Github Trends®
9102 findingsmedian surprise 0.00429window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: own snapshots
FINDING #1516 · 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

SURPRISE0.0776
ENGAGEMENT0.0528
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
36.67
ACCEL
-10.00
RETENTION
64.6%
PEAK 2026-08-27 · FORK-RETENTION 0.0% · 110 STARS / WINDOW

Author Audience

AUDIENCE
433
FOLLOWERS
23
OWNER ★
1,934

Engagement Signals

FORKS
18
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 110 / 110 (DIVERSITY 1.00)

Why This Is A Finding

ScrapeCreators/social-media-research-skills собрал 110 звёзд за окно, тогда как у автора всего 23 подписчиков — эффективная аудитория ≈ 433. Это даёт surprise-индекс 0.0776 (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 9102 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.010.00+0.01ABOVE 83%
VELOCITY36.675.67+31.00ABOVE 92%
RETENTION64.6%45.5%+19.1 PPABOVE 72%
FORKS18340-321ABOVE 11%
SURPRISE0.080.00+0.07ABOVE 92%