The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch

20VC: Why You Need a $1BN Fund To Do Series A Today | OpenAI vs Anthropic: Who Wins Enterprise | SpaceX at $2TRN and Data Centers in Space | The $20BN Groq Deal Broken Down | Jeff Bezos' $100BN New Fund

78 min
Mar 26, 20262 months ago
Listen to Episode
Summary

The hosts discuss Anthropic's growing enterprise market share against OpenAI, SpaceX's potential $2 trillion valuation with plans for space data centers, and the challenges facing late-stage AI companies in finding viable exit strategies. They analyze major deals including Grok's $20 billion acquisition and Jeff Bezos' $100 billion manufacturing fund.

Insights
  • Anthropic is capturing 73% of new AI spending among companies, signaling a major shift from OpenAI in enterprise markets
  • The current venture landscape has created an unsustainable ratio of potential acquirers to unicorns, creating exit challenges
  • AI companies that cannot meaningfully monetize their AI features are falling behind - charging for AI capabilities is the key test
  • Late-stage valuations have outpaced realistic exit opportunities, with many billion-dollar companies having no clear acquisition path
  • Vertical integration strategies like SpaceX's chip fabrication plans can justify massive valuations when tied to profitable existing businesses
Trends
Enterprise buyers increasingly preferring Anthropic's Claude over OpenAI's products for coding and business applicationsMassive fund sizes becoming necessary to compete in Series A rounds, with $1B+ funds now standardDouble taxation structures becoming common in large tech acquisitions to avoid antitrust scrutinyBillionaire migration to business-friendly jurisdictions like Florida acceleratingAI application companies facing monetization pressure as free AI features become table stakesSpace-based data centers emerging as next frontier for hyperscale computing infrastructureSecondary market liquidity increasing as primary exit paths become constrainedManufacturing transformation through AI acquisition strategies gaining traction among tech billionaires
Companies
Anthropic
Capturing 73% of new AI spending among companies, gaining enterprise market share from OpenAI
OpenAI
Losing enterprise market share to Anthropic, facing strategic inconsistency and product challenges
SpaceX
Potentially valued at $2 trillion with plans for space data centers and chip fabrication facility
Grok
Acquired by Nvidia for $20 billion despite less than $100 million ARR, highlighting AI talent premium
Nvidia
Acquired Grok for $20 billion to accelerate AI chip production capabilities
Figma
Stock dropped 22% after Google launched competing design tool, facing AI disruption concerns
Tesla
Part of Elon Musk's vertical integration strategy, will use 20% of planned chip fabrication capacity
Amazon
Referenced as example of building from scratch vs acquisition strategy in industry transformation
Google
Launched Stitch design tool competing with Figma, causing market reaction despite product limitations
Ramp
Provided data showing Anthropic's 73% share of new AI spending among companies
Notion
Successfully monetizing AI features with $20/month pricing, demonstrating effective AI monetization
Sequoia Capital
Buying $35 million of Figma stock during market downturn, showing confidence in recovery
TSMC
Referenced as benchmark for SpaceX's planned chip fabrication facility valuation
Microsoft
Mentioned as potential acquirer with limited capacity for numerous unicorn acquisitions
Salesforce
Facing AI disruption concerns and market skepticism about revenue durability
People
Harry Stebbings
Podcast host discussing venture capital and startup trends with industry experts
Jason Lemkin
Venture capitalist providing insights on AI market dynamics and SaaS company challenges
Rory O'Driscoll
Venture partner discussing fund sizing, valuations, and market dynamics
Elon Musk
Announced plans for $25 billion chip fabrication facility to support space data centers
Jeff Bezos
Raising $100 billion fund to acquire and AI-transform manufacturing companies
Jonathan Ross
Made $950 million from Nvidia acquisition despite double taxation structure
Chamath Palihapitiya
Reportedly made $950 million from Grok deal, claimed actual returns were much higher
Mamoon Hamid
Announced raising $1 billion early-stage fund and $2.5 billion growth fund
Sam Altman
Leading company facing enterprise market share loss and strategic challenges
Sergey Brin
Attended AI hackathon in Miami, representing billionaire migration to Florida
Quotes
"If you're a software product and you don't think AI is going to disrupt not just how you build but what you build, then you actually probably want to actively short it."
Rory O'Driscoll
"I think every VC is stressed right now. Let's be honest, who the hell is going to buy them if they don't ipo?"
Jason Lemkin
"You're not an AI company if you can't charge for it. Very few public companies can effectively monetize AI and that's why they're all in terminal decline."
Jason Lemkin
"I just worry there's some ratio of potential acquirers divided by unicorns and I think we're at the lowest ratio of our careers."
Jason Lemkin
"Massive market overreaction to a proof of concept. Give me an effing break if I'm Sequoia or whatever."
Jason Lemkin
Full Transcript
3 Speakers
Speaker A

Massive market overreaction to a to a proof of concept. Give me an effing break if I'm Sequoia or whatever.

0:00

Speaker B

If you're a software product and you don't think AI is going to disrupt not just how you build but what you build, then you actually probably want to actively short it. I think every VC is stressed right now.

0:06

Speaker A

Let's be honest, who the hell is going to buy them if they don't ipo? I just worry there's some ratio of potential acquirers divided by unicorns and I think we're at the lowest ratio of our careers. I just don't believe the hyperscalers are going to buy these companies.

0:15

Speaker B

Basically it's win or die.

0:29

Speaker A

That's a risk. I would have a code red on this.

0:30

Speaker C

This is 20 VC with me, Harry Stebbings. It's my favorite show of the week. Jason Lemkin, Rory o' Driscoll and the biggest news in tech anthropic are they eating OpenAI's lunch? When it comes to enterprise, ramp data suggests so. Jeff Bezos seeks $100 billion for his latest project, SpaceX at 2 trillion. After Tarafab, the debrief on Grok's $20 billion deal to Nvidia and much, much more. But before we dive into the show today, are you a founder working non stop to raise your next round? Are you an investor doing all you can for your portfolio companies to help them stand out? Funding and scaling a vision is challenging. Banking should not Be HSBC Innovation Banking caters to tech and healthcare founders all over the world who need a really great banking partner that matches their pace. Offering fast onboarding product packages designed for your business and capital solutions built for high growth startups and the VCs investing in them with HSBC. With HSBC Innovation Banking's rapid onboarding, you can get access to your new accounts and facilities quickly so your team can stay focused on building and scaling. What's next? You'll be paired with your own dedicated team of venture ecosystem veterans who have the network and experience to guide companies in your specific sector at your specific stage. And behind that support is this real strength HSBC's $3 trillion balance sheet and global network that provides this stability and international reach needed to grow your operation with conf. To see how HSBC Innovation Banking can support you Whether you're on day one or day 1000, visit InnovationBanking HSBC to learn more and connect with an Innovation banking specialist. That's InnovationBanking HSBC. While HSBC manages your Corporate banking needs. Deel helps you build the global team behind it. Founders scale startups faster on Deal. Grow without borders. Deel handles the hard parts of global hiring so you can stay focused on growth. Set up payroll for any country in minutes, hire anyone anywhere and get visas handled fast. Deal takes care of onboarding, hr, it, EOR benefits and compliance. Everything your startup needs to scale quickly, all done fast in one place. And that's why 37,000 fast growing companies trust Deal to move really fast and get back to building. Visit deal.com 20vc that's deal D E-E-L.com 20vc once deal helps you hire your global team, Framer gets them wowed on the way in. Your marketing website sets the tone for your brand, let's face it. And it's the one touch point every single one of your customers has. So if you're struggling to make small changes and simple updates, you're falling behind. And that's why so many companies from early stage startups to Fortune 500s are turning to Framer. Framer is an enterprise grade no code website builder that works like your team's favorite design tool and it's used by companies like Perplexity, Miro, Mixpanel to move fast. Designers and marketers can fully own the site with real time collaboration, a robust CMS built for SEO and advanced analytics that include integrated A B testing. So you're not just shipping pages but you're maximizing what works and when you're ready to ship changes go live in seconds with one click. Publish without relying on engineering. Plus Framer is built for scale with premium hosting, enterprise grade security and 99.99% uptime. SLAs whether you want to launch a new site, test a few landing PA pages or migrateyourfull.com framer has programs for startups, scale ups and large enterprises to make going from idea to live site fast. Learn how you can get more out of your.com from a framer specialist or get started building for free today@framer.com 20VC for 30% off 30% off a Framer Pro annual plan. That's framer.com 20VC for 30 percent off framer.com 20VC rules and restrictions may apply.

0:33

Speaker B

You have now arrived at your destination.

4:39

Speaker C

Guys, it is so good to be back.

4:42

Speaker B

We had, we had a lot of

4:44

Speaker C

shit go down this week. I think there's a couple of places we could start to the arbiter of economic justice and revelations which is Ramp who revealed recently with I think they're about 0.5% to 1% of US GDP transactions or whatever it is that Eric used as the statement to validate themselves. Ramp data suggested that anthropic now captures 73% of all spending among companies buying AI tools. 10 weeks ago it was 5050 with OpenAI. Early December it was 6040 in OpenAI's favor. Are we seeing Anthropic runaway with the enterprise lunch, so to speak?

