Gatsbi

Connected Papers is a visual tool designed to assist researchers and applied scientists in discovering and exploring academic papers pertinent to their field of work. By inputting a "seed paper," users can generate a graph that displays related papers based on a similarity metric derived from co-citation and bibliographic coupling analyses. This approach allows for the identification of relevant literature, even when direct citations are absent. The resulting graph provides a visual overview of the research landscape, highlighting seminal works and potential areas for further exploration. Connected Papers aims to streamline the literature review process, making it more efficient and comprehensive for researchers.

Resea AI is a full-featured academic research assistant that autonomously plans, conducts, and writes in-depth academic tasks from literature review to report drafting. It connects seamlessly with major scholarly databases such as Google Scholar, PubMed, and arXiv to source trusted research, then employs its proprietary “Think and Research” engine to determine research direction, core concepts, and writing angles through multi-stage inquiry. Feeding into its AI writing editor, Resea AI is capable of generating documents of unlimited length (even up to 50,000 words), and offers interactive editing for fast refinements. It ensures academic rigor through support for dozens of citation formats with accurate source indexing. It evaluates performance with benchmarks like xBench‑DeepSearch that measure deep research capabilities. Additional use cases include systematic literature reviews, academic outlines, content synthesis, reviewer-perspective feedback, and more.