[{"data":1,"prerenderedAt":338},["ShallowReactive",2],{"project-7940030":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":45,"post_text":46,"what":47,"said":86,"maker_in_thread":206,"shape":217,"grid":220,"attempts":300,"same_week":301,"maker_shows":44,"maker_hidden":330,"reader_version":331,"card":332},"7940030","Seed-DB funding visualization","$4.4B in Startup Funding Rounds Visualized","title","Show HN: $4.4B in Startup Funding Rounds Visualized","http:\u002F\u002Fwww.machete.io\u002Fboard\u002Fview\u002Fseed_db_funding_rounds\u002F157a518b-cbf2-4bde-84b4-98cfa0bc15ba","machete.io","viggity",1403638741,2014,85,36,341,2272,16,"notable","data","data visualisation","web_app",[24,25,26,27,28],"startup funding","data visualization","accelerator","dc.js","crossfilter","mixed",-0.167,{"positive":32,"neutral":33,"mixed":34,"critical":35},3,6,1,8,18,{"design":38,"idea":39,"execution":41,"docs":43},{"positive":34,"critical":34},{"positive":34,"critical":40},0,{"positive":40,"critical":42},5,{"positive":40,"critical":44},2,[40,32,40,42,40,34,40,32,40,32,40,40,40,40,34,40,34,40,34,34,34,32,34,32,40,40,40,40,32,40,34,40,32,40,42,42],null,{"problem":48,"audience":55,"pricing":60,"motivation":66,"time_to_build":46,"stack":70,"openness":84,"stage":85,"team_size":84},{"value":49,"source":50,"evidence":51},"Makes startup funding round data explorable and filterable","inferred",[52],{"id":53,"by":11,"text":54},"7940060","I created this with a new service I released (Machete). Machete is built on top of dc.js (which in turn is built on d3.js and crossfilter). dc and d3 both have decent learning…",{"value":56,"source":57,"evidence":58},"Non-programmers and developers prototyping data visualizations","maker",[59],{"id":53,"by":11,"text":54},{"value":61,"source":57,"evidence":62},"Public projects free, private projects have a modest fee",[63],{"id":64,"by":11,"text":65},"7940442","http:\u002F\u002Fwww.seed-db.com\u002Fcompanies\u002Ffunding?value=1 plus a little extra meta-data from crunchbase. Seed-DB (so far as I can tell) only tracks startups that went through an…",{"value":67,"source":57,"evidence":68},"Make data visualization accessible to non-programmers",[69],{"id":53,"by":11,"text":54},[71,74,78],{"value":27,"source":57,"evidence":72},[73],{"id":53,"by":11,"text":54},{"value":75,"source":57,"evidence":76},"d3.js",[77],{"id":53,"by":11,"text":54},{"value":28,"source":57,"evidence":79},[80,81],{"id":53,"by":11,"text":54},{"id":82,"by":11,"text":83},"7942294","Median might solve some of that issue, unfortunately it is computationally heavy to do median on a rolling basis, unlike average. Part of the reason the filters work so quickly…","unknown","beta",{"praise":87,"objections":111,"requests":154,"questions":177,"alternatives":200},[88,100],{"value":89,"source":90,"evidence":91},"Good visualization and dc.js work","commenter",[92,96],{"id":93,"by":94,"text":95},"7942815","cturhan","dc.js as always made a good job.",{"id":97,"by":98,"text":99},"7940408","CGamesPlay","Looks good. There are two things that will be really important: - How is data imported? It would be great to be able to set up custom SQL queries, CSV imports, and other service…",{"value":101,"source":90,"evidence":102},"Interesting stats on YC share of funding",[103,107],{"id":104,"by":105,"text":106},"7940928","henryw","Wow, YC-accelerated companies has captured 64% of the 4.4B.",{"id":108,"by":109,"text":110},"7941608","cordie","This is a crazy