Github Trends®
6295 findingsmedian surprise 0.0121window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: gharchive
FINDING #4768 · UNIT ID 1070296870
bybren-llc/safe-agentic-workflow
SAW — SAFe Agentic Workflow AI Agent Harness for Multi-Agent Team Workflows Built on SAFe methodology (Scaled Agile Framework), adapted for AI agent teams. Works for any team with repeatable processes: Software, Marketing, Research, Legal, Operations.
[ SHELL ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.054
ENGAGEMENT0.20
FRESHNESS1.34
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
82% 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
S10 · S10

Growth Telemetry

VELOCITY /D
10.17
ACCEL
-0.11
RETENTION
22.3%
PEAK 2026-06-28 · FORK-RETENTION 0.0% · 305 STARS / WINDOW

Author Audience

AUDIENCE
148
FOLLOWERS
30
OWNER ★
441

Engagement Signals

FORKS
82
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 305 / 305 (DIVERSITY 1.00)

Why This Is A Finding

bybren-llc/safe-agentic-workflow собрал 305 звёзд за окно, тогда как у автора всего 30 подписчиков — эффективная аудитория ≈ 148. Это даёт surprise-индекс 0.054 (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 24%
VELOCITY10.174.23+5.93ABOVE 74%
RETENTION22.3%29.4%-7.1 PPABOVE 35%
FORKS8292-10ABOVE 47%
SURPRISE0.050.01+0.04ABOVE 88%