Github Trends®
6380 findingsmedian surprise 0.0122window 90 days
UNIT / TREND-MONITOR · REV 2.6
[ 90 days window ]
SOURCE: gharchive
FINDING #6136 · UNIT ID 1096054771
awslabs/aidlc-workflows
AI-Driven Life Cycle (AI-DLC) adaptive workflow steering rules for AI coding agents
[ PYTHON ][ ORG ][ VERIFIED ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.000198
ENGAGEMENT0.20
FRESHNESS1.35
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
68% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
S2 · NO EXTERNAL ISSUE/PR AUTHORS DESPITE 100+ STARS
S5 · PREDATES WINDOW, YET HALF+ OF ALL ITS STARS LANDED IN IT

Growth Telemetry

VELOCITY /D
26.56
ACCEL
-0.13
RETENTION
15.5%
PEAK 2026-05-09 · FORK-RETENTION 0.0% · 2,390 STARS / WINDOW

Author Audience

AUDIENCE
134,219
FOLLOWERS
11,254
OWNER ★
140,593

Engagement Signals

FORKS
584
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 2,390 / 2,390 (DIVERSITY 1.00)

Why This Is A Finding

awslabs/aidlc-workflows собрал 2,390 звёзд за окно, тогда как у автора всего 11,254 подписчиков — эффективная аудитория ≈ 134,219. Это даёт surprise-индекс 0.000198 (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 6380 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 4%
VELOCITY26.563.99+22.56ABOVE 92%
RETENTION15.5%17.1%-1.7 PPABOVE 46%
FORKS58490+495ABOVE 89%
SURPRISE0.000.01-0.01ABOVE 7%