Github Trends®
6295 findingsmedian surprise 0.0121window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: gharchive
FINDING #5530 · UNIT ID 1185485895
evelyyyyynnnnn/4.0-Decision-Intelligence-Framework
A research-oriented framework for building optimization-driven decision intelligence systems, integrating causal inference, risk modeling, and AI pipelines for large-scale socio-technical systems
[ PYTHON ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0104
ENGAGEMENT0.20
FRESHNESS1.39
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
27% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
S2 · NO EXTERNAL ISSUE/PR AUTHORS DESPITE 100+ STARS
S10 · S10

Growth Telemetry

VELOCITY /D
4.87
ACCEL
-0.01
RETENTION
45.7%
PEAK 2026-06-24 · FORK-RETENTION 0.0% · 146 STARS / WINDOW

Author Audience

AUDIENCE
429
FOLLOWERS
248
OWNER ★
1,829

Engagement Signals

FORKS
82
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 146 / 146 (DIVERSITY 1.00)

Why This Is A Finding

evelyyyyynnnnn/4.0-Decision-Intelligence-Framework собрал 146 звёзд за окно, тогда как у автора всего 248 подписчиков — эффективная аудитория ≈ 429. Это даёт surprise-индекс 0.0104 (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 6295 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 12%
VELOCITY4.874.23+0.63ABOVE 55%
RETENTION45.7%29.4%+16.3 PPABOVE 80%
FORKS8292-10ABOVE 47%
SURPRISE0.010.01-0.00ABOVE 46%