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詹姆斯叉 | James_X engagement report

@james_x - 46K followers on X

Measured over 31 original posts from a 30-day window, last computed on October 26, 2026.

Engagement

Middle of its size range
Per follower
0.061%
of 46K followers
Per impression
0.477%
5.9K views on a typical post
Reach
12.8%
of its followers see a post
Typical post
28
interactions (median)
Saved
0.034%
2 bookmarks on a typical post
Posting rate
2.27/day
active 40% of days
Peak time
04:00 UTC
Friday

A typical post picks up 28 interactions against 46K followers, an engagement rate of 0.061%. Measured over 31 original posts, its engagement rate beats 28% of 21,625 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 5.9K times each, and 0.477% of those impressions turn into an interaction. That is about 12.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.3 posts a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 04:00 UTC, and Friday is the busiest day of the week. Of the 31 posts sampled, 68% carry an image or video, 10% are part of a thread and 29% link out. The account's strongest tracked post pulled 868 interactions, about 31x its own typical post.

Measured over 31 original posts from a 30-day window, last computed on October 26, 2026.

Compared with accounts its own size

詹姆斯叉 | James_X's engagement rate beats 28% of the tracked X accounts closest to it in follower count (21,625 accounts, accounts of similar size (decile 4 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.

On engagement per impression rather than per follower it beats 15% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.

Where this sits in the catalog

At 0.061%, 詹姆斯叉 | James_X sits above the 25th percentile of the 217,635 accounts in this comparison. That places it in the below the median band, which runs 0.025% to 0.148%.

p100.004%
p250.025%
p50 (median)0.148%
p750.704%
p902.63%
p9982.4%
Engagement rate as a share of followers, across the 217,635 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 21,696 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.004%
25th percentile0.025%
50th percentile0.148%
75th percentile0.704%
90th percentile2.63%
99th percentile82.4%

This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built

Posting timing

This account posts most often around 04:00 UTC, and Friday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 04:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 04:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%89K
01:00 UTC-2%90K
02:00 UTC-3%88K
03:00 UTC-4%94K
04:00 UTC-5%76K
05:00 UTC-4%75K
06:00 UTC-5%86K
07:00 UTC-5%93K
08:00 UTC-4%108K
09:00 UTC-4%124K
10:00 UTC-3%129K
11:00 UTC-3%141K
12:00 UTC-3%154K
13:00 UTC-3%167K
14:00 UTC-4%173K
15:00 UTC-2%176K
16:00 UTC-3%171K
17:00 UTC-3%159K
18:00 UTC-2%149K
19:00 UTC-2%141K
20:00 UTC-1%131K
21:00 UTC0%116K
22:00 UTC-2%100K
23:00 UTC-1%90K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Friday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Friday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+5%393K
Monday+1%483K
Tuesday-2%520K
Wednesday-3%472K
Thursday-2%430K
Friday-3%447K
Saturday+2%393K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Formats this account uses

Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.

This account's posting mix compared with catalog-wide effects
FormatThis accountCatalog effect95% intervalAccounts behind it
Image or video68% of posts+111%+108% to +115%34K
Outbound link29% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 68% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
  • 29% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
  • Its average post runs 249 characters, which falls in the 180 - 280 characters band. Across the catalog, posts of 180 to 280 characters match the same accounts' other posts almost exactly.

These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.

Best tweets

  • Oct 23, 202631x their median

    Just 2 days later, @kimchi1x removed @Pumpfun from his bio. Interestingly, over those 2 days, Pumpfun's revenue dropped 16% from $1.61M to $1.35M, while active addresses fell 11% from 178,539 to 159,492. Meanwhile, @kimchi1x may have received 1.35B $PUMP ($6.25M) in marketing fees. https://t.co/Yp8qifjt9d

