Hear what every customer is actually telling you.
App-store reviews, social posts, and support tickets read together — so product, support, and marketing finally act on the same signal instead of three different guesses.
Built for products people review, post about, and rely on.
If your customers leave reviews, vent on social, and open tickets when something breaks, Kinn turns all of it into one organized picture.
Every surface your customers use, read as one.
Each team lives in a different channel. Kinn reads them together so nobody's working from a partial view.
Reviews & ratings
Reddit & X
Tickets & email
Discord & forums
Catch a 1-star trend before it tanks your rating.
Kinn watches review and social sentiment in real time and flags a forming complaint while it's still small — not after your store rating has already slid, and the install rate with it.
Turn support tickets into a ranked roadmap.
Every ticket, review, and post about a missing feature, clustered and ranked by how many customers actually asked — so the roadmap reflects demand, not whoever was loudest in the last meeting.
- Offline mode1,240 mentions
- Dark theme on web612 mentions
- Family / multi-profile billing488 mentions
- Faster export203 mentions
Know what each release actually changed.
Tie review and ticket sentiment to the version it came from. See whether the update fixed the thing customers hated — or quietly broke something else — without reading a thousand reviews by hand.
Meet your support & community agent.
The support agent works your review and ticket stream like a teammate — clustering complaints, flagging a rating risk the moment it forms, and drafting the weekly voice-of-customer digest, around the clock.
Questions product teams ask us.
How do you handle customer PII?
Review and ticket content is processed for analysis, not resold. You control which channels connect, and deleted content drops out of the index.
Does it plug into our support tool?
Yes — Zendesk, Intercom, and others connect alongside your app-store and social channels, so tickets are read in the same corpus.
How is usage priced?
Token-based, not per seat. Anyone on your team can ask questions; heavy automation uses more tokens than simple lookups.
Will it keep up with our review volume?
Built for it. High-volume consumer apps are the point — the more reviews and tickets, the more signal Kinn organizes.
Connect your channels. Ask your first question today.
14-day trial. Connect your stores, social, and support, and the index builds the same day.