Know your users.
userken. turns App Store and Google Play reviews into a searchable knowledge base — with synthetic personas you can interview, theme breakdowns, and semantic search across competitors.
Personas last updated 46d ago
Three things, fast.
Concept-level search.
Every review is embedded into a 1024-d vector. Ask in natural language — "users frustrated by paywall after a free trial" — and get the closest matches across all competitors.
Synthetic focus groups.
Personas are clustered from real review patterns: ad-fatigued readers, paywall refugees, crash reporters. Talk to them in Claude with their actual quotes as evidence.
Themes & sentiment.
Auto-tagged across notifications, ads, paywalls, performance, and more. Compare publication-by-publication, slice by rating, watch shifts after major releases.
Lives in your Claude.
Connect once.
Add the MCP URL to Claude Desktop or claude.ai web. userken. exposes its tools alongside everything else you already use.
Ask in plain English.
"What do Bloomberg users say about the watchlist?" "Run a focus group on charging $2 more for ad-free." Claude picks the right tool and answers with real quotes.
News and browsers, more tomorrow.
News and browsers are live. The same pipeline — embed every review, cluster into personas, expose to Claude — extends to any consumer category. Up next: finance, health & fitness, productivity, streaming. If you have a category you'd like indexed, get in touch.