Github Trends®
9591 findingsmedian surprise 0.00783window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: own snapshots
FINDING #7679 · UNIT ID 1184866064
leo-lilinxiao/codex-autoresearch
Codex Autoresearch Skill — A self-directed iterative system for Codex that continuously cycles through: modify, verify, retain or discard, and repeat indefinitely. Inspired by Karpathy’s autoresearch concept.
[ PYTHON ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0307
ENGAGEMENT0.26
FRESHNESS1.63
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
12% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
S2 · NO EXTERNAL ISSUE/PR AUTHORS DESPITE 100+ STARS
S7 · THIS REPO IS ~ALL OF THE OWNER'S STARS
S10 · DEAD CODE, ZERO CONTRIBUTORS, YET STARS KEEP DRIPPING

Growth Telemetry

VELOCITY /D
8.97
ACCEL
+0.20
RETENTION
44.2%
PEAK 2026-08-04 · FORK-RETENTION 90.0% · 269 STARS / WINDOW

Author Audience

AUDIENCE
252
FOLLOWERS
23
OWNER ★
2,292

Engagement Signals

FORKS
126
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 269 / 269 (DIVERSITY 1.00)

Why This Is A Finding

leo-lilinxiao/codex-autoresearch собрал 269 звёзд за окно, тогда как у автора всего 23 подписчиков — эффективная аудитория ≈ 252. Это даёт surprise-индекс 0.0307 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 90.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9591 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 20%
VELOCITY8.973.63+5.33ABOVE 77%
RETENTION44.2%24.8%+19.4 PPABOVE 84%
FORKS126120+6ABOVE 51%
SURPRISE0.030.01+0.02ABOVE 82%