Github Trends®
9676 findingsmedian surprise 0.00725window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: own snapshots
FINDING #6666 · UNIT ID 758458104
Akkudoktor-EOS/EOS
This repository features an Energy Optimization System (EOS) that optimizes energy distribution, usage for batteries, heat pumps& household devices. It includes predictive models for electricity prices (planned), load forecasting& dynamic optimization to maximize energy efficiency & minimize costs. Founder Dr. Andreas Schmitz (YouTube @akkudoktor)
[ PYTHON ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.00177
ENGAGEMENT0.26
FRESHNESS1.09
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
3% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
1.80
ACCEL
-0.08
RETENTION
10.9%
PEAK 2026-09-25 · FORK-RETENTION 0.0% · 54 STARS / WINDOW

Author Audience

AUDIENCE
974
FOLLOWERS
311
OWNER ★
1,762

Engagement Signals

FORKS
139
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 54 / 54 (DIVERSITY 1.00)

Why This Is A Finding

Akkudoktor-EOS/EOS собрал 54 звёзд за окно, тогда как у автора всего 311 подписчиков — эффективная аудитория ≈ 974. Это даёт surprise-индекс 0.00177 (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 9676 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 31%
VELOCITY1.803.80-2.00ABOVE 12%
RETENTION10.9%20.0%-9.1 PPABOVE 29%
FORKS139142-3ABOVE 49%
SURPRISE0.000.01-0.01ABOVE 22%