WikiFix monitors your KB for issues like contradicting pages, duplicates and orphans, and fixes them in one click once you approve, so your team can trust what it reads or hears from AI.
After heaps of experimenting and benchmarking, I'm excited to bring you WikiFix! Big thanks to @fmerian and @oobydrnk for getting this launch off the ground!
If you've ever handled an incident with a broken runbook, failed audit due to stale compliance docs, or onboarded someone with outdated guides, you may appreciate a way to keep those docs clean and consistent without frequent manual reviews.
WikiFix monitors your spaces for issues - in v1 it's contradicting claims, duplicate and orphan docs. It asks you which answer is right, and writes a fix. You approve every edit and undo it in one click.
That's v1, which only looks inside Confluence. Next could be checking docs against code, configs, or Notion - we'll work out what matters most together.
Before launch I scanned a few publilc spaces (https://wikifix.ai/examples/). Even carefully maintained public docs from brilliant teams are not immune - NASA (57 conflictcts across 732 docs), GitLab (332 in 4,576), Sourcegraph (86 in 901), Kafka (168 in 1629)... E.g. Europa Clipper's electronics vault is made of: aluminum-zinc alloy or titanium/aluminum? 🛰️
Got a space you'd bet is fully consistent? Make it your first scan. If WikiFix finds nothing useful there, tell me, and get your credits back twice over.
I'm around all day. Ask me anything!
FAQ:
It's AI, so some findings are wrong: about 1 in 5 when we hand-checked them, depending on the wiki. WikiFix has a feedback button, and that's what we tune on.
Rovo (or any AI assistant for that matter) can help with targeted pages and problems, but not in spotting issues across the board. They start from your question and fetch the few pages likely to answer it. While finding contradictions starts from no question and puts every claim next to every other claim on the same topic or relevant code.
WikiFix starts out as a Confluence app but will go standalone in v2. Tell us if you want your KB platform supported.
About WikiFix for Confluence on Product Hunt
“Find and fix issues in your knowledge base”
WikiFix for Confluence launched on Product Hunt on October 4th, 2026 and earned 94 upvotes and 9 comments, placing #10 on the daily leaderboard. WikiFix monitors your KB for issues like contradicting pages, duplicates and orphans, and fixes them in one click once you approve, so your team can trust what it reads or hears from AI.
On the analytics side, WikiFix for Confluence competes within Productivity, SaaS and Artificial Intelligence — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how WikiFix for Confluence performed against the three products that launched closest to it on the same day.
Who hunted WikiFix for Confluence?
WikiFix for Confluence was hunted by fmerian. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of WikiFix for Confluence including community comment highlights and product details, visit the product overview.
fmerian
Hey Product Hunt! Rezgar from the video here.👋
After heaps of experimenting and benchmarking, I'm excited to bring you WikiFix! Big thanks to @fmerian and @oobydrnk for getting this launch off the ground!
If you've ever handled an incident with a broken runbook, failed audit due to stale compliance docs, or onboarded someone with outdated guides, you may appreciate a way to keep those docs clean and consistent without frequent manual reviews.
WikiFix monitors your spaces for issues - in v1 it's contradicting claims, duplicate and orphan docs. It asks you which answer is right, and writes a fix. You approve every edit and undo it in one click.
That's v1, which only looks inside Confluence. Next could be checking docs against code, configs, or Notion - we'll work out what matters most together.
Before launch I scanned a few publilc spaces (https://wikifix.ai/examples/). Even carefully maintained public docs from brilliant teams are not immune - NASA (57 conflictcts across 732 docs), GitLab (332 in 4,576), Sourcegraph (86 in 901), Kafka (168 in 1629)... E.g. Europa Clipper's electronics vault is made of: aluminum-zinc alloy or titanium/aluminum? 🛰️
Got a space you'd bet is fully consistent? Make it your first scan. If WikiFix finds nothing useful there, tell me, and get your credits back twice over.
I'm around all day. Ask me anything!
FAQ:
It's AI, so some findings are wrong: about 1 in 5 when we hand-checked them, depending on the wiki. WikiFix has a feedback button, and that's what we tune on.
Rovo (or any AI assistant for that matter) can help with targeted pages and problems, but not in spotting issues across the board. They start from your question and fetch the few pages likely to answer it. While finding contradictions starts from no question and puts every claim next to every other claim on the same topic or relevant code.
WikiFix starts out as a Confluence app but will go standalone in v2. Tell us if you want your KB platform supported.