Research Paper Q&A Library Tool

Researchers waste time manually extracting data from papers and organizing findings. This tool automatically extracts methodology, findings, and figures from academic papers across PubMed, Scholar, and journals, then lets users query their entire library with a Q&A interface. Target users are academics, PhDs, and researchers doing literature reviews.

RAG-over-PDFs tooling has exploded since GPT-4's context window made it viable, and academic literature review is one of the few use cases where users have a clear, recurring pain they'll actually pay to solve. The closest incumbent is Elicit, which has raised significant funding and already targets this exact workflow, making differentiation non-negotiable rather than optional. The $500–2k/mo revenue band is plausible for a solo founder with a small base of paying PhD students and postdocs, but academic budgets are notoriously tight and institutional procurement is slow, so growth past that ceiling likely requires landing lab-level or department-level deals. The biggest risk is Elicit, Consensus, and similar well-funded players commoditizing the core Q&A-over-papers feature before a bootstrapped version can establish any defensible niche or distribution advantage.