One of our most requested features just shipped.
You can now target changelogs to specific customer segments in FeatureOS.
Enterprise update? Show it only to enterprise users.
Mobile fix? Only mobile users see it.
The right people get the right updates. No noise for anyone else.
feedback.featureos.app/chang…
Once you set those scores, FeatureOS automatically places the post in one of four quadrants:
💥 Quick Wins – High value, low effort
🚀 Big Projects – High value, high effort
🧩 Fill-ins – Low value, low effort
⛔ Time Sinks – Low value, high effort
We just shipped something that makes prioritizing ideas a lot easier in FeatureOS.
Introducing: Value vs Effort Scoring ⚖️
A simple way to see what’s worth building now, and what can wait.
🧵👇
🚀 Introducing: Forms & Surveys on FeatureOS
✪ Drag-n-drop visual forms builder
✪ Powerful conditional highlighting
✪ Sensible AI summaries and analytics
✪ Tight integration with existing tools
✪ Forms, Surveys, & Wizards
Included in all the plans!
Exactly why we built FeatureOS [featureos.app].
Most teams guess what to build next. We help product team to actually listen to users, prioritise what matters, and ship with confidence.
Most knowledge bases are broken. Hard to search. No insights. Users still raise tickets.
That’s exactly what our founder @imkarthikk set out to fix.
🔍 Vector Search
📣 Turn changelogs into help docs
📊 Built-in analytics
Try FeatureOS → featureos.app#knowledgebase
How do you sync Product and Dev without the back-and-forth? 🤔
With the new FeatureOS × GitLab integration:
✅ Feedback → GitLab issues
🔁 Real-time status sync
📣 Auto user updates
Now live for all FeatureOS users! 🚀
#GitLab#FeatureOS#ProductDev#SaaS#Building
You shipped the feature. You wrote the changelog.
But did anyone care?
Changelog Analytics by FeatureOS shows you:
– Who read it
– Top Visitors
– Guest vs User Views and more
Stop shipping blind. Start learning from your updates.
#featureos#productmanagement#tools#platform
MCP is incredible, so we decided to give it a shot for @getfeatureOS, and it feels like very promising tech for data analysis. We're soon releasing it for our customers.
Here is a glimpse of it:
The demo shows how we can search and filter FeatureOS posts with Cursor's chat UI