NeptuneHub/AudioMuse-AI — GitHub trend

FINDING #1123 · 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

SURPRISE0.0251

ENGAGEMENT0.20

FRESHNESS1.38

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

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

15% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D

11.33

ACCEL

+0.36

RETENTION

40.0%

PEAK 2026-07-10 · FORK-RETENTION 0.0% · 340 STARS / WINDOW

Author Audience

AUDIENCE

412

FOLLOWERS

128

OWNER ★

2,839

Engagement Signals

FORKS

134

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 340 / 340 (DIVERSITY 1.00)

Why This Is A Finding

NeptuneHub/AudioMuse-AI собрал 340 звёзд за окно, тогда как у автора всего 128 подписчиков — эффективная аудитория ≈ 412. Это даёт surprise-индекс 0.0251 (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 82% OF 6295 FINDINGS

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METRICS IN CONTEXT

MEDIAN ACROSS ALL 6295 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.010.00+0.01ABOVE 82%

VELOCITY11.334.23+7.10ABOVE 77%

RETENTION40.0%29.4%+10.6 PPABOVE 70%

FORKS13492+42ABOVE 60%

SURPRISE0.030.01+0.01ABOVE 71%