Github Trends®
9771 findingsmedian surprise 0.00917window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #2291 · 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

SURPRISE0.0622
ENGAGEMENT0.0538
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
11% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
29.43
ACCEL
+3.25
RETENTION
64.6%
PEAK 2026-08-27 · FORK-RETENTION 0.0% · 206 STARS / WINDOW

Author Audience

AUDIENCE
433
FOLLOWERS
23
OWNER ★
1,934

Engagement Signals

FORKS
18
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 206 / 206 (DIVERSITY 1.00)

Why This Is A Finding

ScrapeCreators/social-media-research-skills собрал 206 звёзд за окно, тогда как у автора всего 23 подписчиков — эффективная аудитория ≈ 433. Это даёт surprise-индекс 0.0622 (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 9771 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.010.00+0.01ABOVE 77%
VELOCITY29.433.71+25.71ABOVE 92%
RETENTION64.6%39.3%+25.2 PPABOVE 85%
FORKS1891-73ABOVE 18%
SURPRISE0.060.01+0.05ABOVE 89%