[{"data":1,"prerenderedAt":453},["ShallowReactive",2],{"project-9652367":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":35,"aspects":36,"strip":45,"post_text":47,"what":48,"said":65,"maker_in_thread":173,"shape":184,"grid":188,"attempts":416,"same_week":417,"maker_shows":18,"maker_hidden":445,"reader_version":446,"card":447},"9652367","Green Cards explorer (jobsintech)","Explore 16 Years of Green Card Applications","title","Show HN: Explore 16 Years of Green Card Applications","http:\u002F\u002Fdata.jobsintech.io\u002Fgreen-cards","data.jobsintech.io","negrit",1433338461,2015,173,83,108,2565,5,"notable","data","public records explorer","web_app",[24,25,26,27,28],"green card data","h-1b statistics","perm applications","immigration data","uscis","curious",-0.088,{"positive":18,"neutral":32,"mixed":33,"critical":34},40,1,11,57,{"docs":37,"idea":39,"execution":40,"privacy":42,"design":43},{"positive":38,"critical":38},0,{"positive":38,"critical":33},{"positive":38,"critical":41},8,{"positive":38,"critical":33},{"positive":44,"critical":33},2,[46,18,46,46,46,33,46,46,46,33,38,38,38,38,33,38,46,33,46,46,46,46,33,46,33,18,46,46,33,33,33,46,18,46,46,18,46,46,33,46],3,null,{"problem":49,"audience":47,"pricing":47,"motivation":47,"time_to_build":47,"stack":56,"openness":63,"stage":64,"team_size":63},{"value":50,"source":51,"evidence":52},"Makes public US immigration application records browsable by country, job, city and company","maker",[53],{"id":54,"by":11,"text":55},"9652549","Hello everyone. I quickly built this little tool based on public records provided by the government. I did the same a couple weeks ago with H-1Bs and I just added over 1.1million…",[57],{"value":58,"source":51,"evidence":59},"PostgreSQL",[60],{"id":61,"by":11,"text":62},"9657154","PostgreSQL :)","unknown","launched",{"praise":66,"objections":83,"requests":125,"questions":150,"alternatives":172},[67],{"value":68,"source":69,"evidence":70},"Great, interesting tool with useful data visualisation","commenter",[71,75,79],{"id":72,"by":73,"text":74},"9654140","slater","Awesome! Nit-pick: Any chance you could right-align the columns with numbers, and add thousand delimiters?",{"id":76,"by":77,"text":78},"9656524","maximedev","This is a really great tool. Kudos to negrit.",{"id":80,"by":81,"text":82},"9653775","rvdm","Excellent way of drawing attention to the subject! Kudos. Might be interesting to explore the option of adding a beautiful data vis on the home page to capture the user's…",[84,99,114],{"value":85,"source":69,"evidence":86},"Data covers only PERM labor certifications, not all green card categories",[87,91,95],{"id":88,"by":89,"text":90},"9653948","thrwy10","What is this? This website indexes all available LCAs from 2001 to 2015. Where does the information come from? LCAs are public records and provided by the \"Office of Foreign…",{"id":92,"by":93,"text":94},"9656435","klipt","Since it has salary data it must be based on PERMs, which only cover a subset of employment green cards.",{"id":96,"by":97,"text":98},"9653987","bradleyjg","Are these across all LPR categories—i.e. employment based, family based, DV, asylum, etc.? The numbers make me inclined to think not, but I can't find any explanation on the…",{"value":100,"source":69,"evidence":101},"Success rate shows NaN for zero denominators",[102,106,110],{"id":103,"by":104,"text":105},"9655087","slipjack","As mentioned in one of the other comments, you're getting NaN% for some success rates. I'm guessing it's because you're using the number of certified as the denominator, which…",{"id":107,"by":108,"text":109},"9653593","vinay427","Getting an 'NaN' for the Success Rate in the table at the bottom of that page. May be something for OP to look into.",{"id":111,"by":112,"text":113},"9657148","ighost","Oh man Palau has NaN% software engineers accepted :(",{"value":115,"source":69,"evidence":116},"Salary feature exposes individuals' salaries and privacy concerns",[117,121],{"id":118,"by":119,"text":120},"9654783","chrissnell","The 