Discover insights from unstructured conversational data
We are a Voice-of-the-Customer platform that leverages AI to analyze unstructured conversational data. We uncover valuable insights from your community's public data sources, focusing on identifying business opportunities, improving customer success, and more.
Hey Product Hunters! I’m Victor S, one of the makers of Sushidata. Alongside George and another Victor—whom we call ‘AI Victor’—we built Sushidata to solve a challenge we faced over and over again: how do we efficiently understand what customers are saying, build better products from their feedback, and quickly identify new opportunities—no matter where the conversation is happening? At our last startup, we spent countless hours every week reading feedback, summarizing it, and responding to user
A lot of promise in analyzing messy data, though the real value probably depends on how well it understands context and nuance.
Wow this is quite interesting ! Well done!
Finding hidden customer voices and making them actionable? Sign me up!
It’s wild how fast we spotted a feature gap just from casual Discord chats.
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.
Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.