Github Trends®
9770 findingsmedian surprise 0.00956window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #8209 · 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

SURPRISE0.0445
ENGAGEMENT0.15
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
53% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
S2 · NO EXTERNAL ISSUE/PR AUTHORS DESPITE 100+ STARS
S5 · PREDATES WINDOW, YET HALF+ OF ALL ITS STARS LANDED IN IT

Growth Telemetry

VELOCITY /D
9.00
ACCEL
+5.14
RETENTION
40.0%
PEAK 2026-09-23 · FORK-RETENTION 0.0% · 63 STARS / WINDOW

Author Audience

AUDIENCE
162
FOLLOWERS
9
OWNER ★
722

Engagement Signals

FORKS
3
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 63 / 63 (DIVERSITY 1.00)

Why This Is A Finding

zj-unicom-ai/vision-hub-platform собрал 63 звёзд за окно, тогда как у автора всего 9 подписчиков — эффективная аудитория ≈ 162. Это даёт surprise-индекс 0.0445 (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 9770 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 16%
VELOCITY9.003.57+5.43ABOVE 74%
RETENTION40.0%40.0%+0.0 PPABOVE 50%
FORKS392-89ABOVE 4%
SURPRISE0.040.01+0.03ABOVE 84%