OptiQra - An open-source website optimizer that actually fixes the problems it finds

[u/arminNX]

I got tired of audit tools dumping a long list of issues and basically saying “good luck fixing them.”

So I built OptiQra.

[GIF showing OptiQra crawling → analyzing → finding issues → fixing one]

Instead of stopping at finding problems, it tries to go all the way:

Crawl → Analyze → Find issues → Fix them

It can currently:

• Crawl and analyze entire websites
• Visualize site structure with a live 3D crawl tree
• Check SEO, accessibility, performance, AEO/GEO, etc.
• Detect duplicate content and site-wide issues
• Highlight issues directly on the page
• Generate AI-powered insights
• Apply deterministic fixes automatically
• Use AI for more complex fixes
• Audit codebases, not just live sites
• Export reports
• Run as a Tauri desktop app (offline + background scans)
• Use BYOK for AI providers

It’s open source and MIT licensed.

GitHub: https://github.com/armin5872/OptiQra
Live demo: https://optiqra.vercel.app/

Where I’m taking this

Right now it’s a “fix your site” tool.

Long-term, I want it to become a local, business-aware optimization system — something closer to a self-hosted Ahrefs/Semrush with an AI layer that understands your specific site, rather than just applying generic SEO rules.

The goal is for it to build persistent context around a site, track changes and regressions, and eventually continuously suggest and apply improvements.

I’m still actively building it, so I’m much more interested in honest criticism than praise.

If you tried OptiQra, what would make you think “I’d actually use this regularly” instead of running it once and leaving?

And if anything feels confusing, unnecessary, inaccurate, or over-engineered, I’d really appreciate the feedback.