[{"data":1,"prerenderedAt":123},["ShallowReactive",2],{"maker-levkk":3},[4,36,62,81,106],{"id":5,"name":6,"line":7,"ai":8,"cat":9,"year":10,"points":11,"comments":12,"rec":13,"s":14,"top":15,"kw":16,"maker":22,"domain":23,"tier":24,"attempts":25,"strip":26,"url":27,"mix":28,"praise":33,"objection":34,"sub":35},30267539,"PgCat","PgCat, Postgres pooler with sharding, load balancing and failover",false,"infrastructure",2022,233,54,"mixed",0.32,9,[17,18,19,20,21],"postgres pooler","pgbouncer alternative","postgres sharding","rust postgres","connection pooling","levkk","github.com","notable",0,"0550000000003351300000300553050000000000","https:\u002F\u002Fgithub.com\u002Flevkk\u002Fpgcat",[29,30,31,32],8,4,1,2,"Excitement about Rust rewrite and small, lean codebase","Alpha quality with few tests and not production ready","connection pooler",{"id":37,"name":38,"line":39,"ai":8,"cat":40,"year":10,"points":41,"comments":42,"rec":43,"s":44,"top":45,"kw":46,"maker":22,"domain":51,"tier":52,"attempts":32,"strip":53,"url":54,"mix":55,"praise":59,"objection":60,"sub":61},31238396,"PostgresML","We've been hard at work for a few weeks and thought it's time for another update.","ai",444,70,"curious",0.11,3,[47,48,49,50],"postgres machine learning","in-database ml","postgresql extension","sql machine learning","postgresml.org","legend","5510553533313353333013551355333515333131","https:\u002F\u002Fpostgresml.org",[56,57,31,58],15,33,10,"Brings ML into the database, avoiding data export","Running ML on the primary OLTP database risks resource contention","ml in database",{"id":63,"name":38,"line":64,"ai":8,"cat":65,"year":10,"points":66,"comments":45,"rec":67,"s":68,"top":69,"kw":70,"maker":22,"domain":51,"tier":75,"attempts":25,"strip":76,"url":77,"mix":78,"praise":79,"objection":-1,"sub":80},31729204,"PostgresML integrates Hugging Face to bring SOTA models into the db","data",14,"quiet",null,69,[71,72,73,74,50],"postgres","hugging face","transformers","in-database inference","shown","303","https:\u002F\u002Fpostgresml.org\u002Fuser_guides\u002Ftransformers\u002Fpre_trained_models\u002F",[25,32,25,25],"Makes Hugging Face models easy to access from Postgres","machine learning in databases",{"id":82,"name":83,"line":84,"ai":8,"cat":85,"year":86,"points":87,"comments":88,"rec":89,"s":90,"top":32,"kw":91,"maker":22,"domain":23,"tier":52,"attempts":25,"strip":97,"url":98,"mix":99,"praise":103,"objection":104,"sub":105},41914544,"Rust Web Framework","Hi everyone, I've been \"funemployed\" for a few months and with all that free time and idle hands I wrote a…","languages",2024,488,258,"debated",0.14,[92,93,94,95,96],"rust web framework","rust mvc","rust orm","django rust","rails rust","3000000000310323405242534135000050000133","https:\u002F\u002Fgithub.com\u002Flevkk\u002Frwf",[100,101,32,102],19,26,18,"Fills a gap for a Django\u002FRails-style framework in Rust","Building a custom ORM and template language instead of using existing ones","web framework",{"id":107,"name":108,"line":109,"ai":8,"cat":9,"year":110,"points":111,"comments":112,"rec":43,"s":113,"top":45,"kw":114,"maker":22,"domain":23,"tier":52,"attempts":32,"strip":116,"url":117,"mix":118,"praise":120,"objection":121,"sub":122},47123631,"PgDog","Scale Postgres without changing the app",2026,326,63,0.26,[19,35,115,18],"postgres load balancer","3553533300033033310550303503303130533555","https:\u002F\u002Fgithub.com\u002Fpgdogdev\u002Fpgdog",[58,119,25,32],20,"Useful connection pooler and sharding progress","Cross-shard queries still incomplete and may return incorrect results","database proxy and sharding",1793991266300]