PageLens AI is now on Product Hunt.
That is a small milestone, but a meaningful one for us. PageLens started as a practical tool for checking whether AI-built websites were actually ready to launch. The more we used it on our own site, the clearer the product became: founders and vibe coders do not need another dashboard. They need a fast, evidence-backed QA loop before users, investors, customers or Reddit find the problems.
Product Hunt feels like the right place to put that in front of people who are building quickly and launching publicly.
What PageLens does
PageLens scans public websites and apps for launch-readiness issues across SEO, accessibility, mobile UX, performance, security headers, AI Search readiness, content, design, trust signals and more.
The report is designed to be useful in three ways:
- humans can read the live report and understand what matters,
- stakeholders can use the PDF as a clean QA artefact,
- AI coding agents can use the Markdown export as a repair checklist.
That last part is the loop we care about most:
- Run a scan.
- Export Markdown.
- Paste it into Cursor, Claude, Lovable or Bolt.
- Review the proposed fixes.
- Re-scan and prove the score improved.
It turns launch QA into something repeatable instead of something you remember to do only after the first complaint.
Why Product Hunt matters
Product Hunt launches are unforgiving in the best possible way.
People click quickly. They judge quickly. Broken social previews, weak hero copy, slow mobile pages, missing trust links, confusing pricing, inaccessible forms and security warnings all get noticed faster than you expect.
That is exactly the moment PageLens is built for.
If you are preparing your own launch, start with the Product Hunt launch QA guide, run a free instant check, or read the Vibe Coding learning path before you push the button.
And if you are on Product Hunt, we would love a follow:
— Anna