Knowledge Graph & Connection Discovery

Users struggle to see patterns and connections across articles, papers, and notes they've saved. A tool that uses AI to automatically discover hidden connections and relationships across your personal knowledge base, helping you build deeper understanding. Target users are researchers, students, and knowledge workers.

The surge in personal knowledge management (PKM) tooling — Obsidian's graph view going mainstream, Notion's dominance plateauing, and the "second brain" movement gaining real traction — means users are primed to pay for smarter connection-discovery rather than just storage. Obsidian with its plugin ecosystem is the closest substitute, and several plugins already attempt AI-powered linking, which means the incumbent problem is partially solved by a free, extensible tool most of the target audience already uses. The $1k–5k/mo revenue band is realistic only as a bootstrapped solo project; researchers and students are notoriously price-sensitive, and knowledge workers who'd pay more are already locked into enterprise tools like Notion AI or Microsoft Copilot. The single most likely failure mode is the "cool demo, low retention" trap — connection graphs are genuinely impressive on first use but lose value fast if users don't consistently add new material, making churn brutal and word-of-mouth unreliable.