'salary' feature is pretty telling. I just looked up a former coworker by searching for the company and narrowing down by the hire year. I knew what country he was from so I…",{"id":122,"by":123,"text":124},"9654321","jlees","Neat tool, though it's a little disconcerting to be able to easily find my application - not your fault, though, the data was already there!",[126,133,143],{"value":127,"source":69,"evidence":128},"Filter or breakdown by visa category such as EB1, EB2",[129],{"id":130,"by":131,"text":132},"9656497","anorark","This looks great! Can the green card data be shown by categories? Like how many green cards applications were filed in each category like EB1, EB2, etc.",{"value":134,"source":69,"evidence":135},"Add percent of population column per country",[136,140],{"id":137,"by":138,"text":139},"9652615","rb2k_","Thanks for the work to present that data in a nice and explorable way! It would be awesome to have another column next to \"% of Greencards\" that says \"% of population\". One of…",{"id":141,"by":138,"text":142},"9653993","yes, and that's why I'd love to have another column to figure out if there are any countries that have statistically significant higher\u002Flower Greencards per capita :) It's…",{"value":144,"source":69,"evidence":145},"Allow running SQL select queries on the data",[146],{"id":147,"by":148,"text":149},"9652860","netheril96","Any way for us to run `select` queries ourselves?",[151,161],{"value":152,"source":69,"evidence":153},"Why do the numbers differ across countries like India and China or Mexico",[154,158],{"id":155,"by":156,"text":157},"9652793","npalli","Is there some filter on this data? Green Card for a certain type of job? India has 280K greencards and Mexico only 40K greencards in 16 years? That doesn't seem right.",{"id":159,"by":156,"text":160},"9653901","Even China has only 45K greencards. They seem to follow the same pattern as India for immigration, so what category are they coming in. Last I checked both countries (India,…",{"value":162,"source":69,"evidence":163},"Why are Soviet Union and Czechoslovakia listed for later years",[164,168],{"id":165,"by":166,"text":167},"9652589","DrJokepu","Also, the Soviet Union was dissolved in 1991, how come there were 4 USSR nationals between 2001 and 2015 applying for permanent residency?",{"id":169,"by":170,"text":171},"9653521","gambiting","Yeah, Czechoslovakia is also on the list, even though they split in 1993.",[],{"comments":174,"answered":175,"key":176},12,6,[177,178,181],{"id":54,"text":55},{"id":179,"text":180},"9652978","I haven't planned it but why not. I don't really know how to do it though.",{"id":182,"text":183},"9654517","My bad. Fixing it ASAP",{"commenters":185,"max_depth":18,"maker_replies":174,"first_comment_mins":186,"lifespan_hours":187},59,19,55,[189,191,195,199,202,204,205,209,213,215,217,221,222,225,226,228,230,233,237,239,241,244,247,250,254,257,259,261,264,267,270,274,278,280,283,286,288,290,291,294,297,300,302,305,309,310,311,313,314,316,318,321,324,327,331,332,333,336,341,344,348,350,352,356,357,361,364,367,369,373,376,380,382,385,388,392,394,398,401,403,405,408,412],[54,38,38,190,11,33],"maker\u002Fneutral\u002Fnone",[192,38,46,193,194,38],"9652669","project\u002Fneutral\u002Fdocs","Jake232",[196,38,18,197,198,38],"9652670","maker\u002Fpositive\u002Fnone","roddit",[200,38,18,197,201,38],"9652838","Oras",[147,38,46,203,148,38],"project\u002Fneutral\u002Fnone",[179,38,38,190,11,33],[206,38,46,207,208,38],"9653537","project\u002Fneutral\u002Fidea","the_economist",[210,38,46,211,212,38],"9654319","project\u002Fneutral\u002Fexecution","SuperKlaus",[182,38,38,214,11,33],"maker\u002Fneutral\u002Fexecution",[122,38,46,216,123,38],"project\u002Fmixed\u002Fprivacy",[218,38,33,219,220,38],"9654749","project\u002Fcritical\u002Fdesign","dalek2point3",[130,38,46,207,131,38],[223,38,46,190,224,38],"9657003","bootload",[61,38,38,214,11,33],[227,38,46,214,224,38],"9663431",[229,38,38,214,11,33],"9667910",[