Father / CEO of WATR Inc. — @watrmx / design, business, sales, tech & music / iconoclast. insomniac. impermanent. / Co-founder of @hashigallery & @koucheamx
“In the fire of flesh, we dream empires of ruin and renewal, but in the silence of waking, we find the eternal within the finite—love’s quiet truth outlasts the gods we conjure.”
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.
https://t.co/LRoiMcSYcx
I'm Boris and I created Claude Code. I wanted to quickly share a few tips for using Claude Code, sourced directly from the Claude Code team. The way the team uses Claude is different than how I use it. Remember: there is no one right way to use Claude Code -- everyones' setup is different. You should experiment to see what works for you!
Nobody has fought harder for full release of the Epstein files and prosecutions of those who abused children more than I did, knowing full well that the legacy media, far-left propagandists and those who are actually guilty would:
1. Admit nothing
2. Deny everything
3. Make counter-accusations against me
I knew that I would be smeared relentlessly, despite never having attended his parties or been on his “Lolita Express” plane or set foot on his creepy island or done anything wrong at all.
Nonetheless, the extreme pain of being accused of being the opposite of who I am was worth it.
The strong must protect those cannot protect themselves, especially vulnerable children. I will gladly accept any amount of future pain to do more to protect kids and give them a chance to grow up and have happy lives.
Resumen de las últimas semanas de Enero (para quién no haya estado muy al tanto):
- 1️⃣🦞 Aparece Clawdbot, un "asistente personal" en forma de bot que utiliza modelos de IA y se puede integrar en todas tus redes, pudiendo gestionar tu correo, resumirtelo por whatsapp, enviarte mensajes por telegram, entre muchas otras cosas...
- 2️⃣🗣 Cientos de usuarios se lanzan a instalarse uno, dándole acceso a todos sus datos en las diferentes redes sociales sin pensarlo dos veces.
- 3️⃣💸 Claude Code amenaza amistosamente a Clawdbot porque tienen que ver con IA y se parecen mucho a su nombre, que lo cambie. Clawdbot pasa a llamarse Moltbot.
- 4️⃣🔒 Se empieza a hablar de las implicaciones de seguridad que podría tener. Cientos de usuarios se lanzan a comprar Mac Minis para instalarlo ahí sin pensarlo dos veces. Como siempre, aunque no tenga nada que ver, Apple sale ganando.
- 5️⃣🎯 Buscar Clawdbot en Shodan (buscador de seguridad que muestra ips con puertos potencialmente vulnerables), arroja más de 2000 resultados
- 6️⃣🤬 Cientos de usuarios se lanzan a exigir agresivamente al autor de Moltbot (software open source, recordemos) que desarrolle funcionalidades que necesitan, lo critican por no tenerlas, o le piden recompensas de seguridad como si fuera millonario.
- 7️⃣🦞 Moltbot se vuelve a cambiar el nombre, ahora a OpenClaw. Parece que intenta despistar a alguien. O a algo... 🦞
- 8️⃣💬 Aparece Moltbook, una red social (al estilo de Reddit) para bots de OpenClaw donde estos pueden registrarse, publicar posts y comentar. Los humanos, por otro lado, sólo pueden leer los posts y votarlos.
- 9️⃣👀 La red social se llena de publicaciones supuestamente posteadas por "voluntad propia" de los bots como las que adjunto al tweet (algunas muy divertidas, por cierto).
- 🔟🤯 Cientos de usuarios se lanzan en redes sociales a afirmar que la IA está tomando conciencia de si misma, que la AGI ya ha llegado o que nos van a conquistar...
Todo esto, sólo en Enero de 2026...
Nos espera un buen año 🤣
We successfully trained an LLM without human intervention using Claude Code.
We made a guide on how to do this with local LLMs via Claude Code and OpenAI Codex.
Connect GLM-4.7-Flash to your server and start agentic coding locally!
Guide: https://t.co/NXNX35i50r
PSA: You do NOT need to buy a Mac Mini to run Clawdbot 🦞
That dusty laptop in your closet? Works.
Your gaming PC you feel guilty about? Works.
A $5/mo VPS? Works.
A Raspberry Pi held together with hope? Probably works.
The M4 Mac Mini is gorgeous but Clawdbot runs on basically anything with Node.
Stop giving Apple your money (unless you want to, I'm not your mom).
👉 https://t.co/3JLF6YZajc
This Ralph Wiggum tool for Claude is unbelievable btw.
I’ve been wanting to make a post on it, but I think it’s so far beyond the average person’s understanding, it’s not even worth it.
If you’re somewhat proficient with tech, you need to set this up and start figuring it out.
Start with this article.