Github Trends®
4998 findingsmedian surprise 0.0059window 1 day
UNIT / TREND-MONITOR · REV 2.6
[ 1 day window ]
SOURCE: own snapshots
FINDING #4273 · 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

SURPRISE0.0256
ENGAGEMENT0.40
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
0% 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
8.00
ACCEL
0.00
RETENTION
0.0%
PEAK 2026-09-12 · FORK-RETENTION 0.0% · 8 STARS / WINDOW

Author Audience

AUDIENCE
272
FOLLOWERS
23
OWNER ★
2,506

Engagement Signals

FORKS
130
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 8 / 8 (DIVERSITY 1.00)

Why This Is A Finding

leo-lilinxiao/codex-autoresearch собрал 8 звёзд за окно, тогда как у автора всего 23 подписчиков — эффективная аудитория ≈ 272. Это даёт surprise-индекс 0.0256 (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 4998 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 15%
VELOCITY8.009.00-1.00ABOVE 38%
RETENTION0.0%0.0%0.0 PPABOVE 0%
FORKS130459-329ABOVE 29%
SURPRISE0.030.01+0.02ABOVE 73%