stat... Seriously.",[112,131,140,147],{"value":113,"source":90,"evidence":114},"Data is incomplete, missing many well-funded startups",[115,119,123,127],{"id":116,"by":117,"text":118},"7940377","codemac","Where are you getting the data for this? It seems to be missing a fair number of startups that have had significant (>20M) rounds.",{"id":120,"by":121,"text":122},"7940642","ChrisBland","for example you are missing Groupon which raised multiple large rounds.",{"id":124,"by":125,"text":126},"7940918","balls187","The data is missing a lot of Seattle based startups. Including some of the larger non-exited startups: Chef raised 65 million. INRIX 78.1 million Avalara 84.6 million",{"id":128,"by":129,"text":130},"7942671","TenJack","Also, some of the existing data does not seem up to date. Just looked up Instacart and CrunchBase has them at 54M raised whereas your chart says 11M.",{"value":132,"source":90,"evidence":133},"Title implies all funding, but data covers only accelerator startups",[134,137],{"id":135,"by":125,"text":136},"7940882","> Seed-DB (so far as I can tell) only tracks startups that went through an accelerator. You should alter the HN post's title to reflect that.",{"id":138,"by":125,"text":139},"7941303","It wasn't apparent from the title that this data was mostly from Seed-DB, and partly from Crunchbase. Seed-DB is accelerator based funding, and the crunchbase data that was used…",{"value":141,"source":90,"evidence":142},"Filtering and changing sort leaves bubbles hard to find",[143],{"id":144,"by":145,"text":146},"7940602","zheshishei","I changed the primary sort to the count, then filtered on just \"Fan Go\". Then, I wanted to compare the total amount Fan Go had raised in comparison to other companies, so I…",{"value":148,"source":90,"evidence":149},"Small clickable bars are hard to use",[150],{"id":151,"by":152,"text":153},"7941383","sogen","It's almost impossible to click on Grant, and other. Suggestion: Make the Title a part of the Label area.",[155,159,163,170],{"value":156,"source":90,"evidence":157},"Custom SQL queries and CSV or other data source imports",[158],{"id":97,"by":98,"text":99},{"value":160,"source":90,"evidence":161},"Time-series with switchable time resolution and trailing averages",[162],{"id":97,"by":98,"text":99},{"value":164,"source":90,"evidence":165},"Median instead of outlier filtering",[166],{"id":167,"by":168,"text":169},"7942240","pnachbaur","You could use median instead of filtering out outliers explicitly so your averages don't get skewed.",{"value":171,"source":90,"evidence":172},"Show currency units on labels",[173],{"id":174,"by":175,"text":176},"7942791","unwind","Very nice! I missed the currency symbol ($) in the labels, I felt that I wasn't sure sometimes if I was seeing a \"count\" of something, or a measure of currency. Perhaps it's all…",[178,186,193],{"value":179,"source":90,"evidence":180},"Where the data comes from",[181,182],{"id":116,"by":117,"text":118},{"id":183,"by":184,"text":185},"7940394","akavi","What's the data source? Is it the rapid increase in total raised from 2012 - 2014 (even without Freakish_outlier) a data artifact or has the amount of funding actually exploded?",{"value":187,"source":90,"evidence":188},"Why Dropbox is counted as Dublin-based",[189],{"id":190,"by":191,"text":192},"7940604","fancyremarker","Anyone know why Dropbox is considered a Dublin-based company? Shouldn't their SF office be considered the main HQ?",{"value":194,"source":90,"evidence":195},"Unlabeled region between Atlanta and