Personal Knowledge Base System (Markdown-to-Queryable)

Users accumulating scattered markdown notes and LLM chat logs can't efficiently search or build on their knowledge. A system auto-converts markdown directories into a queryable, browsable knowledge base that integrates with LLMs for semantic search. Target users are researchers, developers, and knowledge workers.

The explosion of LLM usage has created a genuine new artifact — the chat log dump — that sits alongside existing markdown note-hoarding, and most people have no system for either. Obsidian is the closest incumbent and already has a large, loyal user base with a plugin ecosystem that partially covers semantic search, which is a real distribution headwind. The $500–2k/mo revenue band is realistic for a narrow indie product but requires low churn from a user segment (developers, researchers) that is notoriously willing to self-host free alternatives like Obsidian plus a local vector DB. The most likely failure mode is that the target users are precisely the people capable of stitching together their own solution in a weekend, making willingness-to-pay thin unless the polish and time savings are dramatically obvious.