Alexis Ohanian 🗽

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Alexis Ohanian 🗽

Alexis Ohanian 🗽

@alexisohanian

Business Dad: @SevenSevenSix ♻️ @776Foundation Owner 🏃🏿‍♀️@athlos 🦁 @ChelseaFCW ⛳ @weareLAGC 🏌🏾‍♀️ @weareLAGCW 🪽 @weareangelcity 🏐 @lovblosangeles

Florida Katılım Mart 2007
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Alexis Ohanian 🗽
Alexis Ohanian 🗽@alexisohanian·
I’ll never stop uppy-ing you.
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Hugo Amsellem
Hugo Amsellem@HugoAmsellem·
i don't know with what AI weapons VC World War will be fought - but i know that post-AGI it will be fought w/ strong handshakes and long dinners. every fund will have the same algo. every model will process the same 10,000 companies overnight. the information asymmetry that built this industry mostly disappears - and then we're back to the oldest game in the world - trust. the founders worth backing don't care which VC score them highest - they'll pick the person they actually trust - and the concentric trust network that person brings. when intelligence is a commodity, the only edge is who you know and who trusts you enough to show up when it matters. as a VC you've probably already felt this in your own inbound. it's splitting into two things: a warm intro from someone you trust, or an AI-generated cold email that makes no sense. there's no middle anymore. that's the future of the whole industry. trust is the one thing you can't abstract away from venture - can't tokenize it - can't scale it with an API. the best pre-seed investors in five years will be the ones with the best dinners, the best relationships, and the deepest and most genuine appreciation for maniacs. the machines will do the math. the humans will do the handshake.
GEOFF WOO@geoffreywoo

the venture capital bloodbath is coming and most vcs have zero idea agents will replace 90% of what associates and principals actually do: • deal sourcing through network analysis • due diligence via automated data mining • portfolio monitoring with real-time metrics • pattern matching across 10,000x more deals what exactly are you getting paid for when an agent can analyze every startup in your sector in 3 minutes? the entire industry is built on information asymmetry that ai just eliminated most funds will become algorithmic within 24 months the only vcs who survive are the ones who can actually build companies, not just write checks and send intros

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Lillian
Lillian@LillzTIL·
So much Athletics on right now that we cannot watch live. What a fantastic sport!
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Alexis Ohanian 🗽
Alexis Ohanian 🗽@alexisohanian·
Blessed Sunday with my girls. Also I nailed this burnt basque cheesecake the second time around
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Alexis Ohanian 🗽
Alexis Ohanian 🗽@alexisohanian·
Ranky@itsrealranky

I've been following @Starcloud_ since they got into YC. The idea was audacious: build data centers in space. Unlimited solar power, passive cooling into the vacuum of space, no permitting battles, no land acquisition wars. Just pure compute, orbiting the Earth. When they first announced it, people said it was impossible. Go read the old comments on X, they got roasted. But here's what happened: Founded in January 2024. By November 2025, they launched Starcloud-1, a 130-pound satellite with an NVIDIA H100 on board. The most powerful GPU compute ever operated in orbit. They trained an LLM in space. A first. They ran Gemini's Gemma on a spacecraft. Another first. All of this with a team of ~13 people. Now they just raised a $170M Series A at a $1.1 billion valuation, becoming the fastest unicorn in Y Combinator history, just 17 months after Demo Day. The round was led by Benchmark and EQT Ventures (the world's second-largest PE fund, running 70+ data centers). Total raised: $200M. And it's not just them anymore. This space (literally) is exploding: → Aetherflux is reportedly raising at a $2B valuation → SpaceX filed with the FCC for up to 1 million data center satellites → Google is exploring it with Project Suncatcher → Blue Origin has expressed similar ambitions The thesis is simple: the AI revolution is colliding with the physical limits of Earth's energy grid. We're running out of places to build. Space has unlimited solar energy and near-infinite cooling. The hard part was always getting there, and Starcloud made that pathway real. Next up: Starcloud-2 launches later this year with NVIDIA's Blackwell B200 chip, 100x the power generation of Starcloud-1, and the largest commercial deployable radiator ever sent to space. Then Starcloud-3: a Starship-class spacecraft designed to be cost-competitive with terrestrial data centers at ~$0.05/kWh. The thing that always fascinated me about space is the sheer scale of power sitting up there, completely unused. The hardest part isn't the power, it's getting there. And once you solve that, the economics might flip entirely. And beyond all of this, there's something that makes me especially proud, Yaseem Rana, a Nepalese origin MIT grad, is on this team as a Mechanical Engineer, helping build these satellites. Congratulations to the entire @Starcloud_ team and @PhilipJohnston for pulling this off. What you've built with such a small team in such a short time is genuinely remarkable. techcrunch.com/2026/03/30/sta…

