[{"data":1,"prerenderedAt":432},["ShallowReactive",2],{"project-40801494":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":45,"post_text":46,"what":47,"said":97,"maker_in_thread":195,"shape":206,"grid":210,"attempts":393,"same_week":394,"maker_shows":327,"maker_hidden":424,"reader_version":425,"card":426},"40801494","Find AI","Perplexity Meets LinkedIn","title","Show HN: Find AI – Perplexity Meets LinkedIn","https:\u002F\u002Fusefind.ai\u002F","usefind.ai","philip1209",1719417777,2024,94,71,878,3515,25,"notable","web_saas","b2b people and company search","web_app",[24,25,26,27],"people search","ai search","linkedin alternative","lead research","curious",-0.077,{"positive":31,"neutral":32,"mixed":33,"critical":34},5,23,1,10,39,{"privacy":37,"performance":40,"pricing":41,"idea":42,"execution":44},{"positive":38,"critical":39},0,2,{"positive":33,"critical":39},{"positive":38,"critical":33},{"positive":43,"critical":39},3,{"positive":33,"critical":43},[43,38,38,43,43,43,43,43,33,33,43,43,43,38,43,43,33,38,43,31,43,43,43,38,31,31,43,33,43,43,33,38,33,43,43,38,33,31,33,43],"As a founder, finding early customers is always a challenge. I'd come up with specific guesses for people to talk to - such \"VCs that used to be startup founders\" or \"Former lawyers who are now CTOs.\" Running those types of searches typically involves opening dozens of LinkedIn profiles in tabs, and looking at them one-by-one. And, it turns out that going through LinkedIn profiles one-by-one is a daily job for many people.\n\nI started building Find AI to make it easier to search for people. I initially started just having GPT review people's LinkedIn profiles and websites, but it cost thousands",{"problem":48,"audience":54,"pricing":62,"motivation":70,"time_to_build":74,"stack":75,"openness":95,"stage":96,"team_size":95},{"value":49,"source":50,"evidence":51},"Finding specific types of people or companies by vague criteria takes hours of manual LinkedIn browsing","maker",[52],{"id":53},"post",{"value":55,"source":56,"evidence":57},"Founders, VCs and sales or recruiting teams looking for prospects or candidates","inferred",[58,59],{"id":53},{"id":60,"by":11,"text":61},"40802401","> What are some of the other verticals you're considering? Thinking of VCs and finance next, because lots of the user so far have been customers. Law is high on the list.…",{"value":63,"source":64,"evidence":65},"Free tier with partial results; paid plan from $39\u002Fmo","commenter",[66],{"id":67,"by":68,"text":69},"40802500","Matticus_Rex","Trying to get a sense of whether the results really are good by testing it on a query I basically know the answers to for my niche, but it looks like to get more than 3 results…",{"value":71,"source":50,"evidence":72},"Founder needed early customers and found manual LinkedIn searching too slow and costly",[73],{"id":53},null,[76,85,89],{"value":77,"source":50,"evidence":78},"OpenAI GPT models",[79,82],{"id":80,"by":11,"text":81},"40802491","Thanks everybody for trying this out. I just looked at our logs and we're doing >2k requests per minute to OpenAI right now. Free users only get partial search results. If there…",{"id":83,"by":11,"text":84},"40802550","We're using PGVector. The way it works is that we use some heuristics to find candidates for your search. That's the 1.4k number you see - and that does take milliseconds. Then,…",{"value":86,"source":50,"evidence":87},"PGVector",[88],{"id":83,"by":11,"text":84},{"value":90,"source":50,"evidence":91},"Helicone and Velvet LLM gateways",[92],{"id":93,"by":11,"text":94},"40809700","That’s a deep question. Under the hood we use some LLM gateways like Helicone and https:\u002F\u002Fusevelvet.com to track cost per request and optimize it.","unknown","launched",{"praise":98,"objections":113,"requests":147,"questions":163,"alternatives":179},[99],{"value":100,"source":64,"evidence":101},"Useful for exploratory searches with natural language queries",[102,105,109],{"id":103,"by":11,"text":104},"40805374","Find AI is good at meandering or exploratory searches. \"Companies that might sell to \u003CX>\", \"People that might become future founders based on \u003CX>\". That's essentially what the AI…",{"id":106,"by":107,"text":108},"40816181","rco8786","This sort of stuff is a great use case match for AI, where even