Github Trends®
9558 findingsmedian surprise 0.00429window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: own snapshots
FINDING #2382 · 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
ENGAGEMENT0.0679
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
3% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
7.33
ACCEL
-0.50
RETENTION
87.5%
PEAK 2026-08-26 · FORK-RETENTION 0.0% · 22 STARS / WINDOW

Author Audience

AUDIENCE
143
FOLLOWERS
1
OWNER ★
713

Engagement Signals

FORKS
12
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 22 / 22 (DIVERSITY 1.00)

Why This Is A Finding

proinsight-io/crewmeld собрал 22 звёзд за окно, тогда как у автора всего 1 подписчиков — эффективная аудитория ≈ 143. 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 9558 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.010.00+0.00ABOVE 75%
VELOCITY7.335.67+1.67ABOVE 60%
RETENTION87.5%42.9%+44.6 PPABOVE 91%
FORKS12333-321ABOVE 8%
SURPRISE0.040.00+0.04ABOVE 85%