Partner @QuietCapital. Previously founded Pillar (acquired by @Acorns) + early @DoorDash. Tweets about startups, tech, AI, and investing.

New York, NY
Just four months after we co-led @quartermasterai's Series A, they just closed a preempted $140M Series B. The business has been moving that fast... 650 vessels across 25 countries, 77% growth in coverage, and more than 10M square miles of ocean mapped. Proud for @QuietCapital to double down into @SobinNeil and team. We’re all in on Quartermaster becoming the definitive intelligence layer for the ocean 🚢 🚢 🚢
We've raised $140M in new financing, including a $100M Series B led by @insightpartners , with participation from @overmatchvc, and returning investors @firstround, @QuietCapital, @SteelAtlasVC, TMV and more, plus a $40M venture debt facility from @Stifel, to grow the largest pro-mariner data network in the world. Read more from TechCrunch's @sokane1: techcrunch.com/2026/09/28/ma…
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Proud to partner with @thematthewosman, @FabioZB_I, @vqctran, and the rest of the Polyphron team. AI can generate new drugs and biological hypotheses far faster than we can validate them, and today’s cell assays and animal models often fail to predict what will happen in humans. Polyphron is building an automated foundry that grows living human tissue at scale, creating the physical verification layer AI biology needs to test interventions and learn from reality. If you’re interested in the frontier of AI and biology, check out more below
Today we’re announcing we’ve raised $20M in seed financing led by @QuietCapital , with participation from @GradientVC , @haystackvc and @CompoundVC and other amazing folks to build the verification layer for AI-driven biology. We are also delighted to be welcoming @vqctran who is joining us from @GoogleDeepMind as a co-founder. AI is not going to cure all diseases without a verification substrate - a scalable environment where models can test predictions and learn against living human biology. AI is becoming increasingly capable of generating biological hypotheses, therapeutic candidates and experimental designs. But generating ideas is advancing much faster than our ability to test what those ideas will actually do in human biology. Existing systems force a tradeoff: the most biologically relevant approaches are slow and expensive, while faster in vitro and computational systems often lack the fidelity needed to capture human response. Polyphron’s bet is that tissue is the fastest, cheapest, most parallelizable verification substrate that still contains the biology that matters and we believe the path to biological superintelligence runs through closed-loop interaction with these living and simulated human systems. Thank you to @axios for covering the announcement. Link to our new website in the thread.
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No one alive has done more for human productivity than @elonmusk. Right now I'm sitting in my Tesla. I haven't touched the wheel since I got in. FSD is driving me home. I'm having a voice discussion with Grok about quantum tech as it drives me. It’s seamless and near zero latency. In the background Grok Bot is running work and personal tasks. Starlink is up at my new house. I use Grok more than OpenAI or Anthropic now. Tesla, SpaceX, xAI. They've taken over every part of my life. I can't wait to see what they do next.
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Disagree with Auren here. Moats are alive and well. There are just fewer moats than before. These are the ones that matter in this new age
there are no more moats anymore. moats are dead. was talking to a friend of mine who's a CEO of a rapidly growing startup (~$1B revenue). we're small investors. He told me that he has only taken one one-week vacation in the last eight years of his startup. I was like, "Hey this is crazy. You're gonna burn out. This is pretty serious." he said, "Auren, I don't know what to do. We don't have no moat." am like, "What are you talking about? The business is going great!" he said, "We have incredible competitors. We sell AI products and so we're selling to the smartest people in the world. If we don't have the best product that week, they won't buy us. If we don't have the best product for two weeks, our customers will churn. We don't have a moat." I started thinking about it: who does have a moat? There are just no moats anymore. Nobody has a moat. Everyone will switch their software providers in a heartbeat for better product or for cheaper product or for faster product. Anyone will switch. We looked at our 200 companies at Flex Capital and how they're buying software and AI services today. Almost all of their vendors are on month-to-month contracts or on usage-based contracts. That means they can switch immediately. The reason they have everyone on month-to-month is that they have no idea if they're going to be using those tools two months from now. They may not even be using those tools two weeks from now. Everything is changing so fast all the time. The only moat you have in software is that you have the best product. There are just no other moats. It used to be back in the day that you have a mediocre product and you'd be using it for years. we just dealt with all these of mediocre software systems, mediocre cloud providers, mediocre data providers, mediocre APIs. we dealt with it because the switching costs are really hard. Nowadays it's really easy to change software. It's really easy to change APIs. it's really easy to change AI infrastructure. It's super easy. You can change it in a heartbeat and every other vendor will help you switch. Of course, your AI tools will help you switch as well. All these things that used to give very high customer lock-in just don't exist anymore and so they're just no more moats. Moats are dead.  you just need to work insane hours all the time because the only thing you have is your product. goodbye moat, goodbye predictable revenues, goodbye 2010s era.
