{"id":"e4073c481093","page":"/c/e4073c481093/","topic":"Meta Internal Coding Bench","publisher":"Meta","official":true,"platform":"X","publishedAt":"2026-07-09T14:10:40.000Z","model":"Muse Spark","form":"bar","metrics":{"views":23396,"likes":166,"reposts":9,"quotes":6,"replies":9,"saves":14},"readAt":"2026-10-12T21:30:08.589Z","chartsInPost":1,"score":43,"scoreWeights":{"views":0.4,"likes":0.3,"eng":0.15,"save":0.15},"quadrant":"loved","ranks":{"score":{"industry":{"n":718,"of":1162},"company":{"n":20,"of":31}},"views":{"industry":{"n":686,"of":1162},"company":{"n":18,"of":31}},"likes":{"industry":{"n":687,"of":1162},"company":{"n":17,"of":31}},"eng":{"industry":{"n":487,"of":1162},"company":{"n":16,"of":31}},"save":{"industry":{"n":722,"of":1162},"company":{"n":22,"of":31}}},"percentiles":{"industry":{"views":0.4100688468158348,"likes":0.4092082616179002,"eng":0.5813253012048193,"save":0.3790877796901893},"company":{"views":0.43548387096774194,"likes":0.46774193548387094,"eng":0.5,"save":0.3064516129032258}},"peers":{"industry":1162,"company":31,"companyName":"Meta"},"medians":{"industry":{"views":39945,"likes":289,"eng":0.007331788144862199,"save":0.0007642791742968587},"company":{"views":36361,"likes":191,"eng":0.008121046332706446,"save":0.0008518547200495625},"form":{"n":241,"views":25600,"eng":0.007940930621342993}},"ratios":{"vsCompanyViews":0.6434366491570639,"vsCompanyLikes":0.8691099476439791,"viewsPerFollower":0.02703602183589796,"viewsPerDay":245.48505184724615},"followers":865364,"reads":[{"at":"2026-10-12T15:08:15.438Z","views":23396,"likes":166,"reposts":9,"quotes":6,"replies":9,"saves":14,"source":"x-search-cache"}],"chartData":"/api/charts/e4073c481093.json","copy":{"en":{"why":[{"factor":"views-per-follower","text":"Views per follower sit at 0.027, 0.13x the median of 0.20, placing this post in the 17th percentile."},{"factor":"launch-day","text":"Launch-day rank was #2 of 4 posts from Meta that day, with views level at 23.4K."},{"factor":"reach-vs-company","text":"Views of 23.4K are 0.64x Meta's median of 36.4K, ranking #18 of 31 Meta posts."}],"verdict":"Small but loved quadrant, score rank #718 of 1,162 AI chart posts.","news":{"headline":"Meta's Internal Coding Bench chart scores low reach","dek":"A bar chart from Meta on July 9, 2026, showing Internal Coding Bench scores.","what":"Meta posted a bar chart on July 9, 2026, showing Internal Coding Bench scores for 5 models. It was one of 4 posts that day, with 3 others.","numbers":"Views: 23.4K, likes: 166, engagement rate: 0.81%, save rate: 0.060%, views per day: 245. Score: 43, rank #718 of 1,162.","lesson":"Readers saved this bar chart at 0.060%, a rate below the median for all AI chart posts. A clean table is what people keep to cite.","implication":"This post ranks #20 of 31 Meta posts, below the account's median views of 36.4K. It shows a gap to the all-AI median of 39.9K."}},"zh":{"why":[{"factor":"views-per-follower","text":"单帖浏览量2.3万，仅为已知粉丝数帖子中位数0.20的0.13倍，处于第17百分位。"},{"factor":"launch-day","text":"发布当天4条帖子中排第2，浏览量未领先当日其他内容。"},{"factor":"reach-vs-company","text":"浏览量低于Meta中位数3.6万，为0.64倍，在31条中排第18。"}],"verdict":"范围小但受欢迎，在1162条AI图表帖中排第718。","news":{"headline":"Meta内部编码基准图浏览量偏低","dek":"单帖2.3万浏览量，低于中位数4万。","what":"Meta发布1张柱状图，展示5个模型的内部编码基准得分，当天另有3条帖子。","numbers":"浏览量2.3万，在1162条AI图表帖中排第686，低于中位数4万。","lesson":"浏览量低于公司中位数3.6万，为0.64倍，但互动率0.81%不低于中位数。","implication":"在Meta的31条帖子中排第18，低于自身中位数，但互动率尚可，属于窄而稳。"}},"lane":"amd/DeepSeek-V4-Flash","checkedAt":"2026-10-13T21:11:01.355Z"}}