[{"data":1,"prerenderedAt":351},["ShallowReactive",2],{"project-40084193":3},{"id":4,"name":5,"line":6,"line_source":7,"title":8,"url":9,"domain":9,"maker":10,"posted_at":11,"year":12,"points":13,"comments":14,"rank_in_year":15,"shown_in_year":16,"top":17,"tier":18,"category":19,"subcategory":20,"format":21,"keywords":22,"reception":26,"sentiment":27,"stance_mix":28,"scored_comments":33,"aspects":34,"strip":42,"post_text":43,"what":44,"said":113,"maker_in_thread":201,"shape":207,"grid":211,"attempts":312,"same_week":313,"maker_shows":32,"maker_hidden":342,"reader_version":343,"card":344},"40084193","Shepherd 3.0","Like wandering the aisles of your favorite bookstore","title","Show HN: Shepherd 3.0 – Like wandering the aisles of your favorite bookstore",null,"bwb",1713511126,2024,102,40,820,3515,24,"notable","consumer_social","book discovery","web_app",[23,20,24,25],"book recommendations","reading lists","book search","debated",0.186,{"positive":29,"neutral":30,"mixed":31,"critical":32},7,1,4,5,17,{"idea":35,"design":38,"docs":39,"execution":41},{"positive":36,"critical":37},2,3,{"positive":36,"critical":30},{"positive":40,"critical":40},0,{"positive":40,"critical":30},[37,40,40,32,40,37,40,32,40,40,37,40,32,40,40,37,32,40,30,40,32,40,32,40,32,40,30,30,30,40,40,40,40,40,30,40,37,40,40,40],"Hi all, creator here :) - I launched Shepherd.com (https:\u002F\u002Fshepherd.com\u002F) 3 years ago on Hacker News and have added a ton since then! Here is the original Show HN (https:\u002F\u002Fnews.ycombinator.com\u002Fitem?id=26871660).\n\nI’ve interviewed 10,000+ authors & experts to get their 5 favorite reads around different topics, themes, and moods. And I’ve connected those so that you follow your curiosity around topics, authors, books, and more.\n\nTry Art Kleiner’s favorite reads on understanding AI and its effect on people:  https:\u002F\u002Fshepherd.com\u002Fbest-books\u002Funderstanding-ai-and-its-effect-on-people\n\nUnder each boo",{"problem":45,"audience":51,"pricing":9,"motivation":63,"time_to_build":9,"stack":72,"openness":110,"stage":111,"team_size":112},{"value":46,"source":47,"evidence":48},"Helps readers find books by following curiosity across topics, authors and books","maker",[49],{"id":50},"post",{"value":52,"source":53,"evidence":54},"Readers looking for book recommendations","inferred",[55,59],{"id":56,"by":57,"text":58},"40089817","magnio","I remember your first Show HN post. I was immediately hooked with what seems like a very diverse fivebooks alternative. Back then I thought it was like your hobby project and…",{"id":60,"by":61,"text":62},"40089704","joeconway","I immediately found two books I'd not come across before, that I am going to start today. This is a great site, thank you",{"value":64,"source":47,"evidence":65},"Help authors meet readers the way indie bookstore staff picks do",[66,69],{"id":67,"by":10,"text":68},"40090481","I love indie bookstores :). I \"stole\" the original idea from a fantastic indie bookstore that I stumbled into. I walked into the bookstore, and they had little index cards to…",{"id":70,"by":10,"text":71},"40090429","With books, I really don't view anyone as a competitor; the goal should be to help readers find books, as they are the closest thing we have to magic. Five Books is doing great…",[73,77,81,85,89,93,100,104],{"value":74,"source":47,"evidence":75},"Python",[76],{"id":50},{"value":78,"source":47,"evidence":79},"Django",[80],{"id":50},{"value":82,"source":47,"evidence":83},"Heroku",[84],{"id":50},{"value":86,"source":47,"evidence":87},"PostgreSQL",[88],{"id":50},{"value":90,"source":47,"evidence":91},"Cloudflare",[92],{"id":50},{"value":94,"source":47,"evidence":95},"Wikifier NLP\u002FML topic IDs",[96,97],{"id":50},{"id":98,"by":10,"text":99},"40095779","Yep, I