Github Trends®
9771 findingsmedian surprise 0.00917window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #2874 · UNIT ID 1209345417
proinsight-io/crewmeld
CrewMeld — Enterprise AI Digital Workforce Platform. Manage AI employees like real team members. Visual SOP orchestration, 13 LLM providers (including China-native models), 8+ messaging channels(WeCom/DingTalk/Feishu/Telegram), knowledge base with RAG, and full private deployment support. Built with Next.js, React, TypeScript & Bun.
[ TYPESCRIPT ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.04
ENGAGEMENT0.0668
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
7% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
7.43
ACCEL
-0.36
RETENTION
79.6%
PEAK 2026-08-23 · FORK-RETENTION 0.0% · 52 STARS / WINDOW

Author Audience

AUDIENCE
146
FOLLOWERS
1
OWNER ★
719

Engagement Signals

FORKS
12
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 52 / 52 (DIVERSITY 1.00)

Why This Is A Finding

proinsight-io/crewmeld собрал 52 звёзд за окно, тогда как у автора всего 1 подписчиков — эффективная аудитория ≈ 146. Это даёт surprise-индекс 0.04 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9771 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.010.00+0.00ABOVE 71%
VELOCITY7.433.71+3.71ABOVE 72%
RETENTION79.6%39.3%+40.3 PPABOVE 96%
FORKS1291-79ABOVE 14%
SURPRISE0.040.01+0.03ABOVE 84%