1,000,000,000 rows of data. No hand-tuning. Just an agent, a benchmark, and a budget.

The 1 Billion Row Challenge is simple on paper: read a file with 1B rows of weather station measurements, compute min/mean/max per station, as fast as possible. In Python, a naive solution takes minutes. The best human-optimized ones use memory-mapped files, multiprocessing, and numpy.

I'm not optimizing it by hand. I'm giving it to Hone — and letting it figure it out.

Hone is now on PyPI. Install it with pip install hone-ai.

This is a living document. I'll update it as each run completes. Follow the code at laxmena/hone-1brc.