4:45

Speaker B

Just to start with the facts, they actually said 73% of new spending. Right. And the same graph shows OpenAI is still actually ahead of Anthropic in terms of total spend. But the marginal buyer in the last six weeks, eight, 10 weeks, has massively shifted, which is obviously the most leading ind, you know, people in the market today for a new AI went 70% on Tropic. So just in the interest of being precise. Yes, that's the claim from ramped. I thought the OpenAI response of the snarky comment about extrapolating from a lemonade stand was just a bad look. First of all, it kind of doesn't really understand statistics. I would argue ramp is probably a pretty accurate statistical reflection of especially digital company spend in the U.S. i think they have got a pretty diversified customer base and they probably have decent data and they've got good data scientists. So OpenAI trying to be snark, I think was a mistake. I think it does represent the fact, which is in the last three months there's been a shift in the zeitgeist. And I do believe that the marginal user, the marginal person opting for AI today, or even people switching today, the switchers are moving towards Claude and they're Moving away from OpenAI doesn't mean it's the end of the world. But sometimes the first thing you got to do in dealing with a problem is to face the hard facts in the face. And I think the data was good and the conclusion is real.

5:24

Speaker A

If Anthropic now is maybe a $22 billion run rate, that the revenue does tie to these two conclusions too, certainly isn't inconsistent with it. Right. I think it's possible they're Both right, like OpenAI and RAMP are both right. And what I mean is, in some ways this felt to me like the cursor debate. Because if we walk into our portfolio companies, barely anyone's using cursor today in my own portfolio, and people said it on Twitter too, like, cursor is dead. No one's using it. They've all moved to cloud code. And I would say in that ecosystem it's true. And maybe if a lot of Ramp's data is still biased toward tech, they might see this same trend. I mean, Claude has. If you just look at why everything's accelerated since December, it is Opus 4. 5 and after it is crystal clear, as soon as Opus came out, it was another step function that was under discussed. Everyone's PRs exploded, everything got better. But for the normal world, they live in ChatGPT. So I don't want to say for sure that the cursor experience isn't happening here. So that my point is they both could be right. What I don't like is how OpenAI is acting wounded. To Rory's point, I don't like it. When we started this pod, OpenAI seemed invincible. No matter what Anthropic did, it seemed and everything. You can just smell this era, this air of desperation. Oh, we're going to keep headcount flat to manage costs to we're doubling headcount to we're going really deep on agentic commerce to we're basically canceling and Walmart says it doesn't work. It feels very inconsistent. And when I thought about this, the one thing that I love about Anthropic is it's very consistent about its ICP and goals. It has been very consistent. We know what it stands for, we know what it's trying to do. Yeah, it launches new features. I mean it's got its new like open. Its next version of Open Clot launched yesterday as we record this. But you know what's coming with cloud and anthropic OpenAI. I'm getting whiplash from everything. And the Debbie Downerism, it's not going to. Last week we talked about the Air invincible vincibility at GTC to Nvidia. It doesn't smell like that at OpenAI today, does it? It's just like a downer to be around and I don't want to try their products because of it. Honestly, to Roy's point, I actually don't want to try their new products. And I, and I literally last night I'm. I'm DMing with our chief AF. So we're trying the new cloud app that just launched, but it ain't going to happen. I don't want to hang out with Debbie Downers.

6:45

Speaker C

If we, if we just kind of put that into strategic takeaways in terms of that pivot. Now Sora is getting folded into ChatGPT rather than being a standalone app. Hardware ambitions are being deprioritized and they're really kind of trying to consolidate efforts, stopped having such a diverse product set and then that. Also to your point on headcount, they now plan to nearly Double headcount to 8,000 by the end of the year. Having said before that they were actually going to keep it flat.

8:58

Speaker A

You know what it feels like to me, in all seriousness, it felt like when we started this podcast quite a while ago, but. But not a year ago. I don't think that OpenAI was an exception to the rule. You could have massive founder turnover, you could have massive management team turnover, you could have unusual the amount of drama with kicking Sam Altman out and then bringing him back in a dysfunct board and like it seemed to be the exception that made the rule that if you had so much momentum, like you could overcome it. Now I feel like the downside is rearing its mind of inconsistency. This inconsistency is, is damaging the company today in spades. We can see the downstream impacts of that massive turmoil.

9:25

Speaker B

And I'm going to come in here and try and say something positive, but start by pointing out, if we do go back to those first 10 podcasts, they announced the hardware deal with Johnny Ive. If you recollect, I was like, this will never ship. I said at the time, and I actually said right when he was on a high that I don't envy Sam, because the press only has two stories. We love you, we hate you. And once they've written we love you, there's only one story left. So they're just moving through the to do list. We've done the we love you, Sam, now we hate you, Sam. And he has brought it on. You know, you spend a year talking to the prince of fill in the blank, the president of France. Instead of staying at home and shipping product, eventually things get defocused. But things are never as good or as bad as they seem. That's just one of my rules. It was never as good as people taught a year ago. They still own the consumer business. So job one is figuring out how to monetize that and make that a great ass business. It's hard to believe that there isn't something. The advertising efforts seem to be struggling now, but that's job one to figure out. Then you're right. Job two is to figure out enterprise in particular, coding. They're doing finally the right stuff perhaps a year, year and a half later. But it's still clear to me that if you just take a big deep breath and you are running that organization Focus on the two or three things, get a little more sensible on your financial trajectory, you still have a comfortable chance to be the winner. In other words, to exit two, three years from now as the largest market cap, standalone foundational model player. You blow it for another year and you won't.

10:00

Speaker A

You know what's interesting is there's sort of two things going on here that I see in the data, right? If you look at openrouters data, it has exploded since the start of the year. So what that is saying is folks are aggressively switching between models for cost and output, especially cost. Like that's saying there are a large set of customers who are optimizing when to use Kimi and when to use Haiku and when to use Mini and that that model has exploded, right? And we can see it in a lot of our more mature customers. I mean, companies that are trying to optimize their spend. On the other hand, so much of us have said, listen, I mean, Claude, Sonnet and opus, since 4.5 and 4.6 are so good, I want to stick there. Like if you're not deep into coding or vibe coding, you don't how much better it is in the last 90 days. And I have no desire to screw around when something gets their hooks. It's so good. And so I want to build all my scaffolding, I want to build my apps, I want to build my AI agents about something that isn't just good, but now is epically good. And so even with the open router data, like I think what I mean is there's this, there's these two things happen. On the one hand, the soft costs are very low to pick a different model. But on the end there are high soft costs for managing the outputs and qa, ing it and qualifying it and making it great. And I don't want to do anything except Sonnet and Opus now. I don't want to spend any time on it. It's not worth the soft costs. And I think that's where the panic is. They can smell that they're losing that even as cost sensitive customers will rotate through the cheapest possible thing.

11:27

Speaker B

I think true and I think it speaks to the. You have these discussions, do you want to be first to market or do you want to be second? And you know, more and you don't, you know, pioneers get hours in the back and all those cliches. But I think the real truth is if you are first to market, market with the right product, you grab that early mindshare and market share. And then it's theirs to lose. And just contrast the two markets, because it's pretty clear the two potential mega markets here are the consumer market, where OpenAI grabbed Mindshare with ChatGPT. And despite they haven't monetized it yet, no one's really taken that away from them. At scale, then the other mega market is not just enterprise, but within enterprise coding. You're right, Jason. The scary thing is maybe 612 months ago was up for grab. Today your description is right. It's half up for grabs. People are starting to lock it. And if OpenAI allows Claude to become the default for another year and the perceived best for another year, I don't think you get to show up after a whole bunch of people have made enterprise decisions and say, oh, now we finally got our shit together. We're good too now. I promise. Please pick me. There is a moment, there is a tide in the affairs of men, as Shakespeare says. And this has been the last six months of coding, locking the recognition that coding is the mother load app within the enterprise spend. And you're right, if you let Claude run away with that for another six or 12 months, you've probably sacrificed value that you'll never get back.

12:52

Speaker A

Yeah. Let me just give you one small example. Like, because the models are so much better since December. So since then, we have built an AI VP of Marketing and AI VP of Customer Success. For real. And they're really, really good. But here is the meta point. Our APV in our marketing defines every day, every single marketing activity. It wakes up in the morning and gives us slack updates. It runs our weekly team meetings. Our APA VP of success. We have like 200 sponsors and all the humans would quit because it was too much work. It does it 247 and the sponsors love it. Okay, it runs on Sonnet4.7 and maybe a little bit of Opus. There is no way we're going to switch the model. Yeah, this is dialed in. It works. Now we're going to have to deal with QA when it goes to 4, 8 and 5. 1. There's a little bit of QA and it does change. But my God, these apps which we rely on every day, there's no way we're going to switch them to codecs because it took us weeks to dial it in and you have to train it and you have to do it and that now that they're great when there's a certain level. I'm not saying that other folks won't, but that is a lock in. Since the latest models that I think deserve a code red. We will not invest the time after we've done because they're so good the models today. So that's a risk. I would have a code red on this.

