HN – Solving poker in custom WebGPU kernels

I wanted to build a poker solver that I could host for ~free. This meant running client-side, where the best browser technology is WebGPU. The tensor library I wanted did not exist, but in the LLM era we sometimes don't need libraries at all. I had Codex turn my thousands of lines of PyTorch code into custom WebGPU kernels with parity tests. Codex then spent days optimizing those kernels.

You can use the solver at https://holdem.computer, and the source is at https://github.com/phulin/poker2.

Solving poker in custom WebGPU kernels

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