Capture scattered research and inject contextual notes into LLM workflows

Capture scattered research and inject contextual notes into LLM workflows targets a $12.0B = 75M knowledge workers × $160 ACV total addressable market with medium saturation and a year-over-year growth rate of 15% YoY — AI productivity and knowledge management tools expanding (source: McKinsey/industry reports 2023-2024).

Key trends driving demand: Trend — Rapid LLM adoption by knowledge workers increases demand for persistent, high-quality context that improves model outputs.; Trend — Embedding-based retrieval and vector DBs make fast semantic search practical and affordable for small products, enabling new retrieval-first experiences.; Trend — Increased focus on privacy and data ownership means users and teams prefer portable, exportable context stores over vendor-locked solutions.; Trend — Growth of composable AI tooling and browser/IDE extensions creates distribution channels for cross-app context injection..