[BidClub_]
20VC · · 80 min

20VC: NVIDIA Invests $100BN Into OpenAI | Is Triple, Triple, Double, Double Dead | Navan Files to go Public & Notion Hits $500M ARR | The Impact of H1B Visas on Startups in the US

Harry Stebbings

Podcast
TL;DR
  • Nvidia’s $100 billion commitment gives OpenAI permission to test the scaling thesis until returns—not financing—force a stop. Rory O’Driscoll called it “not an infinite money machine, ’cause it will end,” but said the market has effectively told Sam Altman, “Have a go.” Jason Lemkin emphasized Altman’s claim that OpenAI needs “three orders of magnitude more compute,” while Rory remained unsure the marginal $300 billion can earn an adequate return.

  • The AI trade rests on extreme concentration and a historic gap between spending and realized revenue. Roughly six customers reportedly generate 83% of Nvidia’s revenue, yet those buyers—OpenAI, Google, Meta, Oracle and peers—are determined to “spend themselves into oblivion.” Harry Stebbings distinguished the genuine application boom from an AI CapEx boom running near $600 billion annually against only $30 billion–$40 billion of current revenue.

  • The moment rhymes with 1999, but today’s giants possess enough cash and mutual guarantees to prolong the cycle. Jason contrasted Web 1.0 companies that simply ran out of money with an ecosystem where suppliers, customers and infrastructure providers backstop one another; Nvidia itself went from $3.8 billion of free cash flow in fiscal 2023 to $60 billion in fiscal 2025. The warning sign is capital allocation: Nvidia repurchased $9 billion of shares last quarter and authorized $60 billion while the stock and broader market look “very frothy.”

  • Venture’s apparent concentration is largely a new private-public market layered above a relatively stable early-stage business. Seventy-five percent of 2025 VC dollars reportedly went to 19 companies, but Rory argued that the remaining 25% still resembles historical venture, while an extra roughly $50 billion a year, or whatever the exact figure is, funds ultra-late-stage winners. “Triple, triple, double, double” is not dead at meaningful scale; it simply no longer guarantees an effortless raise, particularly outside the most fashionable categories.

  • A celebrated company and a celebrated return are not the same thing: OpenAI and Netskope could each deliver roughly a 7X to certain investors. Rory estimated that OpenAI’s earliest 2019 money may be up 7X–8X on a blended basis after follow-ons, despite Harry citing a claim that 10% of the world’s adult population uses it weekly; an early Netskope position could produce a comparable multiple. Whether to sell depends first on fair value, then on concentration, taxes and marginal utility—not on the emotional certainty that “there’s another card to play.”

  • Navan’s IPO filing is both a recovery story and a bid to reach public markets before investors choose adjacent comparables. The company disclosed $613 million of revenue, 32% growth, 10,000 customers and 110% NDR after travel revenue probably went to zero in March 2020. Although Navan is chiefly a travel-booking business rather than a Brex- or Ramp-style card company, the panel judged going first strategically smart—even before profitability—because “you definitely don’t wanna be last.”

  • Notion’s $500 million ARR and reacceleration show that scaled SaaS can earn an IPO without becoming an entirely different company. Growth around 30%–40% could support perhaps a $4 billion–$5 billion valuation, potentially more, but nowhere near every 2021 watermark. The broader reset was blunt: “flush” old decacorn valuations, price Airtable and peers on growth and free cash flow, and recognize that investors appear determined to repeat the same diligence mistakes in 2025.

  • The $100,000 H-1B fee may have a modest immediate startup effect, but it is directionally harmful to the talent engine—and emblematic of crude policymaking. Jason’s first startup employed two H-1B transfers among its first 10 people and, he said, could not have achieved its exit or life-saving work without them; big companies will pay while founders seek O-1 alternatives. In the same overheated market, “founder-friendly” has become table stakes and theater: the real test is who writes the check, recruits the executive and stays through the bad board meeting.

Digest · the substance, structured for research

1. Nvidia’s $100 billion lets OpenAI run the scaling experiment to its limit

  • Rory rejected Harry’s “infinite money printing machine” framing because every aggressive financing structure eventually meets the underlying business. If OpenAI’s projections reach $100 billion-plus of revenue, everyone books gains and looks brilliant; if not, “it all comes back and bites you in the ass.”

  • The immediate consequence is more important than the circularity: nobody is likely to call timeout for another year or two. Capital and chip access have been supplied, participants can mentally mark up their positions, and OpenAI gets to discover whether continued scaling produces adequate economic returns.

  • Harry’s pushback was that GPT-5 emphasized efficiency and delivered less improvement than expected, suggesting scaling laws had already weakened. Jason answered with Altman’s own words: this commitment is “just a start,” OpenAI needs “three orders of magnitude more compute,” and believes the first $100 billion might help cure cancer and educate every student.

  • Rory’s hedge remained intact: he was not saying Altman is right, and he doubts the marginal $300 billion necessarily earns a return. His narrower call was that six years of OpenAI being “astonishingly right” made continued backing humanly inevitable: doubling down continues until one incremental double-down fails.

2. OpenAI gains momentum, but Anthropic is not obviously capital-constrained

  • Asked whether Dario Amodei should feel structurally disadvantaged, Rory separated capital from utility. Anthropic reportedly had investors “beating people off with a stick” in its recent round; if it wanted another $10 billion, he believed that money would arrive the next morning.

  • The possible disadvantage is preferential GPU access and the ability to contemplate custom chips or hundreds of gigawatts of compute. Jason saw OpenAI’s scale as qualitatively different, while Rory questioned what concrete constraint—beyond “momentum and bigness”—the Nvidia commitment actually removes.

  • Jason argued that OpenAI is also carefully managing monopoly optics. ChatGPT approaches Chrome-like consumer dominance—“the Standard Oil of tech”—yet Altman avoids denigrating competitors because OpenAI benefits from a viable number two and has already endured conflict with Microsoft and its own governance crisis.

  • Rory’s counterweight was consumer economics: ChatGPT is a remarkably poor extortionist monopoly because it currently subsidizes enormous consumer surplus. Nvidia looks closer to a conventional monopoly, making one undisclosed detail especially consequential: how OpenAI’s effort to build competing chips is treated when Nvidia is simultaneously becoming an equity holder.

3. Six buyers support a $4.5 trillion supplier and a $600 billion CapEx boom

  • Nvidia’s concentration is startling: Rory cited roughly six customers producing 83% of quarterly revenue for a company worth around $4 trillion–$4.5 trillion. Apple has approximately two billion customers and Microsoft hundreds of thousands of meaningful enterprises; Nvidia’s valuation is “single-threaded” to the decisions of six or seven people.

  • The offset is that none of those buyers appears ready to blink. OpenAI is escalating, Google has repeatedly signaled it will keep spending, Meta is willing to “tear up the book,” and Oracle is committed—leaving all six determined to “spend themselves into oblivion to win the prize.”

  • Harry extended the concentration downstream: two customers represented 55% of one data-labeling provider’s revenue and recur across competing vendors. These buyers are promiscuous because only a handful need labeling at scale, and speed matters more to them than squeezing suppliers on price.

  • Harry’s essential distinction was between the AI revolution and the AI CapEx boom. Applications are genuinely gaining adoption, but the extraordinary trade is roughly $600 billion of annual CapEx racing ahead of a market producing perhaps $30 billion–$40 billion of revenue; Mercor, Surge and anything attached to that spending have been “stuffing” dollars into their buckets.

4. This rhymes with 1999, except the ecosystem can finance itself for longer

  • Jason found the present closer to 1999 than anything in the past 20 years: unlimited possibility, vendor financing and the memory of Nortel and Lucent funding bandwidth customers to sell equipment. Nvidia’s use of equity rather than debt changes the instrument, not the resemblance—and 2000 showed how abruptly limitless belief can collapse.

  • Jason’s key difference was survival capacity. Amazon nearly ran out of money after its IPO, whereas today’s leaders guarantee one another’s commitments; his exaggerated but memorable formulation was that Nvidia has agreed to buy “300 years” of CoreWeave capacity, making an immediate cash exhaustion far less likely.

  • Nvidia’s free cash flow illustrates the new scale: Jason cited $3.8 billion in fiscal 2023, $27 billion in 2024, $60 billion in 2025 and perhaps $100 billion or something in the following fiscal year. That internally generated capital can perpetuate the cycle even if historical analogies fail.

  • Rory nevertheless questioned Nvidia’s $9 billion quarterly repurchase and $60 billion authorization, equal to its prior-year free cash flow. Jason suggested buybacks may offset RSU dilution; Rory called mechanically linking repurchases to dilution “as dumb as rocks”—buy when shares are cheap, preserve cash when they are dear.

5. Expensive markets punish long-term returns before they punish momentum

  • Harry’s 28-stock book had 27 positions green, prompting the honest conclusion that he was not suddenly that good. Jason’s answer was darker comedy: he was 0% cash, just as in 2008 when a collapsing market forced him to sell stock down 60%–70% merely to repair his roof.

  • Rory distinguished horizons. Valuation has little power to predict one-year returns, particularly while the Fed is cutting and momentum persists, but it correlates meaningfully with 10-year outcomes; buying at today’s levels implies a substantially lower-than-average long-term public-market return.

  • His practical response is asset allocation, not top-calling: holding cash imposes underperformance during a bull market, but that is “the cost of sleeping at night.” Investors should choose a medium-term mix consistent with their risk tolerance rather than optimize for the final stretch of a rally.

  • Jason’s froth indicator was LPs publicly bragging about returns on LinkedIn—behavior he associated with 2021. He joked that all their 401(k)s were in Nvidia, while corporate history suggests companies will again buy back aggressively near peaks and wish they had liquidity when income-statement optimism gives way to balance-sheet scrutiny.

6. Venture concentration is a second market, not the disappearance of the first

  • Seventy-five percent of 2025 venture dollars reportedly went to 19 companies, but Rory reframed the statistic. The remaining 25% resembles the long-standing seed-to-Series-B market, fluctuating perhaps 10%–20%; layered above it is an additional roughly $50 billion-a-year private-public business operating one or two valuation orders higher.

  • Concentration naturally rises by stage because companies fall away at each round. If businesses remain private longer, the endpoint may be “two foundation models and Databricks and Stripe raising a Series N or G”—still reported as VC, though economically distinct from conventional early-stage investing.

  • Jason said the true S-tier remains easy to identify. The murky zone is immediately below it, where one investor preempts at an outlier price while another sees churn, margins or weak differentiation; predicting the next financing has become much harder even when portfolio companies are growing well.

  • The panel rejected the categorical death of triple, triple, double, double. At roughly $10 million–$20 million of revenue it now requires far more work and meetings, and an unloved category can hurt; at $50 million–$100 million growing triple digits, investors will still show up because so few companies reach that combination of scale and velocity.

7. Fund economics make ordinary-looking 7X outcomes matter

  • Harry used ICONIQ’s exits—Netskope around $8.5 billion and Atlassian’s roughly $1 billion purchase of DX—to ask whether such wins still “count” beside Anthropic. Rory’s answer was categorical: if a 10% Netskope stake becomes roughly $700 million of liquid public equity, “it goes in your bank account,” which remains the mission.

