Upstar ranks GitHub repos by how fast they gain stars, topic by topic. How trending works
ryuxdsgn/design-intelligence
RYUX gives AI agents the design intelligence to understand product context, make intentional design decisions, and evaluate what they create.
Updated 36 min ago
Growth
- Last 24 hours
- +1
- stars
- Last 7 days
- +46
- stars
- Last 30 days
- +50
- stars
- Total stars
- 50
- created 19 days ago
- Forks
- 1
Top 3 in UI & design systems this week
- 1 deeplethe/solid-glass +1.3k stars this week
- 2 tryliner/desktop +381 stars this week
- 3 Caho1/open-claude-ui +815 stars this week
This repo: #28 of 132 this week, #89 of 310 this month.
Also this week: #29 in Design tools, #144 in Agent skills, #166 in AI agents, #169 in MCP, #240 in Claude Code, #312 in TypeScript
See all 132 UI & design systems reposStar history
Total stars at the end of each week, from GitHub’s daily star counts.
Why it’s rising: +46 stars this week, against ~3 in a usual week
Health signals
Too new to assessToo new to assess: the repository is less than 60 days old or has fewer than 10 commits. The signals below are shown for information only.
- Commit activity
- Commits every week since it was created (5 weeks) 225 commits on the default branch in 90 days
- Maintainers
- 1 commit author in 90 days Top author: 100% of the last 100 commits
- Issue responsiveness
- Too few issues to tell 0 issues opened by others in 90 days
- Pull requests
- None opened in 90 days
- Releases
- No GitHub releases Not counted: many projects ship without them
- Project hygiene
- License, CI and security policy
- OpenSSF Scorecard
- Not scanned Unknown, not counted against the project
Signals are computed automatically from public GitHub data. They are not an endorsement or a security audit. How health is computed
README
RYUX
Understand before you design.
AI can generate UI in seconds. But does it understand what it's designing?
RYUX helps AI agents make better-informed design decisions. It gives them a structured way to understand product context, separate facts from assumptions, decide, and verify the result.
The goal isn't more UI. It's fewer decisions made silently.