Search through thousands of educational video content and get exactly what you're looking for. We've embedded tens of thousands of educational youtube videos, and now you can get all the relevant segments that you need!
Search YouTube videos using AI and get relevant segments
Search through thousands of educational video content and get exactly what you're looking for. We've embedded tens of thousands of educational youtube videos, and now you can get all the relevant segments that you need!
There's so much knowledge that gets lost in podcasts, university lectures, or other long-form content. That's why I made notclass - to leverage all the existing knowledge that can be found in free online resources. In our digital era, online courses have become obsolete. Access to high-quality education that's also presented in a structured way should be free. I hope you find notclass useful, and that you can pass this product along to others as well.
Congrats on the launch! This sounds like a game-changer for educators and learners alike. How will you be expanding your video library in the future?
i really like this, i think you should take some insights from vidiq for other tipye of data points, love to see how this evolves
Notclass seems like a great tool for accessing educational content in a more efficient way. How does it identify and segment the most relevant parts of a video? Does it support different types of content, like tutorials or lectures?
@MariusManolachi This is an interesting concept, but I wonder how notclass ensures the accuracy and relevance of the segments it provides. With so many educational videos out there, how do you filter out low-quality content? Looking forward to your thoughts on this!
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.
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.