14:14

Speaker B

I agree. And again, just donning my economics of industry hat you're exactly. You're an individual enterprise, right? Maybe if you were a SaaS vendor of these products to a thousand enterprises, you might have a big enough engineer engineering team where you might be what you are 612 months from now to evaluate new models. But you're right, you've built a business that worked for you. Unless they're extorting you on token costs, it ain't broke, so you ain't going to want to fix it six months from now. I agree. That's why every, just like on the consumer side every time you lock in muscle memory. I mean I'm using Claude all the time now in Cowork. But I will admit when I'm doing my random research for this thing, I, I still go to ChatGPT. I'm used to it. I got a lot of stuff in there. Every time you lock in behaviors like that and let them settle in for 612 months, you're losing lifetime value. That's non trivial.

15:24

Speaker A

There are applications if we just stick to B2B and AI for a while. There are applications that are very sensitive to token costs. Even things like support are super sensitive. Right, because they're using so many tokens. But I got to tell you, there are so many applications like the ones I described about that were not that sensitive to token costs. If you use 200, 400, $2,000, $10,000 of tokens for a month for these, it just doesn't matter. And so there's the open router world where costs are super sensitive, but there are plenty of applications that will deliver epic value on these LLMs where it's not worth it. You want to reduce my token cost from $2000 a month to 1500? Leave me alone. Leave your kimmies and all these I don't care. Like I got 99 problems. This isn't on one of them. Right? And there are going to be more of those apps than we think.

16:15

Speaker B

You're exactly right. One of the things I've been thinking about for our software apps investments is just having this mental model of what's the token spend as a percentage of revenue. You're exactly right, Jason. There's a ton of really interesting apps that for 5, 7, 8% of revenue on tokens are building Huge value, which my sense at least is very different than the coding apps where you might be at 40% or 50%. If you're at 5% of revenue and you're growing really quickly, you've got a lot of better things to be doing with your life than over optimizing the models.

17:00

Speaker A

Maybe even more.

17:31

Speaker B

Yeah, exactly, maybe even more.

17:31

Speaker A

Maybe even 20%.

17:33

Speaker B

I think that metric I've actually meant to do this work and if someone has done it out there in Internet land, I'd love to see it just looking at a couple of hundred AI apps and just literally looking at the AI token spend as a percentage of revenue across the mall. I'd love to know what the pattern is because I totally see very different percentages depending on the token intensity.

17:34

Speaker C

SpaceX Terraform Potentially $2 trillion. We're reaching new heights. We started off at a trillion two a trillion five. Now Terracamp and the $2 trillion number is being mentioned. Roy, why don't we start with some context from you? You're the best at providing succinct context.

17:54

Speaker B

Okay? I mean the big picture context is that Elon made an announcement that they're going to build a fab, effectively build the equivalent, I think almost 70% of the value of all of TSMC in the US near the gigafactory because across the chip need for Tesla and potential chip need. I'm picking my words carefully for SpaceX. To the extent that they build data centers in space, he doesn't think TSMC will be able to make enough chips to support his needs and therefore continuing a pattern of vertical integration which they've had for extended period of time. They're going to build a fast, not just any fab, but the most advanced modern fab on the planet for probably CapEx cost of $25 billion. That's the announcement and it's not clear the ownership by the way, but I think the usage I saw some number like 20%. It's kind of some kind of joint Tesla SpaceX venture. 20% of the volume in the end will go to Tesla, 80% will go to SpaceX and data centers. So that's the story. The second piece of context is how you said SpaceX now being talked about at $2 trillion. Let's be clear, what you're saying about that is I'm going to push back strong. Polymarket said the probability of SpaceX being worth $2 trillion on the IPO went up to 50, 60% from a lower number. And that's what Harry is attributing information signal to. I would point out that Tesla stock didn't move. So if this really is, Even if it's 80% SpaceX, 20% Tesla, well in the market nobody blinked. Significant money's changing hand. So I am significantly more skeptical that six months from now people are going to attribute another 400 billion of value to a statement that I'm going to build a fab.

18:12

Speaker A

Unless they saw your math the 8020 and really thought of all the value going to SpaceX. Right?

19:58

Speaker B

Yes. Okay, so again it's back to the same eternal Elon discussion. At every point in time, with every one of these companies, you have things he's already done that you can value on a revenue multiple. Things that have been announced already in process, and there are various stages of doneness and then that case you have to assign a probability to getting it done. And if the probability is 100%, then announcing a fab means you're worth the fab. If the probability is 1%, then announcing a fab means you're worth 1% of the fab. And everybody gets to pick their percentage in that continuum. Right now, TSSC itself is just over a trillion in market cap. It's basically saying if it really popped up by $400 billion of value, it's like basically saying TSMC has spent 30 years building the most modern fabs out there. You've announced that you're going to do the same. You do have customers for those chips in the main. So I'm going to give you a 50% probability of getting it done. It's a pretty high Elon attributed probability

20:04

Speaker C

number, but do you think that's unfair? I wouldn't bet against it.

20:55

Speaker B

I mean, I always struggle to describe it. He is the person who's achieved more than anything else entrepreneurially in the world today, period. Full stop on hard engineering problems far beyond any piece of software. Right. So that is, is it rational to say that if anyone can do it, he can? Yes, because he'd done it two or three times with cars, with rockets. Not irrational. From that perspective. You still have to say is his record on timing of being right about when things happen and when they come a little more spotty. Right. I mean I actually just went into ChatGPT and said make me a chronological list of every prediction from Elon about full self driving. And then I did another one, made me a chronological prediction of every prediction from Elon about when starship will be flying and will be able to reach Mars. It's a long line of it's going to happen three years from now. In the case of fsd, I think with the caveat that we're dealing with the most accomplished entrepreneur of at least the last 30 years, maybe one of the top two or three ever. You still have to say his record of predicting timeliness in terms of these things is it takes a lot longer than you think up front. And you got to figure out as an investor how you factor that into the valuation and everyone's entitled. The beautiful thing about markets is everybody gets to play their own way.

20:59

Speaker A

I'll tell you what was interesting to me. I watched yesterday on YouTube they had a Jay Leno where he was the first one to test the new Tesla Semi.

22:16

Speaker B

Okay.

22:23

Speaker A

And the team from Tesla came over. Franz, the head designer and the head PM for Tesla Semi. And they were talking about it and they were talking about energy. And the designer said, yeah, we strongly believe across all of Tesla, the future is fusion. It is fusion to power our trucks. It's just we believe the fusion's from the sun. There's no point in doing it on Earth and we will soon power all of our semis through fusion. And this is a thoughtful lead designer saying, this vision that has been there and they believe it. I think it's a great story that can happen, that we're going to build more power than I guess exists in the world today. And 80% of it's going to space. 80% of these chips that come out of this are going to space to power fusion. You can mock that or say it's going to take nine more years than we thought, but it does create a pretty powerful vision for the IPO and beyond. And beyond. Now you see it all coming together for SpaceX for real for the first time, rather than we've got Internet, satellites and spaceships. It sort of made sense. But when we're harnessing the entire sun because it's pretty doable because we've built a lot of it already. Starting to sound cheap at 2tr.

22:23

Speaker B

Look, someone can be 10x more accomplished than you as an entrepreneur and a human being, but when you're investing money, you're still entitled to say, what probability do I say ascribe to that 10x more accomplished person being able to do the next thing. Therefore, you have to look at this and say, for how long will this be supported by a future statement and when will it be worth something? On 20 times free cash flow.

23:33

Speaker A

But you know why it's interesting if you really believe in DCF and free cash flow for real, in the public markets. And I still get confused. If starLink really has 53% profit margins and is wildly profitable, the fact that this extends The Starlink Vision 5 orders of magnitude, it's actually a reason to say, hey, if I believe in this at all, my, my DCF has gone up. How much? I don't know. It's gone up because Starlink is so profitable at scale, like jaw droppingly profitable. Right?

23:59

Speaker B

2 Comments first of all, big picture, you are correct. The reason Elon can do it and no one else can is he can articulate these big step function stories where as one investor in many of his companies pointed out to me is a great point he made of this. They're not like software companies that incrementally grow every year. They're kind of step function technical challenges that you accomplish maybe every five or seven years and then you harvest on that while you're building the next step function challenge and then that gives the next lift. I think Starship's a great example of that. You had the hey, I launch rockets and all I do is get government contracts. And then you're like, no, I launched rockets and now I have a cellular service for remote cellular. And now the next turn of the crank is maybe if I can get Starship working, you can have cellular for everywhere and data centers in space. So you are right. These are big chunky visions, each of which if realized gives you an extra pick a number, 100 billion, 200 billion, 300 billion of net present value thing. So I agree no one else can tell the story and no one else is credible to tell those stories. You've still got to go back to what's the probability of happening, when does it happen and what's your cost of capital between now and there.

24:27

Speaker A

Yeah, I would just argue if you're the classic optimistic analyst, Wall street analyst, you can probably justify Harry's two term valuations by saying the odds that this occurs are 80% but we're ascribing only a 30% chance it happens on time, there's an 80% chance and within five years it achieves similar profit margins to Starlink and you roll it all back and you can justify 2 billion over 1 point X trillion. Right. I think you could do it on

25:38

Speaker B

a spreadsheet and that bet will be available to you and have at it.

