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EverMind-AI/EverOS is drawing steady momentum at +20.0 stars/day (81st percentile in the tracked cohort), for a momentum score of 70.6/100. A recent release is helping fuel the run.
Reconstructed from 265 snapshots — the time-series GitHub’s API doesn’t expose.
Release count rose to 22.
Release count rose to 21.
~27 forks/day, 3.1× the trailing baseline.
Live score, refreshed every 6 hours. Links back to this page.
[](https://repoclimb.com/repo/EverMind-AI/EverOS)Elevated breakout odds over the next 14 days, led by star acceleration (75th pctl) and star velocity (81th 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.
~32 forks/day, 7.6× the trailing baseline.
~15 forks/day, 7.0× the trailing baseline.
Release count rose to 19.
Release count rose to 17.
Release count rose to 13.
Release count rose to 12.
Release count rose to 11.
Release count rose to 10.
Release count rose to 9.