Hey Product Hunt! 👋 My co-creator u84u (https://github.com/u84u) and I are thrilled to introduce our new project, which bridges the gap between modern AI preprocessing and traditional encoding. Traditional compression tools like gzip or LZMA operate "blindly," wasting massive CPU cycles scanning data blocks without any structural understanding. Our tool changes this by using Byte Pair Encoding (BPE)—the exact tokenization routine powering LLMs—as an intelligent, high-speed pre-filter. By breaking data down into optimized semantic chunks before it even hits the compression engine, we drastically reduce entropy, achieve much tighter compression ratios for source code and logs, and cut down heavy computational overhead. It works as a seamless, drop-in layer for your existing pipelines, and both u84u and I will be hanging out in the comments all day to hear your feedback on the architecture and benchmarks! 🚀

Parmar

AI pre-filter optimizing LZMA data compression.

AI pre-filter optimizing LZMA data compression.