231,33,46,193,232,38],"9653250","vowelless",[234,33,38,235,236,38],"9655821","commenter\u002Fneutral\u002Fnone","hpagey",[88,44,33,238,89,38],"project\u002Fcritical\u002Fidea",[240,44,38,235,97,38],"9654053",[242,44,38,243,11,33],"9654084","maker\u002Fneutral\u002Fdocs",[245,44,38,246,93,38],"9656305","commenter\u002Fneutral\u002Fdocs",[248,44,38,235,249,38],"9656885","tricolon",[251,46,38,252,253,38],"9656917","other\u002Fneutral\u002Fnone","ausjke",[255,46,38,235,256,38],"9657099","cesarbs",[258,46,38,252,253,38],"9657610",[260,46,38,252,256,38],"9657117",[262,46,38,252,263,38],"9657499","a8da6b0c91d",[265,46,38,252,266,38],"9657276","analyst74",[118,268,33,269,119,38],4,"project\u002Fcritical\u002Fprivacy",[271,18,46,272,273,38],"9654957","project\u002Fneutral\u002Fprivacy","parennoob",[275,18,38,276,277,38],"9657165","commenter\u002Fneutral\u002Fprivacy","bruceb",[279,18,38,276,273,38],"9657603",[281,175,46,211,282,38],"9652503","yitchelle",[284,175,46,211,285,38],"9652513","gt565k",[165,175,33,287,166,38],"project\u002Fcritical\u002Fexecution",[289,175,38,214,11,33],"9652641",[169,175,46,211,170,38],[292,175,46,207,293,38],"9653884","tlrobinson",[295,175,46,211,296,38],"9656920","lazaroclapp",[298,175,46,211,299,38],"9652664","i_don_t_know",[137,301,46,207,138,38],7,[303,301,46,211,304,38],"9652647","i_have_to_speak",[306,301,38,307,308,38],"9653378","commenter\u002Fneutral\u002Fexecution","Flammy",[141,301,46,207,138,38],[155,41,33,287,156,38],[312,41,46,211,93,38],"9653666",[159,41,46,211,156,38],[315,41,46,211,93,38],"9656401",[103,317,33,287,104,38],9,[319,317,33,287,320,38],"9655884","markdown",[80,322,18,323,81,38],10,"project\u002Fpositive\u002Fdesign",[325,322,38,326,11,33],"9653780","maker\u002Fneutral\u002Fdesign",[328,322,46,329,330,38],"9655429","maker\u002Fneutral\u002Fidea","jameshart",[96,34,46,193,97,38],[92,34,46,193,93,38],[334,174,46,207,335,38],"9657164","chdir",[337,338,46,339,340,38],"9653283",13,"project\u002Fneutral\u002Fdesign","awjr",[342,338,38,343,11,33],"9654107","maker\u002Fpositive\u002Fdesign",[345,346,33,287,347,38],"9653990",14,"scrumper",[349,346,38,214,11,33],"9654070",[351,346,33,287,347,38],"9655964",[353,354,46,203,355,38],"9653434",15,"bechampion",[107,354,33,287,108,38],[358,359,46,203,360,38],"9653151",16,"mbellani",[362,359,46,203,363,38],"9653410","demodifier",[365,359,46,193,366,38],"9653763","govindkabra31",[72,368,18,323,73,38],17,[370,371,46,203,372,38],"9654339",18,"peter303",[374,186,46,193,375,38],"9653380","username3",[377,378,46,203,379,38],"9653239",20,"TobbenTM",[381,378,38,252,11,33],"9654128",[383,378,46,203,384,38],"9654394","marchdown",[76,386,18,387,77,38],21,"project\u002Fpositive\u002Fnone",[389,390,46,203,391,38],"9654577",22,"kitwalker12",[393,390,46,203,220,38],"9654742",[395,396,46,203,397,38],"9652813",23,"dataker",[399,400,46,203,375,38],"9653425",24,[402,400,38,190,11,33],"9653546",[111,404,33,287,112,38],25,[406,404,38,235,407,38],"9657177","catshirt",[409,410,46,203,411,38],"9654329",26,"heliumcraft",[413,414,46,211,415,38],"9656729",27,"serge2k",[],[418,423,427,432,436,441],{"id":419,"name":420,"points":421,"category":422},"9624673","Percy.io",249,"dev_tools",{"id":424,"name":425,"points":426,"category":422},"9643579","Diff.io",194,{"id":428,"name":429,"points":430,"category":431},"9635037","Karplus-Strong Guitar Synthesizer",171,"creative",{"id":433,"name":434,"points":430,"category":435},"9654091","Differential Equations Explained","learning_science",{"id":437,"name":438,"points":439,"category":440},"9624043","Startup Developer Jobs",150,"web_saas",{"id":442,"name":443,"points":444,"category":431},"9640218","Viktor",127,false,"v2",{"id":448,"name":5,"line":6,"ai":445,"cat":20,"year":13,"points":14,"comments":15,"rec":29,"s":449,"top":18,"kw":450,"maker":11,"domain":10,"tier":19,"attempts":38,"strip":451,"url":9,"mix":452,"praise":68,"objection":85,"sub":21},9652367,-0.09,[24,25,26,27,28],"3533313331000010313333131533111353353313",[18,32,33,34],1794036531934]