am working on this, and it is a lot of how our system works under the surface. It just isn't accurate enough yet. I do use the LOC data, but only a very small % of books…",{"value":101,"source":47,"evidence":102},"Cloudinary",[103],{"id":50},{"value":105,"source":47,"evidence":106},"Algolia search",[107],{"id":108,"by":10,"text":109},"40091458","Ya, sorry, I have some issues with Algolia weighting; I am working on getting topics\u002Fgenres to outrank author names as \"math\" is causing some problems there. Here is what should…","unknown","launched","team",{"praise":114,"objections":132,"requests":161,"questions":175,"alternatives":187},[115,125],{"value":116,"source":117,"evidence":118},"Serendipitous browsing and discovery of new books","commenter",[119,123,124],{"id":120,"by":121,"text":122},"40090044","1123581321","I love browsing Shepherd. The more specific lists crack me up but give me so many ideas. I also like that you can browse serendipitously tags related to just about any topic you…",{"id":56,"by":57,"text":58},{"id":60,"by":61,"text":62},{"value":126,"source":117,"evidence":127},"Useful for finding comps and recommendations",[128],{"id":129,"by":130,"text":131},"40089549","geoffreypoirier","Hi Ben. Great project. I'm playing with it right now in looking for \"comps\". Will ping with feedback.",[133,143,154],{"value":134,"source":117,"evidence":135},"Recommendations feel algorithmic rather than human curated",[136,140],{"id":137,"by":138,"text":139},"40091872","racional","Except the selections of what you get to look at are made by an algorithm, not people. Yes, an algorithm that mixes and matches ratings made by (a particular category of) people.…",{"id":141,"by":138,"text":142},"40106643","I was referring to the \"Best Books of 2023\" section, which (for every sublink) produces the behavior I'm describing. So okay, fine - only part of the site is based on straight-up…",{"value":144,"source":117,"evidence":145},"Topic and genre search results are inaccurate",[146,150,153],{"id":147,"by":148,"text":149},"40091217","WillAdams","Why does searching for \"mathematics\" only provide specific texts? No general category\u002Flisting?",{"id":151,"by":138,"text":152},"40106969","Just try search for any book, author, topic, or genre you are interested in In my post above: \"Then I did some topical searches ...\" For large \u002F concrete topics, the result sets…",{"id":98,"by":10,"text":99},{"value":155,"source":117,"evidence":156},"Book descriptions can be out of date",[157],{"id":158,"by":159,"text":160},"40101375","hasbot","What is the source for a book description? I ask because I just started listening to \"Straight Man\" by Richard Russo and looked it up on Shepherd. Shepherd mentions that…",[162,171],{"value":163,"source":47,"evidence":164},"Better topic and genre accuracy, which the maker is working on",[165,168],{"id":166,"by":10,"text":167},"40090376","Thanks! :) I am working to really improve the accuracy of genres & topics, and adding themes. I am hoping I can tackle that in 3 months or so...",{"id":169,"by":10,"text":170},"40089147","btw, here are some other fun explore points :) Sci-Fi -> https:\u002F\u002Fshepherd.com\u002Fsearch\u002Fshelf\u002F9008 History -> https:\u002F\u002Fshepherd.com\u002Fsearch\u002Fshelf\u002F12669 Fantasy ->…",{"value":172,"source":117,"evidence":173},"Combine multiple ideas in serendipitous searches",[174],{"id":120,"by":121,"text":122},[176,183],{"value":177,"source":117,"evidence":178},"How can 10,000+ interviews be done by one person",[179],{"id":180,"by":181,"text":182},"40089923","karaterobot","This is cool—I mean it—but what do you mean you interviewed 10,000+ people in three years? How is that possible, given the number of hours