[{"data":1,"prerenderedAt":872},["ShallowReactive",2],{"project-43899028":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":29,"sentiment":30,"stance_mix":31,"scored_comments":36,"aspects":37,"strip":47,"post_text":49,"what":50,"said":96,"maker_in_thread":185,"shape":196,"grid":200,"attempts":835,"same_week":836,"maker_shows":42,"maker_hidden":864,"reader_version":865,"card":866},"43899028","RealtimeVoiceChat","Real-time AI Voice Chat at ~500ms Latency","title","Show HN: Real-time AI Voice Chat at ~500ms Latency","https:\u002F\u002Fgithub.com\u002FKoljaB\u002FRealtimeVoiceChat","github.com","koljab",1746476252,2025,524,227,64,3837,2,"legend","ai","voice assistant","web_app",[24,25,26,27,28],"voice chat","speech to text","text to speech","local llm","realtime voice","curious",-0.051,{"positive":32,"neutral":33,"mixed":34,"critical":35},12,52,4,18,86,{"execution":38,"performance":41,"idea":44,"docs":45,"design":46},{"positive":39,"critical":40},0,10,{"positive":42,"critical":43},1,3,{"positive":18,"critical":18},{"positive":39,"critical":39},{"positive":18,"critical":43},[48,43,34,42,43,43,39,39,43,39,42,43,43,18,39,42,39,43,39,42,42,34,34,42,39,43,18,43,39,34,43,42,48,43,43,18,43,42,34,34],5,null,{"problem":51,"audience":49,"pricing":49,"motivation":58,"time_to_build":49,"stack":62,"openness":93,"stage":94,"team_size":95},{"value":52,"source":53,"evidence":54},"High latency in voice AI conversations","maker",[55],{"id":56,"by":11,"text":57},"43899029","I built RealtimeVoiceChat because I was frustrated with the latency in most voice AI interactions. This is an open-source (MIT license) system designed for real-time, local voice…",{"value":59,"source":53,"evidence":60},"Frustration with latency in most voice AI interactions",[61],{"id":56,"by":11,"text":57},[63,69,75,79,83,89],{"value":64,"source":53,"evidence":65},"Python",[66],{"id":67,"by":11,"text":68},"43915080","Yes, you're absolutely right. I'll provide UV and conda support soon, especially for Windows. I'm using python 3.10 still, maybe that's the issue. You can always mail me your…",{"value":70,"source":53,"evidence":71},"Whisper (base.en via CTranslate2)",[72],{"id":73,"by":11,"text":74},"43899809","All local models: - VAD: Webrtcvad (first fast check) followed by SileroVAD (high compute verification) - Transcription: base.en whisper (CTranslate2) - Turn Detection:…",{"value":76,"source":53,"evidence":77},"Coqui XTTSv2",[78],{"id":73,"by":11,"text":74},{"value":80,"source":53,"evidence":81},"Ollama with Mistral Small 24B",[82],{"id":73,"by":11,"text":74},{"value":84,"source":53,"evidence":85},"Silero VAD",[86],{"id":87,"by":11,"text":88},"43900517","It's in fact using Silero via RealtimeSTT. RealtimeSTT tells when silence starts. Then a binary sentence classification model is used on the realtime transcription text which…",{"value":90,"source":53,"evidence":91},"WebSockets",[92],{"id":56,"by":11,"text":57},"open_source","launched","solo",{"praise":97,"objections":113,"requests":128,"questions":151,"alternatives":163},[98,106],{"value":99,"source":100,"evidence":101},"Interruption handling is impressive","commenter",[102],{"id":103,"by":104,"text":105},"43899520","joshstrange","This is very, very cool! The interrupting was a \"wow\" moment for me (I know it's not \"new new\" but to see it so well done in open source was