[{"data":1,"prerenderedAt":583},["ShallowReactive",2],{"project-13483865":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":27,"sentiment":28,"stance_mix":29,"scored_comments":33,"aspects":34,"strip":47,"post_text":49,"what":50,"said":96,"maker_in_thread":239,"shape":246,"grid":250,"attempts":546,"same_week":547,"maker_shows":36,"maker_hidden":576,"reader_version":577,"card":578},"13483865","Bitesnap","Deep Learning Meets Food Logging","title","Show HN: Bitesnap – Deep Learning Meets Food Logging","https:\u002F\u002Fgetbitesnap.com","getbitesnap.com","vinayan3",1485366806,2017,174,108,203,2242,10,"notable","consumer_social","food logging","mobile_app",[21,24,25,26],"calorie counter","photo food diary","macro tracking","curious",0.22,{"positive":30,"neutral":31,"mixed":32,"critical":18},26,55,6,97,{"performance":35,"idea":38,"execution":41,"design":44,"pricing":46},{"positive":36,"critical":37},1,3,{"positive":39,"critical":40},14,2,{"positive":42,"critical":43},7,5,{"positive":36,"critical":45},0,{"positive":36,"critical":45},[37,36,48,37,40,43,36,37,43,48,43,48,48,43,43,43,43,43,48,48,37,48,37,37,37,48,43,43,37,37,37,43,40,37,40,37,36,48,36,48],4,null,{"problem":51,"audience":67,"pricing":49,"motivation":78,"time_to_build":49,"stack":85,"openness":94,"stage":95,"team_size":94},{"value":52,"source":53,"evidence":54},"Logging food manually is tedious; photos let users log meals faster","commenter",[55,59,63],{"id":56,"by":57,"text":58},"13484338","JTxt","I took a picture of my finished Styrofoam hot chocolate cup and straw. Hot chocolate was the first guess. It gave an option for \"from mix water added\", done. Very cool. Edit:…",{"id":60,"by":61,"text":62},"13487395","MintsJohn","Looks neat, but at the same time, really cumbersome. Because it looks neat, I'd guess people will try it, because it will be cumbersome, people will abandon it. So like many of…",{"id":64,"by":65,"text":66},"13489025","imranq","I love the idea and the technology and design seems great! However, I found out that I save way more time and am more effective just sticking to a few basic principles of eating…",{"value":68,"source":53,"evidence":69},"People tracking calories, diet or weight, including diabetics",[70,74],{"id":71,"by":72,"text":73},"13486565","BlakePetersen","This is great! As another diabetic, this type of software is HUGE in allowing those of us with dietary restrictions to eat with a bit more freedom, or maybe less anxiety. While…",{"id":75,"by":76,"text":77},"13484943","Swizec","If this has MyFitnessPal integration I'll start using it immediately. Would be great to supplement my tracking when I go out to eat. Your guess is as good as mine, hopefully…",{"value":79,"source":53,"evidence":80},"Apply image recognition to simplify food logging",[81],{"id":82,"by":83,"text":84},"13484302","fsiefken","When I read this: \"We saw an opportunity to apply recent advances in image recognition to simplify the food logging process\" do they mean CNN's for image classification and\u002For…",[86],{"value":87,"source":88,"evidence":89},"Deep learning image recognition","maker",[90,93],{"id":91,"by":11,"text":92},"13484395","> How does it handle differentiating different types of bread, which have differing carbs? We don’t nail everything yet but we allow users to refine the predictions. So in your…",{"id":82,"by":83,"text":84},"unknown","launched",{"praise":97,"objections":125,"requests":146,"questions":196,"alternatives":215},[98,113],{"value":99,"source":53,"evidence":100},"Slick, intuitive interface and onboarding",[101,105,109],{"id":102,"by":103,"text":104},"13485680","wkirby","A few thoughts: - Very slick onboarding experience, especially compared to other calorie counters. Big plus here. - There doesn't appear to be a way to add food outside of the…",{"id":106,"by":107,"text":108},"13501341","wmblaettler","I just logged a couple of meals with it - really like the slick interface - it's very intuitive. One of the main things preventing me from using other services is how clunky \u002F…",{"id":110,"by":111,"text":112},"13488407","AndrewKemendo","I've been using it all day and have the following feedback. 