26:01

Speaker C

Well, in the week of bold hundred billion dollar bets and why the fuck are we doing seed stage SaaS investing? Jason Jeff Bezos seeks $100 billion to buy and AI transform manufacturing wall Street Journal broke this one. Jeff Bezos raising $100 billion Manufacturing Transformation Fund and acquire companies across semiconductors, space defense eject AI into their operations and make them much more efficient. He's apparently been touring Singapore and the Middle east to charm some sovereign wealth funds to give him the money. How did we think about this again? It was another week of I feel irrelevant at early stage.

26:05

Speaker A

I think it's a great classic Indian Creek island investment. So you're sitting in Miami and you're a couple hundred million dollar home.

26:40

Speaker B

I love ej.

26:47

Speaker A

You've got Jassy and team running the hard business. You don't have to do that that much. Luckily they're doing the hard work and now I get to think big. I get to think big at carbon or on the yacht and I don't want to go small anymore. And I've already done it, you know, I've already built Amazon. So you know what I want to do? I'm going to remake some industries. You know, I was with my friends at Pure Vita getting our smoothies and we're all going to remake industries. And this is the Indian Creek island bet. And I get it right. You don't want to screw around anymore at billionaire's bunker. You just don't want to.

26:48

Speaker C

Do you think he'll be able to raise $100 billion?

27:21

Speaker B

He could just sell stock. If he wants $100 billion he can get it himself. So I'm sure he'll get some significant slug of capital.

27:23

Speaker A

The only problem is Softbank seems tapped out. They're hitting their debt limits. They just announced this week, right. That they're flashing above their covenants. So I don't think he would announce it if there wasn't a that he didn't believe he could do it right. So you got to announce a decent probability.

27:31

Speaker B

I want to come back to what you said, James. I thought that was actually very insightful. The Indian Creek comment. Right. And you do see this of I did it the hard way. I'm now 50, I'm 60, I'm not 22 anymore. I've got more money and less time. So I'd like to insert myself further along in the value creation process to make it happen quicker is the logic. You're right because I was reflecting back. AI is this cool new technology that could transform all loads of industries. Just like 20, 30 years ago, the Internet was this cool new technology that could transform a whole load of different industries. And if you think you had really. And when Jeff Bezos was starting out, there was Three different plays you could make. You could say, hey, Internet's going to transform retail. Let's focus on retail. I should build software and sell it to retailers so they can kind of move onto the Internet. Build Shopify. The second thing you could do is say, hey, the Internet is going to transform retail. I should buy Walmart because I'll kick ass and I'll make them become an Internet company and I'll do it that way. Or the third you can do is to say, I'm going to do the hard thing for the most amount of money. I'm going to transform retail myself by building a full stack retailer. I'm going to call it Amazon and I'm just going to kill everyone. The last one was, it turns out, the $2 trillion opportunity from zero. So your IRR is from effectively no money and you make a couple of trillion bucks. From a value creation perspective, Shopify roughly a couple hundred billion dollars. Agreed. Because that's the best e commerce technology provider. And to be fair to Walmart, if you had half a trillion dollars lying around at the time, you could have scored a double because it finally adopted the Internet. And you make a 2x on a lot of money and you make half a trillion bucks because now Walmart's got a market cap plus or minus of a trillion dollars and they're very much a winner in the Internet age. I was just thinking Those are the three games that you play and back when you're 25 and you have incredible drive, you don't have half a trillion dollars lying around you. You do Amazon. But you're exactly right. If you're an Indian Creek and you're like, oh, I don't have 25 years of working out of a desk. I'm like a 2x on taking 100 billion and buying a bunch of companies and injecting AI into them. Like I could have injected Internet into Walmart. Maybe that's the play, but it's inherently less disruptive and more financial engineering than doing either of the Shopify play or the Amazon play. I agree. I like the framing. It's what you do when you have too much money to want to do it the hard way.

27:45

Speaker A

If you talk to billionaires today that aren't pulling their hairs out because they're running public SaaS companies, okay, the vibe is similar. They want to do something huge in AI right now. They don't necessarily want to run it themselves. They don't want to be CEO again. Right. But they're very motivated to do one of these Plays. So we're going to see a bunch of these plays. It's what everybody wants to do. It's logical. It's logical. From, From. From Billionaire Island. It's logical.

30:18

Speaker C

I love seeing Sergey Brin rock up to a RA hackathon in Miami. I'm not sure if you guys saw this.

30:41

Speaker A

Yeah.

30:47

Speaker C

But in Miami, he came out at the end and you know, was a judge or whatever standing on ceremony of a very grassroots hackathon in, you know, a random part of Miami.

30:48

Speaker A

Maybe the only, only place left in the country hospitable to billionaires. So we'll watch. We're going to watch it accelerate.

30:58

Speaker B

Oh, my God. The oppressed species of.

31:04

Speaker A

No, no. I do think, you know, when I think about this, the New York qsbs and other stuff. Not, not. We don't have to do it. What I do think when you saw Sergey there, right? And he did. He didn't even move to the billionaire bunker. Moved to a different, different part of Miami Beach. But I, I do think what we're missing is. I. I think that it is the only place may become the only place in the US over the next couple years that is welcoming billionaires. Texas does, but Austin even doesn't. Austin has mixed views, but say what you will, and then I know it's hor. I mean, it's terrible. The only fans guy. I mean, very, very controversial subject matter. But where did he live? Live? Pompano Beach, Florida. Okay. Florida said be a billionaire here. Okay. And so we're underestimating. It's not just taxes with the Sergey, it is. You may only feel comfortable if you're Bezos or Sergey in Miami soon. Why would you feel comfortable in California or Washington? In New York? Seriously, why would you feel comfortable? Maybe Utah. I would feel. I. You just don't want to be attacked constantly. No human being wants to feel that way. Way you want to go where people will let you just be yourself and raise 100 billion or do whatever like leave me alone, let me, let me live. And that's what I think people are missing with the golden goose. They are making billionaires uncomfortable. And it's not just the money. It's being uncomfortable. That's Sergey. He ain't coming back. Except for staff meetings and hackathons in. In Mountain View. He's gone. Tell you yesterday I'm here in Utah and I saw Ryan Smith yesterday. I love him. Right. Founder of Qualtrics.

31:06

Speaker C

Okay.

32:30

Speaker A

People love Ryan and he took his money and bought the Jazz as well as hockey team. And he had a roug year with the Jazz because he traded some top players. But they love him here. They love Ryan here and in the Bay Area. Anyone. People are vilified. The billionaires are vilified. Why would you stay? It is only going to accelerate. So it's here's the thing. It's hard to predict the outcome. I really don't think adding QSPs to New York is going to lead to the exodus that the people wanted to do. We can talk about why, but they did it in California and that alone didn't work. But when you are uncomfortable living somewhere, you leave. Leave. And it is Ryan Smith is beloved here in Provo where I am today. Sam Altman is vilified and Dario gets a pass. Maybe because he gave away 80% but who the hell wants to live where you're vilified? Who the hell wants to live there? Cut.

32:31

Speaker B

Put Sam some slack. He apparently has no open AI to give away.

33:17

Speaker A

So it's Howard Marks left. I mean he's old, but he did leave. You want to be where you're comfortable.

33:21

Speaker C

Speaking of like the world hating billionaires, Grok announced essentially the debrief on the $20 billion deal to Nvidia less than $100 million in ARR on being acquired. Jonathan, the founder is going to make about $950 million after what will be a double taxation showing it's quite a costly thing taxes in terms of the IP and team acqui hires that we've seen. Then Chamath also reportedly made $950 million to which he responded on Twitter. He made much much more. How did we think about the analysis of this breakdown?

33:25

Speaker B

I think there's three different things you said we talk about and I think you should break them apart. One is how often do you see this kind of sub $100 million ARR revenue businesses going for this kind of value. Then the second thing is what was the structure and why does it result in double taxation? And then maybe the third thing is why does poor Chamat need to tell us he's rich all the time? It's okay, we believe you're rich. You may have made other people poor, but we stipulate that you are rich and even you are smart. You did a great deal here. Let it go. Poor guy. Therapy will help. But let's go back to the first one because the first question you asked in the notes, which you always ignore when it comes to the show, is when do you see this kind of transaction price? As if revenue doesn't matter. That was the question, when does someone pay 20 billion for 100 million in revenue? And I was thinking about that. It's easy. The answer is when the value to the acquirer is so high and they have the market cap to do it. And Nvidia, with a $5 trillion market cap, can pay $20 billion for something that's valuable. And there is another good example I thought of at scale, because it happens a lot at small scale. There are loads of tech M and A where some shitty little company's doing less than a million in revenue. Someone buys it for 100 million, which is 100, 200x revenue multiple. But we don't make a noise about it because it's just so small. And the reason they're doing that is because they can run it through their channel and they can convert that million in revenue into 20, 30, 40 million very quickly. Art has strategic value to them. The number of times it happens at 20 billion is low. But WhatsApp is the other great example of that. Facebook paid $16 billion for WhatsApp and it didn't have a dime of revenue. It was a great deal and it's still a great deal. So it does happen. But there's only a few number of buyers who can afford to do that.