awesome). Question about the…",{"value":107,"source":100,"evidence":108},"Lightweight web front end and VAD implementation liked",[109],{"id":110,"by":111,"text":112},"43899400","oldgregg","Nice work, I like the lightweight web front end and your implementation of VAD.",[114,121],{"value":115,"source":100,"evidence":116},"Requires a CUDA GPU; hard to set up on Windows and Python versions",[117],{"id":118,"by":119,"text":120},"43903717","sabellito","Every time I see these things, they look cool as hell, I get excited, then I try to get them working on my gaming PC (that has the GPU), I spend 1-2h fighting with python and…",{"value":122,"source":100,"evidence":123},"Speech voice quality sounds worse than leading voice AIs",[124],{"id":125,"by":126,"text":127},"43900214","bufferoverflow","It's fast, but it doesn't sound good. Many voice chat AIs are way ahead and sound natural.",[129,140],{"value":130,"source":100,"evidence":131},"Support for Mac or Raspberry Pi",[132,136],{"id":133,"by":134,"text":135},"43899897","dcreater","Does the docker container work on Mac?",{"id":137,"by":138,"text":139},"43900825","nitrogen99","Will this work on a Raspberry Pi?",{"value":141,"source":100,"evidence":142},"Better TTS models such as Dia",[143,147],{"id":144,"by":145,"text":146},"43899788","fintechie","Quite good, it would sound much better with SOTA voices though: https:\u002F\u002Fgithub.com\u002Fnari-labs\u002Fdia",{"id":148,"by":149,"text":150},"43902378","SillyUsername","Have you considered using Dia for the TTS? I believe this is currently \"best in class\" https:\u002F\u002Fgithub.com\u002Fnari-labs\u002Fdia",[152,156],{"value":153,"source":100,"evidence":154},"How interruptions handle short noises like 'mmk' or coughs",[155],{"id":103,"by":104,"text":105},{"value":157,"source":100,"evidence":158},"Whether multiple simultaneous clients are supported",[159],{"id":160,"by":161,"text":162},"43903460","blueblisters","Does this work for simultaneous multiple clients at the same endpoint?",[164,171,178],{"value":165,"source":100,"evidence":166},"Sesame",[167],{"id":168,"by":169,"text":170},"43899928","cannonpr","Kind of surprised nobody has brought up https:\u002F\u002Fwww.sesame.com\u002Fresearch\u002Fcrossing_the_uncanny_valley_of_voice#demo It interacts nearly like a human, can and does interrupt me once…",{"value":172,"source":100,"evidence":173},"Pipecat",[174],{"id":175,"by":176,"text":177},"43900219","dummydummy1234","Have you looked at pipecat, seems to be similar trying to do standardized backend\u002Fwebrtc turn detection pipelines.",{"value":179,"source":100,"evidence":180},"Dia",[181],{"id":182,"by":183,"text":184},"43899389","kristopolous","https:\u002F\u002Fyummy-fir-7a4.notion.site\u002Fdia is the new hotness.",{"comments":186,"answered":187,"key":188},25,17,[189,190,193],{"id":56,"text":57},{"id":191,"text":192},"43899254","I'm not sure tbh. Whisper was king for so long time now, especially with the ctranslate2 implementation from faster_whisper. Now nvidia open sourced Parakeet TDT today and it…",{"id":194,"text":195},"43899452","Tried that one. Quality is great but sometimes generations fail and it's rather slow. Also needs ~13 GB of VRAM, it's not my first choice for voice agents