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handwired

by chenglou

Handwired converts ordinary JavaScript code, such as if-else branches, loops and state, into a neural network made of matrix multiplications and ReLU-style operations. The weights are written by hand rather than trained, so the result is exact and can still be differentiated, and it can run on the CPU or on WebGPU.

New and promisingUnder two months old. Expect rough edges and fast changes.

View on GitHubProject website

Stars
2.1k +15 a day
Licence
MIT
Runs on
Your computer
Setup
Technical
Language
TypeScript
Age
15 days

What you can do with it

  • Convert simple JavaScript logic into a matrix-based neural net that gives exact results
  • Run the converted programs in JavaScript or on the GPU through WebGPU for parallel speed
  • Unfreeze the hand-written weights and train them, or attach a fixed program to a larger neural net

Ways a business could use it

  • Speed up heavy search or filtering logic over large datasets by running it in parallel on the GPU
  • Prototype research that combines fixed rule-based logic with trainable models without writing GPU code

Can you use it commercially?

Free to use, change and sell, including in paid products. Keep the copyright notice.

Not legal advice. Read the project's licence file before building a product on it.

Getting it running

Clone the repository, run `bun install`, then `bun start` to launch the demos locally; live demos are also online.

Follow the official instructions in the project README.

Things to check

  • Experimental research project rather than a polished product
  • Only a limited subset of JavaScript can be converted
  • Requires Bun and a WebGPU-capable browser for GPU use

Who's talking about it

Checked 29 Oct 2026. Summary drafted by AI from the project's README.

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