Most website chat tools minimize human workload. Stand does the opposite: it helps product leaders learn from visitor conversations. What didn’t visitors understand? Why didn’t they convert? An AI stand-in answers questions 24/7, spots conversations worth joining, and brings you in with full context. It turns chats into product discovery insights you can trace back to the source. Free for 15 AI chats a week, with no credit card.
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Hi Product Hunt — I’m Joonas, founder of Stand and co-founder of Vaadin.
At Vaadin, thousands of conversations with developers at expo stands helped us reach product-market fit and build a community of 150,000 developers. We heard the same questions, objections, and unexpected use cases until the patterns became impossible to ignore.
Could we recreate that learning loop online? Could we understand what visitors misunderstood, why they left, and what would have made the product worth paying for?
Most website chat tools are built to minimize human workload. That makes sense for support, but it also keeps product teams away from conversations that contain critical product-market-fit evidence. I built Stand for the opposite job: helping product leaders get closer to high-intent visitors.
A named AI stand-in answers questions 24/7, asks follow-ups, and watches for moments you define—confused evaluators, pricing blockers, missing integrations, or unexpected use cases. When one appears, Stand asks the visitor for permission before bringing you in with the full context.
It also turns conversations into Product Discovery findings linked to the original transcripts, so every insight remains traceable to what visitors actually said.
Stand is free for 15 AI chats per week, with unlimited team members and websites. No credit card required.
I’d love to learn: what question about your product are analytics failing to answer—and on which page would you want that conversation to happen?
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honestly this is a pretty interesting angle, like turning chat into actual product research instead of just deflecting tickets. one thing that would be cool though, can you add a way to tag or categorize the recurring questions it surfaces, so over time you can spot patterns and feed them straight into your roadmap backlog
Stand does analyze chats automatically and sends a periodic (daily, weekly, or monthly) email digest that summarize recurring questions and patterns.
You can also define free-form qualifiers to label various conversation topics. For example you could define a "Feature Request" label that will be added automatically to conversations that ask for features. Those conversations are then listed separately on the above-mentioned digest. You can also get push notifications when conversations with that label happen to get pulled to those conversations live.
Finally, there is JSON export from history. You can for example filter to a specific label (feature request) and then export those conversations to Claude Work, ChatGPT, or anywhere else for analysis.
honestly this is a pretty interesting angle, like turning chat into actual product research instead of just deflecting tickets. one thing that would be cool though, can you add a way to tag or categorize the recurring questions it surfaces, so over time you can spot patterns and feed them straight into your roadmap backlog
@azatmikyaz20842 Thanks!
Stand does analyze chats automatically and sends a periodic (daily, weekly, or monthly) email digest that summarize recurring questions and patterns.
You can also define free-form qualifiers to label various conversation topics. For example you could define a "Feature Request" label that will be added automatically to conversations that ask for features. Those conversations are then listed separately on the above-mentioned digest. You can also get push notifications when conversations with that label happen to get pulled to those conversations live.
Finally, there is JSON export from history. You can for example filter to a specific label (feature request) and then export those conversations to Claude Work, ChatGPT, or anywhere else for analysis.
GitHits beta 0.9
I like the positioning, not minimizing human workload but focusing on discovery and learning.