Github Trends®
9582 findingsmedian surprise 0.00484window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: own snapshots
FINDING #1128 · UNIT ID 1362294388
zj-unicom-ai/vision-hub-platform
Build visual detection tasks fast with an open-source platform. Connect cameras, video streams, and heterogeneous vision models; define algorithms with prompts; configure frame sampling and detection regions; and manage alerts. Everything you need to put visual AI to work, in one place.
[ JAVA ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0741
ENGAGEMENT0.14
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
38% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
15.00
ACCEL
+22.50
RETENTION
0.0%
PEAK 2026-09-23 · FORK-RETENTION 0.0% · 45 STARS / WINDOW

Author Audience

AUDIENCE
162
FOLLOWERS
9
OWNER ★
722

Engagement Signals

FORKS
3
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 45 / 45 (DIVERSITY 1.00)

Why This Is A Finding

zj-unicom-ai/vision-hub-platform собрал 45 звёзд за окно, тогда как у автора всего 9 подписчиков — эффективная аудитория ≈ 162. Это даёт surprise-индекс 0.0741 (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 9582 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.020.00+0.02ABOVE 88%
VELOCITY15.005.67+9.33ABOVE 79%
RETENTION0.0%43.8%-43.8 PPABOVE 0%
FORKS3326-323ABOVE 2%
SURPRISE0.070.00+0.07ABOVE 90%