[{"data":1,"prerenderedAt":137},["ShallowReactive",2],{"project-47752197":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":34,"aspects":35,"strip":36,"post_text":29,"what":37,"said":47,"maker_in_thread":77,"shape":83,"grid":86,"attempts":98,"same_week":99,"maker_shows":129,"maker_hidden":130,"reader_version":131,"card":132},"47752197","ParseBench","Document parsing benchmark for AI agents","title","Show HN: ParseBench – Document parsing benchmark for AI agents","https:\u002F\u002Fwww.parsebench.ai\u002F","parsebench.ai","pierre",1776089235,2026,9,5,3371,4366,78,"shown","learning_science","benchmark","other",[24,25,26,27],"document parsing","pdf parsing benchmark","ocr evaluation","vlm benchmark","quiet",null,{"positive":31,"neutral":32,"mixed":33,"critical":33},1,2,0,3,{},[33,15,34,34,33],{"problem":38,"audience":29,"pricing":29,"motivation":29,"time_to_build":29,"stack":45,"openness":46,"stage":46,"team_size":46},{"value":39,"source":40,"evidence":41},"Evaluating how well document parsers handle full pages across charts, tables, styling, text and attribution","maker",[42],{"id":43,"by":11,"text":44},"47752297","Build a benchmark to evaluate how good document parser work on a dataset of 2000 PDFs manually annotated, trying to evaluate accross multiple dimensions: charts, tables, text…",[],"unknown",{"praise":48,"objections":61,"requests":62,"questions":63,"alternatives":68},[49],{"value":50,"source":51,"evidence":52},"Useful benchmark for comparing parsers","commenter",[53,57],{"id":54,"by":55,"text":56},"47753827","johngriffin","Nice! Interesting to see LlamaParse topping the leaderboard. We've been evaluating LiteParse for document parsing in Completeflow.ai",{"id":58,"by":59,"text":60},"47752313","ilikebigcutts","This is cool. Does it consider frontier VLMs?",[],[],[64],{"value":65,"source":51,"evidence":66},"Does it evaluate frontier VLMs?",[67],{"id":58,"by":59,"text":60},[69,73],{"value":70,"source":51,"evidence":71},"LlamaParse",[72],{"id":54,"by":55,"text":56},{"value":74,"source":51,"evidence":75},"LiteParse",[76],{"id":54,"by":55,"text":56},{"comments":32,"answered":31,"key":78},[79,80],{"id":43,"text":44},{"id":81,"text":82},"47752378","Yes, it evaluate using frontier model for parsing from all 3 major provider (google, anthropic and openai). It is also easy to extend to evaluaye new model (code\u002Fdataset is…",{"commenters":84,"max_depth":32,"maker_replies":32,"first_comment_mins":85,"lifespan_hours":34},4,7,[87,89,91,95,96],[43,33,33,88,11,31],"project\u002Fneutral\u002Fdesign",[54,31,15,90,55,33],"project\u002Fpositive\u002Fnone",[92,31,34,93,94,33],"47754659","project\u002Fneutral\u002Fnone","cheesyFish",[58,32,34,93,59,33],[81,32,33,97,11,31],"project\u002Fpositive\u002Fdesign",[],[100,105,110,115,120,124],{"id":101,"name":102,"points":103,"category":104},"47742200","boringBar",520,"productivity",{"id":106,"name":107,"points":108,"category":109},"47727960","Pardonned.com",501,"data",{"id":111,"name":112,"points":113,"category":114},"47739174","Oberon System 3",245,"infrastructure",{"id":116,"name":117,"points":118,"category":119},"47778306","tracksuccession.com",191,"web_saas",{"id":121,"name":122,"points":123,"category":119},"47749674","BrightBean Studio",190,{"id":125,"name":126,"points":127,"category":128},"47705413","Craft",177,"dev_tools",6,false,"v2",{"id":133,"name":5,"line":6,"ai":130,"cat":20,"year":13,"points":14,"comments":15,"rec":28,"s":29,"top":18,"kw":134,"maker":11,"domain":10,"tier":19,"attempts":33,"strip":135,"url":9,"mix":136,"praise":50,"objection":-1,"sub":21},47752197,[24,25,26,27],"05330",[31,32,33,33],1793991151326]