OverlayQA

OverlayQA

Design QA that turns visual feedback into dev-ready issues

hello1164
@hello1164
Published on May 25, 2026
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Details

Categories
Design Tools
Pricing
Subscription from $39
Platforms
Web

Discovery signals

How AI and people discover OverlayQA on PeerPush

Read by AI engines 30dEngines readingHow many times AI crawlers read this listing, and which engines those crawlers belong to.
68
  • ChatGPT
  • Claude
  • Perplexity
  • +4 other AI crawlers

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Crawlers behind these engines read this listing on PeerPush.
ConsistencyRead consistencyHow many of the last 30 days this listing was read by any AI at all.
20 of 30 days

Read by AI

Read by AI on 20 of the last 30 days.
Search index all-timeSearch indexTimes a search engine AI indexer, such as OAI-SearchBot, crawled this listing.
240 crawls

ChatGPT Search indexer

By OAI-SearchBot, the ChatGPT Search indexer, since launch.

About OverlayQA

OverlayQA is a visual QA and design feedback platform for web teams. Click any page element to capture screenshots, CSS selectors, computed styles, and browser metadata in one action. AI drafts structured issues with severity and technical context. Compare live builds against Figma designs, run WCAG accessibility audits powered by axe-core, and scan pages for design token drift. Two-way sync with Jira, Linear, Notion, and Slack keeps status, assignee, and comments updated across tools. Works on localhost, staging, and production. Free tier available, pricing starts at $39/mo.

Screenshots

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Reviews (0)

hello1164

I built OverlayQA because design QA was eating 3+ days of back-and-forth on every project. A designer screenshots a spacing issue, pastes it in Slack, the dev asks "which page? what breakpoint?" and the cycle repeats. Now you click the element, and the issue ships to Jira or Linear with the screenshot, CSS values, viewport, and browser metadata already attached. No copy-pasting, no "can you send me the URL?" The part I'm most excited about: the accessibility and design system audits. One scan catches WCAG violations and token drift that nobody was checking manually. Most teams discover 40-60 issues on their first run. Would love feedback from anyone doing QA on client sites or managing design handoffs. That's exactly who we built this for.

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