  • OpenAI makes the distinction between corporate importance and investment multiple vivid. Rory estimated the earliest 2019 investors might be up roughly 7X–8X after follow-on rounds; first-round money could be 25X–30X while later capital earns about 3X, blending to 7X on $100 million–$150 million invested.

  • Harry objected that OpenAI has 10% of the world’s adults as weekly active users, yet Rory held the line: stature does not change fungible money. A Series A investor in Netskope could also earn 7X–8X, while a $5 billion-plus IPO can still produce an excellent 10X if ownership and entry price are right.

  • Fund size changes which returns are sufficient. A $10 billion vehicle must concentrate huge sums in perhaps five to seven deals; smaller funds have more ways to compound meaningful equity. Harry’s concern was social rather than mathematical: respectable exits increasingly become “an asterisk at the bottom of the DPI table.”

8. Selling OpenAI is a valuation decision overlaid with human utility

  • At the quoted $500 million valuation, Rory said an investor must at least consider selling. The first step is to form a fundamental view of fair value and upside—“it’s gonna double ’cause it’s always doubled” is not analysis—then overlay personal wealth, fund construction, taxes and liquidity needs.

  • Jason explained why almost nobody will volunteer to exit: ICONIQ reportedly received unprecedented calls from its own LPs seeking Anthropic allocation, and a move from $500 billion to $1 trillion requires no new sourcing or board work. Taking $50 million today when waiting six months might produce $100 million feels emotionally impossible.

  • Harry’s counterexample was himself: without $50 million already, a first large realization changes life and should be treated differently. Rory agreed that marginal utility matters; a liquid first $5 million should usually be secured rather than exposed to a concentrated continuation bet with merely equal expected value.

  • Drawing from The Missing Billionaires, Rory said investors commonly have risk aversion around two, while figures such as Elon Musk—and, in another context, SBF—behave closer to pure expected-value maximizers. The Vanderbilt descendants illustrate the failure mode: stock selection matters less than bet sizing, diversification and preserving accumulated wealth.

9. Early wins create both deal flow and the courage to keep rolling

  • Asked whether wealthy venture firms take more upside risk, Rory said “at the margin it’s almost certainly true.” An emerging manager may need half a fund of DPI; Sequoia can believe another opportunity arrives tomorrow and refuse a merely adequate offer without threatening the institution.

  • The mechanism extends beyond referrals. Venture success correlates weakly with many visible traits, but strongly with an early win: successful investors see better opportunities and “just have the stomach to roll the dice, and you get braver.” That can become overconfidence, yet risk-taking remains necessary for outlier returns.

  • Oren Zeev’s concentrated Navan position supplied the live example. Harry described approximately 20% exposure across multiple funds; Jason cautioned that SPVs and opportunity vehicles might make the core-fund concentration lower than it appears, while Rory acknowledged he personally would find a true 20% single-company bet difficult.

  • Brian Singerman’s maxim that concentration limits are “the enemy of great venture returns” met Rory’s quantification: ask how certain one company is to outperform the rest of the portfolio, not whether the investor feels brave. More concentration can increase outperformance, but only by accepting significantly more risk.

10. Navan is racing public before adjacent companies define the category

  • Navan filed with $613 million of revenue, 32% year-over-year growth, 10,000 customers and 110% NDR. Rory first celebrated the survival story: a concentrated investor watched a travel company’s revenue probably go to zero in March 2020 and now has a credible IPO within reach.

  • Jason’s strategic read was that Navan is going before Brex and Ramp. Brex had announced roughly $700 million of revenue growing 50%, while Ramp appeared larger and at least comparably fast; if public investors treat all three as peers, the perceived number three benefits from establishing itself before the leaders list.

  • Rory’s pushback was product-level: Navan predominantly earns from travel booking, Brex and Ramp from cards and payments, and Bill from accounts payable. Yet Navan’s S-1 and rebrand from TripActions claim a broader horizontal suite, so management cannot reject those comparisons while simultaneously seeking their valuation halo.

  • Profitability argues for waiting, but timing argues against it. Navan held OpEx flat or slightly down despite 4% inflation while growing near 30%, suggesting a determined push that might still require one or two years; this market offers liquidity now, and “you definitely don’t wanna be last” after two better-known adjacent companies are tradable.

11. IPO liquidity arrives through a long sequence, not on listing day

  • Rory corrected headline wealth calculations: an SEC filing may attribute the GP’s, partners’ and LPs’ shares to one named investor, even though that person owns only a fraction of the displayed billions. A conventional IPO usually imposes a six-month lock-up; direct listings can avoid it, and performance triggers sometimes release shares earlier.

  • If shares price at $14, trade to $18 or $19 and the company delivers its first quarter, insiders may complete a registered secondary during the lock-up. If the stock falls to $12, $10 or $9, that route becomes extremely difficult—one reason a 10%–15% IPO pop is not necessarily wasteful.

  • After lock-up, funds can sell or distribute shares to LPs, but board reporting obligations and quiet periods make disposal slow. Rory’s typical timeline was 12–18 months to leave the board and roughly 18–24 months to exit a substantial position, rather than immediate liquidity at the opening print.

  • Jason noted that holding while possessing inside information is lawful; Rory added that negative information can be sold, so the rule is not one-way. Rory recalled remaining silent during M&A talks that eventually produced a 30%–40% premium; the trade-off is restricted windows versus privileged strategic visibility. Nvidia’s early venture directors stayed from the 1997 IPO, and Mark Stevens reportedly may never have sold.

12. Skilled-immigration damage may be modest immediately but negative structurally

  • The discussion cited a new $100,000 payment for H-1B visas, 440,000 applications, roughly 70,000–75,000 acceptances and an estimated $19 billion–$120 billion GDP contribution. Rory’s firm conclusion was directionally negative: skilled immigration has been extremely good for US technology, though the word “material” is harder to establish.

  • Jason made it personal: two of his first startup’s initial 10 employees were H-1B transfers, essential to its material-science work, first exit and, he said, saving hundreds of lives. “Every single talented person” strengthening the US and its companies is desirable to him ethically, personally and economically.

  • His tactical forecast was modest disruption if the policy does not expand. Large technology companies will pay, founders increasingly navigate O-1 visas despite their stress and drawbacks, and startups “find ways”; that practical adaptation does not make the policy good.

  • Rory saw $100,000 as a crude proxy for a skills-based system and suggested STEM credentials or a points framework would target national benefit more rationally. Public anger focuses on alleged abuse—such as firms employing H-1B workers while laying off Americans—while obscuring the founders and technical specialists the ecosystem could not otherwise recruit.

13. Scaled SaaS can recover, but 2021 prices no longer anchor value

  • Notion reaching $500 million ARR while accelerating impressed the panel. Harry highlighted that “double, double, double, double at hundreds of millions” is exceptional. Rory agreed that a mature SaaS company need not reinvent itself: it can lean into AI, preserve its core product and regain 30%–40% growth within striking distance of an IPO.

  • With roughly 1,200 employees and assumed 30%–40% growth, Rory estimated perhaps seven to nine times next-twelve-month revenue—around $4 billion–$5 billion, potentially higher if forward numbers surprise. Jason’s stock came from acquisitions around a $10 billion mark; Rory’s dry answer was, “That’s your problem, not theirs.”

  • High-priced preferred shares should not hold the rest of a company hostage while it waits to regain $20 billion privately. The preference can convert or remain outstanding until the public value grows into it; a real $5 billion–$8 billion outcome still matters even when it disappoints a 2021 buyer.

  • Airtable and similar productivity companies will now trade on fundamentals: Rory suggested five to six times revenue for $200 million growing 20%, or seven to eight times for $300 million–$400 million growing 30%–40%. Microsoft’s grind and the shift toward AI ended the unbounded narrative; “God forbid,” free cash flow matters again.

14. The market has reset old marks while recreating old diligence failures

  • Jason’s deadline was January 1, 2026: after four years, investors should stop complaining about 2021 decacorns, mark them down and “flush them down the toilet.” Klarna’s former $45 billion peak was history; capital and attention should move to present fundamentals.

  • Rory’s sting was that investors appear determined to make “exactly the same mistakes in 2025.” He is seeing less diligence than in 2021, while Jason described hot AI deals decided on Saturday with neither supplied materials nor substantive review: “Why would you do diligence? All you can lose is one extra money.”

  • Jason had watched a tier-one firm issue a term sheet to a sizable company, use the 30-day closing period for deeper work, then withdraw. He called this a worsening competitive tactic: secure exclusivity first, investigate later, and leave the founder carrying the broken deal.

  • Rory now has more sympathy for investors asked to decide in one hour while founders share no data and present paid pilots as contracts. If immediate review reveals “10 things that aren’t true,” investors must retain the right to rescind; Harry’s cleaner policy is simply declining processes whose timetable prevents conviction.

15. Founder-friendly is theater until the company enters distress

  • Jason’s verdict was that “founder-friendly has become bullshit,” even while remaining table stakes for winning allocations. Praise, performative enthusiasm and routing a candidate request to a talent team prove nothing in a competitive bull market.

  • His operational definition is harder: write the check when nobody else will, remain at the board meeting after others disappear, help produce the eventual win and personally recruit the needed executive. Those actions—not “great job” regardless of performance—earn the label.

  • Rory preferred “founder honest”: tell the CEO exactly what you believe, because false reassurance is less useful than uncomfortable truth. Whether an investor is genuinely supportive can only be learned in a difficult deal, just as the quality of another VC becomes visible only after sharing adversity.

  • Harry supplied the specimen Jason would not: RevenueCat’s founders remembered him wiring personal money during the SVB weekend. Rory recalled partners holding a Sunday call to divide responsibility for companies until the US government intervened—“you only know what people are like in a tough deal.”

16. The quick-fire favored pragmatism over claims of technological leadership

  • On TikTok, Rory jokingly chose “never” because dangling a deal creates endless political leverage, while conceding it would probably happen eventually. Jason predicted the next 60 days, viewing it alongside tariff negotiations with China and India and hoping the harsher H-1B effects would similarly dissipate.

  • Jason assigned Meta’s smart glasses a “0% chance” of success despite owning roughly eight earlier pairs. His product thesis was simple: consumers do not need “a seventh screen” or to “play Tron in our eyes”; device paradigms are difficult to change, and many venture-backed wearables ultimately remain on shelves.

  • Atlassian’s acquisitions should help existing customers enter an AI-enabled engineering-management world, Rory said, but will not make it the dominant coding-agent company. Defending roughly $4 billion of revenue, a $40 billion market cap and 20% growth would be enough; Jason called DX and the broader buying spree “baby steps,” not a transformation.

Speaker 0

Well, I'm excited because, just like 2008, at the moment I'm 0% cash. Founder-friendly has become bullshit. Any hot AI deal—there is no diligence provided, nor is any done, right? It's just done on Saturday. Why would you do diligence? All you can lose is one extra money. Why would you do diligence?

Speaker 1

Having an early success is highly correlated with future success. Partly, you get the referral effect, but partly I think it's that you just have the stomach to roll the dice, and you get braver.

Harry Stebbings

This is 20VC with me, Harry Stebbings, and it's my favorite show of the week. Jason Lemkin, Rory O'Driscoll, and the biggest news items of the week. We have OpenAI getting $100 billion investment from Nvidia. Is triple, triple, double, double dead? Have growth expectations changed forever? Then we touch on a lot of other topics, including Notion hitting 500 million in ARR, and many, many more. This is a fantastic show. Let me know what you think. Harry@20vc.com. I really wanna hear your feedback, so let me know what we can do to make it better.