Seattle",[196],{"id":197,"by":198,"text":199},"7940130","stock_toaster","Under \"Region\" (with raised_total), what is the region between Atlanta and Seattle with no label?",[201],{"value":202,"source":90,"evidence":203},"Crunchbase",[204,205],{"id":64,"by":11,"text":65},{"id":128,"by":129,"text":130},{"comments":207,"answered":208,"key":209},9,4,[210,211,214],{"id":53,"text":54},{"id":212,"text":213},"7940172","its just data that wasn't provided :(",{"id":215,"text":216},"7940612","Right now we only support CSVs they get served directly from blob storage to the browser (without going through our webserver). We obviously want to expand on those options, but…",{"commenters":218,"max_depth":42,"maker_replies":207,"first_comment_mins":208,"lifespan_hours":219},26,13,[221,223,225,227,229,231,233,236,237,239,240,242,245,248,251,252,253,255,259,260,261,262,266,267,271,274,278,281,284,285,287,289,291,293,296,298],[53,40,40,222,11,34],"project\u002Fneutral\u002Fnone",[197,40,32,224,198,40],"project\u002Fneutral\u002Fdesign",[212,40,40,226,11,34],"maker\u002Fneutral\u002Fnone",[97,40,42,228,98,40],"project\u002Fpositive\u002Fidea",[215,40,40,230,11,34],"project\u002Fneutral\u002Fexecution",[144,40,34,232,145,40],"project\u002Fcritical\u002Fexecution",[234,40,40,235,11,34],"7940787","maker\u002Fneutral\u002Fexecution",[167,40,32,230,168,40],[82,40,40,238,11,34],"maker\u002Fneutral\u002Fperformance",[174,40,32,224,175,40],[190,34,40,241,191,40],"other\u002Fneutral\u002Fnone",[243,34,40,241,244,40],"7940714","XorNot",[246,34,40,241,247,40],"7940830","PMan74",[249,34,40,241,250,40],"7940834","lukasm",[116,44,34,232,117,40],[64,44,40,230,11,34],[135,44,34,254,125,40],"project\u002Fcritical\u002Fdocs",[256,44,40,257,258,40],"7941032","commenter\u002Fneutral\u002Fdocs","namenotrequired",[138,44,34,254,125,40],[120,44,34,232,121,40],[128,44,34,232,129,40],[263,32,32,264,265,40],"7940556","project\u002Fneutral\u002Fidea","stephenhess",[124,32,34,232,125,40],[268,208,32,269,270,40],"7940312","project\u002Fmixed\u002Fdesign","pgt",[272,208,40,273,11,34],"7940385","maker\u002Fneutral\u002Fdesign",[275,208,40,276,277,40],"7940505","commenter\u002Fneutral\u002Fdesign","angersock",[279,208,40,276,280,40],"7940749","toomuchtodo",[282,208,40,276,283,40],"7940451","colmvp",[183,42,32,230,184,40],[286,42,40,235,11,34],"7940469",[151,33,34,288,152,40],"project\u002Fcritical\u002Fdesign",[290,33,40,273,11,34],"7941732",[104,292,32,222,105,40],7,[294,292,40,241,295,40],"7940941","minimaxir",[108,292,42,297,109,40],"project\u002Fpositive\u002Fnone",[93,35,42,299,94,40],"project\u002Fpositive\u002Fdesign",[],[302,307,312,317,322,326],{"id":303,"name":304,"points":305,"category":306},"7937258","Fast.js",323,"languages",{"id":308,"name":309,"points":310,"category":311},"7926005","Scholar Ninja",98,"learning_science",{"id":313,"name":314,"points":315,"category":316},"7944540","Hashcash",89,"security_privacy",{"id":318,"name":319,"points":320,"category":321},"7937476","Checkr.io",79,"web_saas",{"id":323,"name":324,"points":325,"category":321},"7917408","BillForward",73,{"id":327,"name":328,"points":329,"category":20},"7931659","SeeYourVisitors",69,false,"v2",{"id":333,"name":5,"line":6,"ai":330,"cat":20,"year":13,"points":14,"comments":15,"rec":29,"s":334,"top":18,"kw":335,"maker":11,"domain":10,"tier":19,"attempts":40,"strip":336,"url":9,"mix":337,"praise":89,"objection":113,"sub":21},7940030,-0.17,[24,25,26,27,28],"030501030300001010111313000030103055",[32,33,34,35],1793990906916]