33:56

Speaker A

The Grok one, they just announced at GDC last week that, that it's going into production. So that's different. Okay. And I'll tell you what I find interesting in general for venture. So they had 100 million in revenue. They proved the concept, they prove it sort of works. And Jensen said within a year, we can get this into production. That's worth billions. Right. And so it illustrates how weird M and A is. So weird. This deal probably was a multiple of the last round. The last round was at 6.9 billion. This is less common these days, but classically rounds would be 2 to 3x. The last of a growth round. Okay, that. That has collapsed for some reasons recently. But my first startup was acquired for exactly 3x around literally our acquirer downloaded our certificate of incorporation, found our per share price, and showed up unsolicited with an offer 3X. Okay, that's what I think happened here. What is so weird though, is that it's a reminder that so much of M and A, one way or another, is focused on revenue multiples, either directly or potentially. And then they're just abandoned after the deal. They're just. You're worth 10.2x. ARR. And then we fire the sales and marketing team after the deal closes and Roll it up into our core product. It's an odd thing. Necessary, but odd. Right. There's so many weird ways they are valued.

35:39

Speaker B

Agreed. And it's a weird thing because there's often this huge gap between what you worth standalone might be 2 or 3 billion dollars, what you worth to your acquirer might be 20 billion dollars. And it's a question of how does that 17 billion of value get allocated. And obviously sometimes it's the buyer is trying to grind you down to $1 more than your standalone value. And then sometimes, like in this case, they're like, hey, we will pay you a fair amount of what it's worth to us, which is way more than your worth on a standalone basis. But kind of segueing to the next thing. In return for that, you're going to use this structure which is widely tax inefficient. But it's the only way for us to get this thing done quickly and without government review. Which is the next thing to say here, which is the other point you're trying to make, is that the CEO, I mean, no one's going to cry for someone who made $950 million and they're not even a billionaire, so no one will hate them. So that's great. I mean, it's actually a win. Good. Another 50 million and Jason, the pitchforks would be out. But these transactions are very tax inefficient because what happens is the company sells the assets to Nvidia Books again because the assets were in the books at a sub a billion, another game sold for 20 billion. So you have to pay tax at the company level on that and then you dividend or redeem the money out and individual investors have to pay tax on the gain. So it's fairly inefficient. So you're probably wasting plus or minus 4 or 5 billion bucks on a $20 billion transaction because of probably to

36:53

Speaker A

the founder, Jonathan, it's roughly 60% effective tax rate and you can't hold Nvidia stock. You're cashed out. Right. There's so many inefficiencies in this deal. One, you don't even get the ip, right. You don't get the company, you don't get anything. And it's a 60% tax rate to the founders and no ability to roll over the stock. Avoiding antitrust is worth it, probably for the 950 million. But man, this has got to be the most inefficient thing ever convoluted to avoid antitrust. It's so Expensive.

38:18

Speaker B

It is worth pointing out. It's just quite terrifying from a government perspective. You now have a process whereby the government makes the rules that enforces the antitrust. And basically you've got two choices, it would appear. You either lobby extensively at the highest levels of administration and you get a waiver from the top down. Put a Wall Street Journal article this week, which was pretty good, and option B is you do it this way, and then you pay double taxation and the government wins. Either way, wire me the money and I'll let you off. Or wire me the money after it closes, but wire me the money. Either way, it's a really perverse incentive. I mean, whoever comes into the antitrust division next time and says, I think we should clean up the rules and make it much more transparent, it's probably going to cost the government 20, 30 billion bucks in terms of some combination of kickback and tax avoidance.

38:47

Speaker C

I have to say, I do like it. Jonathan was in the desert and the dark for many years, and he is a founder who's been a real, respectfully, cockroach who's gone through the hard times. He's gone through the criticism. He's also just a good dude. I like him a lot. So it's nice to see good people win.

39:33

Speaker B

Just like Chamat, another good guy who's been through the wilderness and has now got his 950 million. So I'm sure that's the point you're trying to make out.

39:50

Speaker C

He needs money, Rory. Okay, he can now buy some more. Laura Piano. Rory, you brilliantly said it to me. You know, that's great, but what about me? I own stock in Amazon and I own stock in figma. Okay, Google launches Stitch. Figma tumbles. Figma tumbles is an understatement. I saw a tweet. It was actually an announcement that someone posted, and sequoia were buying 35 million bucks of Figma stock. And I was like, fuck, if Sequoia and Andrew are buying 35 million bucks, I'll put in some of my money. That's a good sign for me. I'm down 22%. 22%?

39:58

Speaker B

Yeah, it's 21.66 a share. I remember, look, when it was at 108 and you asked me what I thought it'd be, I said 35 and I was wrong. You laughed at me because I was so pessimistic and I was wrong. It's 21. Wow.

40:36

Speaker C

Does this have a floor?

40:48

Speaker B

Of course it has a floor. I mean, stop. Again, it has a floor based on its cash flow, which is strong, it has a floor versus growth rate of that cash flow. The third element is the probability of disruption. The tricky thing about the equity business in the short term is everybody gets to speculate on that probability of disruption. So you take the cash flows and then if you love the story, you apply uplift. See Elon for details. You take the cash flows and then if you're really scared about the story, you apply terror downlift, which is what's going on here now. In the end, if the business is worth it, it will grow and it will generate the cash and they'll get to do what the Palantir guy does, which I so love, which is every earnings call, he basically slams all the haters and says, basically, fuck you, I'm making money. And you all were wrong. In the short term, the market gets to bitch and moan and have its opinion, but the floor doesn't come because the market changes its mind. Maybe it will, maybe it won't, but that's only in your control. If you're running figma, the floor comes. If you execute, you demonstrate that you've been able to adapt to an AI first world, you generate the growth, you generate the cash flows, and eventually it'll turn. But that's why drawdowns are shitty. That's why drawdowns are hard.

40:50

Speaker A

On the Stitch Figma thing, I mean, I've used Stytch, of course, as you would imagine. I think most folks that chimed in on this never used it. I'm confident, 98%, Jason, for those that

42:02

Speaker C

don't know Stitch is what.

42:11

Speaker A

For those, it is a new design tool that Google launched, and the bar at Google to launch a new AI tool is pretty low. They try a lot of stuff and they abandon almost all of it because then they focus on a few core products. So you literally cannot take it seriously when Google launches a product because you have no idea whether they will stick to it. They launched a Sona. Is it Sona? Sorry, I keep getting this wrong here. The. The audio one, right? What's the one source? The. The audio one?

42:13

Speaker C

Oh, Suno.

42:37

Speaker A

Yeah. So Google launched a Suno competitor. It's like cool, but it's not nearly as good. Like, it doesn't really work. Will they keep with it for five years? I'll bet you dollars to donuts they don't because it's not core. Okay, I used Stitch. I've used all of Google's design products. I think the odds that they decide to build a Figma competitor from this for A decade approach zero. So on the one hand massive market overreaction to a to a proof of concept. Give me an effin break if I'm Sequoia or whatever. On the other hand, the markets are saying we are extremely worried about disruption. You better prove to us Figma Atlassian Salesforce, you are ahead of disruption and not behind it. And the market said we don't believe it. And I agree with the markets here because Figma make is one of the worst products I've used in the last six months. But stitch on its own, at least it's better than make. At least it can take context from a website and not and not hallucinate. But the market should be where show me the money again. Where is Figma's 300 million of revenue from disrupting Replit and lovable like we talked before. And so if you haven't delivered like Palantir or started to deliver like Salesforce, the markets are going to frigging panic that your revenue is not that durable. This is what I think at all. Like I didn't get the 2026 panic for a long time. I was slow. Now I get it. The markets are rationally saying we no longer believe this revenue is particularly durable. People, old SaaS, people. P doesn't believe it. Qualtrics couldn't finish its debt offering this week. Salesforce barely got its debt done. And why they don't. The markets just. It's not that they think that that Figma is a bad company. They just don't believe this revenue is going to last a decade anymore. They don't believe it. And so you're going to see more and more of these panics for anyone not accelerating people, they're just going to panic every time it happens.

42:38

Speaker C

Jason, we just released the show with the CRO of Figma and I asked him how are you seeing AI implemented into your sales teams? And he said honestly, we don't really have that ability and we haven't done it yet. And oh, and we're hiring a lot more in sales by the way. We're not reducing headcount at all. We're not seeing that. And oh by the way, we're not seeing seat pricing change at all. How do you feel when you hear that?

44:23

Speaker A

Because that one, ironically, Harry, ironically that one does not worry me as much as the product. I will tell you what I've learned you formally on the other 20 VC, me informally, I know, I've talked to, I know a lot of the CROs and CMOs at leading AI companies, the ones I'm close to are pretty good. But I also see tons of folks I called recycled mediocre. They are folks that bombed out of old B2B companies that barely did anything there but because they have the right logo, got hired to a soup. They're all over the hot AI companies. So many recycled mediocre and they're going to hire 250 reps and not train them and they're going to build infographics but the products are so strong and the demand is so strong it doesn't effing matter. So if if Figma make was so great and their AI product was doing 500 million, you could sell it with folks fresh out of a non technical junior college. It'd be fine. Right? So my point is, even though I talk a lot about AI go to market agents and I believe they're great and they work, they don't fix product market fit and sales does not fit product market fit. And we're seeing decaying product market fit. That's why the market panicked on fix. They're seeing hints, just hints of decaying product market fit in the AI era. And you should panic.

