Hi everyone, I'm Aayush, a Computer Science student at Rutgers and the creator of NeuroFlow. NeuroFlow started from a problem I kept running into while working on research projects. My workflow was scattered across PDFs, browser tabs, notes, and different AI tools. While there are plenty of tools that help you find papers, there are very few that help you connect ideas, understand the bigger picture, and explore new research directions in one place. That's why I built NeuroFlow. NeuroFlow is an AI powered research workspace that lets you search millions of research papers, build interactive knowledge graphs, chat with your research, identify potential research gaps, generate evidence backed hypotheses, and analyze research code, all while supporting local AI models for privacy and flexibility. This is an early release, and I'm launching today to get honest feedback from researchers, students, and developers. My goal is to build something that genuinely improves the research process, not just another AI wrapper. I'd love to hear your thoughts: What is the most time consuming part of your research workflow? What features would make a tool like this indispensable for you? Thank you for taking the time to check out NeuroFlow. I'll be here throughout the day to answer questions, discuss ideas, and hear any feedback you have.

NeuroFlow

Research engine of the future.

Research engine of the future.