aiming-lab/AutoResearchClaw — GitHub trend

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FINDING #449 · UNIT ID 1182108611

aiming-lab/AutoResearchClaw

Fully autonomous & self-evolving research from idea to paper. Chat an Idea. Get a Paper. 🦞

[ PYTHON ][ ORG ][ GITHUB ↗ ]

SURPRISE SCORE

0.00

Score Breakdown

SURPRISE0.00174

ENGAGEMENT0.87

FRESHNESS1.26

SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE

SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)

14% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D

11.08

ACCEL

-0.26

RETENTION

1.7%

PEAK 2026-03-18 · FORK-RETENTION 60.4% · 1,994 STARS / WINDOW

Author Audience

AUDIENCE

6,316

FOLLOWERS

651

OWNER ★

25,071

Engagement Signals

FORKS

1,659

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 1,990 / 1,994 (DIVERSITY 1.00)

Why This Is A Finding

aiming-lab/AutoResearchClaw собрал 1,994 звёзд за окно, тогда как у автора всего 651 подписчиков — эффективная аудитория ≈ 6,316. Это даёт surprise-индекс 0.00174 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 60.4% и 47 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

Related Findings

RANKS ABOVE 74% OF 1696 FINDINGS

#04cft0808/edict[ PYTHON ]0.0178 #12jundot/omlx[ PYTHON ]0.0124 #19TomBadash/Mouser[ PYTHON ]0.0107 #26dou-jiang/codex-console[ PYTHON ]0.00975 #30wanshuiyin/Auto-claude-code-research-in-sleep[ PYTHON ]0.00959

METRICS IN CONTEXT

MEDIAN ACROSS ALL 1696 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.000.00+0.00ABOVE 74%

VELOCITY11.082.82+8.26ABOVE 89%

RETENTION1.7%4.8%-3.1 PPABOVE 12%

FORKS1,6591,584+76ABOVE 51%

SURPRISE0.000.00+0.00ABOVE 71%