Github Trends®
1069 findingsmedian surprise 0.0527window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: gharchive
FINDING #920 · 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

SURPRISE0.0569
ENGAGEMENT0.20
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
4% 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
5.33
ACCEL
+1.00
RETENTION
25.0%
PEAK 2026-07-13 · FORK-RETENTION 0.0% · 16 STARS / WINDOW

Author Audience

AUDIENCE
54
FOLLOWERS
16
OWNER ★
378

Engagement Signals

FORKS
87
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 16 / 16 (DIVERSITY 1.00)

Why This Is A Finding

BrianRWagner/ai-marketing-claude-code-skills собрал 16 звёзд за окно, тогда как у автора всего 16 подписчиков — эффективная аудитория ≈ 54. Это даёт surprise-индекс 0.0569 (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 1069 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.01-0.01ABOVE 14%
VELOCITY5.3315.33-10.00ABOVE 16%
RETENTION25.0%33.3%-8.3 PPABOVE 46%
FORKS8745+42ABOVE 61%
SURPRISE0.060.05+0.00ABOVE 51%