Github Trends®
9558 findingsmedian surprise 0.00429window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: own snapshots
FINDING #1395 · UNIT ID 1261571908
ScrapeCreators/social-media-research-skills
AI agent skills for social media research. Outlier posts, comment mining, competitor teardowns, ad libraries & trends across TikTok, Instagram, YouTube, Reddit, X, LinkedIn & more. Powered by ScrapeCreators. Works with Claude Code, Cursor, Codex, Gemini CLI.
[ PYTHON ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0832
ENGAGEMENT0.0639
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
6% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
39.00
ACCEL
-0.50
RETENTION
70.8%
PEAK 2026-08-27 · FORK-RETENTION 0.0% · 117 STARS / WINDOW

Author Audience

AUDIENCE
429
FOLLOWERS
23
OWNER ★
1,914

Engagement Signals

FORKS
17
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 117 / 117 (DIVERSITY 1.00)

Why This Is A Finding

ScrapeCreators/social-media-research-skills собрал 117 звёзд за окно, тогда как у автора всего 23 подписчиков — эффективная аудитория ≈ 429. Это даёт surprise-индекс 0.0832 (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
SCORE0.010.00+0.01ABOVE 85%
VELOCITY39.005.67+33.33ABOVE 93%
RETENTION70.8%42.9%+28.0 PPABOVE 77%
FORKS17333-316ABOVE 10%
SURPRISE0.080.00+0.08ABOVE 92%