1. I like the design, and it works very cleanly. Nothing appears to be heavy, and the UI is intuitive. 2. It only does…",{"value":114,"source":53,"evidence":115},"Recognition works well on many foods",[116,117,121],{"id":56,"by":57,"text":58},{"id":118,"by":119,"text":120},"13486218","mark_l_watson","Very nice! About 10 years ago I created a cooking web site that also uses the USDA nutrition database (cookingspace.com) and I just recently started working on free iOS and…",{"id":122,"by":123,"text":124},"13484310","aembleton","Awesome, I've just tried it with an Apple and it worked! Can you let me enter my height and weight in metric please as I had to use Google to convert.",[126,133,137],{"value":127,"source":88,"evidence":128},"Portion size and hidden ingredients are not estimated well",[129,130],{"id":91,"by":11,"text":92},{"id":131,"by":11,"text":132},"13485313","Predicting portion size is something we’re actively looking into. One of the reasons for getting Bitesnap out to a larger audience now is to be able to collect more training data…",{"value":134,"source":53,"evidence":135},"Taking photos is slower than picking from a list",[136],{"id":60,"by":61,"text":62},{"value":138,"source":88,"evidence":139},"Only imperial units and US-only availability",[140,143],{"id":141,"by":11,"text":142},"13484213","We’re initially targeting the US market, and it was easiest to get serving data in imperial units to start. We are planning to add sensible serving sizes in metric units as soon…",{"id":144,"by":11,"text":145},"13484431","Thank you for trying the app and the feedback. We will add metric units for entering your details.",[147,152,171,179,189],{"value":148,"source":88,"evidence":149},"Metric units",[150,151],{"id":144,"by":11,"text":145},{"id":141,"by":11,"text":142},{"value":153,"source":53,"evidence":154},"Availability in more countries' app stores",[155,159,163,167],{"id":156,"by":157,"text":158},"13489621","lsinger","Can you make this available on other countries' stores as well? Specifically I'd love to see it on the German iOS AppStore.",{"id":160,"by":161,"text":162},"13485723","evolve2k","App Store telling me the app is not currently available in Australia. I'm guessing there is nothing specifically US centric in the app, any chance of opening up region support…",{"id":164,"by":165,"text":166},"13487550","amingilani","I'd love to switch to using this full time but why isn't available in my country (Pakistan)? I currently use Lifesum to track what I eat.",{"id":168,"by":169,"text":170},"13484398","ClassyJacket","Unavailable in Australia. Weird, because this is the one way of logging food that doesn't differ between countries.",{"value":172,"source":53,"evidence":173},"MyFitnessPal integration or data export\u002FAPI",[174,175],{"id":75,"by":76,"text":77},{"id":176,"by":177,"text":178},"13487702","aaronpk","Is there an API? Can I export my data? I'd be interested in using this if I can get the data out. I've been posting everything I eat and drink to my own website for the past few…",{"value":180,"source":53,"evidence":181},"Barcode scanning and nutrition label OCR",[182,186],{"id":183,"by":184,"text":185},"13485867","bmcooley","Great start for a product. I