Github Trends®
8934 findingsmedian surprise 0.00869window 180 days
UNIT / TREND-MONITOR · REV 2.6
[ 180 days window ]
SOURCE: starredAt history
FINDING #6780 · UNIT ID 1112914334
ThibautBaissac/rails_ai_agents
Specialized AI skills, agents, rules and hooks for modern Rails AI driven-development + Spec-Driven-Development kit + MCP
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0128
ENGAGEMENT0.20
FRESHNESS1.34
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
59% 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
2.09
ACCEL
-0.02
RETENTION
12.2%
PEAK 2026-01-29 · FORK-RETENTION 0.0% · 377 STARS / WINDOW

Author Audience

AUDIENCE
124
FOLLOWERS
50
OWNER ★
737

Engagement Signals

FORKS
78
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 377 / 377 (DIVERSITY 1.00)

Why This Is A Finding

ThibautBaissac/rails_ai_agents собрал 377 звёзд за окно, тогда как у автора всего 50 подписчиков — эффективная аудитория ≈ 124. Это даёт surprise-индекс 0.0128 (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 8934 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 24%
VELOCITY2.093.18-1.08ABOVE 26%
RETENTION12.2%9.9%+2.4 PPABOVE 58%
FORKS78107-29ABOVE 40%
SURPRISE0.010.01+0.00ABOVE 61%