will do the right thing in the long term. And I think there's an incredible amount of value being created right now.
38:52I'm very hopeful and excited about that. And so immediately as I think about exit, I think we're in the generation of seeing incredible companies being built that are creating a bunch of value. And I don't know when they'll exactly go out and gain liquidity. But I also think there's a little bit of a misnomer now in liquidity. Like IPO is IPO because it gives you a tradable shares, it gives liquidity for early employees, etc. But now we're at a place where private companies are very large, have been staying private for a long time, their secondary, their tender offers, there are different ways of getting liquidity back as well.
39:27So I sort of look at this trend as larger companies have opportunities to continue to build and continue that momentum to grow into gigantic companies and whether that's done in semi-private it's funny or semi-private or public i think that matters a little less right now love premium merch just as much as we do that's why sorcery uses fourth wall everyone from creators like marcus brownley to podcasts like acquired to orgs like the smithsonian institute are using fourth wall they let you create and sell premium products without having to stress the details. They handle everything from production, shipping, customer support, taxes, even giveaways.
40:05When it's time to level up and make gear that people are actually proud to wear, that's when it's time to use 4th Wall. And that's why we've trusted 4th Wall for all of our brandware at Sorcery since day one. Use my link in the description to get free credits for your first order. And for any VCs, DM me on x and I can get all your portfolio companies set up with a free samples credit deal. Mark particularly talks about the barbell strategy or the barbell effect. You either have really, really small, either investors or ones that are huge. And the huge ones are betting on these ginormous outcomes, these trillion dollar outcomes.
40:41What do you think about that? I think, hmm. We talked a little bit about it, but there is a thing around like we VCs are around because we also want to return capital for LPs. And that equation or mathematics work differently for different sides of funds. So of course, if you're a larger fund, you're looking for decacorns, essentially, right? You're looking for a very large outcome, then you're sort of back, you're trying to find those founders, back those ideas. I do think there is a world where if you have a smaller fund, then finding a very nice exit of, you know, X amount is actually a really good vehicle to return capital to your LPs and do what you love.
41:26So I think that's true. I think one of the things that's happening now is that you're seeing a bifurcation of what you need to appeal to the founders to win. Because world-class founders nowadays have all the options. Dollar is green. You can work with A16D of the world and you can work with an angel. It's the same sort of dollar, if you will. And I think the way to appeal to a founder has changed. The whole idea around, And I'll just sit around and schedule meetings and maybe tell you I'll invest or not. Like, I think that has changed a little bit. The best founders have all the options. And so large funds or not need to appeal to the founder.
42:05This is why you need to work with me. So it's less about the fund size to me and more about what value can you add to the founders. And if you work at places like A, 16Z, we get to actually benefit from an incredible scale of operating partners who have incredible experiences that I don't have. I don't come with. I'm one person. I may not have the Rolodex of the entire firm. The CEO, the founder may not have that. We can come bear that. And that is a reason to work with us. And at the same time, whatever size you are, you may actually come with very distinct advantage that is helpful to the founder.
42:40And I think that's what funds need to, and investors need to think about these days. And you have a ginormous media empire. uh we i think we i like to think we help we help our companies distribute as well and that that is a that is a benefit it's an amazing benefit amazing okay so going back a little bit more um you talked about building a company now you can escape velocity a lot faster a lot quicker i was at a breck's dinner a couple weeks ago it was a cto dinner so this was more technical We were going down to the infrastructure layer. There were different sized companies there. It was off the record, so I can't share too much.
43:19But the general thesis of this, or I guess the general takeaway from this conversation was pre-2024 companies are structured so differently than post-2024 companies. Post-2024 companies have an extreme advantage to scaling super fast, organizing their databases really well. using these ai agents and tools using cursor using co-pilot that sort of thing so that they don't have to worry about unjumbling this like as what elon musk would call like the u.s government but like a ball of worms of an organization but actually like go at speed and scale and then get to that 100 million dollars in revenue much much faster how do you think about that are you seeing that as like a much more attractive way to invest into companies look for those companies that have really clean infrastructure yeah um maybe two things come to mind one is that um it's funny that sort of folks are delineating like 2024 and pre-imp post i tend to think about like pre-chat gpt moment or ai moment and post and i think there's certainly a mind share shift And this is, again, why I have the momentum as a moat thing where post-AI, you do get to build with smaller team, perhaps.
