Github Trends®
5944 findingsmedian surprise 0.0104window 180 days
UNIT / TREND-MONITOR · REV 2.6
[ 180 days window ]
SOURCE: gharchive
FINDING #4218 · UNIT ID 989499651
NeptuneHub/AudioMuse-AI
AudioMuse-AI uses sonic analysis to rediscover forgotten songs, uncover hidden connections in your music library, and generate intelligent playlists for Navidrome, Jellyfin, LMS, Lyrion, Emby and Plex: no metadata or external services required.
[ PYTHON ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0166
ENGAGEMENT0.20
FRESHNESS1.33
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
60% 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
7.52
ACCEL
+0.00
RETENTION
10.1%
PEAK 2026-01-19 · FORK-RETENTION 0.0% · 1,353 STARS / WINDOW

Author Audience

AUDIENCE
412
FOLLOWERS
128
OWNER ★
2,839

Engagement Signals

FORKS
134
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 1,353 / 1,353 (DIVERSITY 1.00)

Why This Is A Finding

NeptuneHub/AudioMuse-AI собрал 1,353 звёзд за окно, тогда как у автора всего 128 подписчиков — эффективная аудитория ≈ 412. Это даёт surprise-индекс 0.0166 (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 5944 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 29%
VELOCITY7.523.29+4.22ABOVE 76%
RETENTION10.1%11.3%-1.3 PPABOVE 46%
FORKS13499+35ABOVE 59%
SURPRISE0.020.01+0.01ABOVE 67%