Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.
Kiln-AI/Kiln is drawing steady momentum at +2.1 stars/day (45th percentile in the tracked cohort), for a momentum score of 37.3/100. A recent release is helping fuel the run.
Reconstructed from 237 snapshots — the time-series GitHub’s API doesn’t expose.
Release count rose to 36.
Release count rose to 35.
Release count rose to 34.
Live score, refreshed every 6 hours. Links back to this page.
[](https://repoclimb.com/repo/Kiln-AI/Kiln)Low breakout odds over the next 14 days, led by push recency (98th pctl). Confidence is high given the available history.
Transparent heuristic · logged for model training
Percentile rank within the tracked cohort. The score self-calibrates — it answers “accelerating vs. everything else,” not raw size.