    6414712654198K viewsView on X
  • Oct 23, 202630x their median

    聊天记录吗,那不得不信了 兄弟们看看就好,不要外传 https://t.co/QxA4tbcTLf

    254175713360K viewsView on X
  • Oct 22, 202620x their median

    争议之外,我认为最好的进化方式 下半场。 · 意外的是,上期播出不到1周的时间全网播放1亿次,投资与AI圈刷屏。很多人留言:“孙哥见人说人话,见鬼说鬼话。”但孙宇晨也的确是首次公开认真回应个人投资仓位、市场判断等被大家关注的问题。 · 之前我们团队坐下来与金明沟通,为何要做《黄金时代》?他是中国企业家投资人里唯一现役国家队世界冠军运动员——两次打破世界纪录,打破了33年开赛以来欧美对自由潜世界纪录的垄断;27岁完成包括阿里巴巴在内的10亿融资,特斯拉IPO华人长期持仓股东回报5900% —— 他每天工作时间14个小时,兼顾国家队比赛,我们甚至抓不到他的时间。 · 后来我们知道,因为这些年遇到一些朋友很困惑:不知道如何赚钱,如何把身体变好,是选择继续读书、还是出国、回国、抑或是该做什么。 · 于是有了想做一个帮助这些人去探寻答案的内容,带着他们的问题去找合适的人回答—— 哪怕要找的人是全球top1%的领袖、首富、运动员、科学家。 · 所以这一次哪怕是风口浪尖的人,金明继续把问题往深里推: ▪️孙宇晨如何把“三巨头”巴菲特的风控、马斯克的科技叙事、特朗普的传播能力,融合成自己的人生打法。 ▪️首次正面回应情感纠纷公开化背后的真实逻辑。 ▪️最新启动的数据驱动的饮食、训练与体脂管理,对赌2027年10月9日前把体脂打到18%-,并公开承诺验收。 · 《黄金时代》金明对谈孙宇晨下半程,在上集投资仓位与市场判断的基础上,看活人如何进化。 对未来,我们不预设立场,只点亮启发。 · 这一次,我们也想把问题交给你。 · 工作、成长、财富、关系,或者其他你一直想不明白的事,我们会根据问题,去邀请这1%里最可能启发你的人。 #黄金时代 #金明对话 #孙宇晨 #投资逻辑 #AI决策 #传奇永不止步

    412674132263K viewsView on X
  • Oct 21, 202618x their median

    个人助理在国内是不可能成功的,超市、银行、信用卡、航空里程。。。任何一个领域都不会给你开放接口。AI 属于美国人😭 https://t.co/qUoeClMYsw

    355101152058K viewsView on X
  • Oct 19, 20267.3x their median

    行情差到什么程度 目前了解到的真实情况 几个同时上了币安现货+币安合约的币都开始卖壳了 还都是和币安关系比较密切的项目 这次币圈何去何从?

    99495598K viewsView on X
  • Sep 27, 20267.3x their median

    做了一个个人加密项目信息追踪工具,叫 Signal,已经开源,大家可以下载到自己的电脑上使用。(把github链接扔给agent就行) 做它的原因很简单。关注一个项目,消息往往散在官方账号、团队成员的推文和 KOL 的讨论里。看完这些,还得切到行情页面,确认价格和持仓量有没有变化。 Signal 把这些入口放进了一个按项目整理的中文阅读器。添加关注项目后,可以查看官方资讯、关联的团队账号,以及检索到的近期讨论者。内容优先显示中文,也能随时切回原文核对。 首页会整理上次访问后的未读更新,同一事件的相关报道放进时间线,方便跟进后续。项目页面还带有 K 线,可以设置价格、OI 和均线突破提醒。EMA 200/360 上穿支持选择 1 小时、4 小时或日线,按收盘确认。 工具运行在自己的电脑上,关注列表和阅读记录保存在本地。准备 Python 和自己的 @newsliquidX API Token(最低每月2U就行),按仓库里的中文教程就能开始,不需要购买服务器。只使用阅读器,也不用安装 AI 助手或 skills。源码免费开源,数据接口可能产生费用。 目前是 Beta 版本,欢迎先拿几个自己关注的项目试用,遇到问题可以到 GitHub 提 Issue,记得去掉 Token 等私人信息。 github链接放评论区了