tbh.",{"commenters":197,"max_depth":198,"maker_replies":186,"first_comment_mins":39,"lifespan_hours":199},157,9,276,[201,203,207,208,211,213,215,218,220,223,225,228,231,233,237,238,241,243,247,250,253,255,257,261,264,267,271,273,276,278,280,283,285,289,292,295,298,301,303,307,310,312,315,317,319,322,324,328,331,333,337,340,343,345,348,351,354,357,360,363,366,370,372,376,379,382,384,387,390,393,396,399,402,405,407,410,413,416,419,420,424,427,430,433,435,438,441,444,447,450,453,456,458,461,463,466,469,471,473,475,477,480,483,485,487,489,491,493,496,499,502,505,508,511,514,517,520,523,526,528,531,533,535,537,540,543,546,549,551,554,557,560,564,567,571,574,577,579,582,584,587,590,592,594,597,600,603,606,608,611,614,617,620,623,626,629,631,633,636,638,641,644,647,649,652,655,657,659,662,664,667,669,671,675,676,679,683,686,689,691,695,698,699,701,704,708,712,716,720,724,726,730,732,734,737,741,744,747,748,752,754,758,762,765,768,771,773,775,777,780,784,787,791,794,797,799,800,804,808,812,814,818,822,824,827,831,833],[56,39,39,202,11,42],"maker\u002Fneutral\u002Fnone",[204,39,43,205,206,39],"43899129","project\u002Fneutral\u002Fexecution","ivape",[191,39,39,205,11,42],[209,39,48,210,206,39],"43899274","maker\u002Fpositive\u002Fnone",[182,39,39,212,183,39],"other\u002Fneutral\u002Fnone",[194,39,39,214,11,42],"other\u002Fneutral\u002Fperformance",[216,39,43,217,183,39],"43899582","project\u002Fneutral\u002Fperformance",[219,39,39,217,11,42],"43899726",[221,39,43,217,222,39],"43901843","nardi",[224,39,39,217,11,42],"43915038",[226,39,39,212,227,39],"43899769","oezi",[229,39,43,217,230,39],"43899238","dotancohen",[232,39,39,217,11,42],"43899257",[234,39,43,235,236,39],"43899657","project\u002Fneutral\u002Fnone","echelon",[73,39,39,235,11,42],[239,39,48,240,236,39],"43901519","project\u002Fpositive\u002Fidea",[242,39,39,212,11,42],"43915055",[244,39,42,245,246,39],"43899391","project\u002Fcritical\u002Fexecution","zaggynl",[248,39,39,214,249,39],"43900942","dankwizard",[251,39,39,214,252,39],"43901854","lhl",[175,39,39,254,176,39],"other\u002Fneutral\u002Fidea",[256,39,39,254,11,42],"43903598",[258,39,43,259,260,39],"43900886","project\u002Fneutral\u002Fdocs","peterldowns",[262,39,39,212,263,39],"43901803","Buckaroo9",[265,39,39,212,266,39],"43902381","optimog",[268,39,43,269,270,39],"43909839","project\u002Fmixed\u002Fdesign","wkat4242",[272,39,39,259,11,42],"43914930",[274,39,43,275,270,39],"43916417","project\u002Fmixed\u002Fexecution",[277,39,39,205,11,42],"43918946",[279,39,39,235,11,42],"43914996",[281,39,43,217,282,39],"43901323","karimf",[284,39,39,217,11,42],"43915031",[286,39,43,287,288,39],"43901398","project\u002Fneutral\u002Fidea","riquito",[290,39,39,254,291,39],"43902577","justlikereddit",[293,39,39,254,294,39],"43902873","Dr4kn",[296,39,39,212,297,39],"43903179","supermatt",[299,39,39,254,300,39],"43902741","TeMPOraL",[302,39,39,212,294,39],"43902887",[304,39,39,305,306,39],"43903546","other\u002Fneutral\u002Fprivacy","Dlemo",[308,39,39,305,309,39],"43903703","jillyboel",[311,39,39,305,306,39],"43908951",[313,39,39,305,314,39],"43909505","ben_w",[316,39,39,305,309,39],"43909699",[318,39,39,287,11,42],"43903581",[320,39,39,212,321,39],"43902665","pzo",[323,39,39,214,11,42],"43903590",[325,39,48,326,327,39],"43903846","project\u002Fpositive\u002Fnone","jokethrowaway",[329,39,43,217,330,39],"43910324","tmaly",[332,39,39,217,11,42],"43914959",[334,42,42,335,336,39],"43899154","project