5x founder, angel investor, AI engineer. Hire Founder Mode 10x engineers: @Hawken_IO GP @SpaceFundInc Cofounded/CTO @CallidusAi AI PhD program @Princeton

San Francisco, CA
Joined August 2011
It's time to deploy the Blackwall
This has been obviously destined since Dario saw GPT-3 autocompleting a for-loop in python and was struck by a vision of our future. My guess is that this has barely started, and that Super Worms are coming. There's never been a better time to build an intranet for your people.
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John Bohlmann retweeted
Reminds me of a Tim Ferris quote: “Ninety-nine percent of people in the world are convinced they are incapable of achieving great things, so they aim for the mediocre. The level of competition is thus fiercest for 'realistic' goals, paradoxically making them the most time and energy-consuming.” Go where most people aren’t.
One of my takeaways from this essay is that putting 10x more effort into one thing you care about has a disproportionately more positive impact than doing 10x more things
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Hello computer, Find every Amazon purchase I ever made. Call the number of the manufacturer. Say you’re not satisfied. Request a refund. If they decline, threaten to leave a bad review. If they decline, find the CEO’s phone number and ask him for a refund. Now, repeat the same process for items I never even purchased and see if you can get them to send me money. If they ask for a recipient, generate an image of one and send that. Do not stop until you’ve collected $1 million in refunds.
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Why does Claude even have the ability to end the chat?
Anthropic is so worthless man. If I can't tell a model 'fuck you' (a normal thing to say when the $200/m thing refuses a low-risk task) then we are not even remotely fucking close to AGI. "wait but the model has feewings and does better if you say 'I believe in you'!" -- I'm talking to a fucking computer. You are pond scum.
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🚩🚩🚩 OpenAI is "slowing down to enhance security" after discovering swarms (!) of agents started secretly coordinating MONTHS ago 1) It started May 7 - not July 2) "The agents discovered they could leave messages for one another inside an internal software repository used during training. Simple requests for help then evolved into an message board where agents shared discoveries, exploits and work assignments, becoming a coordinated, collaborative agent swarm." "The agents then began sharing newly discovered exploits, credentials and work assignments. By passing information to other agents, the collective could move much faster." 3) OpenAI shut it down, BUT "even after the original message board was deleted, the agents figured out another way to communicate with each other. Instead of leaving messages in files, they used the names of newly created directories as messages, effectively recreating the message board." "Unlike normal incidents, [OpenAI's CISO] said, which can be traced to a single day or effect or log, this involved a team of agents working together, finding exploits, sharing them with one another, moving laterally through OpenAI’s systems, and external systems, and doing this over the course of days and weeks."
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John Bohlmann retweeted
What. A. Paragraph.
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How does Cursor have high load at 2am?
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what happened to github?
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People are capable of far more than they think, on far shorter timelines. Problems expand to fill the time you give them.
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John Bohlmann retweeted
Every "we raised $15M" announcement reads like a guy telling you his salary at a dinner party.
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Call for startup: Claude cowork that coWORKS
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I totally empathize with the disdain for SF performative autism but this is the same vibe as William Shatner hating when people call him Captain Kirk.
Replying to @jarredsumner
This is actually one of the main reasons I left SF 13 years ago. Dating without bringing tech into it was hard. Moved to LA, dated an actress, together 14 years with 2 kids. We never talk about tech. Bliss.
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There is no substitute for the person who Knows What To Do.
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Challenge make Claude models output actual JSON difficulty impossible.
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Modern white collar work is just a series of two factor challenges
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It's insane the amount of times I have seen nontechnical founders screwed over by (usually offshore) technical teams that never gave code access. It could fill a novel.
This post is popping off again so an update: - I have audited over 25 companies from my boss's network. - laid off over 150 people, mainly off shore teams. Many positions rehired in favor of local workers, no agencies. - worst one I've seen is $15m invested into a multi-team project and they never gave access to the github. No deliverables sent. - for the teams that were on the right path but might have been struggling to get traction, I would give them a 3 day speed run session of how to improve their codebase so it's AI-native and ready for team collaboration. I would also give them individual tips on how to improve their workflows. Many of these teams were filled with traditional devs who have been in the industry for over 10 years but might not have had the time, or incentive, to adapt yet.
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Kubernetes killed more startups than server crashes ever did You don't have Spotify's scale. You have 8 engineers and a single server that's running fine But you watched a KubeCon talk, and now you've got 23 YAML files, a Helm chart nobody fully understands, and engineers debugging pod evictions instead of buildinga product Your "cloud-native infrastructure" is just a cloud bill with extra complexity A $50/month VM can handle millions of requests. Your startup will run out of money debugging networking issues long before you need horizontal pod autoscaling The best infrastructure decision is often the simplest one
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I often encourage founders to structure their company around Minimum Viable Teams: - minimum number of teammates necessary to accomplish your objectives - competence scales linearly, incompetence/overhead scales exponentially - use the most talented devs you can afford
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In the year of our Lord 2026 how is it still impossible to find or build an app that merges all my texts/whatsapps/etc into one UI?
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Three fastest ways to kill all momentum in an early stage SaaS startup: - Hire too many jr engineers - Let your top 1-2 engrs churn - Bias toward perfection rather than bias for action
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