# TypeForge

In development · Jul 2025 — present

Role: Solo developer
Stack: React, Node\.js, TypeScript, Keystroke analytics

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\.

Live demo: <https://typeforge-alpha.vercel.app>

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

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

## 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\.

## Highlights
- Designed and implemented adaptive AI-driven drills\.
- Developing real-time cadence, keystroke and accuracy analytics\.
- A personal exploration of more targeted typing practice\.

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

## Limitations
- 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\.

Source: <https://owencdev.info/projects/typeforge>

Owner-supplied professional and project descriptions; earlier non-conflicting portfolio material retained\. Not independent verification\.
