LLM Knowledge Base Bootstrapper

Developers accumulating LLM chat history and markdown notes struggle to organize and query their growing knowledge base. This tool converts scattered markdown files into a searchable, queryable knowledge base that grows as you add more information. Target users: developers using AI assistance heavily, researchers, and content creators.

The explosion of AI-assisted workflows has left a lot of developers sitting on gigabytes of disorganized chat exports and markdown dumps with no good way to query them — that friction is real and growing. Obsidian with its community plugins (particularly Omnisearch and the various AI plugins) is the closest substitute, and it's free and well-entrenched, which is the central problem here. The $500–2k/mo revenue band is plausible only if you can convert free users fast, since the target audience skews heavily toward self-hosted and DIY solutions — they'll fork a repo before they'll pay $15/month. The most likely failure mode is that a single well-maintained open-source project (or a ChatGPT memory improvement) obsoletes the core value proposition before you reach sustainability.