would imagine everything that's currently in your food database had to be manually chosen due to the availability of training data. It doesn't handle…",{"id":187,"by":107,"text":188},"13485703","Love this for prepared meals and home cooked meals, where you need to analyze the ingredients of a dish. Have you considered adding the ability to recognize a standard FDA…",{"value":190,"source":53,"evidence":191},"Saved meals for one-click logging",[192],{"id":193,"by":194,"text":195},"13486776","aesthetics1","My goodness, I just started trying to use MyFitnessPal to track my food intake and was wishing that something like this existed. Is there a way to save prior entries as meals? I…",[197,204,211],{"value":198,"source":53,"evidence":199},"How does it handle bread types and hidden fats?",[200],{"id":201,"by":202,"text":203},"13483972","jc4p","I found your blog post (the learn more button) but I'd love more info on this if it's available somewhere. How does it handle differentiating different types of bread, which have…",{"value":205,"source":53,"evidence":206},"What training dataset was used?",[207],{"id":208,"by":209,"text":210},"13484068","boxcardavin","Can you describe your training or dataset you used?",{"value":212,"source":53,"evidence":213},"Does it estimate portion size and distance?",[214],{"id":82,"by":83,"text":84},[216,224,228,232],{"value":217,"source":53,"evidence":218},"MyFitnessPal",[219,223],{"id":220,"by":221,"text":222},"13484514","AznHisoka","I wouldn't use this. It's not that I don't think your calorie count might be right for some cases, but it won't get everything right, and when you're trying to lose\u002Fgain weight,…",{"id":193,"by":194,"text":195},{"value":225,"source":53,"evidence":226},"Lose It",[227],{"id":102,"by":103,"text":104},{"value":229,"source":53,"evidence":230},"Lifesum",[231],{"id":164,"by":165,"text":166},{"value":233,"source":53,"evidence":234},"Weight Watchers",[235],{"id":236,"by":237,"text":238},"13485359","ttcbj","Just downloaded it, the app is really elegant. Really nice work. I have used weight watchers in the past, so here are a few thoughts: 1. Its not totally clear to me what the goal…",{"comments":42,"answered":36,"key":240},[241,242,243],{"id":91,"text":92},{"id":131,"text":132},{"id":244,"text":245},"13484510","Thanks for trying the app!",{"commenters":247,"max_depth":32,"maker_replies":42,"first_comment_mins":248,"lifespan_hours":249},68,8,48,[251,253,255,259,260,262,265,268,272,274,277,279,281,282,286,289,292,294,298,299,301,303,304,306,309,313,316,319,320,323,325,328,332,334,338,340,341,345,347,351,354,359,362,364,366,368,371,373,376,379,381,383,387,390,392,394,397,399,401,402,403,407,410,413,416,418,420,423,427,429,431,436,440,443,447,449,452,454,459,461,463,465,469,471,473,477,481,485,487,490,492,494,496,499,501,503,506,508,511,514,516,520,524,528,532,533,538,542],[201,45,37,252,202,45],"project\u002Fneutral\u002Fperformance",[91,45,45,254,11,36],"maker\u002Fneutral\u002Fexecution",[256,45,36,257,258,45],"13485161","project\u002Fcritical\u002Fperformance","danielvinson",[131,45,45,254,11,36],[261,45,36,257,221,45],"13486692",[263,45,37,264,111,45],"13488351","project\u002Fneutral\u002Fidea",[266,45,37,264,267,45],"13488425","m_ke",[269,45,43,270,271,45],"13487419","project\u002Fpositive\u002Fexecution","dluong",[236,36,37,273,237,45],"project\u002Fmixed\u002Fdesign",[275,36,37,276,267,45],"13485763","maker\u002Fneutral\u002Fidea",[183,40,37,278,184,45],"project\u002Fneutral\u002Fexecution",[280,40,37,254,267,45],"13485969",[220,37,36,257,221,45],[283,37,43,284,285,45],"13484664","project\u002Fpositive\u002Fidea","bdotdub",[287,37,43,284,288,45],"13486321","komali2",