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Ranky
Ranky@itsrealranky·
I've been following @Starcloud_ since they got into YC. The idea was audacious: build data centers in space. Unlimited solar power, passive cooling into the vacuum of space, no permitting battles, no land acquisition wars. Just pure compute, orbiting the Earth. When they first announced it, people said it was impossible. Go read the old comments on X, they got roasted. But here's what happened: Founded in January 2024. By November 2025, they launched Starcloud-1, a 130-pound satellite with an NVIDIA H100 on board. The most powerful GPU compute ever operated in orbit. They trained an LLM in space. A first. They ran Gemini's Gemma on a spacecraft. Another first. All of this with a team of ~13 people. Now they just raised a $170M Series A at a $1.1 billion valuation, becoming the fastest unicorn in Y Combinator history, just 17 months after Demo Day. The round was led by Benchmark and EQT Ventures (the world's second-largest PE fund, running 70+ data centers). Total raised: $200M. And it's not just them anymore. This space (literally) is exploding: → Aetherflux is reportedly raising at a $2B valuation → SpaceX filed with the FCC for up to 1 million data center satellites → Google is exploring it with Project Suncatcher → Blue Origin has expressed similar ambitions The thesis is simple: the AI revolution is colliding with the physical limits of Earth's energy grid. We're running out of places to build. Space has unlimited solar energy and near-infinite cooling. The hard part was always getting there, and Starcloud made that pathway real. Next up: Starcloud-2 launches later this year with NVIDIA's Blackwell B200 chip, 100x the power generation of Starcloud-1, and the largest commercial deployable radiator ever sent to space. Then Starcloud-3: a Starship-class spacecraft designed to be cost-competitive with terrestrial data centers at ~$0.05/kWh. The thing that always fascinated me about space is the sheer scale of power sitting up there, completely unused. The hardest part isn't the power, it's getting there. And once you solve that, the economics might flip entirely. And beyond all of this, there's something that makes me especially proud, Yaseem Rana, a Nepalese origin MIT grad, is on this team as a Mechanical Engineer, helping build these satellites. Congratulations to the entire @Starcloud_ team and @PhilipJohnston for pulling this off. What you've built with such a small team in such a short time is genuinely remarkable. techcrunch.com/2026/03/30/sta…
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The Culturist
The Culturist@the_culturist_·
Imagine starting with a block of stone and ending up with this...
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Kevin Wimer
Kevin Wimer@kevinace·
@alexisohanian What do you find the most rewarding to grow? (Time/effort in vs quantity/taste out)
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Philip Johnston
Philip Johnston@PhilipJohnston·
Chamath is right. “It’s the beginning, of the beginning, of the beginning” of the space industry. @chamath
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Brian Armstrong
Brian Armstrong@brian_armstrong·
Some of the most underinvested areas in frontier biology that could accelerate civilizational progress: - Cheap, large-scale DNA synthesis (writing entire chromosomes or full organisms) - Real-time, non-destructive RNA sequencing in living cells - Highly accurate AI-powered polygenic scores for complex traits (disease risk, cognition, longevity) → enabling full genome design - Ultra-precise, multiplex genome editing (far beyond CRISPR) with minimal off-target effects, scalable across millions of cells - Safe, efficient, tissue-specific in vivo delivery systems - Safe and effective human germline engineering - Accelerated clinical trials via testing on decedents (with consent) - Next-gen human enhancement: muscle, cognition, mood — beyond GLP-1s - Ectogenesis / artificial wombs Who’s actually building in these areas? Drop names, companies, or researchers below 👇
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Alexis Ohanian 🗽
Alexis Ohanian 🗽@alexisohanian·
Once a year. This year I got the UK edition. Happy Easter weekend
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Alexis Ohanian 🗽
Alexis Ohanian 🗽@alexisohanian·
I thought founder-led comms was important 20 years ago, but it's become even MORE important now in the age of AI and infinite distraction. I used to get flak from my boards about how public I was—now it's tablestakes. Hard to imagine it becoming less important in the next 10yrs.
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XShadesX
XShadesX@TheRealXShadesX·
@alexisohanian I wouldn’t bet against Nike. Then proceeds to say not financial advice. Total dipshit
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