a human would end up with imperfect results.",{"id":110,"by":111,"text":112},"40821942","KostyaNst","ran a couple searches and this looks good! any plans for outbound? i'm using luna ai right now",[114,128,136],{"value":115,"source":64,"evidence":116},"Search results are slow and often return zero matches",[117,121,124],{"id":118,"by":119,"text":120},"40804455","webappguy","Cool but after waiting 2 mins for a one sentence prompt I got; We have analyzed 1681 candidates and found 0 records matching the search criteria. The search was initiated 2…",{"id":122,"by":119,"text":123},"40804486","And then a second more simple Query ‘find me people who have posted on Mamba architecture and might be looking for jobs’ and got; We have analyzed 695 candidates and found 0…",{"id":125,"by":126,"text":127},"40802554","hidelooktropic","Search was \"Find companies that are looking for designers with a print background.\" Result was: \"We have analyzed 1072 candidates and found 0 records matching the search…",{"value":129,"source":50,"evidence":130},"Coverage is limited to about 50k companies and 100k people",[131,132],{"id":60,"by":11,"text":61},{"id":133,"by":134,"text":135},"40808389","armcat","Amazing concept! I am a heavy user of such tools, and typically build my own bespoke search. I tried out Find AI across a number of different queries, and I think the general…",{"value":137,"source":64,"evidence":138},"Privacy concerns about scraped personal data and bias in queries",[139,143],{"id":140,"by":141,"text":142},"40804906","neilv","Multiple examples are querying for \"female\" (which could be fine), and this prompted a thought... What happens when a customer is searching for hiring purposes, and searches…",{"id":144,"by":145,"text":146},"40802539","ThrowawayR2","Are people on LinkedIn with profiles set to private indexed?",[148,159],{"value":149,"source":64,"evidence":150},"Add non-tech verticals such as law and finance",[151,155],{"id":152,"by":153,"text":154},"40801591","evashang","When are you going to add non-tech companies? I'm constantly scanning bios like this for lawyers, especially on what types of law they practice and what types of cases they've…",{"id":156,"by":157,"text":158},"40802542","marigoldwhale","Thanks for the response. I think Tech\u002FVCs\u002FFinance are all pretty well correlated, you might want to consider branching out of that bubble of the world IMO.",{"value":160,"source":64,"evidence":161},"Provide an API",[162],{"id":133,"by":134,"text":135},[164],{"value":165,"source":64,"evidence":166},"Where does the profile data come from and is it scraped from LinkedIn",[167,171,175],{"id":168,"by":169,"text":170},"40804542","ilrwbwrkhv","\"LinkedIn-type data\". What does this mean? Are you scraping LinkedIn? How fresh is the data?",{"id":172,"by":173,"text":174},"40804304","howon92","Where does the data come from?",{"id":176,"by":177,"text":178},"40802784","derek12345derek","Can you please elaborate on this? If you don't scrape LI, where do the profile details come from (once you inferred the URL)? Is this publicly available data that can be bought…",[180,187,191],{"value":181,"source":64,"evidence":182},"LinkedIn Sales Navigator",[183],{"id":184,"by":185,"text":186},"40804525","mcmcmc","Why use this over LinkedIn Sales Navigator? Zoominfo\u002FDiscoverOrg? How much time have you actually spent prospecting? If you have to ask vague questions to find your prospects,…",{"value":188,"source":64,"evidence":189},"ZoomInfo and DiscoverOrg",[190],{"id":184,"by":185,"text":186},{"value":192,"source":64,"evidence":193},"Luna AI",[194],{"id":110,"by":111,"text":112},{"comments":196,"answered":197,"key":198},27,17,[199,200,203],{"id":80,"text":81},{"id":201,"text":202},"40802916","Update: >5k requests per minute to OpenAI right now",{"id":204,"text":205},"40803338","Yup, we have some decent safeguards in place. It’s technically difficult to allow logged out users to try the product, but I think people appreciate