Hey Product Hunt! 👋 I’m thrilled to introduce Nodara - a simple AI deep research engine built around one core philosophy: Think in connected knowledge. 💡 Why we built this Whenever I researched complex topics (like Quantum Computing Fault Tolerance or Multi-Agent Consensus) using standard AI chatbots and agents too, I kept hitting the same friction: 1. Wall-of-text fatigue: Long linear answers that make it hard to see the big picture. 2. Shallow rabbit holes: Manually formulating prompt after prompt to explore sub-concepts. 3. Cognitive overload: Cluttered UIs filled with bells and whistles that distract from learning. We designed Nodara to turn research into a calm, structured visual map. You type a topic, and an agentic worker maps out the core pillars, underlying mechanics, and natural next-step research paths in an interactive node graph. ⚡ Key Features: - Constellation Knowledge Graphs: Powered by React Flow with interactive branch-expanding controls. - Stepped Tree Depth Controller: From rapid summaries (Depth 1) to exhaustive deep dives (Depth 4). - Split Accordion Drawers: Clean 2-column conceptual inspection for every node. - 1-Click Markdown / JSON Exports: Ready to import into Obsidian, Notion, or Logseq. - 100% Client-Side & Private: Saved locally in IndexedDB. Instant access, zero signup barriers. Try it live right now with no login: https://nodarahq.vercel.app/ We’d love to hear your feedback: - What topic did you map first? - What features would make your research workflow even smoother? Thank you so much for your support! ❤️

Nodara

Deep research, mapped. Think in connected knowledge.

Deep research, mapped. Think in connected knowledge.