199 Interest Score
46 Discussions
0.23 Engagement
Apr 2023 Launched

Learning hub is the ultimate solution for anyone who wants to organize their learning resources in one place. Focus on your learning in progress, prioritize what's next, and access all finished or saved resources in your personal knowledge management.

What the Community Said

Hey Product Hunters! ✌️ Today I'm happy to share with you one of my products - Learning hub 🤓 Learning hub is for anyone eager to learn new things through courses, books, articles, or any other resource. This hub ensures you have absolute control over your learnings. Why I built it? 👨‍💻 I had ton of resources in my databases that were labeled in different states - a few courses in progress, partially read articles, and books that I started but decided not to read anymore. I wasn't sure what is t

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Looks great and I think it will be a fantastic tool! Congrats on such an incredible launch. In the past, I was at Coursera and if you figure out a way to integrate with some of the the existing ed-tech platforms, it would be fantastic!

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These resources are amazing. Saving in my list. Good luck and congratulation on the launch

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I think some structure to design a sort of curriculum or path towards a goal, it's not the resources I want to prioritise so much as building up specific skills and knowledge.

— [REDACTED]

Hi, congrats on the launch! I am wondering is it some kind of task tracker focused on learning?

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Frequently Asked Questions

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.

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