← All work

Jul 2025 — present / In development

TypeForge

Practice that adapts to the way you type.

I am developing a typing application that tracks cadence, keystrokes and accuracy, with AI-driven drills designed and implemented to adapt to user weaknesses. It comes from building mechanical keyboards and reaching 193 wpm. A public demo is available; the product remains in development, with no public evaluation or full product release claimed.

Try the live demo ↗
Role
Solo developer
Status
In development
Evidence
Project summary
Adaptive practice
Keystrokes → areas to practise → adaptive drills. Conceptual view of adaptive practice, not a product screenshot.

01The context

Typing practice can focus on a headline speed rather than the particular weaknesses a person needs to practise.

02My contribution

Designing and building a React/Node.js typing application, including implemented AI-driven adaptive drills.

03The approach

  • Developing real-time analytics for cadence, keystrokes and accuracy.
  • Adaptive drills target user weaknesses.
  • Personal typing and keyboard-building experience informs the product direction.

04Evidence & limitations

  • Adaptive AI-driven drills designed and implemented, as described in my current project record.

The boundaries of this account

A public demo is available; the product is still in development, not a full product release.

No measured learning uplift, timing precision or model benchmark is published.

05Tools & methods

  • React
  • Node.js
  • TypeScript
  • Keystroke analytics