[{"data":1,"prerenderedAt":142},["ShallowReactive",2],{"project-41203559":3},{"id":4,"name":5,"line":6,"line_source":7,"title":8,"url":9,"domain":10,"maker":11,"posted_at":12,"year":13,"points":14,"comments":15,"rank_in_year":16,"shown_in_year":17,"top":18,"tier":19,"category":20,"subcategory":21,"format":22,"keywords":23,"reception":29,"sentiment":30,"stance_mix":31,"scored_comments":34,"aspects":35,"strip":37,"post_text":40,"what":41,"said":64,"maker_in_thread":89,"shape":94,"grid":96,"attempts":103,"same_week":104,"maker_shows":38,"maker_hidden":135,"reader_version":136,"card":137},"41203559","Anyquery","A SQL query engine for anything (CSV, GitHub, Airtable,etc.)","title","Show HN: Anyquery – A SQL query engine for anything (CSV, GitHub, Airtable,etc.)","https:\u002F\u002Fanyquery.dev","anyquery.dev","julien040",1723222792,2024,12,6,2388,3515,68,"shown","dev_tools","query engine","cli",[24,25,26,27,28],"sql query engine","sqlite virtual tables","query csv github","mysql server","airtable sql","quiet",null,{"positive":32,"neutral":32,"mixed":33,"critical":33},1,0,2,{"idea":36},{"positive":32,"critical":33},[38,33,39],3,5,"Hey HN, I’m Julien, and after finishing my CS sophomore year, I wanted a project to keep me busy during the summer. So I built anyquery for fun, a SQL query engine for pretty much anything.\n\nSQL is the industry standard query language for databases. But what if it could query other services? That’s what I wanted to explore. Kinda like Yahoo! Query Language, except that I was too young to see it.\n\nAnyquery can run queries on local\u002Fremote files (CSV, JSON, logs with Grok, Parquet, HTML tables, etc.), SaaS (GitHub, Notion, Spotify, etc.) and local apps (Apple Notes, Git, Google Chrome tabs, etc.)",{"problem":42,"audience":30,"pricing":30,"motivation":48,"time_to_build":30,"stack":52,"openness":61,"stage":62,"team_size":63},{"value":43,"source":44,"evidence":45},"Lets you query files, SaaS services and local apps with SQL","maker",[46],{"id":47},"post",{"value":49,"source":44,"evidence":50},"Built for fun over summer after sophomore year; useful for data migration and visualization",[51],{"id":47},[53,57],{"value":54,"source":44,"evidence":55},"Go",[56],{"id":47},{"value":58,"source":44,"evidence":59},"SQLite virtual tables",[60],{"id":47},"open_source","unknown","solo",{"praise":65,"objections":74,"requests":75,"questions":76,"alternatives":84},[66],{"value":67,"source":68,"evidence":69},"Idea is amazing","commenter",[70],{"id":71,"by":72,"text":73},"41203845","st0le","This is an amazing idea! Love it.",[],[],[77],{"value":78,"source":68,"evidence":79},"How does it differ from DuckDB for querying CSV",[80],{"id":81,"by":82,"text":83},"41204163","nbbaier","Really cool! For querying something like CSV, what's the difference between this and say, DuckDB?",[85],{"value":86,"source":68,"evidence":87},"DuckDB",[88],{"id":81,"by":82,"text":83},{"comments":32,"answered":32,"key":90},[91],{"id":92,"text":93},"41204235","Thanks! For querying CSV, it's quite similar to DuckDB (just a little bit slower). It's almost the same syntax (read_csv table, same parameter name, etc.) I think anyquery…",{"commenters":38,"max_depth":34,"maker_replies":32,"first_comment_mins":95,"lifespan_hours":34},38,[97,99,101],[81,33,38,98,82,33],"project\u002Fneutral\u002Fidea",[92,33,33,100,11,32],"project\u002Fneutral\u002Fperformance",[71,32,39,102,72,33],"project\u002Fpositive\u002Fidea",[],[105,110,115,120,125,130],{"id":106,"name":107,"points":108,"category":109},"41247023","ytch",2741,"consumer_social",{"id":111,"name":112,"points":113,"category":114},"41224689","PGlite",509,"data",{"id":116,"name":117,"points":118,"category":119},"41203306","LLM-aided OCR",479,"productivity",{"id":121,"name":122,"points":123,"category":124},"41217109","Grandma's Word",454,"games",{"id":126,"name":127,"points":128,"category":129},"41203475","Thunder Compute",344,"infrastructure",{"id":131,"name":132,"points":133,"category":134},"41213711","flutter_rust_bridge",301,"languages",false,"v2",{"id":138,"name":5,"line":6,"ai":135,"cat":20,"year":13,"points":14,"comments":15,"rec":29,"s":30,"top":18,"kw":139,"maker":11,"domain":10,"tier":19,"attempts":33,"strip":140,"url":9,"mix":141,"praise":67,"objection":-1,"sub":21},41203559,[24,25,26,27,28],"305",[32,32,33,33],1794036659103]