44:48

Speaker B

Yeah, Harry, just to pile in on that because I actually have these conversations with my companies all the time. I didn't think. I totally agree what Jason said. It's like when my companies come and say hey, we want to talk about AI and they say hey, look at us, we're using AI and go to market. Or they say look at us, we're using AI to build engineering. I'm like, that's great but nobody gives a rat's ass. That's like jacks to open. That's not solving the core problem. Unless you're making something like cars where it doesn't matter. It's just back office efficiency. If you're a software company, the number one question is how does AI change the end product you deliver your customers? That's what's going to determine success or failure. I was wondering. I'd have guessed you'd have piled onto that guy and bludgeoned him while he was down. Because I thought Harry served you up a softball for you to say, hey, that you idiot is not using AI. And I'd have argued with you, but I think you nailed it. You could be using AI well or badly and go to market. You can be using AI well or badly in engineering. It will catch up with you over time if you're not using it well. But that's not what's driving 30, 40% price declines. What's driving that is exactly what Jason said is the market. Look at this. And saying there's disruption risk here, I don't know the terminal value here. I'm just nervous. So I got to be paid for that risk.

45:56

Speaker C

It didn't take my softball, did he, Roy? That was normal.

47:09

Speaker A

Normally it is a softball. But Rory's got the important point. You got to have the right AI. Your company's going to decline. Listen, I'm sure the Figma guy is great, but honestly, if I interviewed a CRO today and didn't have any AI agents that he, he or she had brought in to our last podcast, I would recommend to the CEO don't hire her.

47:12

Speaker C

Him.

47:26

Speaker A

Okay, for sure. But what I think this was would I be much more worried than if I talked to a CTO and the new CTO they wanted to hire didn't really believe in using agenta coding? Then. Then I would ask for my money back. Can I have all of my investment back at 1x? You can keep your mark up. Just give me my 5 million back.

47:27

Speaker B

I'm going to go one level more than that. Is that you're right. Not using AI and go to market bad. Not using AI to build product. Maybe I want my money back. But if you're a software product and you don't think AI is going to disrupt not just how you build but what you build, then you actually probably want to actively short it. If figma or Salesforce or someone was to say I don't think AI is relevant for our customer base and they don't want to use AI in design. If someone was to to take that pain, you'd be like, oh my God, you're just going to be, you know, just left behind.

47:44

Speaker A

Yeah. And that's why figma's insensitivity to how mediocre make is really worries me.

48:12

Speaker B

That's actually an interesting care.

48:17

Speaker A

If, if, if Dylan or the team said listen, we're make isn't good enough. But what Give me time, give me six months. It's going to be great. But saying this product, that is the worst vibe coding tool I have used in the last six months. The fact that there is no public awareness that this is an issue really worries me.

48:18

Speaker C

Jason, can you help me understand that because Dylan is a good CEO?

48:36

Speaker A

Listen, I don't know for sure, okay? But I think every one at scale has a trap which is their installed base is a trap. It is an opportunity in a trap. It is the greatest thing in the world to sell Your agentic product to, to sell agent force to is the 44 billion of AR. It's the greatest opportunity because you don't have to earn that base, right? But it is also 50 years of debt, 50 years of features, 50 years of offline integrations, non agentic gaps. They want 50 years of endless work. And if you're not careful, it will consume 98% of your resources. Is that install base, right? They need so much attention. And I do think literally make is the only vibe coding product that I have used. Where you say build me a website for 20VC. Use 20VC.com as a template and it can't go to 20VC.com and pull the context and make the website. Now replit couldn't do this in June of 2025. Lovable couldn't. But anybody can do it today, right? Including you know who could do it pretty good was Stitch. Stitch got the context right of the design projects. I get it. And that just shows to me whoever's running it doesn't care about these use cases. They just don't care. It has fallen behind. And I really, my guess is, my guess is there's a small team on this. You know, they're still growing what, 35%, right? I mean this is, this is one of the best out there, there. But here's the trap. And we all have portfolio companies like this. The trap of earning that 35% can imperil your agentic growth. It can consume more than 100% of all the product and engineering and CS resources you have, right? Even Michael Cannon Brooks, when he was on the show, he alluded to it, right? And then they did the layoffs. He's like, I got to get these resources because otherwise JIRA and confluent and everyone's going to suck it all up. And I have no people. It's a trap. And think of some of your portfolio companies that scale north of 100 million. They don't describe it this way, but you know, it's a trap. Especially when they have a mediocre VP present at the, at the board meeting. And the mediocre VP is like, I just, I want to do it, but I don't have the people. I need another 700 people to build that. You know, like, ugh.

48:39

Speaker B

It is so hard to say I'll allocate to the new thing first and allocate the residual to the old thing. And you're right. The instinctive is to say I'll deal with the old thing and then I'll Find some people for the new. You're right, it's a mind shift. That's an interesting point.

50:36

Speaker A

And, and you know, I don't want to overstate the intercom example but. But if you want to use it a case study, it does illustrate what you have to do. And Owen was clear, we let our core business go into partial decline. It's very hard for. Almost impossible for a public company though it's lucky being private because you know, you gotta have a lot of guts to say we're gonna let a 1 point something billion dollar design business decline a little bit so we can build our agentic product. It's tough when you're public. Right? Right.

50:50

Speaker C

Figma is at 21 today. 12 billion market cap. Would you buy it today?

51:14

Speaker A

No. I don't see any evidence of these agentic investments working. I would rather miss out on the bounce right off the hard deck than invest in something that may fall below it. The reason is there's too much change. My God, there's so much change. It's so fast. Make would have been a great product in August of 2025. It's just not today.

51:19

Speaker B

The problem with the balance hire and it's a first world problem is say you buy a 21 and the concerns are overdone, you're back up to 24, 25, 26, so you've made some decent money. But you sell it, you get ordinary income, blah blah blah. Net of taxes. Risk adjusted isn't worth it. Right. The only way you buy is, and I'm not saying I have the answer to this, when you buy stocks because you want to hold them for five or 10 years, you just do better, especially tax adjusted than when you buy things because you think there's a short term bounce. I personally think that almost all of this stuff is overdone. There probably will be 5, 10, 20% bounces across a number of these companies. But to want to buy it, I haven't done the work that Jason's done. But he is right, you only should buy things if you think five years from now there'll be a winner in the future. I think it's totally plausible. Figma could be. But Jason, until you've used the product, until you've seen what they do, I wouldn't make that decision, especially at scale.

51:39

Speaker A

Well, here's the tough thing and Figma is clear. You just had them on Harry. Are they materially charging for their Agentiq products? Are they monetizing it? No, they're not even really charging. Look at your Portfolio. Why the hell would you not charge for your AI product today? Why the hell, when, when anthropic's doing 22 billion in the blink of an eye, when people are lining up out the door to buy agentic legal products and healthcare products and open evidence. Why would you charge almost nothing for your AI product? Why? It's not good enough. Literally. I was with a founder this last week who used make and got very far with it. If nothing else existed, it would be amazing. Amazing. If this was 14 months ago and they built their own LLM and they could do this on their own, our jaws would drop. Right? But it's not. If it's not good enough to charge for, it doesn't count. You're not an AI company if you can't charge for it. Very few public companies can effectively monetize AI and that's why they're all in terminal decline. Almost all of them at the moment are in terminal decline. Will they pull up? Pull it back. I'm not going to buy their stocks until they do. I don't see any point. Point.

52:34

Speaker B

For the record, that's an excellent test.

53:35

Speaker A

Yeah, you can't even figma can't charge for it. It's a very, very bad sign going into the middle of 2026. Terrible sign.

53:37

Speaker C

I'm naive here, so forgive me for this. Are Notion charging for it? You've spoken before about Notion's brilliance and the integration of their AI capabilities. Are Notion charging additional for that AI capability or is it just a superior product?

53:46

Speaker A

Well, first if I said I thought it was truly brilliant, I misspelled. I use Notion all the time. I think they're good. I don't think it changes the game in way other products do. But the simple answer to your question is they have been able. Look, they're not public, right? But if you combine what they've said with their pricing page and their announcements of acceleration and the fact that they have effectively doubled ARPU from it, doubling ARP for. Here's a way to look at an SMB product today. Is your ARPU 50% or higher than it was pre AI? It's a really simple test. Can you Drive ARPU up 50% or more? It's very different at Salesforce or ServiceNow. It appears that Notion has done that. In which case they passed the test. Right, But I want to see 50% or more ARPU growth due to AI. Or it's just a feature. It's just a feature, like an integration. Great hard work. Good job guys. Let's have beers but it doesn't count.

53:59

Speaker B

Yeah, I mean re acceleration is the aggregate test to your point 2 weeks ago Jason Right. Something's got to be going better across the marketing KPIs. It can be charge every a product, it can be re acceleration, it can be acv, but something has got to be working and getting traction. Otherwise you are falling behind Because AI first players are delivering utility to their customers and that's manifesting in those customers giving them money. So if you can't make the same phenomenon happen one way or the other, you're falling behind.

