Github Trends®
1069 findingsmedian surprise 0.0527window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: gharchive
FINDING #571 · UNIT ID 1177608268
wanshuiyin/Auto-claude-code-research-in-sleep
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.
[ PYTHON ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0167
ENGAGEMENT0.20
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
1% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
28.33
ACCEL
-18.50
RETENTION
0.0%
PEAK 2026-07-13 · FORK-RETENTION 0.0% · 85 STARS / WINDOW

Author Audience

AUDIENCE
1,656
FOLLOWERS
263
OWNER ★
13,929

Engagement Signals

FORKS
1,212
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 85 / 85 (DIVERSITY 1.00)

Why This Is A Finding

wanshuiyin/Auto-claude-code-research-in-sleep собрал 85 звёзд за окно, тогда как у автора всего 263 подписчиков — эффективная аудитория ≈ 1,656. Это даёт surprise-индекс 0.0167 (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 1069 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.010.01-0.00ABOVE 47%
VELOCITY28.3315.33+13.00ABOVE 68%
RETENTION0.0%33.3%-33.3 PPABOVE 0%
FORKS1,21245+1,167ABOVE 88%
SURPRISE0.020.05-0.04ABOVE 29%