Freeform note capture that auto-structures into projects & tasks

Freeform note capture that auto-structures into projects & tasks targets a $30.0B = 300M knowledge workers x $100/year total addressable market with medium saturation and a year-over-year growth rate of 15% estimated growth for AI-enabled productivity tools.

Key trends driving demand: AI-first productivity -- LLMs can now auto-summarize and infer structure from raw text, enabling new UX paradigms where structure is derived after capture.; Semantic search & embeddings -- vector search makes retrieval from messy notes effective, increasing value of continuous note capture.; Developer 'docs-as-code' convergence -- teams want notes tied to code, PRs, and CI; integrating these signals unlocks higher utility for engineering users.; Privacy & local-first tooling -- demand for private/enterprise-safe AI workflows is rising, creating an opening for on-device or opt-in cloud models..