Investing in fintech and AI @acrewcapital. Co-Founder @assembliai @Perplexity_AI Fellow. @Penn @Wharton @HotchkissSchool. Building? andrew@acrewcapital.com

San Francisco / New York
Everyone loves to hop on the retrospective founder DMs trend when an amazing company announcement happens. Almost all of them are the sad "missed that generational opportunity" type. Well, I'm happy to say this is the ecstatic "start of an amazing partnership" type! I first learned about @tankots and @WisprFlow in May '25 when I was at a dinner and the AI Grant whatsapp group chat was lighting up nonstop - the entire dinner - after @natfriedman asked if anyone had tried this new thing called wisprflow. There was so much excitement about it. So much so that one AI grant founder said their office had "become a zoo where we all talk to our computers." Fast forward two months, Tanay presented it to the Perplexity fellowship and it blew my mind how seamless the product experience was. It truly "just worked." Fast forward a year, and I'm stoked to say that @AcrewCapital is fortunate enough to partner with Tanay for his $280M Series B at $2B valuation, led by our friends at @MenloVentures ! We're avid Wisprflow users - especially Tom Porter who must hold some kind of spoken words world record at this point - and love how much better we communicate because of it. The product is magical and the business is absolutely crushing it. We can't wait to see how this funding unlocks their next phase of growth!
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Absolutely incredible!
Chief Design Officer @jgebbia officially unveils America.gov, the new online home for the United States of America
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We knew this tipping point would come but this is still a crazy moment for anybody who sweated over building 3-statement models in Excel from scratch
Today is the day that AI passed the "financial modeling Turing test" for me. A "push button" build from scratch Skill that one-shotted a model on $MU that is indistinguishable (to me) from a model that a junior analyst would build from scratch. With full, impeccable adherence to all aspects of who i like to format, design & build models (took a few turns to dial it in). Opus 5.5 is unbelievable.
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The goal is not a house in presidio heights or belvedere crammed next to your neighbors. The goal is a Colorado ranch tucked away from town, surrounded by family on the most breathtaking land America has to offer.
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I keep hearing from fintech founders right now that it’s a very confusing time to be building, that the bar for venture funding keeps being raised, and that it feels like the world around them is moving at warp speed with AI companies scaling to $100M ARR in the blink of an eye. They all ask me some form of the same question: “given this market environment, what do you think we should do?” My answer is typically very simple: study the hypergrowth winner playbooks. This advice comes after: 1) always build something people love and 2) always keep your customer your top priority. So, given I keep fielding these questions, I thought it made sense to make a post laying out the hyper growth winner playbooks, or as Tolstoy would put it, the architectural traits of the "happy families in fintech." These traits might appear incredibly obvious. I think that’s actually the point.
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Our latest research paper explores the growing connection between AI and digital assets and explains why broad AI adoption may drive new demand, utility and applications across the digital asset economy. blackrock.com/us/individual/…
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Very well put by @venkyganesan @MenloVentures on the disorienting venture capital market 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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This is the new reality.
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The top AI software companies are growing at intimidatingly fast rates, with the median company <$10M ARR growing revenue 10x YoY. The median top quartile company goes from $1M to $100M ARR in 3.5yrs. We have never seen such levels of blitzscaling ever before.
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Andrew McKinzie retweeted
Now your AI agents can use @arc (+ other chains & rails), controlled by rules you set. Here, our agent requests a $10/day budget, gets approved, and goes to work. Early Access is now open for a limited time. Sign up, try Arc, and you could get up to $50 for your agent's feedback.
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One of the early stage investments we're most excited about right now has grown ARR 30x+ in under 8 months, on a baseline of > $2m ARR. Setting the pace.
The Great Sorting has begun. A new class of software companies identified from our dataset, which we call Pacesetters, is compressing years of growth into a fraction of the time. They’re spending more, growing faster, and generating more for it. Earlier this year, we explored this shift in “A Coming Age of Reason.” Our latest report puts the data behind that thesis. Download the 2026 State of Scaling: our annual Topline Growth and Operational Efficiency Report: bit.ly/4hcZT0P Disclaimer: bit.ly/3H4dQj0
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Anyone confused by this handshake interaction skipped their U.S. history chapter on the Lyndon B. Johnson treatment
Today's top tech news: SaaS SalesChad BRUTALLY FRAME MOGS EA Doomer Org leader More at 11
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Not the Polymarket founder glazing my brother 😂😂😂
Thrilled to announce Collin McKinney Hill has joined Polymarket as our new VP of Operations. He's coming from DoorDash where he was a GM and ran one of their largest business units. DoorDash is known as one of the most operationally excellent businesses, and that's the rigor Collin's bringing to Polymarket. Before that, he was at Bridgewater where he was Ray Dalio's Chief of Staff. He's also 6'7. And handsome. Some guys just have it all. Onwards.
