Thank you so much to all of our beta testers! Slow React websites will soon be a thing of the past. Have feedback? Let us know! million.dev/chat 💜 The Million team, – Aiden, John, Nisarg, Xinyao, Alexis

The next stage of Million Lint is in production. Soon, we will be able to detect slow user journeys and automatically optimize the corresponding code. Want a demo? Let's call! cal.com/aiden

Million Lint also detects when you misuse contexts. Here's it optimizing useContext with use-context-selector:

Got a slow interaction? Million Lint saves events and helps you figure out exactly where it was triggered:

Million Lint can find and fix non-trivial performance problems. Here's it memoizing a Redux selector with reselect:

2 months ago, we shipped our public beta. Today, I'm happy to announce Million Lint 1.0-rc is out!! Read more: million.dev/blog/lint-rc Try it now! npx million@latest

we're almost ready! announcement TOMORROW at 6 am

2 months. 11,000+ beta testers. May 20, 6 AM pacific – @milliondotjs

you: our lighthouse score is 39 – this performance refactor is gonna take weeks me:

hi! @milliondotjs (yc w24) is looking for 2 in person summer interns who are interested in building automatic code optimization. if you like ml/pl / writing compilers / nerding out on performance, hmu!

hi, Million (@milliondotjs) has $1.3M in gpu credits that expires in a year. we are looking to fund experiments for: - determining the most optimal training curriculum, reward modeler, or model merging combination with evolutionary algorithms (any domain ok) - a diffusion text decoder (for a text-JEPA) - training a model to use theorem provers (lean, isabelle) with proofs/tactics search to solve IMO problems (what's the next domain after LeanDojo, FunSearch, AlphaGeometry? how to improve domain/proof-specific tactics search?) - compressing a learned functions library with llms (LILO generated docs, how to create higher order abstractions guided by a deterministic graph ranker?) - using GFlowNet to improve llm reasoning, with a focus on code optimization problems (ref: @edwardjhu "Amortizing Intractable Inference in LLMs") - scaling energy transformers (ref: @Ben_Hoov) please DM or email john @ million . dev (@johnjyang) if these questions interest you, Million is also hiring for 1-2 talented ML engineers! we are focused on code optimization, but broadly curious about topics in swe and theorem proving automations. Open to grants, part-time or full-time work

Compilers are the New APMs My new investment thesis that what we call APMs will transform from runtime observability tools into smart compilers. (an ode to Tom Dale)

it's so cool to see @housecor feature Million Lint in his Performance Checklist – we literally used it to create Million Lint! thank you cory 🫶

The future of linting is not quite what I expected. Million Lint video live now!

link: redlib.catsarch.com/r/reactjs/comment…

we just launched on Million Lint on reddit! (go upvote!)

buildinpublic day3 - 支持管理自己创建的 agents 了 - 优化了移动端样式 现在移动端使用友好！ - 接入了 @milliondotjs 前端渲染速度明显提升 - 优化了几处重复接口调用 - 修复了 n 个 bug brainstorm.cool 下一代AI搜索引擎 #buildinpublic

YC W24's @milliondotjs identifies slow React code and provides suggestions to fix it. It's like Grammarly, but for performance. ycombinator.com/launches/KWq… Congrats on the launch, @aidenybai, @nisargptel, and @johnjyang!

Million Lint - @aidenybai - VSCode extension that helps you keep your React code fast - Simpler to use than React Devtools flame graphs - Using compiler / instrumentation / dynamic analysis