54:52

Speaker A

Well obviously the market rejected Microsoft copilot products as things they didn't want to pay more for. Right? That's the example of stumbling notion with AI is 20 bucks a month. The basic is 10 if everything ties and private companies have an incentive to be honest but polish the numbers a little bit, right? CPAR conversation yeah, but assuming there's at least a substantial amount of truth in what they've said, then it's working. They're able to charge $20 a month for their agenta product not because they splashed an AI label on it, but because it's so much better that it is worth it to talk to your docs. To have have stuff flow into your database autonomously it's worth 20 bucks. I don't love the pricing. I suspect as the year goes on we're going to see the same thing at Slack because most folks haven't used it. We're on it. The AI version of Slack for certain use cases is so much better. I don't love that they're not just charging another four bucks a month. I wouldn't be surprised if it's a dramatic if it's like notion like they're able to do it right.

55:22

Speaker C

Speaking of figma, I'm going to go a little bit off piece here but I think it's worthy. Jason we were on Twitter about it earlier joking Mamoon announced raising the new KP funds a billion dollars for the early two and a half billion for the growth seems small. I mentioned meeting him for the first time at SAS to Jason, if you'll believe it, 10, 10, 11 years ago in a side room kind enough to give me time. My takeaway is honestly you can't do early and you're gonna kill me Rory with less than a billion if you're gonna compete to lead A's and my reasoning for that is A's now are 30 to 40 million and if you want to lead them you need to be able to write 25 to 30 million dollars checks, you need 20 across a firm. So if you need 2030 million dollar checks, you're at 600 million. I would argue that your fund scale is as small as it could be to lead A's today.

56:18

Speaker B

I don't entirely disagree in the sense that, you know, it's a $900 million fund. And you're exactly right. I mean, the math of what you throw out is correct.

57:11

Speaker A

Correct.

57:18

Speaker B

Series A's, you're writing an average of a $20 million check.

57:19

Speaker C

But I don't even think 20 is

57:23

Speaker B

enough these days on average. Right. If you hustle, if you find some deals where it's a little off the beaten track, I've written A's where we've gotten 20% ownership of 12 or 15. So it's not all. But let's just go at your average, Harry. Rather than arguing that it's 50% reserves over six or seven funds, we've been 50% reserves. So you end up with $30 million in the average deal, then. The last comment is a portfolio concentration versus diversification question. I think given the higher time to exit, you probably tend to be nearer to 30 than 20. So, yes, I think there's a certain small S scale required to play meaningfully in the Series A business. Yes.

57:25

Speaker C

Rory, can I ask you. You've got 720 of investable. You can't have a reserves of 50. 50.

58:05

Speaker B

No, I didn't say 50. 50. You didn't pay attention, Harry. 50% of it. Because there's two ways of expressing reserves. It's just simple math. Let me help you. One way is expressing it as a percentage of original capital. And in other words, if I put in 20, do I reserve 10? That's 50% of initial capital. And mathematically that's the same as saying 2/3 of the money goes in in the first check and one third goes in in the later check. You're right. I'm not reserving 50% of the total amount. Do you understand me? Those are literally.

58:11

Speaker C

Now, I do, with that clarification. Thank you for clarifying that.

58:37

Speaker B

I think I used the prepositions correctly the first time as well, but okay, it's good to be clarified. But to be fair to you, people do express it both ways. And sometimes precision is important. I always think of it as the amount of money you've put in and then the amount of money you have in your back pocket to defend that money if you need to, or expand on that position if you want to. What it says is. And this is another insight, unlike for seed, where you also have a big fund and for that kind of Series A game, the Series A is not for us, especially for a firm that just has checks for A's and B's and of this size, it's not an option value on putting a ton of money in later. Most of your value is made on that first check. Whereas these folks who have C or even A funds where their real plan is to put 200 million in at the B or C when it's working right. To some extent, the A is an option value. But just as Jason, for Jason, the C check is the check for us, the A or B, because we're roughly about half and half is the check. You're not saying, oh, I'll put in a little now and write more later. That's not the way the game can be played.

58:41

Speaker C

Rory, are you finding it increasingly uncomfortable with the expansion of Series A rounds? Because our checks are getting stretched bigger and bigger. It's ruining our math.

59:39

Speaker B

I mean, it is somewhat uncomfortable, but I think you have to find the deals where that's not the case or the side in some cases to reach. I mean, and that's. I'm going to put both sides of the challenge out there. There may be some deals that are too capital intensive and you decide, I don't want to do that because I'm just not getting paid for that risk. But you're right, the average round that we play in has crept up, right? Not just the amount we do, but the average round that we play in has crept up over the last year, year and a half. So yes, it's not, I would say, to the acute level of oh my God, we're perfectly happy with the checks we're writing and the round sizes. But yes, there are times, especially for example example, we haven't done any at scale of the kind of the Neolab seed checks where you're just so outclassed with your 30 or $40 million check, it's barely worth playing.

59:48

Speaker A

How big is the Hummingbird fund?

1:00:32

Speaker B

They just announced it's 800.

1:00:34

Speaker A

800. Where have they grown their fund size? From overtime from doing inception investing 2,

1:00:36

Speaker B

300 of, I think initial capital. It's the same fund they always had. But adding a growth fund to a

1:00:42

Speaker A

rounding error and then didn't Balder didn't lead the seed in revolution.

1:00:47

Speaker B

Yes.

1:00:51

Speaker A

And then who did they just do it a billion this week. It's just the game is does change. We were really good at doing revolut at 4 now billion dollar rounds are a good entry point for us. It's just a lot of change, isn't it?

1:00:51

Speaker B

Yes. Look, we track it on aggregate versus our 2010 checks. You're probably up roughly 2x in terms of the valuation and I think that's significantly lower than the industry's whole.

1:01:04

Speaker A

Well, look, his point's hard to argue with which is if you want to own 15% of a company or whatever your target number is and deal sizes have inflated, there's a basic math you have to do right. With reserves. And that math is in many cases highly stressed in the market today. It's just a, like, it's a fact. Like it was very easy to solve to your fund size before, right? It was 60 million per partner for seed, maybe 100 for a or B. And then it would go up a bit. The math was so simple that all these funds were. But that math just is broken today and it creates interesting. I don't find it super interesting, but it is a little bit broken. Right. And so if you're Gary10, you say the $100 billion outcomes make it irrelevant. I don't know how they work, but I was just looking, I was writing an answer. I was writing something up on Whiz and cyber starts. Owned 4% at exit. Okay. I don't know whether that's dilution or his model back then, but the model still works for a seed fund at 4% of exact of 30 some odd billion. Right. But that I think we're going to see more and more of those dilution in time. We'll see more and more seed investments eroded to 3, 4% and if they, I'm just doing one example. They'll be eroded. And if the exits are, you know, north of 10 billion, it's okay for a seed fund, right? But it's, it's tough. I don't have the answers. I just think the old math was easy, right. We need to do 15 to 20 investments per fund. 15 million the average check size and you could roll up into fund size. It didn't make you fall out of your chair.

1:01:17

Speaker B

At the risk of being a dick. The math is easy both times because math is independent. You just don't like the answer. Right. Multiplying a Pre money of 50 is no harder than multiplying a pre money.

1:02:46

Speaker A

Math inherently creates more risk unless the outcomes are massively higher. We are levering up our risk. To Harry's point.

1:02:56

Speaker B

I totally agree. I was just being a mild little jerk because I'm Thinking I'm getting grumpy. Exactly. It's not that the math is complex, it's just that the consequences are unpleasant. We said it over and over again. Everyone's pushed out on the risk continuum.

1:03:05

Speaker C

But it does feel like times are changing faster than fund sizes are able to adapt in a way that they haven't done in previous cycles. Like our normalization of billion dollar plus rounds. $100 billion plus raises.

1:03:17

Speaker B

Yeah, I think that's actually true. That's actually a good reflection because I've lived through 95 to 99, the run up and the billion dollar fund. And I also lived through unwinding watching all those funds being unwound in 02 and then obviously 2007 that unwind. And even 2021 this feels faster than that. The action on the table and the need to play at a high level. Yes. Which is why I think every VC is stressed right now. No matter how successful you are, no matter how well your last deal that you did three years ago is doing. Everyone wrestling with doing deals now is grumpy. Be stressed and feeling. Feeling the pressure.

1:03:29

Speaker A

But I think there's one risk that is under discussed. All this fun math can lead to concentration risk or ownership risk. Like at least for a smaller fund I have to deal with concentration risk or ownership risk. That's the. That's a simple trade off. You can't. That's my maths. Right. The one that we are just ignoring because times are so good on paper is who the hell is going to buy these companies if they don't ipo? What the hell are replit Lagora Harvey level?

1:04:05

Speaker B

What?

1:04:27

Speaker A

What? How much is lovable worth in the last round? 8 billion. Billion.

1:04:27

Speaker C

6.6.

1:04:30

Speaker A

Okay, let's be honest. Who the hell is going to buy them if they don't IPO? You really think Google's going to buy them for 32 billion? It could. Look, don't get me wrong, it could happen. And acquisitions are not up. Right. Dollars are up. So I just. My point that is under discussed is we are doing these, these post billion dollar deals like. Like candy. And at least in the bubble of 21 there were PE exits. There were many exits out there. We have outstripped any current ability for these companies to have any exit. So you are going all in on the IPO and not without any worry, rhyme or reason. And I think so many folks sub anthropic are going to get their arses burned because they'll end up in the dead zone. They'll have great companies without great IPOs and 0M and A opportunities. And I'm not saying don't do it. I want my markups on paper. I got to do an LP announcement this week. Week. I want my TVPI and my IRR to look good. But it's also terrible. It's terrible to raise north of a billion. It's terrible. I mean, Grok is great, but a lot of the stuff is not grok.

