Learning something new usually means juggling dozens of open tabs, videos, and different resources at once. This constant switching makes it hard to actually focus on the material, and the process often feels scattered and overwhelming. I started EulerFold to solve this by bringing everything into one place. Since AI models have already “read” most of the internet, using them to pull all those different sources into a single, clean path felt like the most logical way to fix the problem.
As I kept building, the focus shifted from just organizing links to making sure the learning actually sticks. I added features to help with retention, like a verification system and a way to “clone” roadmaps so your progress stays yours even if the original template changes. The goal is to turn that initial pile of information into a clear, verifiable record of what you’ve actually mastered. I’m currently looking at how this mix of automated organization and structured check-ins can scale into a better way for people to show what they know.