[{"data":1,"prerenderedAt":179},["ShallowReactive",2],{"project-24921127":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":33,"aspects":34,"strip":37,"post_text":29,"what":39,"said":73,"maker_in_thread":118,"shape":127,"grid":129,"attempts":144,"same_week":145,"maker_shows":15,"maker_hidden":172,"reader_version":173,"card":174},"24921127","Findka Essays","Essays curated for you with machine learning","title","Show HN: Essays curated for you with machine learning","https:\u002F\u002Fessays.findka.com\u002F","essays.findka.com","jacobobryant",1603904198,2020,53,7,1033,3028,35,"notable","productivity","essay recommendations","web_app",[21,24,25,26,27],"curated essays","email recommendations","k-nn","clojure","quiet",null,{"positive":31,"neutral":31,"mixed":31,"critical":32},1,0,3,{"idea":35,"execution":36},{"positive":32,"critical":32},{"positive":32,"critical":32},[32,33,32,38,32,33,32],5,{"problem":40,"audience":47,"pricing":29,"motivation":53,"time_to_build":29,"stack":58,"openness":71,"stage":72,"team_size":71},{"value":41,"source":42,"evidence":43},"Finding high quality essays worth reading","inferred",[44],{"id":45,"by":11,"text":46},"24921167","Hi. I pivoted to this recently from a cross-domain recommender system (see previous Show HN[1]--it could, for example, recommend movies based on which books you like). Long story…",{"value":48,"source":42,"evidence":49},"Essay readers, mainly programmers from the HN user base",[50],{"id":51,"by":11,"text":52},"24926386","Most of the essays currently are indeed blog posts from the last few years. For now I'm planning to rely on user submissions for the catalog--if you have some favorite…",{"value":54,"source":55,"evidence":56},"Maker loves essays and wants good essays to spread further; pivoted from a cross-domain recommender whose retention was poor","maker",[57],{"id":45,"by":11,"text":46},[59,63,67],{"value":60,"source":55,"evidence":61},"Clojure",[62],{"id":45,"by":11,"text":46},{"value":64,"source":55,"evidence":65},"Biff web framework",[66],{"id":45,"by":11,"text":46},{"value":68,"source":55,"evidence":69},"Python k-NN recommender",[70],{"id":45,"by":11,"text":46},"unknown","launched",{"praise":74,"objections":87,"requests":99,"questions":112,"alternatives":117},[75],{"value":76,"source":77,"evidence":78},"Interest in trying it out and essay enthusiasm","commenter",[79,83],{"id":80,"by":81,"text":82},"24921197","redwoolf","I'm excited to try this out. I'm a fan of essays as well and always looking for high quality content.",{"id":84,"by":85,"text":86},"24925461","JacobiX","Love the idea. I think that a pure collaborative filtering algorithm has some limitations (cold start, etc). Maybe a hybrid CF + content-based approach will be more adapted for…",[88,95],{"value":89,"source":77,"evidence":90},"Catalog is mostly recent tech blog posts rather than classics",[91],{"id":92,"by":93,"text":94},"24926185","richardbatty","I really like the idea but one thing that puts me off is if most of the essays end up being blog posts from the last few years. I'd be more interested in being sent a selection…",{"value":96,"source":77,"evidence":97},"Pure collaborative filtering has cold start limits",[98],{"id":84,"by":85,"text":86},[100,104,108],{"value":101,"source":77,"evidence":102},"Add classic essays from Orwell, Montaigne, Gutenberg or LRB",[103],{"id":92,"by":93,"text":94},{"value":105,"source":77,"evidence":106},"Add a hybrid content-based filtering approach",[107],{"id":84,"by":85,"text":86},{"value":109,"source":77,"evidence":110},"Cover non-tech topics",[111],{"id":92,"by":93,"text":94},[113],{"value":114,"source":77,"evidence":115},"Will the catalog include non-tech areas?",[116],{"id":92,"by":93,"text":94},[],{"comments":119,"answered":120,"key":121},4,2,[122,123,124],{"id":45,"text":46},{"id":51,"text":52},{"id":125,"text":126},"24921304","Awesome, let me know how it goes.",{"commenters":119,"max_depth":120,"maker_replies":119,"first_comment_mins":33,"lifespan_hours":128},9,[130,132,134,135,137,139,141],[45,32,32,131,11,31],"maker\u002Fneutral\u002Fidea",[92,31,33,133,93,32],"project\u002Fmixed\u002Fidea",[51,31,32,131,11,31],[80,120,38,136,81,32],"project\u002Fpositive\u002Fnone",[125,120,32,138,11,31],"maker\u002Fpositive\u002Fnone",[84,33,33,140,85,32],"project\u002Fneutral\u002Fexecution",[142,33,32,143,11,31],"24925521","maker\u002Fneutral\u002Fexecution",[],[146,150,155,159,163,167],{"id":147,"name":148,"points":149,"category":20},"24898373","Dendron",313,{"id":151,"name":152,"points":153,"category":154},"24886120","which-dns",283,"dev_tools",{"id":156,"name":157,"points":158,"category":154},"24869897","react-chrono",269,{"id":160,"name":161,"points":162,"category":154},"24906237","Austin-Tui",256,{"id":164,"name":165,"points":166,"category":20},"24897812","Personal CRM",175,{"id":168,"name":169,"points":170,"category":171},"24872754","Perfect Pitch Ear Training",172,"learning_science",false,"v2",{"id":175,"name":5,"line":6,"ai":172,"cat":20,"year":13,"points":14,"comments":15,"rec":28,"s":29,"top":18,"kw":176,"maker":11,"domain":10,"tier":19,"attempts":32,"strip":177,"url":9,"mix":178,"praise":76,"objection":89,"sub":21},24921127,[21,24,25,26,27],"0305030",[31,31,31,32],1794036597818]