[290,37,37,276,291,45],"13484707","jonas21",[60,48,36,293,61,45],"project\u002Fcritical\u002Fexecution",[295,48,45,296,297,45],"13489392","commenter\u002Fneutral\u002Fexecution","wingerlang",[193,43,37,264,194,45],[300,43,37,254,267,45],"13486926",[302,43,37,254,291,45],"13487387",[56,32,43,270,57,45],[244,32,45,305,11,36],"maker\u002Fpositive\u002Fnone",[307,42,45,308,11,36],"13485523","maker\u002Fneutral\u002Fnone",[310,248,43,311,312,45],"13488994","project\u002Fpositive\u002Fpricing","troyastorino",[156,314,37,315,157,45],9,"project\u002Fneutral\u002Fnone",[317,314,37,315,318,45],"13490006","jhurliman",[71,18,43,284,72,45],[102,321,37,322,103,45],11,"project\u002Fmixed\u002Fexecution",[324,321,37,254,267,45],"13486210",[326,321,37,327,194,45],"13486881","project\u002Fneutral\u002Fdesign",[329,330,43,284,331,45],"13485098",12,"lostphilosopher",[333,330,37,276,267,45],"13485384",[335,336,43,284,337,45],"13484941",13,"tabeth",[339,336,37,276,267,45],"13486546",[118,39,43,270,119,45],[342,343,43,284,344,45],"13484807",15,"stratospark",[346,343,37,276,267,45],"13488718",[348,349,43,284,350,45],"13487040",16,"michaelsbradley",[352,349,43,353,267,45],"13487989","maker\u002Fpositive\u002Fidea",[355,356,45,357,358,45],"13487774",17,"other\u002Fneutral\u002Fidea","LiweiZ",[106,360,43,361,107,45],18,"project\u002Fpositive\u002Fdesign",[82,363,37,278,83,45],19,[365,363,37,254,267,45],"13484497",[75,367,43,284,76,45],20,[369,367,43,284,370,45],"13485171","christophersu",[372,367,37,254,267,45],"13485186",[374,367,43,284,375,45],"13485231","jaegerpicker",[377,367,43,284,378,45],"13485434","universemaster",[208,380,37,278,209,45],21,[382,380,37,254,267,45],"13484649",[384,385,43,284,386,45],"13485737",22,"kriro",[388,385,37,264,389,45],"13485930","joshvm",[187,391,37,264,107,45],23,[393,391,37,254,267,45],"13485894",[64,395,37,396,65,45],24,"project\u002Fmixed\u002Fidea",[110,398,37,322,111,45],25,[400,398,37,254,267,45],"13488499",[122,30,43,270,123,45],[144,30,45,308,11,36],[404,405,37,278,406,45],"13484010",27,"mrleinad",[408,405,37,278,409,45],"13484120","alptrv",[411,405,37,278,412,45],"13484328","domas",[414,405,37,278,415,45],"13484850","mszcz",[417,405,37,278,378,45],"13485175",[419,405,37,254,291,45],"13484352",[421,422,37,322,123,45],"13486602",28,[424,425,43,270,426,45],"13490974",29,"narutouzumaki",[176,428,37,315,177,45],30,[430,428,37,308,267,45],"13488645",[432,433,43,434,435,45],"13486977",31,"project\u002Fpositive\u002Fperformance","rogermedia",[437,438,37,264,439,45],"13487143",32,"ppas",[441,438,45,442,291,45],"13487420","commenter\u002Fneutral\u002Fnone",[444,445,43,284,446,45],"13484962",33,"muzster",[448,445,37,308,267,45],"13485127",[450,445,43,270,451,45],"13485595","disgruntledphd2",[453,445,37,308,267,45],"13488634",[455,456,36,457,458,45],"13483987",34,"project\u002Fcritical\u002Fidea","overcast",[460,456,45,308,11,36],"13484066",[160,462,37,278,161,45],35,[464,462,37,308,267,45],"13488628",[466,467,37,278,468,45],"13486627",36,"joepour",[470,467,37,308,267,45],"13488127",[472,467,43,305,468,45],"13488371",[474,475,37,264,476,45],"13487389",37,"Jonovono",[478,475,45,479,480,45],"13487412","other\u002Fneutral\u002Fnone","sebleon",[482,483,36,457,484,45],"13488011",38,"partycoder",[164,486,37,278,165,45],39,[488,486,37,278,489,45],"13487574","DecoPerson",[491,486,37,308,267,45],"13488120",[493,486,37,254,291,45],"13487737",[495,486,37,308,267,45],"13488089",[497,486,36,293,498,45],"13489661","Kiro",[168,500,37,278,169,45],40,[502,500,37,254,291,45],"13484472",[504,500,37,322,505,45],"13487029","StreakyCobra",[507,500,37,308,267,45],"13488081",[509,500,36,2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