Turn your course sales page into a suite of custom, branded AI tools for your students. Paste your course URL. We analyze it and generate AI tools that mirror your framework, carry your brand, and guide students 24/7 - no coding required.
Turn your course into a full suite of embeddable AI agents
Turn your course sales page into a suite of custom, branded AI tools for your students. Paste your course URL. We analyze it and generate AI tools that mirror your framework, carry your brand, and guide students 24/7 - no coding required.
Hey Product Hunt! 👋 I built CourseKit because I kept seeing the same problem in the course creator space - great teachers, great content, students who still struggle to execute. Students don't need more information. They need guided help doing the thing. So I built a tool that reads your sales page and generates a suite of AI-powered implementation tools specifically designed around YOUR course. Branded, embeddable, shareable - ready in one click. I'm launching free access today and would love y
This is a really unique spin on tackling retention for online courses. Are there any plans in the future to go beyond just feeding information from the sales page (e.g. a PDF that provides details of a full course for the AI to reference to as an example)?
Very cool! What llm are you using and how are you covering the api costs? Well done!
Really cool concept. The "students don't need more info, they need help doing the thing" framing is spot on. I've bought courses where the content was solid but I'd still get stuck on execution. Curious — do the AI tools stay updated if the creator changes their course content, or is it a one-time generation?
This makes sense for individual course creators but I am curious whether it works in a corporate learning context too. When we run internal training programs there is no public sales page — the content sits behind an LMS. Are you planning a version where Coursekit pulls from the actual course instead of the public-facing page?
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.
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.