Overhub: One feed instead of ten tools

Monday morning, 8:30. Your inbox holds the Lighthouse report, an email from Search Console, an export from the accessibility check and a message from a customer saying the cart freezes on mobile. Four sources, four formats, four priorities. Which one is costing you revenue right now?

No single tool answers that question. That is why we built Overhub: a platform that brings all quality data of your shop into one feed and turns it into a list you can actually work through.

A grown Shopware or Shopify shop is checked from many sides today. Lighthouse measures Core Web Vitals, Search Console reports indexing issues, a crawler finds broken links and duplicate titles, an accessibility check counts missing labels. Add uptime, TLS certificates, security headers, cookie banners and tracking.

Each of these tools is right. The problem is that each is only right on its own. Results arrive as CSV exports or emails, in their own schemas and with their own weighting. What comes first is decided by someone by hand. Translating findings into actions is the most expensive part of quality assurance, and most teams do it again every week.

A missing alt attribute in the product template shows up on every product page in a crawl. A classic report then lists 214 findings. In reality there is exactly one cause and exactly one fix.

That is why Overhub groups findings across all URLs. Same cause, one group. If a second scanner reports the same problem, Overhub merges both reports instead of listing them twice. A list with hundreds of rows becomes a handful of tasks, each with a clear place in the code or the CMS.

Findings are sorted by four factors: severity, category, effort and the number of affected pages. A broken checkout ranks above a meta title that is too long, even if the title appears on more pages.

We deliberately skip a euro score that claims to calculate exact revenue loss. Such numbers look precise but are hard to back up. Instead, every factor of the ranking is visible and verifiable. A language model can phrase titles, reasoning and actions more clearly. The order itself is decided by a fixed rule table, not by AI.

Setting a ticket to “done” is easy. Whether the error is really gone only shows in the next run. Overhub keeps these two things strictly apart: reporting a fix triggers a targeted re-check. A group is closed only when the scan no longer finds it.

If a fixed error comes back, for example after a plugin update or a deploy, Overhub reopens the group. So you see not only what is open, but also what demonstrably works. Progress you can prove instead of claim.

The feed is written for people: clear titles, a reason, a concrete action. At the same time, Overhub connects directly to Claude and ChatGPT via MCP. A developer or their coding agent picks up the next task, reads the project context with brand, goals and exclusion rules, reports the fix and triggers the re-check.

The line is clearly drawn: an agent may report fixes and justify false positives. Only the scan sets a group to “fixed”. That keeps the status reliable, whether a person or an AI worked on the code.

Overhub is a product by ONEDOT. We use it for the shops we look after, mainly on Shopware and Shopify. For external shops, Overhub is now starting in early access: the first shops get access and a personal onboarding session. You can join the waitlist at overhub.io.

Our honest recommendation: Overhub does not replace UX testing or a shop system. It is the layer underneath that keeps technical quality visible over time. Your own team can fix what it finds, or we take care of it as your e-commerce agency.

More tools do not make a shop better. A clear order does. Overhub groups what belongs together, sorts by what matters first and closes tasks only when the scan confirms it. Knowing every morning what is slowing your shop down: that is the point.