Github Trends®
9558 findingsmedian surprise 0.00429window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: own snapshots
FINDING #2568 · UNIT ID 1210670063
sergebulaev/linkedin-skills
Claude skills for LinkedIn. 11 Claude Code and Codex skills that write human-sounding LinkedIn posts, craft comments that get noticed, analyze your feed, and build a publishing cadence, all from your terminal. Content engineering by Creative Content Crafts. MIT.
[ PYTHON ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.02
ENGAGEMENT0.20
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
2% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
4.33
ACCEL
-2.00
RETENTION
58.3%
PEAK 2026-08-26 · FORK-RETENTION 0.0% · 13 STARS / WINDOW

Author Audience

AUDIENCE
176
FOLLOWERS
86
OWNER ★
910

Engagement Signals

FORKS
91
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 13 / 13 (DIVERSITY 1.00)

Why This Is A Finding

sergebulaev/linkedin-skills собрал 13 звёзд за окно, тогда как у автора всего 86 подписчиков — эффективная аудитория ≈ 176. Это даёт surprise-индекс 0.02 (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 9558 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00+0.00ABOVE 73%
VELOCITY4.335.67-1.33ABOVE 35%
RETENTION58.3%42.9%+15.5 PPABOVE 65%
FORKS91333-242ABOVE 27%
SURPRISE0.020.00+0.02ABOVE 75%