Shirish retweeted
The cobra effect is one of the more interesting phenomena in startups. Once you see it, you start noticing it everywhere, in your team, your metrics and now your AI agents.
It's basically when you reward people for hitting a number, and they find a way to hit it that makes the real problem worse.
The name "Cobra Effect" comes from a story about Delhi under British rule. There were too many cobras in the city, so the government offered a reward for every dead cobra people brought in.
Instead of hunting them, people started breeding cobras so they could kill them and collect the money!
When the government found out and ended the program, the breeders let their snakes go, and Delhi ended up with more cobras than before!
I'm noticing that AI agents are making this more common. Basically, an agent will chase whatever number you give it, all day, without asking why. Tell it to make the tests pass and it might rewrite the tests. Tell it to close support tickets faster and it might close them without solving anything. It happens.
The best startups have already figured out the fix with people. Airbnb tracks bookings and host cancellations together. HubSpot takes back sales commission when a customer churns early.
The video breaks down how they did it, and it's the same playbook you'll want for your agents.
Shirish retweeted
Get addicted to:
- 90 minutes of morning silence
- Reading dead philosophers instead of hot takes
- Handwriting your thoughts on actual paper
- High-friction focus
- Nervous system regulation
Welcome to November. Let everyone else drown in noise.
Shirish retweeted
Game theory teaches: never enter a game you haven’t studied. Never show your hand before the money is on the table. And never play to be liked. Play to build so much leverage that the rules eventually stop applying to you entirely. Most people lose not because they are outworked but because they are outplayed. They do not understand the game they are in, they reveal too much too soon and they care more about approval than position. Learn the game first. Move quietly. Build until you have enough leverage to write your own rules.
Today i hit my first 1000$ revenue made by my apps. My first ever sale was in May 2026 and 5 months later i’ve hit this milestone!
I know it’s not that big a deal on twitter. Ppl seem to be making 6 figures in weeks from newly launched apps everywhere.
But after being a wagie for 13 years, zero marketing skills and zero money made online, i learned everything from first principles to get here.
I was a React dev at Github, comfortable, writing code by hand. And now i’m an app dev and an online content machine. Just me and my 100$ Claude sub. Shoutout to the 20$ Chatgpt which goes quite hard too.
Building stuff online and getting users for it is hard work. Many ppl don’t make any money for a long time, but it’s the twitter community here that shares freely and shows me what’s possible every single day that’s actually made it possible.
The best thing about this is that i’ve enjoyed every second of it, have not burned out and have gotten really really hungry! I know that the next 1000$ is going to be much faster, and I know that there’s no turning back for me. I will figure this out and i will craft a life where i’m going to sit my ass at home, carve out a business and be present for my kids.
It’s just the beginning and we gonna keep going. The moon just keeps getting closer and closer 🫶
Shirish retweeted
in a lot of ways, Reylo obviates the entire "ORMs vs SQL" debate
✅ zero codegen
✅ fully inferred: totally DRY
✅ maximum expressiveness: CTEs, window fns, subqueries...the full power of SQL
and with agents, it doesn't matter that SQL syntax is a monstrosity 😅
Shirish retweeted
I’m looking for my next role.
I created SWC (swc.rs), the Rust-based open-source transpiler used by Next.js, Rspack, Node.js’s amaro, Parcel 2, and other projects.
I maintained Next.js and Turbopack at Vercel and previously worked with Deno.
My expertise is in developer tooling and performance optimization. I enjoy digging deep into difficult technical problems, and I’m open to new challenges across fields.
I prefer roles that let me work remotely from Korea. If you’d like to work together or know a team that could be a good fit, please DM me.
Shirish retweeted
Replying to @agrit_tiwari @rbkayz
try Reylo! I've been working on it for months and it's quite stable at this point. waiting for TypeScript 7.1 to go stable before I "officially" release it but I'm using it in production already reylo.dev
Shirish retweeted
SQLite is the most used database in the world, and its biggest weakness has always been the same: it runs on one machine, and if that machine dies, your data is gone. The usual fix is Litestream, but that's a Go binary you have to babysit.
So we (@platformatic) rewrote it in TypeScript.
Replying to @Recursive_SI
@Recursive_SI shipped its first model, Flint! Exciting to see they did extensive RL training on the Pi harness, so it works well out of the box.
40B MoE (2.5B active) for fast local coding. Apache 2.0.
Available now for free in Pi via Radius.
Introducing Flint, @Recursive_SI’s first model: a fast local coding model built with our automated research system, the Eureka Machine.
• Best-in-class fast local coding
• Up to 2x faster than comparable models: 125+ tokens/sec on a MacBook Pro, 150+ on RTX Spark
• Built from scratch in under 4 months
Private, unmetered intelligence on your own machine. Open weights available now on @huggingface, run it locally on your favorite framework or try it for free on @opencode or @pidotdev.
Shirish retweeted
Introducing Flint, @Recursive_SI’s first model: a fast local coding model built with our automated research system, the Eureka Machine.
• Best-in-class fast local coding
• Up to 2x faster than comparable models: 125+ tokens/sec on a MacBook Pro, 150+ on RTX Spark
• Built from scratch in under 4 months
Private, unmetered intelligence on your own machine. Open weights available now on @huggingface, run it locally on your favorite framework or try it for free on @opencode or @pidotdev.
Thanks @_alejandroao for all the effort you put into helping others understand what we build
i had opus 5.5 distill this 30 min lecture about pi-durable into a 7 min vid with my voice.
> qwen3 tts could do a better job cloning my voice
> the video looks great. i'm working on industrializing these kind of explanation videos.
good starting point, but i still recommend watching the full lecture for a more detailed explainer.
Shirish retweeted
🚀 Introducing DeepInfer, our in-house inference framework, now fully open source!
Powering DeepSeek-V4.1-Flash at scale with high throughput and low latency. We’re sharing our production stack to help the community lower compute costs, reduce energy use, and make AI more affordable.
🔗 github.com/deepseek-ai/DeepI…
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