Github Trends®
9558 findingsmedian surprise 0.00429window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: own snapshots
FINDING #7286 · 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

SURPRISE0.0536
ENGAGEMENT0.23
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
2% 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
15.67
ACCEL
-1.00
RETENTION
82.4%
PEAK 2026-08-27 · FORK-RETENTION 0.0% · 47 STARS / WINDOW

Author Audience

AUDIENCE
252
FOLLOWERS
23
OWNER ★
2,292

Engagement Signals

FORKS
126
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 47 / 47 (DIVERSITY 1.00)

Why This Is A Finding

leo-lilinxiao/codex-autoresearch собрал 47 звёзд за окно, тогда как у автора всего 23 подписчиков — эффективная аудитория ≈ 252. Это даёт surprise-индекс 0.0536 (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 9558 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 24%
VELOCITY15.675.67+10.00ABOVE 81%
RETENTION82.4%42.9%+39.5 PPABOVE 87%
FORKS126333-207ABOVE 32%
SURPRISE0.050.00+0.05ABOVE 88%