lnkiai/m3e-canvas

Sketch Material 3 Expressive screens in the browser and turn them into vibe-coding prompts.

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Summary Information

Updated 38 minutes ago
Added to GitGenius on September 11th, 2026
Created on September 2nd, 2026
Open Issues & Pull Requests: 2 (+0)
GitHub issues: Enabled
Number of forks: 640
Total Stargazers: 6,309 (+7)
Total Subscribers: 20 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 1.6 hours
Mean response time: 5.8 hours
90th percentile: 16.5 hours
Tracked items: 20

How this project is maintained

Around half of the issues opened in the past year never receive a reply. Only 17% of issues opened in the past year have been closed. Three people close 100% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 2
New in 7 days: 16
Closed in 7 days: 16
Avg open age: 1 days
Stale 30+ days: 0
Stale 90+ days: 0

Recent activity

Opened in 7 days: 13
Closed in 7 days: 12
Comments in 7 days: 1
Events in 7 days: 2

Top labels

  • enhancement (11)

Detailed Description

M3E Canvas is a browser-based design tool that lets you sketch Material 3 Expressive screens and generate prompts for AI coding tools.

The tool addresses the workflow gap between design and implementation by letting designers rapidly prototype Material 3 interfaces visually, then export those designs as structured prompts that AI coding assistants can understand and build from. You sketch screens in the browser, link them together to create navigation flows, tap through the prototype to verify interactions, and copy a prompt describing your design. That prompt can then be pasted into any AI coding tool—Claude Code, Gemini CLI, Cursor, or similar—to generate working code. The approach eliminates manual handoff documentation and lets designers stay in a visual medium while leveraging AI for implementation.

Choose this tool if you want to prototype Material 3 designs quickly without learning a separate design application, or if you're already working with AI coding assistants and want a streamlined way to communicate visual requirements. It suits projects where you're comfortable with Material Design's component library and want to move fast from concept to code. The tool runs entirely in the browser with no backend, storing work in local storage, so there's no account setup or server dependency.

The project shows consistent deployment automation with a working CI pipeline. Development activity centers on the core sketching and prompt-generation functionality rather than expanding the feature surface.