    1522423435K viewsView on X
  • Oct 16, 20267.2x their median

    经济下行的影响 连渣男兄弟都搞得这么会过日子了 https://t.co/A0l5rSaspz

    182316058K viewsView on X
  • Oct 22, 20265.6x their median

    双十一最实际的健康好物购买清单(附了tb/pdd 链接) 趁着双十一,把大家日常可能用到的,也切切实实对大家健康有帮助的一些补剂、产品、服务按成本从低到高给大家排了一下,都是我自己会去选择购买的,文中附的这个购买链接也基本是同品类里性价比最高的。有可能有一些疏漏,欢迎大家留言指正。 先从每月的开销说起。 1. 一水肌酸,每月约5~30元 肌酸帮助肌肉在力量训练、冲刺这类短时间高强度运动中供能。配合持续力量训练,有助于提升力量和增加瘦体重,普通一水肌酸就够用。 成人常见的维持量是每天3~5克,每月消耗约90~150克,常见产品的月成本大致在15~80元,性价比高的基础款每月小几十元就够。 pdd/tb 链接: https://t.co/V4CNarXWrV 2. 鱼油,也就是常见的Omega-3补充剂,每月十几元到几十元的选择就有 鱼油提供EPA和DHA,帮助很少吃鱼的人补充这类脂肪酸。Omega-3有降低甘油三酯的作用。 鱼油和Omega-3不用买两份,鱼油本身就是EPA、DHA的一种来源。 挑鱼油要看EPA和DHA加起来有多少。瓶子上写着每粒1000毫克鱼油,里面的EPA和DHA可能合计只有300毫克,光比较胶囊大小或瓶子价格,容易买错。 基础款日常补充的月成本通常是十几元到几十元,高浓度产品可能更贵。具体需要补多少,要看饮食和健康情况,不能承诺吃了就能预防心梗或延寿。 pdd/tb 链接: https://t.co/gqeJMm8Fzu 3. 维生素D,约20~50元一盒 维生素D帮助身体吸收钙,维持骨骼和肌肉的正常功能。缺乏时补足,有助于避免缺乏引起的骨软化、肌无力。 普通产品大致20~50元一盒。 pdd/tb 链接: https://t.co/B8P3j3zcrj 4. 钙片,约30~100元一瓶 对身体的帮助:钙是构成骨骼和牙齿的重要材料,也参与肌肉收缩和神经信号传递。饮食摄入不足时,用钙片补上缺口,有助于维持骨骼健康。 选购时比较元素钙含量。碳酸钙的总重量,不能直接当作钙的重量。也要留意复合片里是否已经含了维生素D或镁,别把几瓶叠在一起吃。 常见产品大致30~100元一瓶,月成本取决于包装规格,以及每天需要补上多少钙。 5. 锌和镁 对身体的帮助:锌参与正常免疫功能、伤口愈合和味觉维持。镁参与能量代谢,帮助神经和肌肉正常工作。缺镁时补足,有助于改善由缺乏引起的无力、肌肉痉挛等问题。 锌镁补充剂的月成本大致几十元到一百多元。 6. 家附近或通勤路上的健身房,普通场馆约30~300元一个月 对身体的帮助:规律做有氧和力量训练,可以增强心肺耐力、肌肉力量,帮助控制体脂,降低心血管病和2型糖尿病风险,也有助于改善睡眠和情绪。 健身卡这一项,我最看重距离。 离家近、离办公室近,或者就在每天上下班经过的路上,都值得考虑。如果每次去之前还要专门坐车、绕一大圈,办卡时的热情很容易被路上的麻烦消耗掉。 普通场馆大致每月30~300元,高一些的场馆可能要300~1000元,具体看城市和服务。 7. 蛋白粉,每月约200~320元 乳清蛋白提供肌肉修复和合成所需的氨基酸,方便补足每天的蛋白质。配合力量训练和足够的总蛋白摄入,有助于增肌,也能在减脂期间帮助减少肌肉流失。 以ON金标乳清蛋白粉为例,2.27公斤装大致500~800元一桶。每天喝30克粉,一个月消耗约900克,一桶大约能喝两个半月,折合每月约200~320元。如果每天只需要补15克粉,月成本也相应减半。 pdd/tb 链接: https://t.co/RV4lqEyc27 8. 鱼跃动态血糖监测仪,每月约300元 对身体的帮助:连续记录葡萄糖变化,可以帮助发现单次测量容易错过的餐后升高、夜间偏低等趋势,为了解饮食、运动与血糖的关系提供信息。它本身不降血糖,价值在于辅助监测和后续管理。比较推荐有血糖指标在正常值偏高范围以及有家族糖尿病史的人群佩戴,做好预防糖尿病的意识。 鱼跃安耐糖5Pro一枚大致150元,单枚最长使用16天。连续佩戴一个月,大约需要两枚,月成本约300元,具体随渠道和活动浮动。 pdd/tb 链接: https://t.co/16QZAMkp0g 接下来是日常使用的装备和设备。 9. 眼罩,20~100元 对身体的帮助:眼罩减少环境光对睡眠的干扰。对卧室漏光、白天补觉或出差时容易被光影响的人,遮光有助于创造更容易入睡、保持睡眠的环境,投入也低。 挑的时候看鼻梁附近是否漏光、松紧能不能调整,戴着会不会压眼球。舒服到能整晚戴住,比多几个功能更有用。如果房间本来就足够暗,也不用为了凑清单再买一个。 10. 智能体重秤(能连app自动记录),50~150元 对身体的帮助:体重秤帮助看清体重的长期变化,判断目前的饮食和活动安排有没有朝目标推进。它提供管理体重的反馈,减脂效果仍来自实际的饮食和运动调整。 家用基础款大致50~150元,一台读数稳定、记录方便的秤就够实用。 尽量在相近条件下称重,看一段时间的趋势,不必因为某一天多了一点就立刻调整饮食。带体脂功能的型号也可以选,只是那个数字属于估算,别把小数点后的变化都当成脂肪真的增减了。 pdd/tb 链接: https://t.co/jOgUvUc2gS 11. 筋膜枪,100~500元 筋膜枪可以作为短时放松的工具,小型研究也观察到使用后关节活动范围增加。 pdd/tb 链接: https://t.co/UGgmNEXpdq 12. 电动牙刷,100~400元 电动牙刷帮助清除牙菌斑、减少牙龈炎症。 家用基础款大致100~400元。买的时候顺便看替换刷头的价格,刷头是长期耗材,一般每三个月左右更换,磨损明显时应提前换。 13. 智能健康穿戴设备,基础手环200~400元起 对身体的帮助:这类设备把运动、睡眠和心率等记录集中起来,帮助发现活动不足、作息不规律,给安排运动与休息提供参考。根据记录去多走动、规律睡觉,才可能带来实际的健康收益。 基础智能手环 大致200~400元,一次购买。如果主要想记录步数、运动和睡眠,买个小米手环这类基础款就够用了。 Apple Watch 大致2000~6000元,一次购买,适合使用iPhone、希望兼顾运动记录和日常智能功能的人。高、低心率通知还能提示需要留意的变化,必要时带着记录就医,具体功能要看型号和地区。 WHOOP 主要按会员订阅付费,一年大致1500~2600元,折合每月约120~220元,跨境购买可能另有税费和运费。它更适合已经规律训练、愿意持续回看睡眠和恢复记录的人,选购时要把长期订阅费用算进去。 14. 人体工学椅,300~3000元 对身体的帮助:合适并且调节到位的椅子,能为腰背、手臂和腿部提供支撑,减少姿势别扭、局部受压带来的不适和疲劳。对于每天坐着工作很久的人,坐得舒服一些就是实际的改善。 椅子解决的是坐着时的适配和舒适问题,工作中仍然要起身活动。三百到三千元的预算跨度很大,按体型和使用习惯选,不需要默认买最贵的。 15. 国产主动冷热控温垫,大致9000元上下(8 Sleep 国产平替) 这类设备最大的帮助就是通过传感器和科学数据,主动地调节床垫的温度,帮助用户更快入睡以及提升整体的睡眠质量。最知名的就是国外的8 Sleep。国行价格大概在2万到3万人民币左右。最近市场上也出现了一些国产的平替的产品,大致可以按9000元上下。 pdd/tb 链接: https://t.co/9bSCttqclL