44:45But I think you come with a mindset of I'm going to build fast, ship fast. And I think a lot of team had that thought prior to the AI moment. But it was slightly different time horizon, right? Mobile has been a platform that's been around for two decades. the biggest news is oh ios is going to actually come as this net new you know products and when you think about how to utilize those and that was a product cycle essentially and now we're in a new world where things are happening every week so you do have to move fast and i think that's the mindset shift versus um you know the size of a team or cleanliness of infrastructure second thought that comes to mind is there are so many companies that have been around that actually is taking advantage of the AI moment to get their second coming, if not more.
45:41Replets, been around for a while. And, you know, it was like a tool to try to teach, you know, middle school, high school kids coding. And if you think about the difference between what they built now and growing really well on and what they were before, it's pretty different. The same with Bolt. And so the idea that pre-2024 companies have this infra debt and it's so hard to unjumble and you can't innovate, you can't grow fast, I don't think that's true. What I do think is true is you need founders who are understanding of the technical advancement that's coming out. You don't need to be a researcher.
46:21But you do need to understand what's coming available from the model advancement and understand how that translates into your product. or it's the scope that you're interested in and folks who are able to do that and move fast i think has just as much ability to succeed and grow extremely quickly now versus companies that are being built right now so i don't i guess i'm saying no i think uh infra and jumbling is it's relevant to extent but i i think uh there are many examples that sort of uh you know goes against that yeah we're seeing at least on the mna side thanks to new regulation and regulators that have left that be an open door for advancing these later stage companies these larger companies and going after an acquisitive strategy for this yeah i suppose um I think I'm thinking more around companies that have been around that are moving very quickly, understanding what's becoming available and pivoting their way very quickly into net new product spaces.
47:29So not just, okay, so there's a couple different categories to which this can happen. So it's those kinds of companies. And then it's also Meta, who is like going all gas, no brakes, acquiring things. Move fast and break things. Yeah, move fast, break things, but also acquire like every brand name possible, do this huge scale AI deal and try to rebuild their position against something like an open AI. I think there is a way to actually attract talent. And I think one of the ways that I see Meta doing is they're attracting some of the best talent. Of course, there are multiple people who can build application layer, but I still think at a research layer, there are a set number of people who are on the bleeding edge, who are setting the tone or setting the research agenda and moving the ball forward on the frontier.
48:22and having those folks in sort of four walls of your company, I do think is important, especially if you're aspiring to be one of the largest sort of AI company that is rebirthing yourself, if you will. One of the things that I've seen recently with KOTU's East and East West conference, it was fantastic. It was great. They highlighted OpenAI's usage and now it's starting to eclipse, if not eclipse, social media. So we're seeing a shift towards knowledge as being one of the most, I guess, used tools or most attractive tools. How are you seeing this from all the categories that you cover? What will come next?
49:04What are you most excited about? You know, I think Harvard Business School did this, right? Like there's a famous article that I think one of my partners, David Haber, penned a long time ago. It's this aggregating like Craigslist. and I think Harvard Business Review came up with this like top use cases of AI and it has like 40 different you know use cases and first was a therapy companion and the list goes on what I do see is for each of those lines we're going to see incredible companies being built and when we say oh, like for the first time, chat GPT, open AI, it cliffs social. I think I'm actually heartened by that.
49:51That probably means that creative energy, the curiosity and productivity is outpacing some of the consumptive energy. And I think, again, that points to us being in the very early stage of AI. And there's a tremendous amount of creative energy that is currently being unleashed. And for those, again, for each of those line items, that sort of, again, I think it's Harvard Business Review that published like 30, 40 different use cases of ChatGPT. I think for each of those, we're going to see giant companies. What's your favorite AI right now? What's my favorite AI? That's a great question. Got to sell a company.
50:27So like 11 Labs, I love. I use 11 Labs Reader, 11 Reader every day, which is an easy way to just consume things. There are a lot of other tools that I like. Of course, ChatGPT, what have you. And the creation side for these clips, You know, there are multiple tools that you can just put it in, dunk it in and say, hey, give me the best clips. And then there are multiple tools that do that really, really well. So those are some of the tools that I really like using. Love that. I'm obsessed with Opus. Yep. We shall not name names, but there are multiple tools that are amazing. Captions is cool, too.
