Github Trends®
9757 findingsmedian surprise 0.0125window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #3052 · 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

SURPRISE0.0318
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
6.43
ACCEL
+4.82
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 0.0318 (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 9757 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.010.00+0.00ABOVE 69%
VELOCITY6.433.86+2.57ABOVE 64%
RETENTION0.0%32.1%-32.1 PPABOVE 0%
FORKS372-69ABOVE 4%
SURPRISE0.030.01+0.02ABOVE 76%