FINDING #1876 · UNIT ID 1072418796
evaleval/every_eval_ever
Every Eval Ever is a shared schema and crowdsourced eval database. It defines a standardized metadata format for storing AI evaluation results — from leaderboard scrapes and research papers to local evaluation runs — so that results from different frameworks can be compared, reproduced, and reused.
SURPRISE SCORE
0.00
Score Breakdown
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
9% OF STARS IN ARCHIVE
Growth Telemetry
VELOCITY /D
3.67
ACCEL
+0.50
RETENTION
0.0%
PEAK 2026-09-24 · FORK-RETENTION 0.0% · 11 STARS / WINDOW
Author Audience
AUDIENCE
129
FOLLOWERS
50
OWNER ★
147
Engagement Signals
FORKS
50
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 11 / 11 (DIVERSITY 1.00)
Why This Is A Finding
evaleval/every_eval_ever собрал 11 звёзд за окно, тогда как у автора всего 50 подписчиков — эффективная аудитория ≈ 129. Это даёт surprise-индекс 0.0216 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.
Related Findings
RANKS ABOVE 80% OF 9535 FINDINGS
METRICS IN CONTEXT
MEDIAN ACROSS ALL 9535 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.010.00+0.01ABOVE 80%
VELOCITY3.675.67-2.00ABOVE 26%
RETENTION0.0%44.1%-44.1 PPABOVE 0%
FORKS50324-274ABOVE 20%
SURPRISE0.020.00+0.02ABOVE 75%