Github Trends®
9676 findingsmedian surprise 0.00725window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: own snapshots
FINDING #8472 · UNIT ID 1356900025
TokenRhythm/NeoHorse
NeoHorse-1: Towards Recursive Self-Improvement via Agentic Post-Training with Routing Harness.
[ PYTHON ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0199
ENGAGEMENT0.13
FRESHNESS1.63
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
69% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
S2 · NO EXTERNAL ISSUE/PR AUTHORS DESPITE 100+ STARS
S5 · PREDATES WINDOW, YET HALF+ OF ALL ITS STARS LANDED IN IT

Growth Telemetry

VELOCITY /D
39.77
ACCEL
-2.78
RETENTION
36.8%
PEAK 2026-09-26 · FORK-RETENTION 90.3% · 1,193 STARS / WINDOW

Author Audience

AUDIENCE
1,958
FOLLOWERS
83
OWNER ★
8,960

Engagement Signals

FORKS
40
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 1,193 / 1,193 (DIVERSITY 1.00)

Why This Is A Finding

TokenRhythm/NeoHorse собрал 1,193 звёзд за окно, тогда как у автора всего 83 подписчиков — эффективная аудитория ≈ 1,958. Это даёт surprise-индекс 0.0199 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 90.3% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9676 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 12%
VELOCITY39.773.80+35.97ABOVE 94%
RETENTION36.8%20.0%+16.8 PPABOVE 83%
FORKS40142-102ABOVE 24%
SURPRISE0.020.01+0.01ABOVE 72%