Hey Product Hunt! 👋 I built Nexlit because I was tired of drowning in research papers. During my work in AI/ML, I'd download dozens of PDFs, save them in random folders, and weeks later I couldn't find that one paper about a technique I needed — because I couldn't remember the exact keywords the authors used. So I built what I wished existed: a personal research paper library with AI that actually understands the content. Here's how it works: Upload your PDFs — Nexlit automatically extracts text and generates summaries Search by meaning — not just keywords. Ask "methods for reducing model size" and find papers about pruning, quantization, distillation Ask questions across your entire library — get answers with citations pointing to the exact page in the source paper The tech stack: React frontend, Python backend, OpenAI embeddings for semantic search, Anthropic Claude for Q&A, Pinecone for vector storage, all on AWS. It's free to use right now. I'd love to hear your feedback — especially from researchers, PhD students, or anyone who reads a lot of papers. What would you want to see next? 🚀

Nexlit

AI-powered research paper library

AI-powered research paper library