{"slug": "qmd", "name": "qmd", "category": "search", "category_name": "Search", "description": "", "recommenders": 3, "commenters": 3, "warners": 0, "score": 2.701, "rising": 0.35, "first": "2026-01-26", "latest": "2026-08-09", "why": "I use qmd for that on over 20 years of journaling and saved quotes, works great", "why_is_quote": true, "has_verdict": false, "sentiment": {"recommend": 3, "neutral": 0, "compare": 0, "warn": 0}, "spark": [0, 0, 1, 0, 0, 0, 0, 1, 0, 1, 0, 0], "listed": true, "loved": [], "caveat": "", "short_quote": "I use qmd for that on over 20 years of journaling and saved quotes, works great", "icon": true, "domain": null, "github_repo": "github.com/tobi/qmd", "official_url": "https://github.com/tobi/qmd", "pricing": "", "aliases": ["qmd", "QMD"], "verdict": null, "praise": [{"label": "", "summary": "", "quotes": [{"id": 787698944, "item_id": 49231184, "url": "https://news.ycombinator.com/item?id=49231184", "by": "kandros", "date": "2026-08-09", "stance": "recommend", "quote": "I use qmd for that on over 20 years of journaling and saved quotes, works great", "excerpt": "I use qmd for that on over 20 years of journaling and saved quotes, works great https://github.com/tobi/qmd", "context": "", "use_case": "searching journal notes", "switched_from": "", "story": "Ask HN: What you using local models for?"}, {"id": 775414320, "item_id": 48463395, "url": "https://news.ycombinator.com/item?id=48463395", "by": "bachittle", "date": "2026-06-09", "stance": "recommend", "quote": "this tool called qmd is what I use for the hybrid search portion", "excerpt": "Exactly this, and this tool called qmd is what I use for the hybrid search portion. It also uses local LLMs to provide summaries on your own markdown data too. My agents use both depending on what type of search they are doing, and both provide good results. https://github.com/tobi/qmd", "context": "", "use_case": "hybrid search over markdown", "switched_from": "", "story": "Is Grep All You Need? How Agent Harnesses Reshape Agentic Search"}, {"id": 748311440, "item_id": 46769465, "url": "https://news.ycombinator.com/item?id=46769465", "by": "augusteo", "date": "2026-01-26", "stance": "recommend", "quote": "The hybrid BM25 + vector + LLM reranking approach is exactly what I've been wanting for my notes.", "excerpt": "Nice work. The hybrid BM25 + vector + LLM reranking approach is exactly what I've been wanting for my notes. I use Obsidian with hundreds of markdown files. The built-in search is fine for exact matches but misses conceptual connections. Does this handle large vaults well? I'd love to point it at my notes plus meeting transcripts.", "context": "has hundreds of markdown files in Obsidian", "use_case": "searching markdown notes", "switched_from": "", "story": "QMD - Quick Markdown Search"}]}], "caveats": [], "who": [{"by": "augusteo", "context": "has hundreds of markdown files in Obsidian", "url": "https://news.ycombinator.com/item?id=46769465", "date": "2026-01-26"}], "tags": [], "use_cases": ["searching journal notes", "hybrid search over markdown", "searching markdown notes"], "compared": [], "makers": [], "threads": [{"url": "https://news.ycombinator.com/item?id=49230235", "title": "Ask HN: What you using local models for?", "mentions": 1}, {"url": "https://news.ycombinator.com/item?id=48460863", "title": "Is Grep All You Need? 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It also uses local LLMs to provide summaries on your own markdown data too. My agents use both depending on what type of search they are doing, and both provide good results. https://github.com/tobi/qmd", "context": "", "use_case": "hybrid search over markdown", "switched_from": "", "story": "Is Grep All You Need? How Agent Harnesses Reshape Agentic Search"}, {"id": 748311440, "item_id": 46769465, "url": "https://news.ycombinator.com/item?id=46769465", "by": "augusteo", "date": "2026-01-26", "stance": "recommend", "quote": "The hybrid BM25 + vector + LLM reranking approach is exactly what I've been wanting for my notes.", "excerpt": "Nice work. The hybrid BM25 + vector + LLM reranking approach is exactly what I've been wanting for my notes. I use Obsidian with hundreds of markdown files. The built-in search is fine for exact matches but misses conceptual connections. Does this handle large vaults well? I'd love to point it at my notes plus meeting transcripts.", "context": "has hundreds of markdown files in Obsidian", "use_case": "searching markdown notes", "switched_from": "", "story": "QMD - Quick Markdown Search"}]}