Github Trends®
5944 findingsmedian surprise 0.0104window 180 days
UNIT / TREND-MONITOR · REV 2.6
[ 180 days window ]
SOURCE: gharchive
FINDING #1289 · UNIT ID 1210670063
sergebulaev/linkedin-skills
Claude Code and Codex skills for LinkedIn growth: write human-sounding posts, craft comments that get noticed, analyze your feed, and build a publishing cadence, all from your terminal. Plug-and-play skills for content creators, founders, and marketers.
[ PYTHON ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0136
ENGAGEMENT0.20
FRESHNESS1.36
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
99% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
2.13
ACCEL
+0.04
RETENTION
19.7%
PEAK 2026-05-18 · FORK-RETENTION 0.0% · 383 STARS / WINDOW

Author Audience

AUDIENCE
117
FOLLOWERS
62
OWNER ★
549

Engagement Signals

FORKS
55
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 383 / 383 (DIVERSITY 1.00)

Why This Is A Finding

sergebulaev/linkedin-skills собрал 383 звёзд за окно, тогда как у автора всего 62 подписчиков — эффективная аудитория ≈ 117. Это даёт surprise-индекс 0.0136 (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 5944 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.010.00+0.01ABOVE 78%
VELOCITY2.133.29-1.17ABOVE 25%
RETENTION19.7%11.3%+8.3 PPABOVE 71%
FORKS5599-44ABOVE 31%
SURPRISE0.010.01+0.00ABOVE 58%