[{"data":1,"prerenderedAt":216},["ShallowReactive",2],{"project-19084050":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":28,"sentiment":29,"stance_mix":30,"scored_comments":34,"aspects":35,"strip":39,"post_text":42,"what":43,"said":57,"maker_in_thread":107,"shape":117,"grid":122,"attempts":178,"same_week":179,"maker_shows":131,"maker_hidden":209,"reader_version":210,"card":211},"19084050","AskData","API to Translate Natural Language-2-Sql","title","Show HN: AskData – API to Translate Natural Language-2-Sql","https:\u002F\u002Fwww.askdata.com\u002Fproduct","askdata.com","simonedisomma",1549361072,2019,111,22,434,2195,20,"notable","data","natural language to sql","api",[24,25,26,27],"natural language sql","text to sql","data analytics","sql query generator","loved",0.5,{"positive":31,"neutral":32,"mixed":33,"critical":33},8,4,0,12,{"idea":36,"design":37,"performance":38},{"positive":32,"critical":33},{"positive":33,"critical":33},{"positive":33,"critical":33},[33,33,33,40,41,33,41,41,41,33,40,40,33,40,33,41,41,41,33,41,33],3,5,null,{"problem":44,"audience":51,"pricing":42,"motivation":42,"time_to_build":42,"stack":55,"openness":56,"stage":56,"team_size":56},{"value":45,"source":46,"evidence":47},"Lets non-analysts query data by asking questions in natural language","maker",[48],{"id":49,"by":11,"text":50},"19084217","The idea behind Askdata is to support employees who are not data analysts to access data without effort. Ideally, the best way to onboard your colleagues is to register on the…",{"value":52,"source":46,"evidence":53},"Employees who are not data analysts",[54],{"id":49,"by":11,"text":50},[],"unknown",{"praise":58,"objections":71,"requests":76,"questions":91,"alternatives":106},[59],{"value":60,"source":61,"evidence":62},"Looks like a useful vision for non-technical staff","commenter",[63,67],{"id":64,"by":65,"text":66},"19084188","mtaylor67","I like it. And I would like the employees of my sales department to use this new approach. Now I ask you: why I have to adopt this new approach. How do I convince my employees to…",{"id":68,"by":69,"text":70},"19087494","kunalgupta","This is awesome. Can't wait to share the vision you have here with my team. I worry about it's actual capability to perform (it's a hard problem to solve), but I will certainly…",[72],{"value":73,"source":61,"evidence":74},"Doubts the tool can reliably handle this hard problem",[75],{"id":68,"by":69,"text":70},[77,84],{"value":78,"source":61,"evidence":79},"Support for DynamoDB",[80],{"id":81,"by":82,"text":83},"19084350","dragosdinu","It's really easy to link a MySQL dataset and ask questions about your data. Will DynamoDB also be supported?",{"value":85,"source":61,"evidence":86},"Support for more languages beyond English and Italian",[87],{"id":88,"by":89,"text":90},"19084230","cramirez73","Very charming. Do you plan to extend the platform to other languages?",[92,99],{"value":93,"source":61,"evidence":94},"How does the agent work as the point of contact to data?",[95],{"id":96,"by":97,"text":98},"19103871","sharris1980","An agent is the point-of-contact between the users and the data. Could you explain me better?",{"value":100,"source":61,"evidence":101},"How are large result sets handled?",[102],{"id":103,"by":104,"text":105},"19084127","jreinald","What happens the answer produces a lot of data? For example more than 100 records?",[],{"comments":108,"answered":32,"key":109},7,[110,113,114],{"id":111,"text":112},"19084329","Hi Ramirez, we are rolling out the platform in English and progressively we will extend other languages. The Italian is already up and running and we are working on French and…",{"id":49,"text":50},{"id":115,"text":116},"19084541","Hi Dragos, thanks for your feedback. 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