Github Trends®
1013 findingsmedian surprise 0.0334window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: gharchive
FINDING #879 · UNIT ID 1147015603
BrianRWagner/ai-marketing-claude-code-skills
Marketing frameworks that AI actually executes. Designed for Claude Code, but could be used for OpenClaw, etc.
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.016
ENGAGEMENT0.20
FRESHNESS1.35
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
12% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
S2 · NO EXTERNAL ISSUE/PR AUTHORS DESPITE 100+ STARS
S7 · THIS REPO IS ~ALL OF THE OWNER'S STARS
S10 · S10

Growth Telemetry

VELOCITY /D
1.50
ACCEL
+0.05
RETENTION
25.0%
PEAK 2026-07-13 · FORK-RETENTION 0.0% · 45 STARS / WINDOW

Author Audience

AUDIENCE
54
FOLLOWERS
16
OWNER ★
378

Engagement Signals

FORKS
87
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 45 / 45 (DIVERSITY 1.00)

Why This Is A Finding

BrianRWagner/ai-marketing-claude-code-skills собрал 45 звёзд за окно, тогда как у автора всего 16 подписчиков — эффективная аудитория ≈ 54. Это даёт surprise-индекс 0.016 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 1013 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 13%
VELOCITY1.507.20-5.70ABOVE 0%
RETENTION25.0%30.8%-5.8 PPABOVE 39%
FORKS8756+31ABOVE 57%
SURPRISE0.020.03-0.02ABOVE 31%