Bundle repositories into a single AI-friendly file for LLM ingestion

Bundle repositories into a single AI-friendly file for LLM ingestion targets a $4.5B = 1.5M developer teams × $3K ACV total addressable market with medium saturation and a year-over-year growth rate of 15-20% YoY growth in developer tooling and AI-assisted developer productivity (source: GitHub Octoverse, Stack Overflow trends).

Key trends driving demand: LLM adoption in engineering teams is accelerating — this creates demand for tools that reliably feed code context into models.; Embeddings and vector search are becoming standard infrastructure for code intelligence — standardized repo packing can be consumed by many tools.; Developer-first integrations (CLI, GitHub Actions, VS Code) drive adoption because engineers prefer tools that fit existing workflows.; Cost sensitivity around token usage is making token-efficient data representations a direct economic benefit for teams using hosted LLM APIs..