    133211122K viewsView on X
  • Oct 23, 20262.3x their median

    7×24 不间断,bStocks 抵押品估值更进一步🚀 自 10 月 24 日 08:00(UTC+8)起,bStocks 抵押品指数价格将实现 7×24 动态更新,周末及节假日也能持续提供更连续的价格参考。 查看完整公告👇 https://t.co/6K1W1QTxxi https://t.co/HQU1sCI43k

    33424322K viewsView on X
  • Oct 25, 20262.1x their median

    最近薪资 500U 招管培生的帖子在圈子里争议比较大 其实更有意思的背景是 Moledao 的创始人就是币圈非常知名的前 Bybit COO、联席 CEO, Helen 老板,在进入币圈前曾任 微软亚太区 HRD 她培养管培生的能力大家也都是比较认可的。上一位带出来的管培生,大部分朋友也都认识,也就是两年即成为 Bybit 全球营销负责人的 Claudia。 只不过现在做的项目—— Moledao 。一个定位"Web3 人才网络"、想做"区块链版 LinkedIn"的平台,自己却招“管培生”开 500U/月。 有点让大家摸不着头脑了。

    34022321K viewsView on X

Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.

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Reading these numbers

A typical post picks up 28 interactions against 46K followers, an engagement rate of 0.061%. Measured over 31 original posts, its engagement rate beats 28% of 21,625 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 5.9K times each, and 0.477% of those impressions turn into an interaction. That is about 12.8% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.3 posts a day over the last 30 days, though only 40% of days saw any activity at all. Most posts go out around 04:00 UTC, and Friday is the busiest day of the week. Of the 31 posts sampled, 68% carry an image or video, 10% are part of a thread and 29% link out. The account's strongest tracked post pulled 868 interactions, about 31x its own typical post.

What is 詹姆斯叉 | James_X's engagement rate on X?
詹姆斯叉 | James_X (@james_x) has an engagement rate of 0.061%, based on the median interactions across 31 original posts from the last 30 days against 45,982 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.061%, 詹姆斯叉 | James_X sits above the 25th percentile of the 217,635 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
Does @james_x have real engagement?
Its engagement rate beats 28% of the tracked X accounts closest to it in follower count (21,625 accounts), which puts it in the middle of its size range group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
When does @james_x post?
Most posts go out around 04:00 UTC, and Friday is its busiest day, at roughly 2.27 posts per day across the measured window.

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