Show HN: I couldn't find a good AI tool for my research, so I built one (opens in new tab)

I went back to some pure math research recently and was looking for tools to help with the exploratory phase: navigating the literature, connecting ideas between fields with very different terminology, and tracking thoughts and approaches long term. I felt there were a lot of gaps, so I spent the last few months training models and building my own solution, Sugaku.net.

It started with a focus on mathematics, and after a lot of great feedback from professors, I've expanded it, ingesting and indexing over 200 million papers from across all academic fields. The support for non-math fields is newer and more experimental, so I'd love your feedback on it.

What it does:

- Ask questions: You can ask natural language questions against the entire 200M paper corpus.

- Explore connections: citation prediction and semantic similarity to discover work you might have missed.

- Build Projects: Organize papers, notes, and ideas into projects that you can share with others. You can use an AI collaborator within the project to brainstorm or summarize.

- Stay Updated: It actively monitors new preprints and papers to alert you to research relevant to your interests.

The site is https://sugaku.net/

I'd love your feedback, especially from those of you outside of mathematics, on the search and the workflow. Also happy to get any feature requests.