Markdown Knowledge Base Query Tool

Developers building with LLM assistance accumulate scattered markdown notes and conversation transcripts that become hard to search. A tool that converts markdown folders into a searchable, queryable knowledge base lets users quickly find relevant context for their projects. Target users are AI engineers and technical builders.

The explosion of AI-assisted development workflows has left engineers drowning in `.md` files, Obsidian vaults, and exported ChatGPT threads — a genuine and recent friction point. Obsidian with its community plugins (particularly Smart Connections) is the closest substitute, though it targets knowledge workers broadly and isn't optimized for dev-context retrieval or LLM prompt reuse. The $300–1.5k/mo revenue band is realistic but tight — this is a tool people might pay $9–15/month for, which means you need hundreds of paying users to hit the ceiling, and converting developers who expect free CLI tools is slow. The biggest risk is that this gets commoditized by IDE plugins or native features in tools like Cursor and Continue, which already have indexing and retrieval built into the editor where developers actually work.