AI-based text interfaces unlock a new way to interact with software, but it's difficult to find insights in unstructured text. Tidepool finds patterns in user text interactions to help you make better product decisions.
Product analytics for AI applications
AI-based text interfaces unlock a new way to interact with software, but it's difficult to find insights in unstructured text. Tidepool finds patterns in user text interactions to help you make better product decisions.
Hey everyone, excited to do our second launch on Product Hunt! It's been really exciting to see the massive interest in AI this year! There's a lot of cool things people are building with foundation models like ChatGPT, Claude, and Stable Diffusion. However, it still feels like we're pretty early in figuring out how to use AI in the right way - over the last few months, we've talked to a lot of people in the space, and a theme that we noticed is that the work of an AI developer is now about buil
Impressive! Check my site wikigpt3.com and email me your app details and I can help get your app listed on my directory and other 100+ AI directories. Feel free to reply if you want to know w more.
This looks great Peter! We're building AI features with unstructured data and similarly have low visibility into what's happening under the hood. Excited to check it out!
Looks interesting! gonna try it out
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.
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.