Harry Stebbings

Guys, I am so excited for this. We have a lot to get through. I even have graphs this week. I mean, this is intense. You see this?

Speaker 0

Yeah.

Harry Stebbings

I don't know what they are, but, you know.

Speaker 0

That's how many GPUs you're buying from NVIDIA? Is that what 20VC's commitment is?

It's up and to the right. That's all I see from this graph.

Speaker 0

Up and to the right.

1. OpenAI's Infinite Capital Bet

Where do we start? NVIDIA invests $100 billion in OpenAI. I wanted to start on this. Is this an infinite money-printing machine, where we have NVIDIA invest in OpenAI, which commits $300 billion to Oracle, which then buys more NVIDIA chips? Is this just the way to print money these days?

Speaker 1

First of all, it's not an infinite money machine, because it will end. What it means is that Sam's going to get to make the bet he wants to make, which is to apply an infinite amount of capital and see how long these scaling laws last. No one's going to call time out until you actually hit a wall.

What this says is NVIDIA is going to get rewarded for it. Everyone's going to book gains, and if it all works, it'll all be good. It's like any aggressive financing strategy: if the underlying business works, everyone looks smart. The debt gets paid back, the equity goes up in value, and everyone's a hero. If it doesn't work, it all comes back and bites you in the ass.

What this means is that if it turns out those OpenAI projections—$100 billion-plus of revenue, or whatever the numbers are—are real, then we're going to find out, because no one's going to call time out along the way, at least for another year or two based on this. The capital has been made available, and everyone involved is getting kind of mentally marked up. That's my takeaway. They're going to get to find out here.

I have to interject. You said that Sam gets to see if scaling laws continue. I thought we all agreed that they didn't continue, and that's why GPT-5 was focused on efficiency, and that's why we actually didn't see improvements in the way that we thought we would. I thought we were already reaching that.

Speaker 0

I think you have to listen. The one thing I've learned over the course of this show is to really listen to what Sam Altman says. Elon Musk will say something, and it happens. He's just a couple of years off, right? But it always happens—the self-driving cars and the rockets, right?

Sam says something, and it happens soon, and he says it off the cuff. He's sitting there with Jensen and Brockman this week saying, “This is just a start. We need 3 orders of magnitude more compute than this.” Not 10 times as much—3 orders of magnitude more, he says.

Then he writes today, calmly, “Just with this first slug, the $100 billion, hopefully we'll cure cancer and educate all students,” right? There's a lot going on there. He didn't just say $100 billion. Then he said Stargate, and we didn't understand it.

We can talk about the round-trip revenue. Is it really round-trip revenue? There are some interesting questions, right? But he and the president said this was only the start: they need 3 orders of magnitude more than this to achieve what they're predicting today. Those are their goals. This is not phony baloney. This is what they have on a whiteboard in a spreadsheet.

Speaker 1

To be clear, I didn't say it was correct, Harry. I simply said we'll get to find out. I'm not sure I believe that the marginal $300 billion will earn a return on capital at all.

My point is simply that there are some aggressive business projects where you think, “I wonder, can we invest in that?” You're just not able to make those investments, so you don't get to find out. Then there are deals where the market says, “Here, you can have the capital. Have a go.” This is one of those deals. We will find out.

I mean, as the cliché goes, that's why they play the game. I'm somewhat more skeptical, because I think the level of heroic assumptions you have to start making to make these investments all work is high. But the truth is, we're human beings, and when someone has been as astonishingly right as OpenAI has been over the last 6 years, it's just human nature to say, “I'm going to continue backing this bet as long as it works.”

The consequence of that is that it goes on until it stops. In other words, you have someone who's clearly going to keep doubling down, so the doubling down is going to keep taking place until the return on the double-down isn't there. Is that now? Has that already happened? Is that going to happen 3 years from now? I don't know. I can speculate why I think no, but the market has said, “Have a go. Here's $100 billion.”

If you are Dario today, are you thinking, “Wow, we are in a significantly disadvantaged position as a result of this”? Does this $100 billion move the needle significantly more in favor of OpenAI?

Speaker 1

The question is, what is it giving you? It's giving you capital and access to chips. So do you feel constrained by those? You probably aren't constrained by a lack of capital.

My understanding is they were beating people off with a stick on the recent Anthropic round, and if they decided they wanted another $10 billion, it would be there tomorrow morning.

So they're not capital constrained. Maybe you'd say it gives you some preferential access to the GPUs that OpenAI now has. In the “Oh my God, their capital is bigger than my capital” wars, I think you'll feel the need to respond and do something. But it would be interesting to actually pencil out what exactly—other than momentum and bigness—what problem you're trying to solve.

Speaker 0

Well, Anthropic isn't going to be able to build its own GPU like ChatGPT is. It's not going to be able to lease or create hundreds of gigawatts of compute without that capital. It's not going to be able to build its own GPU. When I thought through all this news, another thing that didn't really come up in any analysis I saw was that Sam is very clever at toeing the line on being a monopolist. OpenAI does not want to be a monopolist, nor does NVIDIA. They both want to be very careful in how they position themselves.

I think NVIDIA has an existential risk, which is everyone is trying to take its share, right? Google has its own TPUs. Amazon's trying. OpenAI is building its own to take away market share. But they both need to be careful. OpenAI, I don't think they want 99.9% market share. They've already been through enough drama and trauma with Microsoft, throwing Sam Altman out of the company and bringing him back. They need their number 2, possibly, or they're at risk, right? Because they might be a monopolist in some ways today—

Who?

Speaker 0

At a consumer level—OpenAI.

Speaker 2

Oh, I see. Yeah.

Speaker 0

I use Claude every day. But you're weird if you use Claude, right? At the consumer level, they border on Google Chrome levels of market share, and Sam's very careful not to denigrate others, other than a few jabs at Elon, because he needs a little bit of this so that he's not ripped apart as a monopolist over time. This is an epic monopoly like we've never seen. Think how much ChatGPT already dominates our lives. It's the Standard Oil of tech.

I feel the need to cynically say that the objection to monopoly is the extortionate excess profits a monopoly extracts from the consumer. On that basis, there has never been a less successful monopoly than ChatGPT, because they're subsidizing. I saw—we'll talk about it later—an estimate of the consumer surplus delivered by ChatGPT in the tens of billions of dollars.

To some extent, Jason, that was glib. I hear what you're saying. It's obviously not a cash-extraction monopoly at the moment. But you're right, they have commanding market share in the consumer market. Though, between Gemini and Perplexity, they would argue it's not a monopoly.

I think NVIDIA, frankly, is far closer to being a monopoly in terms of market share than ChatGPT, which is why I thought you were going there. I do think it's interesting that a whole bunch of people are talking about building processors to try and take away that revenue, and I'm sure they're hyper-aware of that. It would be fun to know what agreement, if any, was made about OpenAI making its own chips as part of this deal. It's hard to imagine giving equity to someone who's literally building a competitive product when they're one of your 6 largest customers. That's a little something it would be interesting to know.

Speaker 0

Yeah.

Speaker 1

On the other hand, that's a detail that probably will not be highlighted, given the dynamics.

Speaker 0

2. NVIDIA's Customer Concentration

Well, NVIDIA's weird too because it has elements of a monopoly, but it has elements of a monopsony too. It only has 2 customers. I mean, it has a long tail of customers, but it has to make sure it doesn't only have 1 customer. It has a risk of only having 1 customer.

Speaker 1

I think you're right. I saw that 6 customers in the last quarterly report accounted for something like 83% of the revenue. That's astonishing. First of all, let's step back. Look at the 2 other $3–4 trillion market cap companies, Apple and Microsoft. Apple has 2 billion customers—everyone on the planet. Microsoft has probably a couple of 500,000-plus meaningful enterprise customers. These guys have 6.

When you say it like that, it makes you realize, frankly—and again, I don't want to be the Debbie Downer—how single-threaded the market cap of the largest company on the planet is on the spending decisions of 6 or 7 people. The good news for NVIDIA, and this is why I go back to the consequences here, is that none of those 6 or 7 people look like they're blinking.

OpenAI ain't blinking. Google's made it clear multiple times. I saw a good quote—is it from B Capital—just reminding us that Google has said over and over again, “I ain't blinking.” Obviously, Facebook—Meta—has indicated an absolute willingness to tear up the book and do anything it takes to win. Oracle ain't blinking.

It's just this really weird dynamic. You've got this company—what, $4.5 trillion—with only 6 customers. That's bad news, but the good news is all 6 of them are determined to spend themselves into oblivion to win the prize. It's a fascinating game.

Speaker 2

What's interesting for me is that the revenue concentration extends beyond these providers in this space to the data labelers as well. We just had Mercor on the show.

Yep.

Speaker 2

Two Macaw customers make up 55% of the revenue, compared with the other 4 main providers. It's exactly the same, and it's the same 2 customers across them all. It's fascinating.

Harry Stebbings

Yeah.

Speaker 2

They are incredibly promiscuous with their data-labeling providers, and they just use all of them. They're the same 2 customers for every one of them.

Harry Stebbings

Yes, because those are the only people who want to buy this shit at scale. I always like to distinguish: there's the AI revolution, but there's the AI CapEx boom. There is an AI boom at the apps level. In other words, yes, adoption's taking place.

The real wow in the last 2 years has been the fact that the markets and these 6 deciders have been willing to let the CapEx boom get so far ahead of the revenue that they've been willing to say, “Let's spend, in aggregate, $600 billion of CapEx per year on a market that today, depending on how you add up all the revenues, is yielding $30–40 billion in revenue.”

It's amazing. Anything co-attached to that CapEx boom has just killed it. You're right about the data labeling. We looked at some of those in '16 and '17, and we were like, “Ugh, is this a really great business?” In theory, no.

If you have a services business and you're only selling to 6 customers, you can make this intellectual MBA case that, “Oh, my God, they'll get ground down on price.” That case is totally wrong, because those 6 customers don't have time to optimize. None of those 6 customers are trying to optimize their cost basis. They're just trying to build as fast as they can.

If you're Merkur, if you're Surge, if you're anyone in that line of business, you're just picking up your dollars and stuffing them in your bucket as fast as you can.

Speaker 2

3. The New Dotcom Parallel

It feels so nuts to me seeing $100 billion go into OpenAI, and that as a headline. When you compare it to any other time that you've been investing, does this match any other time in terms of the “holy cow” shock?

Speaker 0

It's a good question. I think these analogies fall apart because the scale is so many orders of magnitude larger, right? The only thing that's similar is the sense that it's unlimited, that it's unbounded. We actually have more skepticism today than we probably did back then. Rory's skeptical of the limits here.

I totally agree. I'm not skeptical of the long-term trend. Does it feel like '99? It's not a complete analogy. History doesn't repeat; it rhymes. But it's more like '99 than anything else I've seen in the last 20 years, right?

I remember Nortel and Lucent making big vendor-financing commitments to their big bandwidth customers to sell equipment, just as NVIDIA is doing today. Though, interestingly, NVIDIA is doing it as equity, not debt. I do remember that sense.

Jason, you said it: unlimited possibility, endless belief. I remember it also collapsing very quickly in 2000.