1:04:31

Speaker B

Agree with everything you said, and what's hard about you saying it is that the strategy that has worked has been precisely the strategy of doing those rounds above a billion and getting the round beyond it. But you're right, it's all predicated on being able to exit these companies. I will say, just to remind you, you can imagine a world of IPOs where some of these companies exit, but if the last rounds don't have a block, it's not necessarily going to be above the last round. There are some awesome AI applications companies where you go, I totally see how that's worth $5 billion in three years based on fundamentals. And right now it's valued at 10. And three years from now I could contemplate it going public at 5 billion and you kind of go, that last one. The 10 is going to have to convert and take 50 cents on the dollars. Unless it has a meaningful block, in which case it will get more of the company.

1:05:34

Speaker A

Yeah, for sure. I just worry there's some ratio of potential acquirers divided by unicorns and I think we're at the lowest ratio of our careers.

1:06:23

Speaker B

Yeah, no, absolutely.

1:06:31

Speaker A

The lowest ratio of potential acquirers divided by unicorn. Unicorn plus up to Decacorn, they're just not there. We've lost all of pen. And Nvidia isn't buying 100 companies. Microsoft is not buying 100 companies.

1:06:32

Speaker C

What is the subsequent thought then, Jason? Sell aggressively into secondary markets which are more liquid than ever.

1:06:44

Speaker A

Well, probably for early stage investors, sure. Sell while. That's the hopping lesson. I know you love to talk about it, Harry. Maybe that's the lesson.

1:06:49

Speaker B

I don't think it is. Can I just push? I don't want to use the hopping example because then people will. Because I actually think I'm going to make it a more interesting discussion. Because when you do hop in, people go, well, my company's not hopping. No pun intended. I think you're saying, even for your fucking great companies, excuse my language, great companies where, you know, in the end they're not going to be hopping, they're not going to be vanishing a puff of Blue smoke, you're still right. Which is those last rounds might be at prices you'll never see again. And what should you do as a seed investor? I mean, what would you do if a company where you invested at 50 you thought it was worth. It could be an M and a at 2 billion at some point in time and suddenly you get around at 5 billion of new money and there's a secondary opportunity. You're starter for 10. What do you advise?

1:06:57

Speaker A

Yeah, listen, maybe just as we're now okay with down IPOs, like we're okay, it's just mathematically true.

1:07:38

Speaker B

Yeah, we are.

1:07:44

Speaker A

Maybe we'll all be chill with down M&As. And all these folks raising at 9 and 10 can sell for one or two in a few years and everyone will be happy. I'm just not so sure that they will. And I'm. But I'm more worried there's just not going to be a lot of acquisitions. They're very specific to either we're desperately behind on AI or we need to jump forward years. That is a very narrow subset versus making sure accounting software at 5 billion is better for accountants. I believe that's a great market. I just don't believe the hyperscalers are going to buy these companies.

1:07:44

Speaker B

Yes, because by definition at the app layer you're not getting the hyperscalers. And the odd thing is, actually I just realized this for the first time. The odd thing is because of this story of eat the work, the TAM is meant to be larger. That's the whole point of these application plans. And I believe. But Jason, to your point, what it means is you are definitionally therefore the new company is larger in terms of value than the old company you're replacing, which means the old company can't afford to buy you. If you're Harvey and you're worth $10 billion and Wes, it's not really. It's worth more. But if the old practice management law software is only worth 2 billion, they're not going to buy you. Basically it's win or die. To your point, I think you're exactly right. When the TAM becomes bigger, the new company gets marked up and has potential to be a bigger outcome. But what it means is once it gets marked to that bigger outcome via late stage round, it precludes the prior generation buying in. If I was running one of those prior generation companies, if I was the system of record, you need to be doing this buy in the not marked up 500 million valuation company and getting something out there. But you Can't. No matter how hard you try, as the old generation legal software company, you can't afford Harvey at 10 billion. So it doesn't matter what you want. You can't afford to buy them and they can't afford to sell to you. I think you're exactly right, Jason.

1:08:14

Speaker A

I just wish. Listen, even if IPO markets are barely functional, they're open, but they're barely functioning. If the M and A markets are on fire, I'd be good with everything. If we were turning around and these companies were being bought for 10 billion cash each week, I'd be like, this is awesome, man. But it does worry me a little bit that it's so much easier to get a $9 billion valuation than a billion dollar exit.

1:09:33

Speaker B

Which should be terrifying if you're the people giving a $9 billion valuation.

1:09:54

Speaker A

I mean, you got to play the game on the field, but.

1:09:58

Speaker B

Well, actually, for the record, sometimes you can stick your money in your pocket and not play the game on the field, but that's okay.

1:10:01

Speaker C

But you're playing the game on the field, Rory.

1:10:07

Speaker B

Part of it. And the bits I haven't played have been, we haven't done deals at a billion dollars. We kept it in a 100 to 3, $400 million pre money valuation. And right now that's been the wrong place just to put it out there. I give all credit to, for example, Spock Yasmin there at Spark, who broke all the rules and said $4 billion for a pre revenue company at Anthropic. That's paid off for Matt Murphy at Manlow.

1:10:09

Speaker C

Matt has consistent.

1:10:34

Speaker B

Seriously, Matt did it too. Totally. Yeah. So my point is some of the late stage bets have paid off on average. I share the concern. So to your question about playing the game on the field. We're playing part of the game on the field, but we're a bit scared of certain parts of the valuation curve. I think that will probably across the cycle be the right decision. I'm not sure in the last year or two it's been the right decision, which is always a challenging thing about valuation.

1:10:35

Speaker C

I shouldn't be so honest, but I. Fuck it will be. At the end of the day here, my biggest regret with our Series A fund is not being more elastic, disregarding the Series A mandate and just saying I'm going to leverage the brand and the access that I have arrogantly, forgive me for that. To get into super hot companies like your Elevenlabs, your Lagoras, your, you name it, your Lovables much earlier and being A momentum investor in a hot environment.

1:10:57

Speaker B

I'm going to paraphrase what you said is my current plan is to write $20 million checks in Series A investments where I get 10 to 20% ownership and I can write 20 of those checks. In retrospect, you're saying I should have taken five of those checks, the full 20, not a bitty trick, but a full ticket. Or maybe even double down and use a two ticketer and done some deal at a billion pre or 2 billion pre because those deals with momentum had even more momentum. The interesting question is because I wrestle with this a lot, so I know it's an interesting question, is if your mandate is to do 20 Series A's where you get 10% to 20% ownership and you stick to your knitting and you do your due, should you have taken five of those slots and used same check size or maybe even larger check size and done Cs, Ds and Es at 1 billion 2 billion pre and got two markups already. The truth is, in some cases, not only will you get markups, but you will get returns commensurate with series A, but at much lower risk. And anthropic will be the definitive version of that forever. Not actually the rounds Spark and Menlo did first because that really was risky, but kind of the rounds at 14 and 60 billion were risk adjusted. Freaking awesome. Now back to your point. I wonder, will all of those rounds in those other AI apps companies be as good for precisely the reason you articulated, which is that maybe the TAM doesn't support that exit. But right now Harry's right. You look at the lovable at 6, maybe you could have done it at 1 or 2. You'd have a 3x step up with no hassle, no fear, no early stage, the sweet spot of investing. I mean, it's something you said, Harry, and it was true, but tautological. You said, I wish I'd been a momentum player in a rising market. The definition of a momentum strategy is it only works in a rising market, right? But yes, in the market we've been in for the last three years, it's hard to distinguish momentum players from very shrewd players. Both of them have worked out really well. That's the kind of step back I

1:11:22

Speaker C

don't think shrewd players have. Actually, that's my point. I think shrewd players have appeared disciplined, remained temporarily diverse like me and you are, Rory remained with our high ownership targets. And you've had players is abscond with aums like never before pay insane prices and get fast markups and in a lot of cases DPI could zuck buys you an insane price.

1:13:19

Speaker B

Brutal commentary. Then maybe you and I aren't shrewd look in the mirror.

1:13:41

Speaker C

Very possibly. And that's the self reflective question as I introspect which Mark Andreessen doesn't do. Clearly.

1:13:46

Speaker B

Yeah, yeah, no introspection here please.

1:13:52

Speaker C

No, that's what there.

1:13:55

Speaker B

That's the ultimate look. The truth is that is the question everyone wrestles with. When do you stick with your strategy and when do you break it? And what's a good reason to break it? Absolutely. No. We all agonize with that. And that's why Jason I said the kind of trivial breaking it just to be silly. Isn't that interesting? But sometimes breaking it could be the right strategy and that's the hard one. There we go boys.

1:13:56

Speaker C

It has been a pleasure. Thank you so much as always.

1:14:20

Speaker B

Jesus that was quick. We ran out of time.

1:14:23

Speaker C

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