Timber – Ollama for classical ML models, 336x faster than Python
336× faster tree model inference; compiles sklearn/XGBoost to C99, serves like Ollama.
Faster and more efficient uploads of small files to AWS S3 using C# with AoT, RaptorQ over UDP and a serverless backend.
RaptorQ over UDP beats TCP overhead for small S3 uploads, requiring a serverless proxy.
Backend developers handling high-volume small file ingestion
AWS Transfer Acceleration · Rclone · AWS SDK
336× faster tree model inference; compiles sklearn/XGBoost to C99, serves like Ollama.
This is a news link, not a software project or tool.
Bloom filter + AHash pipeline cuts exact dedup from 7:55 to 2:55, 688MB vs 21.9GB RAM.
Python-to-Nim transpiler with ctypes-backed types when Cython and Numba already exist.
JavaScript compiler emitting native x86-64 without LLVM is genuinely clever.
Gorgeous 3D visualization, but most of the 18 systems are concepts, not shipped products.