[{"data":1,"prerenderedAt":706},["ShallowReactive",2],{"project-48673671":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":35,"aspects":36,"strip":48,"post_text":51,"what":52,"said":70,"maker_in_thread":194,"shape":206,"grid":211,"attempts":666,"same_week":667,"maker_shows":18,"maker_hidden":698,"reader_version":699,"card":700},"48673671","Hacker News Trends","Google Trends for Hacker News by indexing 18 years of comments","title","Show HN: I made Google Trends for Hacker News by indexing 18 years of comments","https:\u002F\u002Fhackernewstrends.com","hackernewstrends.com","ytkimirti",1782396535,2026,822,156,16,4366,1,"legend","data","search trends analytics","web_app",[24,25,26,27],"hacker news","search trends","term frequency","comment analytics","debated",0.063,{"positive":31,"neutral":32,"mixed":33,"critical":34},28,32,2,25,87,{"privacy":37,"docs":39,"idea":40,"performance":42,"execution":44,"design":46},{"positive":38,"critical":33},0,{"positive":18,"critical":38},{"positive":41,"critical":33},11,{"positive":38,"critical":43},7,{"positive":38,"critical":45},12,{"positive":47,"critical":33},3,[38,18,38,38,38,18,47,18,47,47,47,18,18,47,38,49,47,50,50,49,18,18,18,47,49,18,50,47,33,18,33,50,49,47,47,50,50,49,49,38],5,4,null,{"problem":53,"audience":51,"pricing":51,"motivation":51,"time_to_build":51,"stack":59,"openness":68,"stage":69,"team_size":68},{"value":54,"source":55,"evidence":56},"Shows how often terms appear in Hacker News comments over time","maker",[57],{"id":58},"post",[60],{"value":61,"source":62,"evidence":63},"Upstash Redis Search","commenter",[64],{"id":65,"by":66,"text":67},"48675984","stopachka","Nice! Would love a brief explanation of the infrastructure. I see the Powered by \"Upstash Redish Search\", but why choose Upstash Redis Search vs something else?","unknown","launched",{"praise":71,"objections":98,"requests":139,"questions":167,"alternatives":175},[72,91],{"value":73,"source":62,"evidence":74},"Fun, well-designed and useful for exploring trends",[75,79,83,87],{"id":76,"by":77,"text":78},"48674699","flakiness","The example comparisons made me smile. Well done!",{"id":80,"by":81,"text":82},"48674869","joelres","Really beautiful, informative, and functional layout. Great work!",{"id":84,"by":85,"text":86},"48675805","k33n","This is quite useful at-a-glance",{"id":88,"by":89,"text":90},"48674499","clacker-o-matic","ooh this is sick! really nice ui too!",{"value":92,"source":62,"evidence":93},"Good for finding buried interesting articles",[94],{"id":95,"by":96,"text":97},"48677506","arikrahman","Despite being for trends this is actually a good tool to find articles that are interesting but sometimes buried.",[99,114,129],{"value":100,"source":62,"evidence":101},"Counts are absolute, not normalized by total HN activity",[102,106,110],{"id":103,"by":104,"text":105},"48674995","arjie","One useful feature would be to normalize by total so that I can see changes in something as opposed to just total site growth. Right now I have to chart a single generic…",{"id":107,"by":108,"text":109},"48676332","aberrahmane_b","Great project.The popular comparisons are probably the most useful part because they show the relay race between tools pretty clearly. One thing I’d like to see is normalization…",{"id":111,"by":112,"text":113},"48679946","joshmaker","Fun project and well executed. It would be cool if it had the option to adjust for relative volume. For example, a search for “iPhone” dips around 2025, but did interest in it…",{"value":115,"source":62,"evidence":116},"Frequent rate limiting and timeouts under load",[117,121,125],{"id":118,"by":119,"text":120},"48674588","simonpure","Hug of death ` \u002Fapi\u002Fhn -> 504 An error occurred with your deployment FUNCTION_INVOCATION_TIMEOUT cle1::c8vgv-1782399959042-aeba3cae05ff `",{"id":122,"by":123,"text":124},"48674996","superxpro12","\u002Fapi\u002Fhn -> 502 {\"error\":\"Your database has been temporarily rate-limited, please contact support@upstash.com for further details.\"}",{"id":126,"by":127,"text":128},"48675169","kaelyx","Hello, \u002Fapi\u002Fhn -> 502 {\"error\":\"Your database has been temporarily rate-limited, please contact support@upstash.com for further details.\"}",{"value":130,"source":62,"evidence":131},"Title suggests search trends but data is published text",[132,136],{"id":133,"by":134,"text":135},"48675818","Aachen","Google Trends is about searches This is about published text. More like if Google Trends counted word occurrences on webpages. Or if Google Ngrams counted webpages instead of…",{"id":137,"by":134,"text":138},"48676119","Someone asked an imo good question (that I was going to vouch for, idk why it was dead), but deleted it. Not sure why, but so I'll not credit the username in case they don't want…",[140,149,156],{"value":141,"source":62,"evidence":142},"Normalize results by total comment volume",[143,144,148],{"id":103,"by":104,"text":105},{"id":145,"by":146,"text":147},"48674613","scarecrw","Very cool! I'd love to have some sort of normalization option to separate more subtle positive trends from the general increase in number of posts.",{"id":107,"by":108,"text":109},{"value":150,"source":62,"evidence":151},"Add Show HN scoped search",[152],{"id":153,"by":154,"text":155},"48674738","cloudkj","This is great, I was just hoping to find a tool like this and specifically scoped to \"Show HN\" posts? Is there a way to do that?",{"value":157,"source":62,"evidence":158},"Better handling of synonyms and term disambiguation",[159,163],{"id":160,"by":161,"text":162},"48674730","sinuhe69","IMO, using AI to assign keywords to a broader group of strict synonymous keywords would make the comparison much more helpful. Because in general we want to know the trend of…",{"id":164,"by":165,"text":166},"48676066","chfritz","great idea! Now, you are running into the same issue Google Trends had to solve: term disambiguation. For instance, \"atom\" is ambiguous in a comparison of editors like this:…",[168],{"value":169,"source":62,"evidence":170},"Where does the data come from and is it scraped or open",[171],{"id":172,"by":173,"text":174},"48675129","jahala","Really cool! Where would you get the data for something like this? Is it open, or its scraped?",[176,187],{"value":177,"source":62,"evidence":178},"Google Ngram Viewer",[179,183],{"id":180,"by":181,"text":182},"48675243","NooneAtAll3","I'd be interested in \"google ngram for hacker news\" instead",{"id":184,"by":185,"text":186},"48677579","swasheck","maybe more like google ngram viewer? https:\u002F\u002Fbooks.google.com\u002Fngrams\u002Fabout",{"value":188,"source":62,"evidence":189},"Algolia HN search",[190],{"id":191,"by":192,"text":193},"48675982","morkalork","Now if Algolia had a dataset of what people are searching for on HN that'd be it",{"comments":195,"answered":50,"key":196},10,[197,200,203],{"id":198,"text":199},"48677561","Yeah I feel like hackernews trends is alright but the post title is a bit misleading, noted",{"id":201,"text":202},"48674796","We will be with you shortly 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