Reference library
Training,
explained clearly.
Long reads on the science and the methods behind Kinoku's deepest features. Each one opens with a quick start for serious trainees. Then comes a section with the math, for those who want it. The sources sit at the end, so you can go further.
Banister's Fitness-Fatigue Model — CTL, ATL, TSB Explained
What CTL, ATL, and TSB really mean in the Banister fitness-fatigue model, how to read the curve day to day, and how to time a peak or a deload.
Offline-First Fitness Tracking
What changes when your fitness data stays on your phone, and what you give up. A plain look at owning your training record.
Reading the DOTS Score: Are You Actually Strong?
DOTS is the score that rates lifting strength fair across body weights. How it works, how to read yours, and how it stacks up to Wilks and IPF GL.
Relative Strength + Bodyweight Exercise Load
Why 10 pull-ups at 70 kg is not the same set as 10 pull-ups at 85 kg, and how Kinoku tracks the real per-rep load of bodyweight work.
Reproductive Health Privacy Architecture
Why Kinoku keeps cycle and pregnancy data in a separate database that Google Auto Backup never sees, and how tests keep it that way.
The Supplemental AI Philosophy
Most fitness apps let AI run your training. Kinoku flips that. The AI shows you patterns you might miss, then you make the call.