51:03That's right. I want to dig in more on the metric sides of things. So Brex is all about spending smarter, moving faster, performance. They like to track performance and growth, and they do this really well within their platform. It's awesome. I use it. Everyone uses it. We love Rex. So does Cluelly. When you're looking at companies at the earliest stages, what metrics are you looking to determine their success, and which ones are you looking for their growth? Great question. So I did, I wouldn't say 180, but I changed. Okay. So again, like prior to 2024 or prior to 2023, my North Star metric was retention.
51:47And the whole question that I was trying to answer was, why do people use your product? And if you're answering that very effectively, the theory that I've learned hard way at Snapchat, helping build the growth team there, was that you will naturally see a very high retention. theory back then was distribution. You can go viral on TikTok, you can viral on Twitter, like you can do all these things. But retention was a thing that was really, really hard to get. Your product actually needed to be excellent and work. So I used to be very, very set in mind in terms of like, there's a retention hurdle that I need all my product to meet.
52:30And I only get excited when you meet that metric. And of course, there's all other things that actually talk about retention. It's not just D30 retention. There's a, what I would call illness curve, how, how many people, how many times people use your product in any given week. And there are all these other metrics that I look for. So that's prior. I still think that's important and we'll get to that world. But right now you ask like, what metrics do I look at right now? I'm more of a series A investor or what I call traction seed or series A investor. What that means is I want to, I want to look at some numbers.
53:08You're telling me this is the idea is a kind of hard thing to invest on in my mind or there are multiple people who are good at that. It's just not me. I need numbers. So what I now look for is velocity. And what I look for in those are two to three things. Velocity in user growth or revenue. Nowadays, people are very willing to pay for tools, especially in this early age. So tools that are actually effectively monetizing and seeing the revenue grow quickly is very important to me because that tells me not because we're making money, but because your product is actually useful and it deserves to exist and people are loving it.
53:49That's how I understand it. The other thing that I look for revenue now is the retention of the revenue, which is kind of interesting now. Like before, retention of the revenue mirrored very closely retention of the unique customer count. Because if you're selling it to individuals, if X churn, that revenue is gone. What is different now is because of AI, because you can introduce different tiers, you can introduce credit for overage usages or what have you, you actually see revenue retention being higher than unique user retention. That gap to me is interesting. Because what that means is for whatever reason, people are paying you more, like whoever's left in your cohort, they are deciding to pay more.
54:33I don't know if that means they're upgrading their plan. I don't know if that means they're giving you more credit or buying more credit, but they're staying and they're paying more. That tells me your product's important to them and to the workflow and what they're trying to achieve. So those two, I looked deeply. The third one is a little harder to, a little harder to exactly call it a metric. What I do look at is product shipment velocity. Oh yeah. and I you know I don't I wouldn't say we completely standardize it but there are a couple of memos that I've written with a team where we try to compare the product shipping velocity across all players in the same sort of space and there's a theory there that I have which is again if you're shipping product faster there's just higher chance you're going to catch something and shipping product faster 10 % 20 % each week that should compound Like it's not just, oh, you ship product faster to 20 % than the other, so therefore you're 20 % better.
55:35No, if you ship 20 % more in week one, you have 120 % versus someone else 100. Based on the 120%, you're going to ship another 20 % on top of that, and that just will compound. So the metric, not metric metric, I look for is how fast are you shipping? And that's the type of thing that I look for now. That's amazing. I've noticed that as a theme too. with some of the highest growth companies that we've had on the podcast too, like WAP. They are constantly shipping. They're constantly shipping code. They're constantly shipping products. They're constantly tweaking them. It's a complete iterative execution strategy.
56:13It's incredible. Like there are companies that are literally announcing fairly large net new product every week or twice a week. And I think mine's blown. Like, how are you doing this? Yeah. Which also helps our go-to-market strategy because you're always in the news. Absolutely. And that is what I mean by momentum is the moat because it's not just distribution. That aided by actual product announcement and people seeing that and seeing it result in revenue and you building in public and talking about that revenue momentum. That's the whole game. Positive. Yeah, exactly. Positive feedback loop.