Speaker 0

I think Harry's got a good point. This limitless potential—we've only seen it back then, right? It's not like other booms; this has a feeling that it could be limitless.

What's so different in the Web 1.0 days, though, is that there just wasn't enough money. Amazon almost ran out of money after its IPO. Bless their souls, we've got all the leaders running around guaranteeing each other's stuff. CoreWeave can't now go out of business.

In 2000, CoreWeave would have imploded in months because it would have run out of money. Now NVIDIA's agreed to buy 300 years of its capacity. Everyone's guaranteeing everyone, so this unlimited capital—yeah, of course, maybe it ends, but that's nothing like the Web 1.0 days. There was just no money.

I think that's a good point.

Speaker 0

Listen to this for just a second. Here, okay, NVIDIA: fiscal year 2023, $3.8 billion in free cash flow—fiscal 2023.

Speaker 0

Pretty good, right?

Speaker 1

Yep.

Speaker 0

3.8 billion. Fiscal 2024, $27 billion. Fiscal 2025, $60 billion. $100 billion or something in the next fiscal year. That's a lot of cash to reinvest from your balance sheet.

Speaker 1

It's funny you should say that, because I actually looked at the same number this morning. Yes, the free cash flow is $60 billion. So that's obviously, to state the obvious, a lot of money. Again, the bear case: that's a lot of money, and a lot more than it was 2 or 3 years ago.

In that context, I was surprised they have a buyback program. They've been buying back stock—they bought $9 billion of stock back last quarter. It's just interesting at this period in the cycle, and they've authorized a $60 billion buyback program. In other words, there's a buyback program equal to the free cash flow for the last year, which is just interesting and aggressive.

I hadn't looked at cash on the balance sheet in forever. It's $60 billion, which is a lot, but it's only 1.5% or 2% of the market cap. You kind of go and say, if this amazing market doesn't keep going just the way it's going now forever, then you could find yourself thinking, “Hmm, maybe I shouldn't have bought back $9 billion worth of stock at whatever it is, $180 a share.” I'll look back on that and say, “That might have been a mistake.”

Again, I find I'm the doomer here. I'm not a doomer. I think the trends are great, but it's just a very frothy time.

Speaker 0

I wish I'd done the math ahead of time. What I saw when I was at Adobe—and I think NVIDIA's doing the same—is that it's not a brand-new company, NVIDIA, right?

Speaker 1

Yeah.

Speaker 0

Boom aside, they do try to buy back equal to the option dilution, the RSU dilution, right? It was almost one-to-one.

Speaker 1

Yes.

Speaker 0

I was at Adobe, right? This is how you maintain your EPS at Adobe: by buying back everything equal to the dilution you give out in RSUs, which was just, frankly, a cash equivalent until the market boom, right?

Speaker 1

Yeah.

Speaker 0

It's almost one-to-one.

Speaker 1

And, flagging vigorously my opinion on that, as I've done when I've been on boards, I think buying back the same amount as you're diluted is as dumb as rocks, right? You should buy back when your stock is cheap, and you should sit on your cash when the stock is dear, right?

I think the idea of linking it to your equity dilution—again, reminding us, we said we'd level up—lots of public companies obviously issue stock to their employees, and there's this ostensible rule that maybe you buy back in the market around the same number of shares as you've issued in stock to keep the share count constant. You're right, Jason, loads of people do that. I think it's absurd, but what can you do?

Speaker 0

It at least keeps your stock-based expense honest. A lot of folks losing money are pretending it's not an expense. If you're profitable and you buy it back, it's like, look, this is the same as cash. It's just a little bit of financial engineering.

Speaker 1

Sure.

Speaker 0

Yeah, for sure.

Speaker 1

Yeah, but it doesn't appear in the P&L.

Speaker 0

Yeah, for sure.

Speaker 1

And I think the other higher-level question is this. Again, it's back to the zoom-out comment. In a bull market, no one focuses on balance sheets. We only talk about income statements. When things get tough, you're like, “Ooh, wouldn't mind having some extra money around.”

Stock prices that were high can be low, and they might—typically, corporations historically have a terrible record. They typically buy back stock at peaks and don't buy back when it's cheap. I see no reason why humans will change this time.

Harry Stebbings

Ladies and gentlemen, study Larry Ellison, the master of this.

Speaker 1

The master. He bought it all back exactly when it was cheap, and then used the capital to totally change the game to the current game of CapEx and investment, and has made it work.

4. When To Catch The Knife

Rory, that's great. But what about me? I'm looking at my public book, and I've got 28 holdings. Twenty-seven are green, and I'm in the money. I'm humble enough to know I'm not that good, and I'm looking at the S&P going, “Really?” It looks like it's going to hit 7,000. Do you think it's going to hit 7,000 pretty soon, guys? Would you be selling now, and how do you think about when to catch the falling knife?

Speaker 0

Well, I'm excited because, just like 2008, at the moment I'm 0% cash. Nothing.

0% cash?

Speaker 0

Nothing.

Harry Stebbings

Awesome.

Speaker 0

I have no cash whatsoever. I had some cash. Just like 2008, I remember feeling how great it was when the market crashed, and I literally did not have enough cash to fix the roof on my house. I had enough stock, right? But nothing was more fun than selling my stock at a 70% loss—or 60%, whatever the worst of the crash was—to fix that roof. I remember feeling like such an idiot.

Speaker 0

I don't have a cent of cash right now.

Speaker 1

It's by definition hard to know. That's what the data says. So you can throw out 2 factoids, one either way. The correlation between valuation and short-term return is pretty low. In other words, you can say stocks are expensive, and the correlation for predicting 1-year returns is pretty poor. The correlation for predicting 10-year returns is pretty good.

At this current valuation, your likely 10-year return on the public markets is significantly lower than average because it's more expensive going in. That's the long-term message, and that's a pretty grim message. The short-term message is, “Oh my God, the Fed's cutting rates, things are going up.”

What I do with that information, since you ask, is accept that the cost of sleeping at night and having some portion of cash is accepting a level of underperformance. You make an asset-allocation decision based on what you want over the medium term, not what's going to optimize just in a bull market.

Speaker 0

I'll tell you what the frothiest sign is. One, we're all invested in NVIDIA, right? To Harry's point, in the public markets, all our 401(k)s are in NVIDIA. We're all on this ride together.

But the frothiest sign is that LPs are now bragging about their returns on LinkedIn. LPs. When LPs start bragging about their returns, to me—

Harry Stebbings

Who? Who? Who?

Speaker 0

LPs who usually hide behind the Wizard of Oz curtain are bragging about their returns. That's the 2021 moment I've seen, when LPs who usually hide behind the Wizard of Oz curtain are bragging about their returns.

Speaker 2

I have everyone on my Twitter feed saying, “Hemant saying ‘triple, triple, double, double’ is dead is the top.” So there are many signs that people think, “Oh.” I disagree with that.

5. Is Triple Triple Dead

I do want to discuss the fact that 75% of VC dollars in 2025 went to 19 companies. Is this just an extension of the Magnificent 7 and the concentration of capital? Is venture itself changing, where we're all doing a Kleiner Perkins and moving late-stage to get into the surefire winner?

Speaker 1

First of all, it's obviously a stunning fact, but a better way, if I may say, of thinking of it is not, “Has venture capital changed?” It's that the 25% that's remaining is, in fact, the same venture that's always existed.

It's roughly—I think in our space—1,000-something-odd Series As every year. A certain percentage would go to Series Bs, and that business has stayed the same, plus or minus 10% or 20%, for the last 10 or 15 years, with fluctuations.

What's really happened is that, on top of that business, this totally separate business has emerged called, as you say, ultra-late-stage, private-public-style investing. I just think of that extra $50 billion a year, or whatever it is, as added on top. It didn't change my business. It just means there's another business that you can choose to be in or not that exists one layer up, maybe 1 or 2 orders of magnitude above you in the valuation world.

It's still private, it's still “reported as VC,” but it's just a different business. It makes sense that it's way more concentrated. Series A is more concentrated than seed, Series B is more concentrated than Series A, and Series C is more concentrated than Series B, because at every step some people fall out of the game.

The longer you hold private, the more concentrated it gets. In the limit, maybe we're just left with 2 foundation models, Databricks, and Stripe raising a Series N or G, X or whatever it is, right? It all makes “sense.” It's just a different business than, say, ABC Venture Capital[?]. It just gets reported in the same bucket.

Speaker 2

You guys have taught me so much, but one thing that Jason's always taught me is to try not to predict several rounds out, and just predict the next round. Can you see a 3X there?

Speaker 1

Yes.

Harry Stebbings

We do it as a team. The hardest thing I find is, honestly, we are getting it wrong. A lot of our businesses are growing nicely, and I cannot predict what the next round wants because it seems to be moving so much. I'm having a real problem predicting financing markets. Jason, can you predict which of your companies will be hot?

Speaker 0

I think it's always been easy, when something is super hot, to know it's super hot, right? Maybe Hemant's right. Maybe the top 1% has changed, or the top 0.1%. Maybe we can be analytical about that, and you can fall out of it, as we all know, right?

But when you're in it, you know. There's no doubt, right?

Speaker 1

Yeah.

Speaker 0

What's weird today is that level just below it, where it's unpredictable. Someone may see this as an outlier and preempt at a very high price, and others may see the risk beneath the surface, be concerned about margins, be concerned about churn. It's very easy to criticize a lot of these companies on churn and margins, right?

Speaker 1

Yeah.

Speaker 0

And so if you're just below that—whatever that S tier is—that's where I find my ability to predict very, very murky. Then the one I disagree with you on, but I agree with you from Twitter, is I think the ones one layer above that, if they are triple, triple, double, double, and you meet with enough people, and you're not burning a lot, I do think you get funded. That's where I, quote, "disagree with you," but it's a lot more frigging work.

It's a lot more work to get funded growing 100% at $20 million or 110% at $10 million than it was 24 months ago. It's just a lot more work, because you can't get the meeting.

Speaker 2

I would just add one nuance. If you are in a slightly weird space that is traditionally unloved, like restaurants—no one likes selling to restaurants—then where they would've taken a bet on you before with triple, triple, double, double, now they're not. Now triple, triple, double, double is meh growth, and you're in that meh space. They won't.

Speaker 0

Or maybe. I think it's unpredictable. I would say the opposite, looking at Owner, which we know has dominated—

Speaker 2

But, dude, it's way more than triple, triple, double, double.

It's faster, but then what my learning is, these models—if you're growing at outlier rates, you're an outlier. I don't really care if it's tagging. I mean, we all want it to be AI-native, right? But if you are hitting those numbers, people don't even dig beneath the surface, do they? They don't even care if there's a lot of forward-deployed agents or this or that.

But listen, if you're the 11th undifferentiated restaurant SaaS struggling to build the point of sale at $1 million in revenue, people don't want to take that meeting, do they? At $50 million, $100 million, growing triple digits, they'll take the meeting. There's only so many of those. There's only so many folks growing beyond triple, triple, double, double at $50 million to $100 million. They'll take the meeting.

Speaker 1

I agree. I think that whole meme is a little overdone. Triple, triple, double, double, it's not good enough. Of course, there are examples of companies doing better than that—a small number, but a meaningful number of companies doing better than that. But that's not the only game in town, and I think that if you really have clarity on that kind of traction, especially at any kind of reasonable scale, I totally think you're getting funded.

