Partner @slow. I underwrite reasonably unreasonable futures, find where the value will concentrate, and help build the companies that capture it.

The Bay
“When money costs almost nothing, the hurdle rate for stupidity also approaches nothing.” 🔥🤣
The Easy Money Fairy Tale Is About To End...Violently zerohedge.com/markets/easy-m…
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I would still like to get an answer to this.
What would actually have to happen for the market to decide the frontier labs just aren’t that great of businesses? Models converge and are commodities? That’s expected. Growth slows? That’s ok, huge installed base. Margins suck? Investing for the future. Capex explodes again and again? Moat. Delay the IPO? Too focused on the mission. These might end up being incredible businesses. It’s just a little wild that every piece of bad news somehow becomes evidence for the bull case.
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Hard to see a large fundraise and not wonder which firms got what discount...
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You are not bullish enough on Cal
All seven Databricks co-founders began our journey together at UC Berkeley. We started the company in a room in Soda Hall, moved to a small office on Addison Street, and spent our first few years in Berkeley before eventually heading to SF. Two of our co-founders are still on the faculty. Today we announced Databricks Field at California Memorial Stadium, our first collegiate athletics sponsorship. Berkeley shaped everything about how this company thinks, and this is our way of investing in the next generation of students and builders who'll do their best work on that campus. Go Bears! databricks.com/company/newsr…
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Because it was finally time for a weighing contest...
Why have the big VC backed IPOs failed so miserably versus the QQQs post listing? Of the >$50b IPOs, aggregate IRR since Day 1 is a -4% annual return, measured against the QQQs with an 18% return.
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Will Quist retweeted
Replying to @Curiousjorge65
Because inflated private markets oblige fragile, one-dimensional growth which public markets do not like, and it's difficult to correct.
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Most of venture today just pays up to be right, when the job is actually to finance the process of finding out.
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Will Quist retweeted
This is 100p what is going to happen in healthcare. 👀
Amazon cuts off Muse. While I am bullish Meta and Muse, I think many people are overlooking the digital knife fight that’s about to occur Nobody wants to get commoditized or layered here. Let the games begin
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Customers just want outcomes. Which model delivers the best result for the money depends on the task—and changes with every release. Knowing which model to hire is itself an intelligence problem. I think the best business from the AI area is the one that solves this...
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Great take from @venkyganesan Extra points to him for intellectual honesty since he is someone who is really benefitting from the reflexivity of the voting machine right now.
A few thoughts on the current state of venture capital. When the Music Is Playing In July 2007, a few weeks before the credit markets seized up, Chuck Prince, then the CEO of Citigroup, gave an interview to the Financial Times. The line everyone remembers is this one: "As long as the music is playing, you've got to get up and dance." He was mocked for it for years afterward, and he lost his job a few months later. But I have come to think he was saying something honest. He wasn't claiming the music would play forever. He was admitting that he couldn't sit down while it was still going, and neither could anyone else in his seat. I've been thinking about that quote a lot lately, because right now is the most disorienting period in venture capital I can remember, and I have been doing this for a while. Here is what makes it disorienting. It's not that things are bad. Some things are spectacular. We have companies in our portfolio growing faster than anything I have seen in my career, and I don't say that lightly. At the same time, we have companies with no revenue, no product, and a founding team you could fit in a conference room raising billions of dollars at valuations of $10 to $50 billion. Both of these things are true at once, and if you try to reason about them with the same framework you will drive yourself crazy. Two ideas have helped me make sense of it. Neither is mine. The first is reflexivity, which George Soros has been writing about since the 1980s. In most of life, perception follows reality: the weather is what it is, and your opinion of it changes nothing. In markets, it runs the other way too. Prices change what participants believe, and what participants believe changes the prices. The feedback loop can run for a long time, and while it's running it looks exactly like progress. Here is how reflexivity is playing out in AI. Full disclosure: Menlo is an investor in Anthropic, so read the following with that in mind. People watched a frontier lab go from a $4 billion valuation to $18 billion, then $60 billion, then $180 billion, then $380 billion, and now something close to a trillion. They drew the obvious conclusion: that is what a neo lab looks like. So the next neo lab gets priced off that path, not off anything it has built. Then it gets marked up in a subsequent round, and the markup itself becomes the proof. Look at Thinking Machines. Look at Reflection. At that point valuation has stopped being an output of the metrics and has become the metric. Nobody is discounting cash flows. They are discounting the last round. Soros