Github Trends®
9726 findingsmedian surprise 0.00637window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #5554 · 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

SURPRISE0.00512
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
2.29
ACCEL
+1.43
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 0.00512 (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 9726 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 43%
VELOCITY2.293.43-1.14ABOVE 31%
RETENTION100.0%33.3%+66.7 PPABOVE 99%
FORKS2130-128ABOVE 3%
SURPRISE0.010.01-0.00ABOVE 44%