Github Trends®
9133 findingsmedian surprise 0.00466window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: own snapshots
FINDING #3054 · UNIT ID 1315593981
phoenix-zhou/agent-sweep-engine
Built on **Agentic RAG** (Agent-driven Retrieval-Augmented Generation) technology, it not only accurately answers pre-sales and after-sales questions but also generates personalized usage reports and optimization suggestions by deeply analyzing device data.
[ PYTHON ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.012
ENGAGEMENT0.19
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
19% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
5.33
ACCEL
+4.00
RETENTION
100.0%
PEAK 2026-08-10 · FORK-RETENTION 0.0% · 16 STARS / WINDOW

Author Audience

AUDIENCE
406
FOLLOWERS
145
OWNER ★
2,612

Engagement Signals

FORKS
2
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 16 / 16 (DIVERSITY 1.00)

Why This Is A Finding

phoenix-zhou/agent-sweep-engine собрал 16 звёзд за окно, тогда как у автора всего 145 подписчиков — эффективная аудитория ≈ 406. Это даёт surprise-индекс 0.012 (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 9133 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00+0.00ABOVE 67%
VELOCITY5.335.67-0.33ABOVE 46%
RETENTION100.0%37.5%+62.5 PPABOVE 95%
FORKS2327-325ABOVE 2%
SURPRISE0.010.00+0.01ABOVE 67%