Executive Summary

Many individual creators, SMB teams, and product/marketing groups waste hours rebuilding prompt context and hunting scattered notes across apps, which makes LLM-assisted creative work slow and error-prone. That pain is especially acute for teams that use multiple tools (Google Docs, Notion, Figma, Slack) where context doesn’t travel with the work. You could build a lightweight cross‑app context store with a browser extension and simple API that captures contextual notes, attachments, and embeddings, surfaces LLM‑ready prompt snippets, and performs fast similarity retrieval to augment prompts in any app. The product would prioritize one‑click insertion, fine‑grained sharing for teams, and turnkey integrations with popular SaaS tools so value is immediate. The market looks attractive now: about $9.6B TAM (8M teams × $1,200 ACV) driven by daily LLM adoption among creators and SMBs, cheaper embedding APIs that make retrieval augmentation practical, and a user preference for composable tools over monoliths. These trends lower customer acquisition friction and create clear monetization paths via team subscriptions and developer APIs. You can differentiate by being privacy‑forward, hyper‑integrated (extension + SDK), and optimized for minimal setup so teams see ROI in days rather than months. That said, success requires excellent UX, deep integrations, and smart go‑to‑market execution because competition is medium and incumbents could copy basic features quickly.

Market Opportunity

Keep contextual notes and LLM-ready research across apps to speed creative work targets a $9.6B = 8M teams × $1,200 ACV (annualized subscriptions for team/prosumer context & LLM tooling) total addressable market with medium saturation and a year-over-year growth rate of 25% YoY — generative AI adoption and knowledge management growth (industry estimates and analyst commentary, 2023-2025).

Key trends driving demand: Generative AI adoption — more individual creators and SMBs use LLMs daily, creating demand for tools that manage prompt context and reduce repetitive setup.; Embedding-driven retrieval — cheap, effective embedding APIs enable fast similarity search and retrieval augmentation, making context stores immediately useful.; Workflow composability — users prefer small, focused tools that integrate via APIs and browser extensions rather than monolithic apps, creating openings for niche integrations.; Privacy and ownership emphasis — some users demand local-first or exportable context which favors tools that offer both hosted convenience and data portability..

Key competitors include Mem, Notion, Obsidian (with plugins).

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Keep contextual notes and LLM-ready research across apps to speed creative work

Executive Summary

Market Validation

Market Opportunity

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