Turns Slack threads, app store reviews, and support tickets into actionable product insights โ automatically.
Every product team has the same problem: feedback is everywhere. Slack channels, Intercom, Zendesk, App Store reviews, sales calls, NPS comments, customer interviews. Olvy ingests all of it, uses AI to cluster themes, surface feature requests, flag churn risks, and route insights to the right person โ without anyone manually tagging a single ticket. Think of it as a 24/7 junior PM who never sleeps and reads everything.
Who it's for: Product managers, founders, and customer success leads at SaaS companies doing $1Mโ$50M ARR who are drowning in unstructured feedback. Especially strong fit for B2B SaaS with active Slack communities and a sales team.
Native integrations with Slack, Intercom, Zendesk, HubSpot, Gong, App Store, Play Store, Discord, Twitter, and email. One Olvy inbox for every channel.
Olvy groups thousands of feedback items into a handful of recurring themes โ "billing confusion," "mobile crash on iOS 17," "want SSO" โ automatically, and re-clusters weekly.
Surfaces accounts whose feedback tone has shifted negative over the last 30 days. Get an alert before renewal, not after the cancellation.
Pull releases from GitHub/Jira and Olvy drafts a customer-facing changelog entry for each one. Edit, publish, close the loop with users who asked for it.
If you've ever said "we should really go through our support tickets and find patterns" and then didn't, Olvy is the version of you that does. It pays for itself the first time it surfaces a churn-risk account two weeks before renewal.
Full product management suite with feedback collection. Olvy is the AI layer on top.
Session recordings + on-site surveys. Behavioral data, not feedback-inbox AI.
Open-source product analytics with session replay and feature flags.
Issue tracker of choice for modern product teams. Olvy's natural destination for insights.