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Write JavaScript faster using deep learning

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  15. 15FA
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  19. 19JA

    This is a side project I've been working on while learning Jax. I noticed that a bunch of the neural net math looked like it would work well in a lisp syntax because most of the data flows through layers in a "functional" manner. Data is threaded through one layer at a time, each layer composing with the previous layer. Jixp is designed as a learning tool for myself while learning Jax to toy around with different shapes/styles of models. I used this to train a 4m parameter model on my Obsidian vault to see if I could use it for recall which partially worked. ```lisp (let-dim (d 256)…

    Jul 2026 · github.com

  20. 20ME

    I read Markdown all day, mostly Claude .md, and other AI outputs. Every app I have tried felt janky or too much work to just read an md file. I just wanted to open a .md file and read it the way Preview opens a PDF. So I built Kite, a Markdown reader for Mac. It has QuickLook just like Preview and I have baked in features that help people reading lot's of AI markdowns. It one-time purchase, no subscription. I put it on TestFlight so you can try it before paying anything. I would really like this crowd to try to break it. Tell me which files render wrong,what feels off, what is missing.…

    Jun 2026 · kitemarkdown.com

  21. 21MC

    Hi HN, I'm excited to introduce Mixlayer, a platform I've been working on over the past 6 months that allows you to code and deploy prompts using simple JavaScript functions. Mixlayer recreates the developer experience of using LLMs locally without having to do all of the local setup yourself. I originally came up with this idea when using LLMs on my MacBook and thought it’d be cool to build a product that makes it easy for everyone. It compiles your code to a WASM binary and runs it alongside a custom inference stack I wrote in Rust. When you integrate LLMs in this way, your code and the…

    2024 · mixlayer.com

  22. 22PT
  23. 23BA

    I built CodeLens.AI - a tool that compares how 6 top LLMs (GPT-5, Claude Opus 4.1, Claude Sonnet 4.5, Grok 4, Gemini 2.5 Pro, o3) handle your actual code tasks. How it works: - Upload code + describe task (refactoring, security review, architecture, etc.) - All 6 models run in parallel (~2-5 min) - See side-by-side comparison with AI judge scores - Community votes on winners (blind voting) - Each evaluation gets reflected in the overall AI model leaderboard, showing us best ones Why I built this: Existing benchmarks (HumanEval, SWE-Bench) don't reflect real-world developer tasks. I wanted to…

    Oct 2025 · codelens.ai

  24. 24LJ

    I've been working for about 8 months on http://www.Learneroo.com, a site to teach programming and more through challenges. I created the site and all the content on it, and I'm looking for some feedback. Thanks!

    2013

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