aradzie/keybr.com

The smartest way to learn touch typing and improve your typing speed.

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Summary Information

Updated 21 minutes ago
Added to GitGenius on September 14th, 2026
Created on September 25th, 2023
Open Issues & Pull Requests: 324 (+0)
GitHub issues: Enabled
Number of forks: 461
Total Stargazers: 4,729 (+0)
Total Subscribers: 29 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 10.7 days
Mean response time: 66.2 days
90th percentile: 223.9 days
Tracked items: 180

Most active contributors

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How this project is maintained

Around half of the issues opened in the past year never receive a reply. 98% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. 74% of tracked open issues have had no activity in three months, so the open count overstates what is actively being worked. Only 6% of issues opened in the past year have been closed. Three people close 65% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 217
New in 7 days: 1
Closed in 7 days: 0
Avg open age: 484 days
Stale 30+ days: 210
Stale 90+ days: 190

Recent activity

Opened in 7 days: 1
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • enhancement (9)

Most active issues this week

No issue events were indexed in the last 7 days.

Detailed Description

keybr.com is a typing tutor application that teaches touch typing and helps users improve their typing speed through adaptive lessons and detailed performance tracking.

The tool addresses the challenge of learning efficient touch typing by moving beyond simple typing tests. Rather than presenting random text, it tracks every keystroke and analyzes performance on individual keys to identify weaknesses. The core approach generates personalized lessons that focus on the keys where users struggle most. The system starts with the most frequent letters in a chosen language and progressively introduces additional letters once users reach their target speed with the current set. This adaptive methodology allows the tool to estimate how many additional lessons a user needs to complete their learning goal.

The project suits anyone wanting to develop genuine touch typing skills rather than simply measure their current speed. It works well for users who benefit from structured, data-driven feedback and prefer customizable learning targets over generic exercises. The tool's strength lies in its per-key statistics and progress visualization through detailed graphs on a profile page, combined with multiple modes and configuration options that let users tailor their learning experience.

The project maintains an active community engagement channel through Discord and explicitly welcomes contributions across multiple dimensions: bug reports, feature suggestions, translations into additional languages, custom keyboard layouts, and new language support. The codebase is written in TypeScript and published under an open-source license, with documentation provided for contributors wanting to launch local instances or extend the tool's functionality.