Github Trends®
5833 findingsmedian surprise 0.00586window 1 day
UNIT / TREND-MONITOR · REV 2.6
[ 1 day window ]
SOURCE: own snapshots
FINDING #1360 · 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.
[ PYTHON ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0295
ENGAGEMENT0.52
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
4% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
5.00
ACCEL
0.00
RETENTION
0.0%
PEAK 2026-09-24 · FORK-RETENTION 0.0% · 5 STARS / WINDOW

Author Audience

AUDIENCE
129
FOLLOWERS
50
OWNER ★
147

Engagement Signals

FORKS
50
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 5 / 5 (DIVERSITY 1.00)

Why This Is A Finding

evaleval/every_eval_ever собрал 5 звёзд за окно, тогда как у автора всего 50 подписчиков — эффективная аудитория ≈ 129. Это даёт surprise-индекс 0.0295 (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.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 5833 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.010.00+0.01ABOVE 77%
VELOCITY5.009.00-4.00ABOVE 0%
RETENTION0.0%0.0%0.0 PPABOVE 0%
FORKS50419-369ABOVE 18%
SURPRISE0.030.01+0.02ABOVE 74%