is very clear about one thing, and it's the part people skip: you cannot know when or how a reflexive process ends. You only know that it does. Every one of them has. The second idea is Chuck Prince's, and it explains why smart people keep dancing even when they can see the loop for what it is. As far as I can tell, there are two groups on the dance floor. The first group got in early. Firms like ours were in some of these AI companies before the numbers got silly, and the paper gains are enormous. When you are sitting on gains like that, you start to feel like you're playing with house money. I have been around long enough to know that house money is the most dangerous kind, because you don't respect it the way you respect money you had to earn. The second group missed the early rounds and knows it. Their LPs know it too. So they are trying to make up for lost time by writing very large checks very late, which is the one strategy almost guaranteed to turn a missed opportunity into a real loss. House money on one side, FOMO on the other, and reflexivity feeding both. That's the whole story. Everyone has a reason to keep dancing, and the reasons are different, which is why nobody can talk anyone else off the floor. So what do you do? The instinct in our business is to answer with company identification: just pick the right neo lab and you'll be fine. I think that's the trap. When price has become the signal, being right about the company is not enough, because you can be right about the company and still be wrong about the price by a factor of ten. The public-market investors I admire figured this out a long time ago. They spend as much time on how much to own as on what to own. The winners in venture over the next decade will be the firms that treat portfolio composition and position sizing as seriously as they treat sourcing. How much of the fund is in companies whose valuation rests on the last round rather than on revenue? What happens to the portfolio if the reflexive loop breaks next year instead of in five? Those are not exciting questions. They are the ones that will matter. The music will stop. It always does. Dance if you must, but know where the chairs are.
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Will Quist retweeted
The biggest threat to a hard tech startup is when the incumbent finally decides to give a shit. Your moat needs to survive the moment a $20B company realizes you're taking enough revenue to become annoying. Until then, you’re competing against their apathy. After that, you’re competing against their balance sheet, supply chain, customer relationships and 30 years of institutional knowledge. The head start isn't the moat. It's what you compound while nobody gives a shit.
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Periodic reminder: most of the venture capital market thinks that capital is endless / has very little cost (they arent that wrong - it has been!!!) and the more they ship the more they make. Incentives 🤝 outcomes.
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Will Quist retweeted
Great conversation at the @GoldmanSachs Americas Financial Technology Conference, where @getVGS CEO Chuck Yu joined a panel on the future of payments and commerce. 💳🤖🚀 One line that stuck with us: "The last 12 months were about building all the payment infrastructure for agentic commerce. Now it's about how quickly the agents can connect to it." As AI agents start transacting on behalf of consumers and businesses, the winners won't just be the ones who built the rails. The winners will be the ones who make it fastest and safest for agents to plug in. Thanks to Goldman Sachs for the invite and to everyone who joined the discussion. 👏 #VGS #GoldmanSachs #AgenticCommerce #Payments #Fintech #AI
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Will Quist retweeted
I've lost track of how many times I've heard some version of "I love this investment but could never get it past my IC" from friends and peers across various LP seats. There is a gross misalignment of incentives in our industry that often leads to allocators solving for what they can sell, not for what they actually think is the best investment.
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SpaceX is the most valuable systems integrator ever. Cause they sell outcomes.
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They don’t make every component. They make the things where owning them creates an advantage, buy the things where it doesn’t, and integrate the whole stack into a system that delivers an outcome: getting payload to space. Physical AI is gonna create a lot more SpaceXs.
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The winners won’t care whether the solution is a robot they built, someone else’s hardware, a model, software, or humans in the loop. They’ll own the integration and sell the outcome. Customers don’t want robots. They want the warehouse picked, the crop harvested, the ship unloaded, the factory running. The product is the outcome.
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Leone goes on with Senra, now Moritz on Invest Like the Best. I'm sure its just a coincidence and nothing is cooking at Sequoia...
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Will Quist retweeted
Automation is obviously coming. But 90%+ of the best physical AI companies of the last decade are going to end up as inputs to somebody else's more valuable network. The robots commoditize and the network keeps the spread. That's the bet we made on @cytronic in DTC fulfillment. Eight dollars a box becomes two.
Brands shouldn't have to become Amazon to ship like Amazon. Today we're unveiling @cytronic_ai — robotic fulfillment that helps ecommerce brands lower costs by up to 80%, deliver faster, and scale without giving up control of their customers.
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