I think you raise a separate question: what's really going on is story belief. People don't believe that the growth will happen in the future. Look, you just had a couple of IPOs where companies are growing 30%. Obviously, that's at scale. So as long as you're on that kind of trajectory, I don't believe it's as sharp a line as some of the Twitter threads—the Harry Twitter thread where Hemant makes it, right?

Yes, there's a small number of companies growing significantly better, especially early on in the foundation models, but I don't think it's the only game in town.

6. What Makes A Great Exit

Speaker 0

For sure. Look, it's sensational, right? We could break it down. There's a version of it I saw this week that was less dramatic, which was ICONIQ, right? And Iconic had two billion dollar exits this week. Iconic growth, okay? It had Netskope—

Speaker 1

Yeah.

Harry Stebbings

—which no one talked about, an $8.5 billion exit. And they congratulated themselves on DX, which Atlassian bought for $1 billion—

Speaker 1

Yeah.

Harry Stebbings

—which I don't know how much they put in because they describe themselves as essentially bootstrapped, right? So Iconic couldn't have owned a third of the company, right? But aren't even those rounding errors compared to Anthropic, right? It's just they equally congratulated, but with the fund sizes and expectations, do those meet the bar? Do DX and Netskope meet the bar in 2025? It's a different version of Harry's question, isn't it?

Speaker 1

Well, as an absolute number, it's a great return. Let's start with that. If you have a $10 billion fund, you don't care, but for most funds, those are excellent exits. Netskope is a superlative company. It did a great job and built a big business.

Superlative.

Speaker 1

Yeah, they are. Well, they are.

Harry Stebbings

But do they count in 2025?

Speaker 1

Yes, of course they count because they go in your bank account. That's the mission, right? If you own 10% of Netskope, you have a $700 million equity position in a freely traded public stock. Maybe you paid $100 million for it; you have a 7X. It's great. It's a great outcome.

It is. I just—I don't think of this every day, but I do think about me and Emergence back in the day, and Emergence was an incredible fund, right? So many winners in cloud, Veeam and all those.

Speaker 1

Yeah.

Harry Stebbings

I was an asterisk at the bottom of that outcome. I was an asterisk. The returns were so gigantic. I mean, that was a 10X-plus fund.

Speaker 1

Yeah.

Harry Stebbings

I was just a rounding error in other exits, right? I think about who gets to be in the asterisk at the bottom of the DPI table in 2026. Because I was in the asterisk back then, and it's cool, but it didn't feel great to find out I was in the asterisk.

Speaker 1

Interesting, but I understand what you're saying. But let's talk about multiple, and then let's talk about absolute amounts. As the OpenAI cap table, quote-unquote, crystallizes, I think some of the early investors in 2019—and I'm doing this from memory, based on their ownership versus the original capital in—it's around a 7 or 8X, right?

So it's a magnificent company. It's the most important company of the last decade, but the actual multiples earned are really good. So someone who did the Series A at Netskope also made a 7 or 8X. Maybe the absolute sums might be different. You could put more money to work.

But it's just worth pointing out: as an investor, if you made those 2 bets, one of them being OpenAI from 2019 to today, and one of them being Netskope from 2017 to today, your IRRs might be different, but in both cases you made a 7X. All 7Xs are exactly the same, because money is fungible. That's why we invented it.

There are very few ways to make a good return on a large amount of money, which is why the bigger the fund size, the more you have to be in only 5 or 7 deals. But there are quite a lot of ways to make meaningful equity returns on good outcomes. $5 billion-plus IPOs can result in a perfectly great 10X. And everyone's going to cash the check. So I'm here in defense of none of those being boring. There's more ways—

Speaker 2

I find that scary listening to you, Rory. Sorry. A $5 billion IPO does a 10X?

Speaker 1

Well, again, by the way, it's not a 10X on the Series A. I'm actually just doing it because I calculated—I'm not going to name the investor. I can't name one of the investors because a lot of them, very wisely in my opinion, have piled into the follow-on rounds.

So probably, your return on your first money is a 25X. Your return on the last round is a 3X. Blend it across everything, you have a 7X, but it's a 7X on 100, 150. If you want to talk about the return on the Series A, my guess is it's 25, 30X at least. It's a great return.

Speaker 2

But it is also a company where 10% of the world's adult population is a weekly active user.

Speaker 1

And we're now going back to OpenAI, the other 7X. Yes.

Speaker 2

10% of the world's population is a weekly active user.

Speaker 1

Yes. So we're now switching from, as it were, the 7X in the mid-sized, tech-centric IPO to the 7X that you get investing in OpenAI. Yes, your return might be only the same, but obviously it's a company of far more stature and significance.

Speaker 2

If you had a large position in OpenAI in the fund now, would you be selling?

Speaker 1

I think you'd have to think about it, wouldn't you? If you're not thinking about it at 500 million, you're probably just not thinking.

Speaker 2

I completely agree with you.

Speaker 0

I don't think anyone's going to sell. Iconic was saying they never got more calls than they got trying to get into the Anthropic round, this last round. They never got more calls in the history of Iconic than from their own LPs wanting to get in, right?

So I'm not saying you shouldn't sell. I'm just saying, boy, it's hard to be sitting at the fund and sell when you've never felt more strongly there's another card to play, right? The easiest thing in venture in the world is if OpenAI goes from $500 billion to $1 trillion, and you don't have to take a single meeting. You don't have to show up to anything. All you have to do is open an email, and your position doubles.

It's so hard to say no. What, 80% of IPOs trade down, right? So that's a tough bar as it is, right? But when you've got one like that in a frothy market, how do you sell? On paper you can, but—good God. I mean, the 3 of us are each going to make $50 million now, but if we just wait 6 months, we can make $100 million? And I have to pay taxes? I mean, I can't even...

Again, there’s really only so much I can get on the Yellowstone Club for $50 million. After taxes, I’m sort of mid-hill, and I’m probably under 3,000 square feet, and I don’t even know about the radiant heating. So let’s play another card.

Speaker 2

I think the level of money you have going in dictates your willingness to sell. We’re very candid, and we’re friends now, which is great. I don’t have $50 million.

Speaker 1

Yes. Me, I do.

Speaker 2

And so I would absolutely take it off the table because it’s really meaningful when it’s your first big hit.

Speaker 1

Agreed. It absolutely is.

Speaker 0

But there are also weird dynamics. Rory could educate us the most. This is what I think about: turns of the fund. If you have a smaller fund and you have a fund returner, it’s a weird dynamic. All the internet advice says a fund returner is what you want to do, right? But turning a fund returner into a 2X fund returner is a BFD. It’s such a big deal for carry and performance, right? That’s a nice but stressful position to have: a 1X fund returner with liquidity options. What do you do?

Speaker 1

I like the layout. It’s a 2-step thinking process. First of all, you have to come to some kind of opinion on fair value and upside for the stock. You have to have some grasp of the fundamentals and say, “What do you think this is going to be worth?” You know, $500 billion makes it the 15th-largest market-cap company on the planet. It can go from here, right? Whatever.

But then I think the interesting thing you’re saying is that you have to overlay on that the institutional or personal imperatives that come on top of just the raw expected return. Plugging a book, I recently reread a book called The Missing Billionaires, which was written in part by Victor Haghani, who was the youngest partner at Long-Term Capital Management when they went spectacularly burst in '97. He’s gone on to a career in wealth management. It’s a truly excellent book, one of the best books I’ve read on portfolio management.

The comment at the start is that Cornelius Vanderbilt died the richest man in the world, and if all his heirs had done was stick it in the S&P and live on the dividends, there would be 15 or 20 of them each worth $1 billion today, and there are none. He says people screw up bet sizing and portfolio management. It’s not about stock selection as much as it’s about the things you just mentioned: the institutional decisions.

How much of your wealth should you have in 1 stock? What should you do with a 1X fund that’s liquid, where you might see potential to a 2X? How certain do you have to be that it could double again before you should leave all your net worth in that stock? It actually ended up convincing me of what Harry effectively mentioned: the marginal-utility analysis.

You do have to take into account your risk aversion, and we’re not all just trying to maximize expected return. You should have some level of risk aversion, and the question is how much. As Harry said, your risk aversion relative to the bet size changes with your net worth. If you don’t have $5 million and you have a liquid $5 million, you probably should take that $5 million, and then consider how that changes over time.

It’s a super well-written book, quite quant at times, but you end up with a meta-conclusion. Most of us have a risk aversion of about 2, as he quantifies it. In other words, you’re not going to let the bet ride for equal expected return, and that’s most normal human behavior. The second conclusion I have is that some people—I’d lump Elon in that group—are just totally maximizing expected return. There’s literally no risk aversion in the system. They just want to make the bet. SBF had the same thing. He would do a 51/49 bet.

Some people just have super-high risk tolerance, arguably to the point of insanity, and those are the people that make great entrepreneurs. Most money people will take some money off the table.

Speaker 2

Do you think investors are like founders, then, where we say, “Take secondaries. Take all that stress off the table”? Do you think richer investors make for more high-upside investors because they’re like, “Let it ride”? Sequoia isn’t here to make half a fund return, whereas an emerging manager says, “Oh, shit, I need half a fund return in DPI. I need DPI.”

Speaker 1

I think at the margin it’s almost certainly true. I wouldn’t want the emerging fund manager to behave irrationally or just over-optimize on that, but there’s no doubt that a significant part of the advantage that a firm like Sequoia has is just the innate belief that something else will turn up tomorrow. I don’t have to fiddle around with this at the margin.

There are a bunch of stories about that, I believe. Again, this is apocryphal. I wasn’t in the room. I believe the early offers on YouTube were significantly lower, and the Sequoia guys were like, “No, we’re not just taking that.” The offer went up. In retrospect, given they sold for $1 billion and it’s probably now worth $100 billion, you wonder.

But yes, there’s no doubt that success begets success, not just for all the referral effects that we could talk about, like you get to see good deals because you’ve been successful, but there’s also this very intangible wealth-effect thing, Harry, that you mentioned. People who’ve been successful are more willing to take risk, and the only way you get success is by taking risk.

It’s hard to correlate venture success with a whole bunch of things: education, stage, and so on. But it turns out that having an early success is highly correlated with future success. Partly, you get the referral effect, but partly I think it’s that you just have the stomach to roll the dice and you get braver.

You can overextrapolate that and screw up, but there is no doubt that it’s a lot harder early on to have the big cojones to roll the dice. If you’re Sequoia, it’s probably a lot easier.

Speaker 2

7. Navan's IPO Strategy

We talk about risk-return analysis and concentration of assets. I hope he doesn’t mind me saying this, but Oren Zeev has a lot of concentration across funds in Navan, and at points that has looked very, very nerve-racking. Point being, when it went to zero in COVID, they announced, obviously, that they’re filing their S-1.

I thought there were interesting elements: $613 million in revenue, growing 32% year on year; 10,000 customers; and 110% NDR, which is good. Not best in class, but good. How did you guys think about this S-1 announcement?

Speaker 1

Before we talk about the S-1, let’s go back to Oren Zeev. Well done, Oren. Good guy. Think about it: you made a very nondiversified bet. It’s terrifying. You then had COVID in your travel company. Your revenue probably went to zero in March 2020.

