giuseppe99barchetta/SuggestArr — GitHub trend

FINDING #4528 · UNIT ID 872358547

giuseppe99barchetta/SuggestArr

Effortlessly request recommended movies, TV shows and anime to Jellyseer/Overseer based on your recently watched content on Jellyfin, Plex or Emby—let SuggestArr handle it all automatically, keeping your library fresh with new and exciting content!

[ PYTHON ][ GITHUB ↗ ]

SURPRISE SCORE

0.00

Score Breakdown

SURPRISE0.0101

ENGAGEMENT0.17

FRESHNESS1.16

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

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

5% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D

1.97

ACCEL

+0.10

RETENTION

44.4%

PEAK 2026-08-28 · FORK-RETENTION 0.0% · 59 STARS / WINDOW

Author Audience

AUDIENCE

154

FOLLOWERS

OWNER ★

1,362

Engagement Signals

FORKS

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 59 / 59 (DIVERSITY 1.00)

Why This Is A Finding

giuseppe99barchetta/SuggestArr собрал 59 звёзд за окно, тогда как у автора всего 18 подписчиков — эффективная аудитория ≈ 154. Это даёт surprise-индекс 0.0101 (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 53% 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

SCORE0.000.00+0.00ABOVE 53%

VELOCITY1.973.67-1.70ABOVE 18%

RETENTION44.4%24.6%+19.8 PPABOVE 85%

FORKS30115-85ABOVE 21%

SURPRISE0.010.01+0.00ABOVE 55%