it.",{"commenters":207,"max_depth":208,"maker_replies":196,"first_comment_mins":34,"lifespan_hours":209},37,7,50,[211,215,219,222,224,225,229,231,234,236,239,240,243,247,249,251,252,255,258,261,263,265,267,269,270,271,274,277,279,282,286,287,291,293,297,301,305,306,309,311,314,316,320,324,326,328,330,334,336,340,344,346,348,350,353,356,358,360,363,365,366,368,369,372,375,378,381,383,386,388,390],[212,38,43,213,214,38],"40803820","project\u002Fneutral\u002Fprivacy","ben_jones",[216,38,38,217,218,38],"40803958","commenter\u002Fneutral\u002Fprivacy","jsemrau",[220,38,38,217,221,38],"40804110","johndhi",[80,33,38,223,11,33],"maker\u002Fneutral\u002Fnone",[201,33,38,223,11,33],[226,33,43,227,228,38],"40803289","maker\u002Fneutral\u002Fperformance","esafak",[204,33,38,230,11,33],"maker\u002Fneutral\u002Fexecution",[232,33,43,227,233,38],"40803745","Palmik",[235,33,38,227,11,33],"40805399",[237,33,43,238,218,38],"40807015","maker\u002Fneutral\u002Fpricing",[93,33,38,238,11,33],[241,39,43,238,242,38],"40803445","7thpower",[244,39,43,245,246,38],"40803636","project\u002Fneutral\u002Fperformance","nielsole",[248,39,38,245,11,33],"40803678",[118,43,33,250,119,38],"project\u002Fcritical\u002Fperformance",[122,43,33,250,119,38],[253,43,38,254,11,33],"40805338","project\u002Fneutral\u002Fdesign",[256,43,38,257,11,33],"40805326","project\u002Fneutral\u002Fexecution",[67,259,43,260,68,38],4,"project\u002Fneutral\u002Fpricing",[262,259,38,260,11,33],"40802514",[152,31,43,264,153,38],"project\u002Fneutral\u002Fidea",[266,31,38,264,11,33],"40801622",[268,31,43,264,157,38],"40802379",[60,31,38,264,11,33],[156,31,43,264,157,38],[272,31,38,273,153,38],"40802607","commenter\u002Fneutral\u002Fidea",[133,275,43,276,134,38],6,"project\u002Fmixed\u002Fexecution",[278,275,38,257,11,33],"40809708",[280,208,33,281,141,38],"40804750","project\u002Fcritical\u002Fidea",[283,284,43,264,285,38],"40804971",8,"akritrime",[103,284,38,264,11,33],[288,289,43,257,290,38],"40804194",9,"jrussino",[292,289,38,257,11,33],"40805418",[294,34,31,295,296,38],"40803999","project\u002Fpositive\u002Fidea","robertlagrant",[298,299,43,264,300,38],"40805291",11,"voiceblue",[302,303,43,245,304,38],"40802529",12,"mritchie712",[83,303,38,245,11,33],[307,303,43,245,308,38],"40802977","janalsncm",[310,303,38,245,11,33],"40803017",[312,303,43,245,313,38],"40803249","rahimnathwani",[315,303,38,227,11,33],"40803353",[317,303,38,318,319,38],"40805789","commenter\u002Fneutral\u002Fperformance","alach11",[321,322,31,323,221,38],"40804105",13,"project\u002Fpositive\u002Fperformance",[325,322,38,257,11,33],"40804113",[106,327,31,295,107,38],14,[168,329,43,213,169,38],15,[331,332,43,257,333,38],"40804915",16,"whiplash451",[335,332,38,257,11,33],"40805407",[337,197,33,338,339,38],"40804171","project\u002Fcritical\u002Fpricing","rvba",[341,342,43,257,343,38],"40803220",18,"mbrain",[345,342,38,257,11,33],"40803251",[172,347,43,213,173,38],19,[349,347,38,213,11,33],"40805450",[140,351,33,352,141,38],20,"project\u002Fcritical\u002Fprivacy",[125,354,33,355,126,38],21,"project\u002Fcritical\u002Fexecution",[357,354,38,257,11,33],"40802574",[184,359,33,281,185,38],22,[361,32,43,213,362,38],"40802408","toomuchtodo",[364,32,38,213,11,33],"40802445",[144,32,43,213,145,38],[367,32,38,264,11,33],"40802604",[176,32,43,213,177,38],[370,32,38,217,371,38],"40802814","lolinder",[373,32,33,352,374,38],"40803976","leobg",[376,32,38,377,11,33],"40805702","maker\u002Fneutral\u002Fprivacy",[110,379,31,380,111,38],24,"project\u002Fpositive\u002Fexecution",[382,379,38,223,11,33],"40823568",[384,18,33,355,385,38],"40802551","abrichr",[387,18,38,227,11,33],"40802556",[389,18,33,355,385,38],"40802592",[391,392,31,295,221,38],"40803030",26,[],[395,400,405,410,414,419],{"id":396,"name":397,"points":398,"category":399},"40740021","rahulilango.com",1054,"learning_science",{"id":401,"name":402,"points":403,"category":404},"40789672","flipdisc",455,"creative",{"id":406,"name":407,"points":408,"category":409},"40757951","Web Check",411,"dev_tools",{"id":411,"name":412,"points":413,"category":409},"40789353","From dotenv to dotenvx",354,{"id":415,"name":416,"points":417,"category":418},"40802557","alpha.reconquer.online",340,"games",{"id":420,"name":421,"points":422,"category":423},"40805010","Cerebrium voice agent (fastvoiceagent)",315,"ai",false,"v2",{"id":427,"name":5,"line":6,"ai":424,"cat":20,"year":13,"points":14,"comments":15,"rec":28,"s":428,"top":18,"kw":429,"maker":11,"domain":10,"tier":19,"attempts":38,"strip":430,"url":9,"mix":431,"praise":100,"objection":115,"sub":21},40801494,-0.08,[24,25,26,27],"3003333311333033103533305531331013301513",[31,32,33,34],1794036656822]