Fully automate bug discovery and triage.
Users file GitHub issues. Fans complain on forums. Everyone chats in Discord. Kinn reads them all, knows they're the same bug, and manages prioritizes your backlog behind the scenes.
Your bug reports don't file themselves neatly.
One crash, described six ways, in six places, by people who will never read each other's posts.
Follow it through the pipeline.
From scattered noise to a ticket your engineers can start on — automatically.
Discover real-time
Every channel ingested in real time. The Steam review, the GitHub issue, the Reddit thread, and the crash telemetry all land in the same corpus within minutes of being posted.
Deduplicate 147 → 1
Kinn clusters by symptom, not keywords. "Inventory freezes," "UI lockup," and a NullReference stack trace get recognized as one issue with 147 correlated reports.
Enrich confidence
Affected versions, platform skew, repro steps normalized from every description, and a root-cause hypothesis with a confidence score.
Hand off cited
A draft ticket lands in Jira or Linear with every source cited. Your engineers start from a repro, not from "players are mad."
Some bugs can't wait for the morning standup.
A dupe glitch or a wallhack spreads at the speed of YouTube. Kinn watches for the velocity signature of an exploit going viral and alerts your team while it's still containable.
Triage that pays for itself.
Stop reading the same bug five times.
Connect your channels and watch the first cluster form the same day.