QMD Searchv1.0.0

Researchers use QMD Search to quickly find relevant papers and notes across their Obsidian vault, leveraging semantic search to locate concepts even when terminology varies. This reduces time spent manually scanning documents, enabling faster literature synthesis and hypothesis generation.

Developers employ QMD Search to query internal markdown documentation for specific APIs, error handling patterns, or code snippets. The hybrid search ensures both keyword matches and conceptual relevance, speeding up debugging and onboarding processes.

Law firms utilize QMD Search to index case notes and legal precedents in markdown format, allowing quick retrieval of relevant snippets for case preparation. Semantic search helps find related legal concepts across different cases without exact keyword matches.

Content creators use QMD Search to organize and search through markdown drafts, research notes, and idea banks. The token-efficient snippet retrieval aids in repurposing content and maintaining consistency across articles.

Medical professionals index patient notes and treatment protocols in markdown, using QMD Search to find relevant information during consultations. The local, private nature ensures compliance with data privacy regulations while improving access to critical details.

Offer a free tier for individual users with basic search features, and charge teams for advanced analytics, collaboration tools, and priority support. Revenue comes from monthly subscriptions based on the number of users and collections.

Sell customized licenses to large organizations requiring integration with existing knowledge management systems, enhanced security features, and dedicated training. Revenue is generated through annual contracts and implementation fees.

Provide consulting services to help clients set up and optimize QMD Search for specific use cases, along with custom plugin development for niche industries. Revenue streams include hourly rates and project-based fees.