Github Trends®
1120 findingsmedian surprise 0.0444window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: gharchive
FINDING #323 · 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.
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SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0986
ENGAGEMENT0.0743
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
21% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
11.57
ACCEL
-0.75
RETENTION
62.5%
PEAK 2026-07-10 · FORK-RETENTION 0.0% · 81 STARS / WINDOW

Author Audience

AUDIENCE
77
FOLLOWERS
1
OWNER ★
377

Engagement Signals

FORKS
7
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 81 / 81 (DIVERSITY 1.00)

Why This Is A Finding

proinsight-io/crewmeld собрал 81 звёзд за окно, тогда как у автора всего 1 подписчиков — эффективная аудитория ≈ 77. Это даёт surprise-индекс 0.0986 (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 1120 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.020.01+0.01ABOVE 71%
VELOCITY11.5713.86-2.29ABOVE 43%
RETENTION62.5%36.8%+25.7 PPABOVE 83%
FORKS750-43ABOVE 16%
SURPRISE0.100.04+0.05ABOVE 69%