Everyone has documentation - make it better immediately with a GPT-4 or ChatGPT AI assistant 💪 Ask Relevance connects to your documentation and provides you an API request or embeddable Widget to build the best in-app help centre.
From documentation to GPT-4 powered support in 5 minutes
Everyone has documentation - make it better immediately with a GPT-4 or ChatGPT AI assistant 💪 Ask Relevance connects to your documentation and provides you an API request or embeddable Widget to build the best in-app help centre.
Hey all 👋 I'm Daniel, co-founder of Relevance AI and I'm excited to launch Ask Relevance - your custom AI support assistant - on PH! 📝 In-app help and documentation is one of the best places to benefit from AI today and so we made it possible for users to connect their documentation and get an AI assistant they can embed via a widget or API. 💃 We believe builders need the ability to customise and control the way their assistant works which is why we've made it available for direct integration vi
Solving a big usecase, congratulations team
EXCITED TO TRY THIS OUT! Been waiting for this since I first tried ChatGPT. Cody tried but not there yet. Hope this is it!
Congrats on the launch. The way you've enabled AI to work with different data types like CSV, PDF, and websites is simply impressive! 🤖🧠 Not to mention the seamless integrations with Github, Zendesk, Webflow, and more. Your GPT-4 powered widget will definitely boost user experience and provide valuable insights in minutes. Keep up the fantastic work! 😄👏
Product looks great! Congrats on your launch!
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.
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.