FINDING #8287 · UNIT ID 1360078054
muellerberndt/cadence
Machine learning library for building consensus-style equilibrium world models that continuously learn from experience.
SURPRISE SCORE
0.00
Score Breakdown
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
95% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
S2 · NO EXTERNAL ISSUE/PR AUTHORS DESPITE 100+ STARS
S5 · PREDATES WINDOW, YET HALF+ OF ALL ITS STARS LANDED IN IT
Growth Telemetry
VELOCITY /D
35.57
ACCEL
+18.21
RETENTION
44.0%
PEAK 2026-09-23 · FORK-RETENTION 18.5% · 249 STARS / WINDOW
Author Audience
AUDIENCE
1,712
FOLLOWERS
1,076
OWNER ★
6,361
Engagement Signals
FORKS
30
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 249 / 249 (DIVERSITY 1.00)
Why This Is A Finding
muellerberndt/cadence собрал 249 звёзд за окно, тогда как у автора всего 1,076 подписчиков — эффективная аудитория ≈ 1,712. Это даёт surprise-индекс 0.0203 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 18.5% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.
Related Findings
RANKS ABOVE 15% 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 15%
VELOCITY35.573.57+32.00ABOVE 93%
RETENTION44.0%40.0%+4.0 PPABOVE 56%
FORKS3092-62ABOVE 26%
SURPRISE0.020.01+0.01ABOVE 69%