Market Opportunity
Coding agents waste tokens grepping repos - one-command typed-graph fix targets a $6.0B = 2M engineering teams x $3K ACV (org-level code-intel/agent tooling spend). Assumes many orgs buy developer productivity tools and platform add-ons. total addressable market with medium saturation and a year-over-year growth rate of 20-30% (AI-assistant adoption and developer tooling spend growth).
Key trends driving demand: Agent-first development - LLM assistants like Claude Code and Cursor are becoming primary dev tools, increasing demand for efficient code context sources.; Token cost sensitivity - teams measure and optimize LLM usage to control cloud inference and embedding costs.; Mature static analysis and LSP tooling - existing tooling can be repurposed into typed graphs for fast agent queries.; Rise of local and hybrid privacy models - on-prem or private indexes preferred by enterprises for code security..
Key competitors include Sourcegraph (Cody), GitHub Copilot / Copilot for Business, Custom embeddings + vector DB stacks (Pinecone, Weaviate, Elastic + LangChain), ripgrep + LSP local workflows.