I couldn't find a good AI tool for my research, so I built one

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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.

Visit product View on Hacker NewsJun 25, 2025

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nativeThis product was originally launched on this platform.

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