\u002Fcritical\u002Fidea","smusamashah",[338,42,39,254,339,39],"43899202","qwertox",[341,42,39,212,342,39],"43899235","twodave",[344,42,39,254,206,39],"43899249",[346,42,39,212,347,39],"43901766","flippy_flops",[349,42,39,212,350,39],"43901884","accrual",[352,42,39,212,353,39],"43906817","genewitch",[355,42,43,287,356,39],"43899244","emtrixx",[358,42,42,335,359,39],"43899247","SubiculumCode",[361,42,39,212,362,39],"43899301","WhitneyLand",[364,42,39,212,365,39],"43899667","mvdtnz",[367,42,39,368,369,39],"43901489","commenter\u002Fneutral\u002Fidea","jyoung8607",[371,42,39,212,353,39],"43906778",[373,42,43,374,375,39],"43899410","project\u002Fneutral\u002Fdesign","LZ_Khan",[377,42,39,212,378,39],"43900176","amelius",[380,42,43,374,381,39],"43912220","joshspankit",[383,42,43,374,104,39],"43899559",[385,42,39,254,386,39],"43901054","jiehong",[388,42,43,287,389,39],"43901129","Bjartr",[391,42,39,212,392,39],"43902055","Quizzical4230",[394,42,39,212,395,39],"43903282","VagabundoP",[397,42,39,212,398,39],"43901032","mmoustafa",[400,42,39,212,401,39],"43901229","cyjackx",[403,42,43,287,404,39],"43901556","randomcatuser",[406,42,43,287,336,39],"43903150",[408,42,43,287,409,39],"43901845","cwackerfuss",[411,42,43,217,412,39],"43902210","energy123",[414,42,43,287,415,39],"43904294","scotty79",[417,42,39,212,418,39],"43905256","tjbiddle",[118,18,42,245,119,39],[421,18,39,422,423,39],"43903910","commenter\u002Fneutral\u002Fnone","jhoho",[425,18,39,422,426,39],"43904445","regularfry",[428,18,39,422,429,39],"43904499","underdeserver",[431,18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de_",[745,187,39,212,746,39],"43903913","XCSme",[148,35,43,205,149,39],[749,750,39,714,751,39],"43904011",19,"rane",[110,753,48,658,111,39],20,[755,756,43,287,757,39],"43904076",21,"jak0",[759,760,42,562,761,39],"43899491",22,"breaker-kind",[763,760,43,374,764,39],"43899517","PhunkyPhil",[766,760,42,245,767,39],"43899697","diggernet",[769,760,39,212,770,39],"43899771","kevinsync",[772,760,39,661,11,42],"43899998",[774,760,39,422,570,39],"43900015",[776,760,39,422,715,39],"43901185",[778,760,43,374,779,39],"43899770","valbaca",[781,782,42,245,783,39],"43900091",23,"tintor",[785,782,39,786,11,42],"43900599","maker\u002Fneutral\u002Fexecution",[788,789,42,245,790,39],"43900115",24,"lacoolj",[792,789,39,212,793,39],"43900620","esafak",[795,789,43,205,796,39],"43901133","alluro2",[798,789,39,212,715,39],"43901203",[125,186,42,697,126,39],[801,802,48,326,803,39],"43900377",26,"purplezooey",[805,806,43,287,807,39],"43903930",27,"singularity2001",[809,810,48,326,811,39],"43926630",28,"glossardi",[160,813,43,217,161,39],29,[815,816,43,217,817,39],"43901558",30,"2809",[819,820,48,326,821,39],"43901613",31,"orliesaurus",[133,823,43,205,134,39],32,[825,823,39,826,11,42],"43899972","maker\u002Fneutral\u002Fperformance",[828,829,48,326,830,39],"43901827",33,"stevage",[137,832,43,217,138,39],34,[834,832,42,697,426,39],"43903339",[],[837,841,846,851,855,860],{"id":838,"name":839,"points":840,"category":20},"43905942","Clippy",1122,{"id":842,"name":843,"points":844,"category":845},"43880962","BreezePDF",791,"productivity",{"id":847,"name":848,"points":849,"category":850},"43873074","Anukari",512,"creative",{"id":852,"name":853,"points":854,"category":845},"43891245","AI 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