To go from there, in a nondiversified bet, to having an S-1 on file for a perfectly doable, nice IPO, I can imagine the exhale when this puppy prices. So well done to him and his investors.

You guys are better experts than me. Is it really as concentrated as it sounds? If these are SPVs, opportunity funds, and other things, is this really him putting 80% of a main fund into Navan, or is this him stacking a whole bunch of vehicles?

Speaker 2

I have no idea.

It just may not be as concentrated as it sounds, right? It may be a lot of his book, but it may not be as concentrated for his early-stage fund as it sounds, right?

Speaker 2

Well, 20% of a fund, dude, is a lot—and 20% across multiple funds is a lot.

I don’t think it’s a lot. You have to put it in context. If you have a small fund, how big was his core fund in that, right?

Speaker 2

Do you have 20% of your fund in any company?

Yeah. I’m a pretty concentrated investor, so I’m going to get to 10% in almost 2 checks into any deal. Listen, if you have 100 bets, it makes sense if you have a breakout winner. You should put 20% into your winner. I think 100 is risky because Rory can help me do the math. Once your fund is up 4 or 5X, 20% of the initial principal isn’t that much of your NAV.

Speaker 1

Yeah, once you’re up.

Yeah, once you’re up.

Speaker 1

Look, again, these are all trade-offs. Concentration can result in increased outperformance at significantly more risk, right? The question is, again, are you getting paid for that extra risk?

I don’t know if I’d have the stomach to put 20% in 1 deal, and I want to honor the fact that Jason clearly has the stomach for that. Founders Fund is, in my view, 1 of the most successful firms, and maybe it’s just a risk-tolerance perspective. I’d find 20% hard.

I do think not all, but most investment vehicles have some element of risk diversification in them. There’s not a huge appetite in most markets for undiversified single-stock risk, which, of course, interestingly enough, there is right now in, as you say, the Anthropic and OpenAI of this world.

Speaker 2

I always remember Brian Singerman teaching me that capital-concentration limits are the enemy of great venture returns.

Speaker 1

Yes.

Speaker 2

That’s why they have 33% of their fund in Airbnb. I don’t have the balls that he does, sadly. Otherwise, I’d be much richer, I’m sure. But I always remember that.

On Navan, point taken, Jason, in terms of the level of concentration.

Speaker 1

Before you go on to Navan, I’m just going to make a comment back on that. Citing the book again, it was really interesting because it made you run the exercise of what level of confidence you would have to have in the excess return from an individual stock to put all, half, or a quarter of your net worth in it versus having it in the S&P as a whole.

Speaker 1

You know, it quantifies your certainty level. One of the exercises it did was to say: How certain would you have to be that Tesla’s an outperformer to be 100% Tesla from the 2010 IPO on? The answer is you have to believe it’s about a 70% outperformer on the S&P, which, interestingly, is about where it ended up.

So you can quantify these things. Instead of just saying, “I’m going to take risks,” you say, “How certain are you that this stock is going to do 20% better than any other stock in my venture portfolio?” If you have a high degree of certainty on that, then, yeah, you skew your concentration. But you have to have some rule of thumb like that, rather than just, “I feel brave, let’s do this.” Sorry, now back to Navan.

Harry Stebbings

It’s a meaningful company. It’s been a very prominent startup for the last few years. Anything notable that you thought about the IPO?

Speaker 0

Well, can I ask both of you, maybe Rory first, a question on it? Maybe this is a little mean, and I’m a big fan of Ariel and everything they’ve done. But it feels like to me, and sometimes this is a good IPO strategy, that they’re going first.

Because, look, Brex just announced—and Brex had its slowdown—but it just announced it’s growing 50% at $700 million. It’s hard to take everything at face value. It’s a little confusing. But let’s assume they’re growing that fast or faster at $1 billion, okay? They have to be, mathematically. So if you see them as peers—and we could argue they’re not, but I think the markets will—it’s number 3.

So there is an argument that number 3 should go out now, before number 1 and number 2 are out and the public markets lose interest. I don’t know whether it’s true today, but when I’ve been on the other side of IPOs, there’s a strong desire to get, if number 3’s good, or number 2 is good, to get it out before number 1.

Speaker 1

Two things. One is, I think they would say—and in my view, correctly—that while they’re in adjacent spaces, Navan is very much trip- and travel-focused, with a small amount of software. Brex is very much card, with a small amount of software and payments. Same with Ramp. And Bill, which I was on the board of for years, is very much accounts payable with card.

So they get lumped in the same thing, but they’re actually quite different. And most of Navan’s revenue comes from business the other guys aren’t in, which is travel booking as distinct from travel pay.

Speaker 0

Yeah, almost all of it.

Speaker 1

So, in other words, when I book my flight on the Navan system and I book United, that’s Navan money. Now, if all I do is pay for a flight on United Airlines with my Brex card, that’s Brex money. But their adjacent space is not the same, just to put that out there.

At the same time, I can see you’re right when you zoom out a million miles. And when you read their S-1, they’re clearly trying to claim more than just travel, because they’re truly trying to claim payments; they’re trying to claim software. So based on their claims, which are a little in advance of their reality, you’re right: They are in the same market as the other 2. And if they are, it’s pretty damn smart to get out early.

Speaker 2

I think that expansion across the horizontal product suite is actually behind the rebrand from TripActions to Navan.

Speaker 1

Yes.

Harry Stebbings

Going from vertical-specific to horizontal. And I agree that Travelpark is obviously a very direct comparable for them, and they are bigger than Travelpark. I think it’s perfect timing. If I was the board, I’d be like, “Perfect timing. Let’s go, go, go.” Completely agree with you.

Speaker 0

But this isn’t the best time for Navan to IPO. They’re not profitable. This isn’t the best time. I think they’re doing it because of—listen, I could be wrong, and I’m a fan—but I think they’re doing it because of the competition for IPOs.

Otherwise, why not wait another few quarters and get profitable? Because it’s not the perfect—I don’t think it’s the perfect time to IPO.

I don’t know if they did. If we were sitting on the board together, I would argue with you that Ramp and Brex are not going to go out any time in the next 6 months.

Speaker 0

But my experience is: Create that gap. You could argue that, at a high level, Netskope didn’t get much attention because Rubrik is the same, but better. Now, it’s not the same, okay? But if you’re just comparing security IPOs, Rubrik is growing faster with better economics than Netskope.

Why? You know, wake me up when you have something better than Rubrik. Wake me up.

Speaker 1

But you’re still getting $7 billion of liquidity. First of all, let’s consider this. On a standalone basis, getting liquidity—and then we’ll do the game theory of the other guys, because those are different questions—on a standalone basis, yeah, you’re right. Probably—I mean, I can see the pro and the con.

It’ll probably take more than another year to get profitable. Because if you actually look in the P&L at Navan, they really held OpEx flat to, in fact, slightly down this year versus the prior year. And you do that as a board when you want to throttle the damn thing and make it profitable. So you really push.

And remember, inflation’s 4%, so if you’re running negative OpEx, in real terms you’re really reducing. So this is a company that’s clearly straining might and main to get profitable, right? And you’re growing 30%. So you could probably work out, based on that, is it 1 year or 2 more years to get profitable, based on 30% growth.

Speaker 0

Well, it’s too long then, right? It’s just too long.

Speaker 1

Yeah. And you said yourself, “I could wait, but this is a pretty damn good market. Do I take a little haircut for not being profitable yet? But am I done now? Am I public? Am I—? You know, it’s off the to-do list.”

You survived the near-death experience 4 years ago. And as we’ve discussed, we think, at the margin, public markets are just an easier place to be in terms of access to capital on an ongoing basis. So I think it’s smarter.

And you’re right, so you have that in the abstract, and then you have the game theory side of it, which is it’s good to be first, maybe, but you definitely don’t want to be last. I mean, the other side of the thing is really hard, where 2 other companies get out roughly in your space and you’re the 3rd.

At that point, unless you are demonstrably better than them, it becomes troubling to get out, because every public investor says, “I already have Brex and Ramp. Now you’re Brex and Ramp, but not quite as good. Why would I buy you?” So you don’t want to be the last player and the last one out.

Speaker 0

When people perceive it as a direct comp, even if it isn’t, if Brex and Ramp are already public and they’re better, I’ll just go buy those shares today on E*TRADE or whatever. Why do I need to do your IPO and listen to your roadshow?

Speaker 1

Right.

Speaker 0

Unless there’s a massive discount, why do it?

Speaker 1

Which would argue for exactly what you’re saying, Jason: It might be smart to go now. It might be smart to get the novelty value. It might be smart to take the ground. Maybe you can go public, maybe you can, I don’t know, acquire a second-string card payment company and add that arrow to your quiver.

Much easier to do as a public company. So, yeah, I think it’s smart.

Harry Stebbings

Rory, I haven’t had IPOs like you—IPOs, period. So I have to ask: You always get these newspaper articles that are like, “Oh, Index made $5 billion,” and big numbers thrown out, but you’ve got a lock-up period, and then, as a major investor, you can’t sell all in one go.

How does it actually work, genuinely, when you are a large shareholder? With the IPO, what’s that timeline to liquidity?

Speaker 1

Sure. First of all, yes, it is. It’s a totally funny thing, because the other thing, just to put it out there, is that you tend to report your holdings as an investor. You’re the named person on the thing, so in SEC filings, it looks as if you own not just your shares, but your partner’s shares and the LP shares.

Suddenly—so, I mean, let’s take the Index example at Figma. You can probably Google the partner at Index, and they’ll say, “Net worth in Figma stock: $3 billion.” It’s totally misleading and results in a whole bunch of charities calling you and saying, “Please give me some of your $3 billion.”

And you’re like, “I don’t have $3 billion. I got 20% of $3 billion divided 5 ways, and it’s got 6 months before the lock-up.” So, yes, you do get that effect at times.

Look, it’s just a process of time. You have a lock-up most of the time. One of the attractions of a direct listing is that you don’t. The lock-up is typically 6 months, and it can be waived earlier. Sometimes you see these performance triggers where, if the stock trades above a certain amount, you can waive the lock-up early, which is nice.

Speaker 1

The other thing that sometimes happens is that, during the lock-up period, if the stock performs well—and by performing well, it means trading well above the IPO price, which gets back to this whole thing of IPO pricing—if the stock, quote-unquote, “trades well,” you can probably get a secondary done.

That means you can sell more of your shares in the lock-up period via a registered offering. That’s attractive, because it’s liquidity in a structured deal where you just get your capital. And as a cynic, it’s one of the reasons why, at the margin, a 10% or 15% pop on the stock isn’t, quote, “the worst thing in the world.”

Because everybody who buys at the IPO is happy, and then 6 months from now, if there’s going to be a secondary, you can’t get a secondary done if the stock’s traded down.

Speaker 1

If you go public at $14 a share, and 6 months later you're trading at $12 or $10 or $9, it's extremely hard to get a secondary done. Whereas if you go public at $14 and it trades up to $18 or $19 and you make your first quarter, then you can easily get a secondary done. That's the second way out: the end of the lock-up window.

Other than a structured secondary, your choice is to distribute the shares to your limited partners or sell. And the truth is, it takes a lot of time, especially if you're on the board. You have reporting obligations. You have quiet periods where you're not able to sell, and it takes a long time to get out of a position. Typically, 18 months from the IPO, plus or minus—maybe 24.

