Show HN: ParkourNote – A research workspace, built solo in a month with Claude (note.parkourlabs.io)

ParkourNote, an innovative research workspace developed solo in just one month, has been launched, showcasing its potential to streamline the organization of academic materials. This tool enables users to import a wide array of content types—such as arXiv papers, EPUB books, web pages, and recordings—into an "Inbox," where it provides project suggestions based on the content, aiding researchers in efficiently categorizing their materials. Users can choose to accept suggestions, snooze items, or archive them, all while maintaining full control over their data organization. This development is significant for the AI/ML community as it exemplifies the integration of machine learning in research management, enhancing productivity and collaboration. ParkourNote's ability to identify duplicates and retain annotations and highlights upon import further streamlines the research process. By moving away from traditional folder structures to a project-based organization system, it allows multiple projects to access the same material without redundancy. This innovative approach addresses common challenges faced by researchers, making it a valuable tool for academic efficiency and workflow optimization.