Dan Feaheny

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Dan Feaheny

Dan Feaheny

@danfeaheny

Data Platforms and Digital Money

City of London, UK เข้าร่วม Eylül 2009
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Elias Al
Elias Al@iam_elias1·
The CEO of Y Combinator just open-sourced his entire AI development setup. And it is already at 72,600 stars on GitHub. Garry Tan runs Y Combinator. He has worked with Coinbase, Instacart, and Rippling when they were two people in a garage. Before that he was one of the first engineers at Palantir. He has seen more startups build product than almost anyone alive. He is now shipping 10,000 to 20,000 lines of production code per day. Part-time. While running YC full-time. In the last 60 days alone: 600,000 lines of production code. 35% of it tests. That number is not a typo. Here is exactly how he does it. He built a system called gstack — 23 AI tools that turn Claude Code into a full engineering team. He open-sourced the entire thing. Free. MIT license. One command to install. And then he posted the quote that explains why he built it: "I don't think I've typed like a line of code probably since December, basically, which is an extremely large change." — Andrej Karpathy, March 2026. When Tan heard that, he wanted to find out how. The result is gstack. Here is what the 23 tools actually do. There is a CEO tool that challenges your product framing before you write a line of code. It does not just approve your idea. It finds the 10-star product hiding inside what you described and pushes back on everything you got wrong. There is an engineering manager that locks architecture, draws ASCII diagrams of data flow, and forces hidden assumptions into the open before anything gets built. There is a designer that rates every design decision on a 0 to 10 scale, explains what a 10 looks like, and edits the plan until it gets there. It also has AI slop detection. It catches the generic AI output that looks fine and ships badly. There is a QA lead that opens a real browser, clicks through your actual app, finds bugs, writes regression tests, and verifies the fix. Not a simulation. A real browser. There is a security officer that runs OWASP Top 10 and STRIDE threat modeling with 17 false positive exclusions built in, so you only see findings that actually matter. There is a release engineer that syncs main, runs tests, audits coverage, pushes, and opens the PR. One command from approved to shipped. And then there is something Tan says was the biggest unlock of all. You can run 10 to 15 of these sprints in parallel. Each one in its own isolated workspace. One agent challenging a product idea. One implementing a feature. One doing QA on staging. Six more on separate branches. All at the same time. Tan's GitHub contribution graph for 2026 is a vertical wall. In 2013, building Bookface at YC from scratch, he made 772 contributions in a year. In 2026, he is at 1,237 — and still climbing. Same person. Different era. The difference is the tooling. One more thing. In the README, Tan quotes the number directly: 140,751 lines added. 362 commits. 115,000 net lines of code. In one week. Part-time. That is not what a solo developer looks like. That is what a team looks like. Except it is one person with 23 AI specialists and a GitHub repo you can clone right now for free. github.com/garrytan/gstack
Elias Al tweet media
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Dan Feaheny รีทวีตแล้ว
The Peg
The Peg@cashequivalence·
🧵1/ In the newly issued CEPR report on "New Global Imbalances", Axa's Giles Moec scrutinizes how stablecoins will impact global imbalances, arguing the US admin has made stablecoins a priority in part to "deal with some of the internal contradictions of the current US macroeconomic agenda".
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il Donaldo Trumpo
il Donaldo Trumpo@PapiTrumpo·
NO WONDER THEY ASKED FOR ANOTHER DAY!!!🤨🤣🤣🤣
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Dan Feaheny รีทวีตแล้ว
Perplexity
Perplexity@perplexity_ai·
Computer now connects with Plaid to link bank accounts, credit cards, and loans. Track spending in detail, build custom budget tools, and visualize your net worth alongside your investment portfolio.
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Dan Feaheny รีทวีตแล้ว
Rohan Paul
Rohan Paul@rohanpaul_ai·
So this is Anthropic’s case for why Mythos is staying off the public shelf, out of fear of what damage it could cause 🤯 Massive leap in capabilities, especially in cybersecurity. It's being used internally at Anthropic and shared only with a small group of vetted partners (Apple, Google, Microsoft, Amazon, NVIDIA, and others) via a new $100M+ initiative called Project Glasswing. - The most concerning power in the report is autonomous exploit chaining, where Claude Mythos Preview does not just find a bug but keeps reasoning until it turns that bug, or 2, 3, or 4 bugs together, into a working path to root, kernel, or remote code execution. - That is a much bigger jump than ordinary bug-finding, because many defenses are built on the hope that even if one flaw exists, turning it into a real attack will still take weeks of rare human skill. - it surfaced zero-days across every major operating system and web browser, including a now-patched 27-year-old OpenBSD bug. - Mythos found a 17-year-old FreeBSD flaw and built a fully autonomous remote root exploit for it, found browser bugs and chained them into JIT heap sprays, sandbox escape, and even kernel write access, and built Linux privilege-escalation chains that bypassed protections like KASLR. - All this happened on fully hardened systems and often with no human help after the initial prompt. - The second disturbing part is accessibility, because Anthropic says even staff with no formal security training could ask for a remote code execution bug overnight and wake up to a working exploit.
Rohan Paul@rohanpaul_ai

Claude Mythos - honestly cannot remember seeing a jump this huge in years. Too bad Anthropic is not releasing it anytime soon, although there is not much pressure when they are still the leader.

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