in a day? Is it instead that you…",{"value":184,"source":117,"evidence":185},"What is the source for book descriptions",[186],{"id":158,"by":159,"text":160},[188,193,197],{"value":189,"source":117,"evidence":190},"Five Books",[191,192],{"id":180,"by":181,"text":182},{"id":70,"by":10,"text":71},{"value":194,"source":47,"evidence":195},"Hardcover",[196],{"id":70,"by":10,"text":71},{"value":198,"source":47,"evidence":199},"StoryGraph",[200],{"id":70,"by":10,"text":71},{"comments":202,"answered":37,"key":203},18,[204,205,206],{"id":70,"text":71},{"id":166,"text":167},{"id":98,"text":99},{"commenters":33,"max_depth":208,"maker_replies":202,"first_comment_mins":209,"lifespan_hours":210},12,576,193,[212,214,216,219,221,222,225,226,228,231,233,237,239,242,244,248,251,253,255,258,259,263,266,268,270,274,277,281,286,288,290,293,295,298,300,302,305,306,308,310],[180,40,37,213,181,40],"project\u002Fmixed\u002Fidea",[70,40,40,215,10,30],"maker\u002Fneutral\u002Fexecution",[217,40,40,218,181,40],"40091363","commenter\u002Fneutral\u002Fnone",[120,30,32,220,121,40],"project\u002Fpositive\u002Fdesign",[166,30,40,215,10,30],[223,36,37,213,224,40],"40092162","PaulDavisThe1st",[98,36,40,215,10,30],[56,37,32,227,57,40],"project\u002Fpositive\u002Fidea",[229,37,40,230,10,30],"40090455","maker\u002Fpositive\u002Fnone",[169,31,40,232,10,30],"project\u002Fneutral\u002Fnone",[234,31,37,235,236,40],"40104540","project\u002Fneutral\u002Fdesign","smcleod",[238,31,40,235,10,30],"40105964",[240,32,32,227,241,40],"40090066","cluo21",[67,32,40,243,10,30],"maker\u002Fneutral\u002Fidea",[245,32,40,246,247,40],"40102796","other\u002Fneutral\u002Fidea","datascienced",[158,249,37,250,159,40],6,"project\u002Fmixed\u002Fdocs",[60,29,32,252,61,40],"project\u002Fpositive\u002Fnone",[254,29,40,235,10,30],"40090559",[147,256,30,257,148,40],8,"project\u002Fcritical\u002Fexecution",[108,256,40,215,10,30],[260,261,32,252,262,40],"40090643",9,"lawrencegripper",[264,261,40,265,10,30],"40090662","maker\u002Fneutral\u002Fnone",[129,267,32,252,130,40],10,[269,267,40,235,10,30],"40090517",[271,272,32,220,273,40],"40089750",11,"slucaskim",[275,272,40,276,10,30],"40090529","maker\u002Fpositive\u002Fidea",[278,208,30,279,280,40],"40091556","project\u002Fcritical\u002Fidea","bangoodirro",[282,283,30,284,285,40],"40178156",13,"project\u002Fcritical\u002Fdesign","luv2code",[137,287,30,279,138,40],14,[289,287,40,243,10,30],"40092150",[291,287,40,292,138,40],"40092241","commenter\u002Fcritical\u002Fidea",[294,287,40,218,10,30],"40095785",[296,287,40,297,138,40],"40101378","commenter\u002Fcritical\u002Fnone",[299,287,40,243,10,30],"40102020",[301,287,30,279,138,40],"40102384",[303,287,40,304,10,30],"40103719","maker\u002Fneutral\u002Fdesign",[141,287,37,213,138,40],[307,287,40,265,10,30],"40106759",[151,287,40,309,138,40],"commenter\u002Fmixed\u002Fexecution",[311,287,40,265,10,30],"40107018",[],[314,319,324,328,333,338],{"id":315,"name":316,"points":317,"category":318},"40130304","Balanc3d",338,"games",{"id":320,"name":321,"points":322,"category":323},"40104641","Stepify",271,"productivity",{"id":325,"name":326,"points":327,"category":323},"40112958","OpenOrb",259,{"id":329,"name":330,"points":331,"category":332},"40132373","Getada",194,"dev_tools",{"id":334,"name":335,"points":336,"category":337},"40141980","Podlite",142,"languages",{"id":339,"name":340,"points":341,"category":19},"40089028","The Official MTA App",141,false,"v2",{"id":345,"name":5,"line":6,"ai":342,"cat":19,"year":12,"points":13,"comments":14,"rec":26,"s":346,"top":17,"kw":347,"maker":10,"domain":348,"tier":18,"attempts":40,"strip":349,"url":-1,"mix":350,"praise":116,"objection":134,"sub":20},40084193,0.19,[23,20,24,25],"","3005030500305003501050505011100000103000",[29,30,31,32],1794036653369]