Keep LLM context and notes in a searchable, reusable pocket dimension

Keep LLM context and notes in a searchable, reusable pocket dimension targets a $9.0B = 30M teams × $300 ACV (knowledge worker & SMB productivity + LLM context add-ons) total addressable market with medium saturation and a year-over-year growth rate of 20% YoY — estimate from combined AI productivity and knowledge management growth (sources: Gartner/IDC 2023-2024 market commentary).

Key trends driving demand: Trend — RAG and in-context memory are becoming standard practice for LLM applications, creating demand for persistent, queryable context stores.; Trend — Teams prefer hosted, low-friction integrations (extensions, APIs, plugins) that plug directly into model calls rather than manual copy/paste.; Trend — The rise of AI-first workflows has shifted value from raw note storage to retrieval quality and prompt-ready context, favoring products optimized for LLMs.; Trend — Increasing interest in privacy and data governance is driving demand for team-level access controls and encrypted storage for sensitive context..