Is it not just better to sell in a pre-IPO secondary?

Speaker 1

No, probably not all the time. Again, you have to have—it gets back to the same 2 criteria—you have to have an informed opinion on the value of the stock, and then you have to figure out your risk tolerance and institutional issues on top of that. To the extent that the median stock pops and then trades up, you'd probably be leaving some money on the table. But there have been times when that's been the right call.

I asked Hemant on the show, "Do you believe that you are fundamentally a better manager of public stocks than your LPs?" And he said, "No."

Speaker 1

No.

Harry Stebbings

"But we do understand that there are some who have this rule that they have to systematically sell the minute that they're distributed to. In that situation, we will deliberately hold on, because we're not saying we're arrogantly better, but they have this systematic rule in certain cases, or ineffective in a lot of cases, where actually they need to hold on." I thought that was interesting.

Speaker 1

And he's broadly correct. Some LPs choose to automatically sell, and the logic is: look, they're inheriting a stock they don't know anything about. The person who knows most about it, which is the GP, has elected to distribute it, so there's some signal in that, and it's just not the asset they want to hold. So I get the logic of the distribution. Well, I get the logic of the rule.

Speaker 0

Holding is your best time to legally trade on inside information, though. If you're on the board or close to it, it's your best time to trade on that illegal information by not trading.

Speaker 1

By not trading.

Speaker 0

Yeah. You can hold legally with inside information. It's a privileged position. You can sit on that board and know what's coming next quarter and tell no one and hold. Now, you have to be careful if you distribute or sell; you have to be a little thoughtful about your timing. But you have this special thing where you can hold on inside information.

Speaker 1

Yeah, you're right. There's no securities law violation in holding. Equally, just to say it, if you have negative information, you absolutely can sell. So it's not a one-way street.

But you're right. I remember one case of that on a public company I was on. It was around 6 or 9 months where we were in active M&A talks, and you'd have your LPs ask you, "Why don't you sell this stock? It seems very fully appreciated." And you can't say a word. You just have to say, "We're taking everything under advisement," and you're sitting there knowing we're about to get a 30% or 40% premium once this deal closes.

It's a great point, Jason, because sometimes LPs ask, in my view correctly, "What's the advantage of being on the board once you're public?" And there are disadvantages, but it's not a one-way street. The disadvantage is limited trading windows, but the advantages are that you do have an inside seat on something like driving to an M&A or an upside outcome, and you have a better sense of the company's performance.

So it's a toughie. I find you err on the side of getting off reasonably quickly because you do want to get on to the next business, but I don't, on the other hand, believe in just bailing day 1. So I've generally found you get off within 12 to 18 months of the IPO most of the time, and at that point, you're distributed, you've done your job.

That said, it is worth pointing out that the two venture investors in the Nvidia IPO in 1997, Mark Stevens and Tench Coxe of Sequoia, I know, have stayed on that public board to this day. And I believe the board package—as in, the equity you get as a board member—has been extraordinarily, extraordinarily worth their time. Let's just go with that.

Speaker 2

And there's one—I totally can't remember, so I'm not even going to try—but who's never sold a share?

Speaker 1

Yeah. I think it's Mark Stevens who's never sold a share. Yes, that's good. No, you're probably looking at $1 billion-plus, maybe many billions of dollars. Being early in the largest market-cap company on the planet and never selling any shares turns out to be a remarkably good way to make money.

Speaker 0
Speaker 0

I think it's impressive, just like the concentration in Nevon. It's just a little less impressive than it sounds. It's very impressive, right? But when you're up enough personally, it makes sense to hold all your winners in the public markets for taxes and other reasons. There's just no reason, if you're personally up enough, to sell any winner, right? Unless you know it's going down—sell it, right?

Yeah.

Speaker 0

But you want to hold on to an asset that will continue to appreciate essentially tax-free. There are a lot of advantages to it, right?

Speaker 1

Pointing out that portfolio theory would say something different. Emotionally, I'm with you. I liked holding on to the companies I'm involved with. Portfolio theory would say something different.

8. H1B Startup Impact

Harry Stebbings

I'm not breaking the rules here, but it's a very significant part of our ecosystem. I mean, it directly applies to tech. I'm not going into politics. But H-1B visas were announced in terms of the $100,000 fee or payment that's needed now for new H-1B visas to be granted. So I'm not going into Trump or politics, right?

Speaker 1

Yeah.

Harry Stebbings

Really, do you think this will have a material impact on startups, early-stage companies, and the teams they've built?

Speaker 1

It will have an impact. It will obviously, at the margin, be negative because, at the margin, immigration has obviously been extremely good for the tech ecosystem. So you can make that as a definitive statement. "Material" is a harder thing to assess.

Well, there were 440,000 applications in the last year. They generated between $19 billion and $120 billion of GDP for the US.

Speaker 1

Yeah. 70,000 accepted. I think there's 70,000 or 75,000 a year, one or the other.

I think, at the margin, if you were to have any rational immigration strategy and you were to rank all of the people you want to let into your country, STEM graduates who found companies that employ thousands of Americans would be at the top of that list. You could argue that some program like the exceptional program we have, which is separate, makes all the H-1Bs kind of make sense.

You could argue that some increased fee might mitigate some of the arguments against the H-1B, which some folks would make: some of the applicants are at least doing much simpler work that could be done by folks in the country, and therefore, hey, maybe they should be charged more than that.

I think the way this has been implemented, the absolute sum—all those things—aren't great. And I think the real truth is that rational immigration policy for something like this gets caught up in, as you say, a whole swirl of other emotions around wider immigration issues and what it means.

It seems to effectively preclude any sensible, rational policy on this kind of highly skilled immigration, when it's pretty obvious that a rational program like this would be extremely good for the US.

Speaker 0

Anyone who's been doing this for a while that isn't just 3 kids working 9–9–6 in San Francisco has had H-1B folks on their team. I have.

Speaker 1

Yes.

Speaker 0

I've had great folks on my team, especially at my first startup, which had a material-science component. It wouldn't have been possible without H-1B, at least on its surface, okay? I had 2 folks with H-1Bs on my team.

Speaker 1

Yeah.

Speaker 0

They were transfers, right? I didn't sponsor them. I had them on my first team of 10. I had 2. I wouldn't have had my first exit or my first startup, or saved hundreds of lives from my first startup, without them. So for sure, right?

What we want at a meta level is everyone great coming to the US. That's what I selfishly want: every single talented person that can help keep our NVIDIA shares high-flying coming to this country. I want it selfishly, ethically, and personally.

But at a very tactical level, we find ways. The O-1—if you look at the companies you've invested in, they're all O-1s now, okay?

Speaker 1
Speaker 0

Everyone finds a way to get an O-1. At least all the founders get O-1s, and O-1s have a lot of cons, right? And you've got to keep them going, and it's stressful. But there are ways, and so I do think the impact will be modest, and the big tech companies will just pay up.

I think it's terrible. But I think the impact will be modest at the moment if it doesn't expand. We've all had great H-1Bs on our teams. It sucks.

Speaker 1

Exactly—the pragmatic point. If you see the strong positives that the program brings in aggregate, you can say there's a little bit of abuse, but it's worth the tax. If you're on the outside and you're incensed by immigration in general, then you ignore the great people who've been enabled by H-1Bs, and you focus on the abuse, and you say, "This is awful."

Speaker 1

Pick a company. Microsoft is using H-1Bs while laying off Americans. It's easy to give that speech, right? There's no accident that the countries that have the most skills-based point systems are the countries that have the least angst about immigration.

$100,000 is kind of a rough American proxy for skills-based. In a rational world, you do what—let's just remind ourselves—what Trump at one point said he'd do, which is attach it to every STEM degree. You're trying to find some proxy for letting the people who are best for America, right? That seems to be a reasonable rule because, let's be frank, everyone wants to get to America. God knows I did. So you have to have some rule that isn't everybody.

A logical rule is what's good for us, and you could imagine a point system, STEM, all that kind of stuff. The money thing is just a very crude proxy, I think. With people being more cooperative, you could probably come up with a better scheme than picking a dollar sum and making that the deciding factor.

Speaker 2

9. Notion's Reacceleration

A final one before we do a Cowsey quick-fire is just Notion hitting $500 million ARR, which I thought was really impressive.

Harry Stebbings

And accelerating.

Speaker 1

So, okay, I'm going to say it then. All right, they're not triple, triple, double, double, right? Is it impressive? I mean, I think it's impressive, but this is almost a counterpoint to the “the only things that matter are things going faster than SaaS” argument. This is a mid-size SaaS company. We're at probably, I don't know, 30%.

Speaker 2

Why did I think it was impressive? I think it's to Jason's point. It's hard to get a reacceleration at scale. I think triple, triple, double, double is—

Absolutely dead in the early stages.

Speaker 1

Agreed.

Harry Stebbings

Double, double, double, double at hundreds of millions in revenue is phenomenally impressive to me. At $500 million in revenue, you could actually squint and see my $10 billion stock, which I have since it acquired some of my companies, reasonably finally being up to the watermark of $10 billion. I'm like, eh, 20X. It's a bit punchy. But it's a bit punchy with that growth rate.

Speaker 1

Those pesky 2021 valuations.

Speaker 0

Oh, Jason, $10 billion.

Speaker 1

Yeah. I mean, I think what it says—

Klarna doesn't even talk about it anymore.

Speaker 1

What it points to is, you know, reports of their death have been greatly exaggerated, as Mr. Twain would say, right? It turns out these mid-tier, significant-scale SaaS companies don't have to just become something totally different. They have to embrace and lean into the AI trends while still being fundamentally the thing they are, not trying to be a totally different company.

You can get reacceleration, and I agree with you. I was giving you shit, but you're exactly right. A 30% acceleration at $10 million isn't what the paper it's written on. But if you're at critical scale, within striking distance of an IPO, and you can use an AI-enabled story to get you back over 30%-plus, 40% growth, you have an IPO in your future.

If they IPO today, where do they price?

Speaker 1

Crudely estimating, I don't know the growth rate, but let's assume it's 30% or 40%. I doubt it's really doubling. I could be wrong, but just looking at the head count, they have 1,200-odd people, which doesn't get you to doubling based on the growth rate.

A 30% grower—I mean, Netskope and Navan, and… Well, Netskope has priced already. It's 7, 8, 9 times NTM, so something like that: $4 billion or $5 billion, maybe more if their forward growth rate is a little better or if I'm underestimating the revenue. But yeah, a long way from $20 billion, and it'll be interesting to see how they digest their preference issues. But a great outcome. I mean, $5 billion, $7 billion, $8 billion is real money.

Speaker 0

No, I know. I got in at 10.

Speaker 1

But Harry, easy. I don't know if it was. That's your problem, not theirs.

Speaker 0

It's not my fucking problem. They bought my company. I didn't have a choice.

Speaker 1

Well, it does hang over the heads of most founders—the high valuations. They've compartmentalized it.

Yeah.

Speaker 1

It's a little bit their problem.

Harry Stebbings

It is their problem, and as I said, the real question then is, how does it get unwound? Playing that out, how does it get unwound? We talked about this in the context of a couple of the prior IPOs. I don't think you should stay private just to earn your way back into $20 billion.

