Thesis-driven early-stage venture capital firm.

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The next chapter begins. 11. 19. 26.
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Kaiko has been named a RiskTech100 2027 winner, ranked #88 overall, and received a category award for Treasury, Finance and Markets: Digital Assets Pricing and Modeling.
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Have you heard? Insights is here — production, collections, show rate, new patients, all in one dashboard. Go take a look. nexhealth.com/features/insig…
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Why I’ve been struggling to create an updated version of our famous Funding Napkin for a while. ;-) More seriously - we will publish an update at some point and it will be funny, but meanwhile, check out all of the data published by @cartainc. It’s honestly a much better, bigger dataset than what we collected for our napkins.
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We are super excited to be backing the team at @f13 on their mission to make AI images the best images out there and not low effort slop! Let's go 🚀🤖🖌️
hello, world f13.com/
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With Duplo, payout days run on complete autopilot. • Upload a single CSV file with hundreds of recipients • Automatically verify account names before money moves • Execute instant, reliable bulk transfers in one click • Track status updates in real time on a clean dashboard Transform your heavy payout days into a 2-minute task. 👉Sign up and start streamlining your payouts today at tryduplo.com #TryDuplo #BulkPayouts #FinanceOps #CorporatePayments #B2BFintech #Automation #CFO #BusinessPayments
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In New York for the next few days and making time for a coffee :) If you’re around and curious to talk about nature intelligence, shoot a dm! 🦉
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Looking forward to co-hosting this event with @YTR4N_ in SF next week! luma.com/gbzd90n8 In true Oktoberfest spirit, we're going to meet at a brewery to bring together founders and people who are thinking about starting a company. PS: We're calling it "German founder mixer" but we're not going to check passports at the door. All nationalities are welcome. 😉
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Just watched this. Unlike most technology and investing interviews, there is something unique about Michael Moritz linked to: - his ability to pick words - his understanding of psychology - never being totally satisfied… …except maybe when painting. Highly recommended
My conversation with Michael Moritz, one of the great venture investors of the last 40 years. Michael joined Sequoia in 1986 and co-led the firm with Doug Leone (@dougleone) from 1995 to 2012. His investments include Google, Yahoo, PayPal, and Stripe. His new book, Ausländer, traces his parents' escape from Nazi Germany and helps explain his lifelong interest in what shapes exceptional people. We discuss: - The infamous Steve Jobs profile - Why Don Valentine hired him - The question he finds most revealing when interviewing people - Monomania and the cost of greatness - Why he has never felt good at anything - Writing, journalism and AI - What he learned about himself writing Ausländer I'd recommend watching this one if you can. Michael was incredibly thoughtful and reflective throughout, particularly when talking about his parents, childhood, and the more difficult parts of his personal story. Enjoy! TIMESTAMPS 0:00 Intro 0:53 Family History & Identity 7:03 Survival & Outsider Instinct 18:53 Studying Exceptional People 33:50 Self-Doubt & Success 41:17 Steve Jobs & Obsession 52:50 Joining Sequoia 1:03:22 Leadership & Alex Ferguson 1:08:25 Elon Musk & AI 1:17:12 Becoming Who You Are
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So nice to listen to some of my heroes like @karpathy and @bcherny today! Thank you for the great event @vonperger.
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Introducing Clio for Codex. Through MCP plugin, lawyers can now access Vincent directly in Codex, bringing Vincent’s legal research, docket analysis, and matter context into their work, with citations back to source. Learn more: bit.ly/4AljTqF @OpenAI
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Kaiko just extended its Series B to $110 million, supported by @SPGlobal, Alura Capital, @BNPParibas, @Bpifrance, @Broadridge, @CantonNetwork, @cbventures, @DRWTrading, @Nasdaq, @RBC, @StellarOrg, & Susquehanna, alongside existing shareholders @anthemis, @PointNineCap, & @Revaia_Cap. In this video, Kaiko CEO @ambresoub explains why this exceptional lineup matters: “Their investment shows just how essential data & data infrastructure are to their strategic roadmap. This goes further than just an investment.” Watch the full interview here 🔗 piped.video/NG4GqsaUOKI
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Once again @attio is the fastest growing CRM in the world (off a baseline that gets higher and higher). When we started many people thought CRM was too hard and urged us to build a point solution, I'm glad we didn't. ramp.com/vendors/categories/…
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agents are pretty good at transferring a model from one CAD to another by rebuilding its parametric history step by step, verifying each step geometrically and they can transfer the metadata too for now it's slow, but once it's fast - will that destroy the data lock-in?
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Why nature intelligence for wind turbines? By replacing broad shutdowns with real-time signals, we can keep them spinning longer without smashing birds & bats.
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The post by @venkyganesan inspired me to build a 10 hour course with @graspdotstudy on Contrarian VC Investing. A bit theoretical, it links into reflexivity, mimetic desire, keynes and other theories of market movements and price/capital formation.
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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Search feels "fine" until someone can't find a page that clearly exists. Here's the fix: build a 50-query "golden set," score it against Relevance/Top 5/Top match, then fix one layer at a time: data, ranking, query behavior, UI. A repeatable way to stop guessing 👇 bit.ly/4754D3D
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Not one to usually repost a fund announcement but BCV and in particular Enrique Salem has been the best partner we could have wished for at Poolside. There are few people I would blindly trust, Enrique is one of them.
Make money. Have fun. Live with integrity. Everything else can change. Fund XI. $1.6B total capital for those who know that it will.
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One agent vs. many specialist agents: same tools, same tasks, very different results. 🔹 Quality: nearly identical 🔹 Latency: 2.5x slower with the distributed setup 🔹 Cost: depends entirely on how models are assigned When does splitting into multiple agents actually pay off? Get the full breakdown: bit.ly/4zFmEmr
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