I built Chatter because I was spending too much time copy-pasting feedback from my Discord channels and GitHub issues into a spreadsheet. I realized I was reading the same bug report 50 times, just phrased differently.
The Problem: When you have a community, feedback is fragmented. A user complains on Discord, another opens a GitHub issue, and a third emails support. It’s hard to see the magnitude of a problem when the data is siloed and unstructured.
What I built: Chatter is an aggregator that listens to these channels via webhooks/API. instead of just listing the messages, it runs them through a clustering algorithm to group semantically similar complaints.
It’s still early days, so I’m looking for feedback on the grouping accuracy and what other integrations (Slack/Linear/Intercom) you’d find most useful.
Thanks!