I think you can go public, and then I think it will boil down to this: You might go public, and either the stock gets converted, or, as we've discussed, the preference remains outstanding until it grows into it. But yeah, I don't think you can hold the rest of the company up just because 5% of the company paid $20 billion pre.

Final one, and then I promise. Do you think Airtable will make it back? I got a ton of Airtable from them buying a load of my companies again. Just help me out with my planning.

Speaker 1

All these companies are going to be priced on the fundamentals. This does go back to maybe a more prosaic version of the Hamad comment, right? The stories at the forefront can be priced on sizzle. Stories that are 10 years old are going to be priced on fundamentals.

If they have $200 million in revenue growing at 20%, they'll be priced at 5 or 6 times. If they have $300 million or $400 million growing at 30% or 40%, they'll get a decent 7 or 8 multiple. It's hard to get to scale in these markets, you know?

You have the dynamic of Microsoft at all times. There was a period of time when all those companies felt euphoric, right? It felt unbounded for Notion. It felt unbounded for Airtable. And then, a little bit, the tide went out of the productivity tools market. A little bit, Microsoft just started grinding away at everybody, as they've done in so many other markets. And then the world's moved on to AI.

So now these are perfectly good companies that are just going to have to find fundamental value based on revenue multiples and, even God forbid, free cash flow.

Speaker 0

Just like there was a time when you weren't allowed to talk about Web 1.0 anymore because it just didn't matter, I think we can't talk about 2021 valuations anymore. It's time to just flush them down the toilet.

I wrote down everything, I guess, a year and a half ago—whatever—everything that had a hint of froth. I have one deal I'm still carrying myself because it's over $300 million in revenue and growing. I'm holding it as 2020..., but I'm marking it down this year. It's time to just forget about those valuations. Just forget. Maybe you can't pretend. Mark them down, even if they're personal, and just forget about them because it's too far in the past now.

Four years—it's time to move on from those decacorns of 2021. I mean, Klarna was what, $40 billion? Time to move on. Time to move on.

Speaker 1

Its peak was $45 billion.

Speaker 0

Yeah. Time to move on.

Speaker 1

Sequoia brilliantly did the round at $5 billion or $6 billion, and obviously 2X'd or 3X'd that. I think overall they 7X'd their investment.

Yes. I think we're not allowed to talk about these rounds anymore.

Speaker 1

Agreed.

Speaker 0

I think we're getting to the end of this year. You've got 90 days left to kvetch and complain about your 2021 valuations, and on January 1, 2026, no one is allowed to talk about their 2021 valuations anymore.

Speaker 1

The only problem with not talking about your 2021 valuations, Jason—

Yeah.

Speaker 1

—is that we seem to be determined to make exactly the same mistakes in 2025.

Harry Stebbings

Yeah. We need the runway to make them again, Rory. We need to focus on making the same mistakes again and not be hampered by them in the past.

Speaker 1

That's a lovely way to put it. I'm seeing less diligence now than I did in 2021.

Speaker 0

On any hot AI deal, there's no diligence provided, nor is any done, right? It's just done on Saturday. Why would you do diligence? All you can lose is one extra money. Why would you do diligence?

Speaker 1

Again, you can say what you like. As long as you don't put this quote out under my name, Harry, I'm happy. Again, to be the boring guy here, we're finding that what you have to do is due diligence prior, right? You have to come to the table with an informed opinion, which you can either pull out of your ass or try to do some pre-work.

Speaker 0

One of my companies had a term sheet pulled—a large company doing a lot of revenue—from a tier-one firm. What I've found more and more is that, just to get the exclusivity and lock the deal down, they'll term-sheet it, and then for the deep work they're like, “I'll do it after, in the 30-day closing period,” and then they pull. This is a really bad trait of an increasingly competitive market.

Speaker 1

But I'm less critical of it now than I was in all the prior years of my career. I'm less critical of it today.

That's pretty fucking bad. No?

Speaker 1

I know, but here's my view, Harry. If you're only giving me a Saturday afternoon to make a decision, if you're giving me one hour, you won't share any data, a lot of these contracts are paid pilots, you're not disclosing anything, and you want me to make a decision in 5 minutes, either it better be fucking solid—

Okay? And if immediately after that term sheet I see 10 things that aren't true, and you want me not to rescind my term sheet, you better let me dig in here. The level of trust that you have to have to do a deal on a Saturday is under-discussed. It is mocked by many, including leading accelerators, but there is a high degree of trust involved in this.

Speaker 0

So, again, if you want people to make a decision in 5 minutes, you better be on the up and up. I used to be critical of it, Harry. I used to think it was holding my place. And it still happens. That's your point: it happens. It's bad practice, but I have a lot more empathy than I've had over the last decade. I have a lot more empathy in 2025.

Speaker 2

Or just do what we do, which is say, “If you want that decision timeline, that's not our type of deal. Sorry, we're not going to engage.”

Speaker 0

Yeah.

Harry Stebbings

True.

Speaker 0

But I think many of the best companies don't provide that flexibility today. Now, the best founders warm them up, right? Give them breadcrumbs and give them data ahead of time. If you want a big check, you have to do that. But when they're ready, it's 1 day, dude.

You can say no, Harry, but you're an aggressive investor. You're going to say yes to a couple. I'll bet you that SaaStr tattoo, you're going to break your rule a couple of times. But it's the right response, right?

Harry Stebbings

Dude, I'll get a SaaStr tattoo if Rory gets one.

Speaker 1

Well, then you're fired. I plan to die with my body unblemished by tattoos.

Speaker 0

It's not just being founder-friendly. We all want—anyone that's been a founder wants to be founder-friendly, right? I want it to be extreme. But not allowing diligence, for all intents and purposes, you're running a risk.

Jason, have you got less founder-friendly?

Speaker 0

Less founder-friendly? I am more founder-friendly, but it is less appreciated, by far. I am the most founder-friendly I've ever been in my career, and I get less— I catch more crap for it. Everyone says, “Great job.”

Speaker 1

Yeah.

Speaker 0

Everyone's jostling behind the table, and everyone's manipulative.

Speaker 1

Oh, poor Jason.

Speaker 0

No.

Speaker 1

I mean.

Speaker 0

You asked the question. Founder-friendly is as bullshit as pulling term sheets in 2025. Founder-friendly has become bullshit, but it's table stakes. It's table stakes to get into the deal. You have to be founder-friendly, right?

Founder-friendly is writing the check when no one else does. Founder-friendly is when no one else is there at the board meeting anymore, and you're there, and you still have a W on the other side of it. Founder-friendly is when you actually recruit the executive for the role, not just say, “Who are you looking for? I'll send it to my talent person,” and do nothing. These are things that are founder-friendly, right? Not saying, “Great job,” no matter how you do.

Speaker 1

I find myself oddly agreeing with much of that. What I've internalized is that, in the game of being founder-friendly, it's not a winnable game. So what I say is, I'm trying to be founder-honest. I want to be founder-honest, which is: I want to tell you exactly what I think, which I think is more useful than saying, “Great job,” if it's not doing a great job.

And I think you're right, Jason. The only way to judge who really is founder-friendly is by how they behave in a tough deal. There's no information on how you do in a good time, right? I've just internalized that most people don't check that, and that's just the way it is right now.

So it just becomes meaningless, trying to prove something in a bull market that you really only demonstrate in a bear market. But that's okay.

Harry Stebbings

I'm just going to say this before we do a quick-fire, because Jason won't, but I always remember the RevenueCat founders telling me about Jason wiring them money from his personal account.

Speaker 1

Totally.

Harry Stebbings

And it's like, whoa.

Speaker 1

Totally.

Harry Stebbings

That was—

Speaker 1

I remember that. It was the SVB weekend. We were literally on Sunday having a partnership call, doing a whip-around to say who could cover which companies when the recap came in and the US government stepped up.

But it was interesting who— You only know what people are like in a tough deal. It's also true, by the way, in VCs. You can only decide which VCs you really like when you've been through a tough deal with them, because then you know.

10. Quick Fire Predictions

We're going to do a quick-fire. The bet is on: when will a final TikTok deal be reached between the US and China? Come on, Rory, you love this round.

Speaker 1

I hate this round, as you know, but I'm going to vote for never, because it's just so much fun for the big guy to keep dangling it. I'm being slightly glib here. But planning to do the TikTok deal has been the most fun anyone's ever had, because you have favors to throw at people, et cetera, et cetera.

Look, I'm sure it'll get done at some point, but it's not knowable by me.

Jason?

Speaker 0

Look, obviously there's a lot of complexity here, right? But I'm going to say the next 60 days. There's definitely somewhat toxic H-1B stuff. This is a lot of tariff posturing, too, to get these deals with China and India done, and I think they're going to get done.

So whatever this crazy deal is, it's going to get signed. I think these deals are going to get done this calendar year, and I think it's going to get signed. Hopefully this H-1B thing kind of diffuses too, because now it's not for existing. Everyone had to frigging fly back in 24 hours, right? Now you don't have to do that, and a lot of these things may kind of evaporate as the tariffs get resolved. So I'm betting 60 days.

Meta smart glasses: another fail for VR or mega-success?

Speaker 0

0% chance they're a success. What's the bet? Because I own 8 pairs of the existing ones. We just don't need to play Tron in our eyes. We just don't need a seventh screen. It's another solution in search of a problem, in my opinion.

There's only so many times I need to be on the podcast with Harry looking at my notes on an 11-inch screen. It's not a huge problem in the real world. I'm having fun. I'm watching what Johnny Ives from his new $70 million Tiburon Peter Terry just bought with his, with his shares to add to all of Jackson Square.

I think he's going to come up with something disruptive, and I think it's fascinating, because it's such a hard problem. Only so many of us want to wear 2 smartwatches. It's hard enough to get the smartwatch. Changing this paradigm has been tough in tech. A lot of venture dollars will go into it, per Harry. In the real world, we leave them on the shelf.

Final one. Will Atlassian's buying spree pay off? They've got DX, they've got smaller ones, Cycle, Born. They're just going and going and going on the M&A. Will it pay off and make them an AI leader again or not?

Speaker 1

It'll help. Look, it's not going to make them, quote, “an AI leader.” They don't have to claim AI dominance. All they have to do is move their existing customers into an AI engineering management world, then the browser-based thing separately, and just try and stay vaguely relevant, defend the market cap, and grow the business 20%.

If that's what leading is, then maybe. If it's, do I think it's going to make them the AI-dominant coding agent? No. But it's just trying to move the needle on a $4 billion revenue, $40 billion market cap company.

Speaker 0

No, it's not enough. You have to put chips into play, and I think it's just baby steps. I also look for these signs, like what Sam Altman is saying, right? The other thing on the DX, when I looked, these are not easy jobs for Michael Cannon-Brookes, right? These are not easy jobs.

The PR pictures of him on the deal were just him alone. It wasn't even with the DX founders. Just this lonely picture of Michael, and I thought, “Man, this is a tough job.” He has one of the great iconic properties of all time, all right, in somewhat developer-focused B2B software. But the lonely Mike in these pictures, I'm like, “Man, this stuff's hard.”

If this was going to change Atlassian, they'd be together toasting rather than the wartime Mike picture. So I think it's a start. Dilution aside—or I don't know, I should know whether they did it with cash or stock—you know, make the bets. I don't think this is going to change the face of the company.

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