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Andrew McKinzie retweeted
Wild 24 hours for AI and lots of different proposals have been made. TLDR; the only *tangible* new fact is that OpenAI and Anthropic are going to have embedded 3rd party evaluators from unknown organizations with Dario floating METR as a possibility. Having 3rd party evaluators is smart as there is no Section 230 style liability shield for model outputs and showing a “duty of care” will be important in future litigation. Several internet companies might have gone bankrupt without Section 230 so limiting liability really matters. There are minimal investment implications from this single new fact, but I do think that for anyone who wants a “smoother for longer” cycle then most constraints are good: wafers, watts, real rates and spreads. Excessive regulation is a different matter but I don’t think we are anywhere close to this even if the vector changed over the last 24 hours. To summarize the events: Dario made the most maximalist proposal of the weekend: embedded 3rd party evaluators, a national regulatory regime for models beyond a certain capability/ingredient threshold, a broad international regulatory pact between democracies, stricter limits on compute/distillation for China and then a different international regulatory regime that encompasses China. Before there is a national regulatory regime, he wants a Sherman act waiver so that Anthropic can safely coordinate with OpenAI and other frontier labs without antitrust fears. TBF, this latest proposal is much less maximalist than some of his prior proposals like “Policy on the AI Exponential,” where he advocated for an FAA for AI. I believe he is sincere in his beliefs. And despite all the protestations, all of this would also probably be good for his business over the long-term. Sam agreed that embedded 3rd party evaluators were a good idea and stated they would implement them. Again, this is smart as should help limit future liability. Elon said “Dario is right” and later specified that “Dario is right that there should be some oversight. Peer review of AI by competitors is the right way to start this off.” This would be a MPAA like self-regulatory structure for AI with regular calls between the labs plus a process where each new model is evaluated for safety by competitors for a 1-2 week period before being released. That is *wildly* different from Dario’s proposal and in-line with what David Sacks has been proposing. Elon also stated that nothing was going to slow down open-weight models. Demis said that Dario’s essay was a “step in the right direction.” Dario also said that he was also open to Demis’ idea of a FINRA like self-regulatory structure as part of his proposal. David Sacks had a thoughtful post where he said that Dario and Sam should pace unilaterally, called the antitrust waiver a cartel request and denied that METR was truly independent given their ties to Anthropic. Sriram Krishnan, former White House AI advisor, noted that it would be important to have the 3rd party evaluators come from independent organizations that are not affiliated with any lab, which is basically an indirect statement about the relationship between METR and Anthropic which Sacks was explicit about. Clem from Hugging Face said they were open to being a neutral 3rd party evaluator, which is interesting especially if Jensen was consulted before that post. Alexander Wang from Meta noted that alignment would be an increasing focus going forward. An executive order seems likely after all this and the language in this EO is going to be really important. It is possible to democratize and distribute AI broadly and safely without centralizing it in the hands of a few corporations who might each become more powerful than any single government. I do not want a few humans in control of intelligence. I want us all to have our own intelligences that reflect our own values and human variation in all of its richness. Intelligence distribution over intelligence centralization FTW.
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Andrew McKinzie retweeted
recursive self-improvement is why everything is getting so wild right now the models are becoming sentient
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Massive release by our portfolio company humans& ! 🧡
For AI to work with us, it needs to understand us Today, we're introducing Persimmon, the first large-scale model designed to realistically simulate how people talk and interact
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So proud of my friend Meghana Jayam on this launch!!!
Now available: ChatGPT for Financial Services. This is a tailored ChatGPT Work experience that combines built-in financial data with GPT-6 Astra’s reasoning. Teams can develop research, build financial models, and create customized client materials. openai.com/index/introducing…
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Once valued at $17.5B
Bending Spoons has acquired to acquire Miro for $1.335B. The digital whiteboard platform was once valued at $17.5 Billion back in January 2022.
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