FlashInfer: Kernel Library for LLM Serving
flashinfer-ai/flashinfer is drawing steady momentum at +3.7 stars/day (53rd percentile in the tracked cohort), for a momentum score of 43.2/100. A recent release is helping fuel the run.
Reconstructed from 214 snapshots — the time-series GitHub’s API doesn’t expose.
Release count rose to 366.
Release count rose to 364.
~15 forks/day, 3.6× the trailing baseline.
Live score, refreshed every 6 hours. Links back to this page.
[](https://breakwave.vercel.app/repo/flashinfer-ai/flashinfer)Low breakout odds over the next 14 days, led by push recency (100th pctl) and fork velocity (83th 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.
Release count rose to 362.
~20 forks/day, 3.8× the trailing baseline.
~26 forks/day, 5.8× the trailing baseline.
~21 forks/day, 5.7× the trailing baseline.
~11 forks/day, 4.3× the trailing baseline.
Release count rose to 361.
~21 forks/day, 4.1× the trailing baseline.
Release count rose to 360.
Release count rose to 359.