Semantic File Search Tool

A file search utility that finds files by meaning rather than exact filenames. Users describe what they're looking for in natural language and the tool uses embeddings to surface relevant files. Perfect for developers and knowledge workers drowning in poorly named files.

Local-first AI tooling is having a real moment right now, and the explosion of LLM-adjacent dev tools has normalized embedding-based search as a concept that buyers actually understand. macOS Spotlight and Windows Search are the obvious substitutes, but both are keyword-only and neither indexes semantic meaning, leaving a real gap for anyone managing large, chaotic file systems. The $500–3k/mo revenue band is plausible for a prosumer utility sold as a one-time purchase or low-price subscription, though the ceiling is genuinely low — this is a productivity tool, not infrastructure, and pricing power is weak. The biggest risk is that Apple, Notion, or a cloud storage player like Dropbox ships this natively within 12 months, making a standalone tool instantly redundant.