FINDING #3764 · 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)
10% OF STARS IN ARCHIVE
Growth Telemetry
VELOCITY /D
1.86
ACCEL
+0.71
RETENTION
0.0%
PEAK 2026-09-24 · FORK-RETENTION 0.0% · 13 STARS / WINDOW
Author Audience
AUDIENCE
129
FOLLOWERS
50
OWNER ★
147
Engagement Signals
FORKS
50
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 13 / 13 (DIVERSITY 1.00)
Why This Is A Finding
evaleval/every_eval_ever собрал 13 звёзд за окно, тогда как у автора всего 50 подписчиков — эффективная аудитория ≈ 129. Это даёт surprise-индекс 0.011 (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 61% OF 9770 FINDINGS
METRICS IN CONTEXT
MEDIAN ACROSS ALL 9770 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00+0.00ABOVE 61%
VELOCITY1.863.57-1.71ABOVE 18%
RETENTION0.0%40.0%-40.0 PPABOVE 0%
FORKS5092-42ABOVE 36%
SURPRISE0.010.01+0.00ABOVE 54%