NeptuneHub/AudioMuse-AI — GitHub trend

FINDING #3036 · 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

SURPRISE0.0101

ENGAGEMENT0.27

FRESHNESS1.68

SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE

SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)

6% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D

5.17

ACCEL

-0.03

RETENTION

45.1%

PEAK 2026-07-31 · FORK-RETENTION 100.0% · 155 STARS / WINDOW

Author Audience

AUDIENCE

470

FOLLOWERS

149

OWNER ★

3,210

Engagement Signals

FORKS

145

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 155 / 155 (DIVERSITY 1.00)

Why This Is A Finding

NeptuneHub/AudioMuse-AI собрал 155 звёзд за окно, тогда как у автора всего 149 подписчиков — эффективная аудитория ≈ 470. Это даёт surprise-индекс 0.0101 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 100.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

Related Findings

RANKS ABOVE 68% OF 9595 FINDINGS

#02guillaumemeyer/watermarks-remover[ PYTHON ]0.43 #09awesome-dsh-plugin/awesome-dsh-plugin[ PYTHON ]0.38 #10wang2122/sprix-sage-router[ PYTHON ]0.37 #16virgiliojr94/book-to-skill[ PYTHON ]0.31 #19ayghri/i-have-adhd[ PYTHON ]0.28

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9595 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.010.00+0.00ABOVE 68%

VELOCITY5.173.67+1.50ABOVE 62%

RETENTION45.1%24.6%+20.5 PPABOVE 86%

FORKS145115+30ABOVE 56%

SURPRISE0.010.01+0.00ABOVE 55%