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kossisoroyce/timber

Ollama for classical ML models. AOT compiler that turns XGBoost, LightGBM, scikit-learn, CatBoost & ONNX models into native C99 inference code. One command to…

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From the README

Timber Compile classical ML models to native C. Serve them in microseconds.

Setup prompt

Paste this into Cursor or Claude Code. It only includes install lines found in the README, and it asks the agent to review the code first.

Set up the GitHub repository kossisoroyce/timber (Ollama for classical ML models. AOT compiler that turns XGBoost, LightGBM, scikit-learn, CatBoost & ONNX models into native C99 inference code. One command to load, one command to serve. 336x faster than Python inference.).
Repository: https://github.com/kossisoroyce/timber

Official install commands found in the README:
pip install timber-compiler
curl -s http://localhost:11434/api/predict \

Clone the repository and follow those steps. Do not invent package names or extra install commands.
Review the code before running anything.

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HN @kossisoroyceMar 2, 2026

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