56:47And that continues. That's so hard to break. Yeah, people just need to ship more. And that makes it really also hard to catch them. Catch them. If you're like a newer entrant or you're not a number one in mindshare, what have you, you better hope that the number one guy, dominant guy is like slipping and shit in velocity. Cause if they don't, they just fly higher and higher and you're just looking at that. I'm like, how do I do that? It's a good point. Also, if you know that there's a gap, you have a strategic advantage to go in and do something big. Yep. You better ship twice as fast. Yeah. I think like zooming out something to kind of like, push back on a little bit is within these bubbles huge innovation cycles there are two narratives well there's a narrative that just that goes back and forth okay it's a seesaw you're either driving for growth or you're driving for profitability in these different loops uh when you're going up and it's like a good positive macro environment it's all about growth right when times are tough It's all about getting the profitability.
57:55Right now we're in the upside. We're all about growth. Things have switched back over. Do you think we're still in the early stages of this hype cycle, this innovation cycle? When do we start to worry about, okay, now it's time for profitability? I sort of demure because I get your question where there's like a dichotomy of growth or profitability. and depending on macro cycle, there's, you know, focus on either side. And I think you're right to say we're in sort of the gross Trump's era. What I do want to say is that the current dynamic of the cost structure, especially for apps companies, really favor this equation of gross almost equals profitability.
58:48the margin structure of some of these companies that we're investors in is incredible i used to be a cfo i look at their pnl and i'm like this is a public company pnl wow it is so when you think about the profitability you know the whole like sass of like 80 percent mark like all of that a lot of that still holds true even if it doesn't hold true there are multiple ways that it is very easy is the wrong way, but easy to imagine margin expansion. Whether it's you over time take a bunch of queries in-house and start cutting costs that way. And we all know that compute cost is going down at a very rapid speed.
59:33So you get to actually price it at a point where it may be a lower margin today, but it'll expand over time. So it's not to skirt your question, but I do think we're in this funny stage where some of the winners that are emerging have this benefit of increasing profitability and growth and get to actually choose to reinvest that. there might come a time where it's more prudent to actually use those capital to invest in other things. And that may come, but I still think we're in the era of gross equals profitability to some extent. And, and, you know, the momentum and gross actually winning out.
1:00:14That's a really good point. We're in a completely different environment. Companies are getting a lot more efficient. Teams are getting smaller. Who's to say like, yeah, people are shooting for that one employee unicorn honestly some of these uh there were i think six months ago molly if we sat down and you're like oh what are the interesting metrics i might have said revenue per you revenue per employee i don't even know if that makes sense anymore there's so many companies that are just that's mind-boggling number that it's hard to compute yeah okay so also in kotu's deck there there was a really great chart for applovin versus microsoft applovin's uh revenue per employee is like huge delta between microsoft's microsoft is kind of like flatlined a little bit but like that that is like a true trend we're seeing yeah even in large private even in large private so imagine companies that are being now being built now is you know the unjumbled infra i suppose and companies that get to actually think about their customer support a completely different way think about sales and outbound motion completely differently it's just uh it's mind-boggling what's possible now there are a couple critical questions that calci suggests with these and they have them in their markets one is calci the one that have sorcery or is it it's calci we are only calci in this household it's calci calci i i i have to ask we love calci two billion dollar valuation now they're in your company they're crushing it yeah they're right they're right up the street too yeah they're great um so one of their they have two questions around this okay one of them is do you think there's gonna be more as like a secondary effect do you think there's gonna be more tech layoffs this year than in 2024 huh so that's like one question yeah do i am i betting on this yeah are you bet like what do you want to put i would i would actually bet that there would be less okay i think the opportunity cost is cost of not having the manpower to actually build and accelerate is too big.
1:02:22And while on margins, they may be, oh, maybe we can have less of X or Y. Overall, I think speed remains so important. Overall, I think building quickly remains so important that my belief now is that it's not the time to actually try to get to super efficient and take sort of the foot off the gas a little bit, if that makes sense so my bet is no good okay so one thing it's not betting it's trading fantastic first federally regulated excellent yeah good thank you thank you for the correction i stand corrected okay but good to know okay so we're past the get fit era we're now in speed velocity keep the gas on the pedal do you think maybe you already answered this question then do Do you think unemployment is going to drop by 2030?