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The AI Talent Paradox: AI was supposed to replace talent. Instead, it has made talent scarcer
It’s ironic that in this post AI world, when I talk to any early stage founder and ask them what the bottleneck is in their business, the response nearly 100% of the time is great people.
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Michael Bloch retweeted
Excited to announce our agreement to acquire @taalas_inc. Phenomenal team working at the bleeding edge of AI inference. Looking forward to all we will do together.
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Huge congrats to Taalas on joining AMD!! @taalas_inc built silicon around the model to make AI inference dramatically faster, cheaper, and more efficient. Bringing that approach inside AMD will be a massive unlock for the next era of AI compute. Proud that @QuietCapital has partnered with Taalas from the earliest days and through every round since. Can’t wait to see what comes next
We are pleased to share that Taalas has agreed to join AMD. We built Taalas to rethink AI inference from the ground up: hardware designed around the model, rather than the other way around. The result is the world's fastest and most cost-effective inference silicon. Joining AMD gives us the scale, engineering resources, and global reach to bring that work to the world – and to accelerate what comes after it. We are also excited to build on AMD's long-standing presence in Canada and its continued commitment to the country's AI ecosystem. Many of us grew up at AMD Canada, and are looking forward to coming home. We are proud of what this team has built, and even more excited about what comes next. ir.amd.com/news-events/press…
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Only two themes matter in the next decade of VC: AI: chips, compute, infra, and apps AD: American Dynamism across energy, aerospace, defense, industrials, manufacturing, and infrastructure The biggest companies will be both AI + AD
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Great investors think in probabilities and possibilities Great founders think in probabilities and possibilities The best do both
Investors think in probabilities Founders think in possibilities
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Michael Bloch retweeted
Many companies will announce a factory by standing in suits and shoveling some dirt. That always seemed strange to me, so we built the factory, got it running, and now we’re ready to announce it. We've raised a $1B Series D at a $13B valuation to expand to more homes, and launching Base Core; built here in Texas. 1/ (more pics in 🧵)
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Spent the weekend playing around with Grok Imagine. It's absurdly good. People are sleeping on @spacexai. We're going to need a lot more compute.
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Michael Bloch retweeted
Data centers are good for America
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Michael Bloch retweeted
As engineering, product, design, DS, etc. melt into a new kind of role, I was reflecting on what roles might look like in the future. For example, when I look at the Claude Code team I see what I think is five archetypes: 1. Prototyper: comes up with brand new ideas; churns out many ideas, most of which don't ship 2. Builder: quickly turns a prototype/idea into production-grade product/infra 3. Sweeper: cleans up the UI, simplifies the code and system, unships, optimizes performance 4. Grower: takes a product that has been built and iterates on it to improve Product-Market Fit 5. Maintainer: owns a mature system to make it secure, reliable, fast, and efficient as it scales Many people span across 2 roles, and sometimes 3 roles. I also notice that these roles are not really tied to job function -- eg. across Anthropic, some designers match category 1, some 2, some 3; same for engineers, PM, DS. A healthy team needs a mix of these, depending on the product: - A product that is new and pre-PMF needs people that are strong at 1+2+3 - A product that is growing and has found PMF needs 2+3+4 and some 5 - A product that has strong PMF needs 3+4+5 and some 2 Maybe product roles of the future will look more like this, and less like the domain-specific roles of today?
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The mid-game is selling AI labor at human-labor prices. The end-game is using that labor to build the network, context, and trust that become the real company. Great piece from @jrwoodbridge on what “post-agent companies” might actually look like.
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Michael Bloch retweeted
The aging research will continue. Thank you @foundersfund for leading, @ThriveCapital, @Greenoaks and @QuietCapital for joining and all our insiders for coming back.
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Strong chance this is Situational Awareness
This $58 million $MU trade I posted 38 days ago is now worth over $1 BILLION Easily the craziest trade I’ve ever seen
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Packy cooked with this one. Abundance creates wealth. Scarcity captures it. This paragraph nails it: a company can be coveted in private markets and ordinary the moment it becomes a ticker. Same company. Different asset.
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