Knowledge Base Bootstrap System

People building LLM projects accumulate scattered chat histories and markdown notes that become hard to search and maintain. A system that converts markdown folders into a browsable, queryable knowledge base with AI assistance helps keep project context organized. Target users are AI developers and builders using LLM-assisted coding.

The explosion of LLM-assisted development has created a real secondary problem: developers end up with sprawling folders of AI chat exports, prompt logs, and markdown notes that no existing tool handles well. Obsidian is the closest substitute and already has a loyal developer following, which means competing on "browsability" alone is a weak wedge — the differentiation has to live in the AI-query layer and the LLM-project-specific context model. At $500–2k MRR the math requires somewhere between 10 and 40 paying users at reasonable indie pricing, which is achievable but leaves almost no room for paid acquisition, so this lives or dies on organic developer community traction. The biggest risk is that the target users are themselves capable of building this in an afternoon with a vector DB and a markdown parser, making willingness-to-pay structurally low in exactly the audience you're selling to.