1:03:142030. Or is it going to increase? You know, I think that's like a, okay, I'm going to say I'm not the best person to answer because I actually don't know which sector has the highest large amount of employment, to be honest. And to say, oh, employment writ large is going to change not knowing what the biggest size of the pie is. It might be manufacturing. And if that's true, I'm like, I don't know. I think my answer is don't know. Okay. valid there okay well i've learned to say don't know when i actually don't know the answer that's commendable some people wouldn't do that so it's great you're being honest you know as we uh wrap up so i i jumped the gun i i went a little bit too far we usually end with these cal sheet predictions markets oh before we do that i want to know what you're most looking forward to this year this year yeah i am really looking forward to the first emergence of first emergence is the wrong word but the beginning of pure consumer ai products really uh breaking through i i think we're i think there are a couple products like i would say chat GPT has been the runaway winner in the consumer AI mind share.
1:04:33And I'm very excited to see more popping through. Exciting. And we'll get very, very busy. Very busy. Very busy. You know, I thought like I would have more time in the day, but now I just have more jobs to do because I need things to do. See, this is why I don't think unemployment goes up or layoff goes up, it goes up because it's just there's more to do yeah there's always more to do somehow i have five jobs now you you do have five jobs and i probably will need to increase my job count as well you gotta you gotta increase that number okay so as we formally go into the calci predictions market now let's do a couple clearly ones all right one do you think roy will go to jail no not even in a stunt No.
1:05:22Okay. I kind of think it would be funny if he did a stunt. You know, going to jail affects background checks, which affects next rounds of funding. You know, that's... No. Good compliant answer. Love that. Do you think he's going to become a billionaire? Oh, okay. So I got to look at the count. Do you think he can reach that? I sure hope so. This is what you're betting on as an investor. Yeah, I sure hope so. So, you know, I guess my answer default is I bet with our wallet. More clearly. More clearly. We got to make Roy a billionaire. We do. Internet, please help. Internet, please help. Comment section, please help.
1:06:05Okay. Going into consumer, what do you think the Johnny Ive and OpenAI device will be? My guess it's an ambient device.
1:06:23i think it'll be closer to i airpods of the world than glasses like i i need glasses i'm negative eight negative seven i don't know what that means it means that i'm blind without contacts okay i still don't wear glasses you know like i love it's the form factor i think it's uh you know not necessarily for everyone so then i need to think about what form factor can be ambient on people all the time accessories have personalized taste it's kind of hard you know i like your necklace but i can't wear that so i think it needs to be a form factor that makes sense to be ambient and my guess right now is probably airpods-esque but who knows who's to say who is to say who's to say airpods do make up a large portion of apple's revenue i think it's one of the best hardware product that like got launched that people don't talk about like it's an incredible product it really is they're great they you know you drop them they fly all over the place they're gone they're gone you gotta replace it you gotta buy it immediately it's like they almost have some sort of like ergonomic factor inside of bounce away to bounce as far as possible i think that's right i think that's incredible design i have three of those you do yeah you just just gotta you don't know if you're gonna lose one you know do you keep them like one on the charger at all Yeah, I do.
1:07:41You do? Yeah, I do. You always have a full one. Because without it, I don't answer phone calls. Okay. Neither do I. I don't know how to pick up a phone anymore. It's a button, but I don't really know how to do that. I love that. That's a good one. I can totally see that. Pins, like, you know, it's funny. Are we past pins? I don't know if we're past pins, but there's a very funny, it's not a social experiment but in my mind was an a-b test where we had a consumer ai event in new york same day there was a consumer ai event that one of my partners uh did in sf and then um in sf some portion of people came with pins and recording the whole thing ambiently there blah blah i don't think you can get away with that in new york zero chance too much noise no know what I mean?
1:08:38It's just like, it's just cringe. You can't, you can't come to an event with a pin that's recording. Yeah. No one would want to talk to you. No. So it's just like a very interesting social test of what's ready. And of course, you know, um, robo taxis or, you know, Waymo really started in San Francisco and it's now going everywhere. So maybe that's the start of it. So I'll never rule anything out, but socially right now, I think, uh, there are probably other form factors that make a little more sense. Interesting. Okay. Yeah. On the Waymo part, Waymo is coming to New York. It's hard to believe.
