Github Trends®
9734 findingsmedian surprise 0.00854window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #7113 · UNIT ID 1317515809
FrontisAI/OpenRSI
Executable, measurable, and reproducible AI4AI toward recursive self-improvement. Home of OpenMLE and Frontis-MA1.
[ PYTHON ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.11
ENGAGEMENT0.37
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
74% 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
22.29
ACCEL
+0.71
RETENTION
60.2%
PEAK 2026-08-03 · FORK-RETENTION 64.7% · 156 STARS / WINDOW

Author Audience

AUDIENCE
171
FOLLOWERS
31
OWNER ★
546

Engagement Signals

FORKS
17
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 156 / 156 (DIVERSITY 1.00)

Why This Is A Finding

FrontisAI/OpenRSI собрал 156 звёзд за окно, тогда как у автора всего 31 подписчиков — эффективная аудитория ≈ 171. Это даёт surprise-индекс 0.11 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 64.7% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9734 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 27%
VELOCITY22.293.57+18.71ABOVE 90%
RETENTION60.2%37.5%+22.7 PPABOVE 82%
FORKS1798-81ABOVE 15%
SURPRISE0.110.01+0.10ABOVE 95%