FINDING #7402 · UNIT ID 742273627
Labellerr/Hands-On-Learning-in-Computer-Vision
Hands-On Learning in Computer Vision
SURPRISE SCORE
0.00
Score Breakdown
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
64% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
S1b · REPO PREDATES ITS OWNER ACCOUNT (TRANSFERRED / RE-CREATED)
S2 · NO EXTERNAL ISSUE/PR AUTHORS DESPITE 100+ STARS
S5 · PREDATES WINDOW, YET HALF+ OF ALL ITS STARS LANDED IN IT
S7 · THIS REPO IS ~ALL OF THE OWNER'S STARS
Growth Telemetry
VELOCITY /D
1.96
ACCEL
+0.00
RETENTION
4.1%
PEAK 2026-02-26 · FORK-RETENTION 0.0% · 353 STARS / WINDOW
Author Audience
AUDIENCE
221
FOLLOWERS
52
OWNER ★
585
Engagement Signals
FORKS
109
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 353 / 353 (DIVERSITY 1.00)
Why This Is A Finding
Labellerr/Hands-On-Learning-in-Computer-Vision собрал 353 звёзд за окно, тогда как у автора всего 52 подписчиков — эффективная аудитория ≈ 221. Это даёт surprise-индекс 0.00751 (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 17% OF 8934 FINDINGS
METRICS IN CONTEXT
MEDIAN ACROSS ALL 8934 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 17%
VELOCITY1.963.18-1.22ABOVE 21%
RETENTION4.1%9.9%-5.8 PPABOVE 21%
FORKS109107+2ABOVE 50%
SURPRISE0.010.01-0.00ABOVE 46%