1:09:14I hope they're treated well. I hope they're treated well as well. I say thank you every time I get off. You have to. Yeah. I say hello. Thank you. I'm very polite. How's your day? How's your day? How are you feeling? It's important. In case they're listening. Well, they are listening. They are listening. They're listening and they're watching. In case there's a pure, you know, highest form of AGI, what's the downside of being nice to them or having them know that you have been always nice to them? You also want to train them to be nice. Exactly. It's like having good friends. When you have good friends, it rubs off on you.
1:09:49This is exactly, yeah. If you're good to the robot, the robot will be good to you. Exactly. I'm excited for it to come to New York. Well, we'll see how that does. I know. They're going to be hardcore. core yeah we'll we'll see how they weave through all the uh honking and and the and the bikes in la that's where i'm from they're not treated well at all right i mean they they just set them all on fire they had to send them home essentially their their home is sf i i think so treated nicely in sf i believe they're treated really yeah we're we're kind to them how many cities do you think they're gonna be able to scale to this year like how many more cities what cities yeah three more three yeah what's which i mean cities it's so funny like we live in the u.s right so cities i'm like oh like what state and what cities like people forget i don't know i need to verify this as a fact but somebody once said if you had la and new york at the market consumer wise that is bigger than continental europe yeah so that's two cities yeah it's bigger than continental Europe.
1:10:58So we're saying, oh, maybe three cities, whatever. But that's huge. That's huge. It's pretty big. That's how I think about it. I'm from Korea. It's a tiny, tiny place. California is four times larger than Korea. So I sort of think about that. I'm like, I don't know. Three cities can be 10 countries more. That's a really good perspective. That's a good point. We live in a big place. There's a lot of consumers. There are a lot of money. There's great great opportunities to build here it's great it's great it's time to build it's time to build that's a great way there we go and and and this is the end there it's time to build the next clueley there we go thank you so much thank you molly this was a lot of fun this was great thank you bro bro hey it's molly if you enjoy our interviews check out our newsletter sorcery.vc where we deliver a once a week top deals and tech headlines email and also go deeper on our podcast interviews.
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From the publisher
Bryan Kim, Partner at Andreessen Horowitz (a16z), focuses on early-stage investments in consumer and application-layer AI. He has invested in some of the most prolific consumer companies like: Captions, ElevenLabs, BeReal, Function Health, and more.
One of his recent investments is viral phenomenon, Cluely, a controversial San Francisco-based AI startup founded by Roy Lee. Cluely has raised over $20M to date, with their most recent $15M investment from Bryan at a16z. Cluely is building an invisible desktop assistant to help you “cheat on everything.”
We talk about:
• The wild backstory behind investing in Cluely & ElevenLabs
• Why he calls momentum “the moat” in the AI era
• What it takes to raise a Series A today
• How context makes AI products infinitely better, and harder to replace
Brought to you by:
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1. Bryan Kim: https://x.com/kirbyman01
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(00:00) Trailer
(01:04) Welcome Bryan Kim & Cluely Intro
(02:26) How Bryan Met Roy Lee
(07:00) The $15M Bet On Cluely
(09:58) Cluely’s Hype Media Strategy
(14:18) Momentum Is The Moat
(20:37) Brex’s Full-Stack Product Suite
(22:26) Chasing ElevenLabs Across the Globe
(26:04) Function Health & Preventive AI
(32:39) Why Creative AI Tools Are Exploding
(34:54) Deepfakes, Risks & Regulating AI
(38:08) Startup Exits, Liquidity & What’s Changing
(43:50) Do Post-2024 Startups Scale Faster?
(49:04) OpenAI Usage beating Social Media?
(51:58) The 3 Metrics Bryan Looks For
(58:07) Growth vs. Profitability: Where We Are Now
(01:02:00) Will Tech Layoffs Keep Rising?
(01:04:35) What’s Next for Consumer AI
(01:05:49) Will Roy Lee Become a Billionaire?
(01:06:57) Jony Ive × OpenAI: New Ambient Device?
(01:09:56) Waymo, Robotaxis & the Future of Cities
(01:11:47) Final Thoughts: It’s Time to Build




