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加密小师妹|Monica engagement report

@Monica_xiaoM - 149K followers on X

Measured over 5 original posts from a 30-day window, last computed on September 25, 2026.

Engagement

Per follower
0.082%
of 149K followers
Per impression
1.64%
7.4K views on a typical post
Reach
4.99%
of its followers see a post
Typical post
122
interactions (median)
Saved
0.027%
2 bookmarks on a typical post
Posting rate
0.37/day
active 27% of days
Peak time
08:00 UTC
Wednesday

Early reading. We have captured 5 original posts for this account, below the 8 we require before treating a median as settled. The numbers above describe what we have seen so far, not a finished profile of the account.

A typical post picks up 122 interactions against 149K followers, an engagement rate of 0.082%. Posts are seen about 7.4K times each, and 1.64% of those impressions turn into an interaction. That is about 4.98% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.37 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 08:00 UTC, and Wednesday is the busiest day of the week. Of the 5 posts sampled, 100% carry an image or video, 20% are part of a thread and 20% link out. The account's strongest tracked post pulled 1.4K interactions, about 11x its own typical post. Only 5 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

Measured over 5 original posts from a 30-day window, last computed on September 25, 2026.

Where this sits in the catalog

At 0.082%, 加密小师妹|Monica sits above the 25th percentile of the 151,319 accounts in this comparison. That places it in the below the median band, which runs 0.021% to 0.126%.

p100.003%
p250.021%
p50 (median)0.126%
p750.6%
p902.30%
p9984.3%
Engagement rate as a share of followers, across the 151,319 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 27,202 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 percentile0.003%
25th percentile0.021%
50th percentile0.126%
75th percentile0.6%
90th percentile2.30%
99th percentile84.3%

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 08:00 UTC, and Wednesday 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: 08:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 08:00 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: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Wednesday
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 video100% of posts+111%+108% to +115%34K
Outbound link20% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 100% 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.
  • 20% 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 574 characters, which falls in the over 280 characters band. Across the catalog, posts over 280 characters run 15% above the same accounts' other posts.

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

  • Aug 18, 202611x their median

    来放福利啦,文末抽一份 $ALIGN 代币空投~ 说实话,我的时间线上已经很久没人聊以太坊了。市场没有太多关于 ETH 的新叙事,连我自己都记不清上次付主网 gas 是什么时候。 但最近整理数据时,有一组数字跟这个体感对不上: 全球稳定币供应量,接近 50% 在以太坊上,仍居各链第一;链上 RWA 规模超过 330 亿美元,以太坊主网占比第一,光 BlackRock 的 BUIDL 一只基金就 24 亿。 更有意思的是,把价格和链上数据放在一起看:ETH 这些年并没有走出让人兴奋的行情,但稳定币供应量和链上 RWA 规模却一路增长。 这至少说明一件事:进入以太坊的资金里,有相当一部分目的并不是投机,而是使用。它不需要 ETH 涨,它需要把稳定币、美债、股票放上来之后账不会错、监管问起来说得清。散户觉得以太坊无聊的这两年,恰好是机构往里搬业务最凶的两年。 那机构为什么现在才动?过去这条路有两道坎。 第一,公共 L2 住不进去:blockspace 是共享的,一个支付系统不能因为隔壁 NFT mint 爆火就让用户转账排队;规则不是你定的,合规上没法交代。所以我们可以看到最近机构发链,更多会选择拿以太坊系技术栈发自己的专属链。 第二,自己发链有一笔没人分摊的账。金融结算等不起 7 天挑战期,只能走 ZK rollup,而 ZK rollup 每批交易都要生成 proof 提交回以太坊 L1 验证。L1 原生验证又慢又贵,每个proof单独在L1验证都会消耗大量gas,你单独一条链,每批 proof 都独自付全额。我叫它“验证税”:发链是一次性的,验证税是终身的。 @alignedlayer 收的就是这张账单。 它做的是一套一键式技术栈,让 fintech 一次集成就能上以太坊发产品。整个栈里我最关注已经在主网跑的那块:Proof Aggregation Service,今年 1 月上线 Mainnet Alpha。它可以将多个 proof 批量聚合后再上链验证,从而显著降低验证成本,目前已经与 Ethrex 完全集成。 关键在规模经济:自建链的验证税永远全额,挂在聚合层上,接的链越多每条摊得越薄。Aligned 服务的不是某一条链,而是所有 Rollup 共同面对的验证成本问题。等到更多专属链出现,Proof Aggregation 的规模效应才会逐渐体现出来。 再看一下栈里其他积木:Wallet-as-a-Service 的 MVP 已于 3 月上线,Google 或 Face ID 登录,不用助记词、不用插件、不用付 gas,拿到的是一个真正的以太坊钱包——官方的说法是,用户不需要知道自己正在用 crypto;RaaS 开发中,由 Ethrex 提供支持,项目可以发专属链、用自己的 gas token,不跟任何人抢 blockspace;zkVM 叫 LambdaVM,由 3MI Labs 和 LambdaClass 共同构建,给链上每笔交易生成执行证明,安全性直接继承以太坊,不需要信任任何第三方。 那么我们散户有什么机会呢,最直接的一层:$ALIGN 还没 TGE。ERC-20,总量固定 100 亿,初始流通约 16%,时间官方未定。相比猜开盘价,我更关注它在 TGE 前已经跑出了什么:Proof Aggregation Service 已上线主网,proof 聚合量和接入进展都有迹可循。等代币进入流通,这些才是判断估值能否站住的基本面。 注册过 Genesis 或玩过 ZK Arcade 的老玩家,可以去官方 checker(https://t.co/eTMGnZLRDW)确认额度。其他人也建议用自己的钱包查一下是否符合资格;如果没有额度也不用遗憾,更不要相信任何“补登记”的话术。 再往前看一层:分配表里生态占 18%,Future Provisions 占 16.61%,加起来超过三分之一的筹码,官方还没说怎么用。这类项目 TGE 前后通常是动作最密集的窗口,跟住 @alignedlayer 的官方渠道,比事后从二手消息里捡信息强得多。 最后一层不光关系这个项目本身:机构上链是条 B2B 暗线,散户情绪指标完全捕捉不到。看结算数据、不看币价,这个方法比任何单个项目都值钱。 以太坊不缺安全性,缺的是一套让机构能直接落地业务的工具链。Aligned 想做的,就是这一层。NFA,DYOR。 项目方送出了一份代币空投,关注 @alignedlayer ,点赞推文,留下EVM地址,一天后开奖~

    432322610424K viewsView on X
  • Apr 29, 202611x their median

    $AI powers Gensyn April 29 https://t.co/5QwRMzesxx

    907136157155242K viewsView on X
  • Nov 28, 20257.0x their median

    干货篇-大陆用户如何使用上谷歌最强IDE - Google Antigravity 无需专业复杂的提示词,大白话提需求就可以一键生成网站做游戏,自动写代码的同时做设计,免费调用Gemini3 pro,这就是谷歌最新一代 AI 原生开发环境Antigravity 废话不多说,先展示效果:5分钟生成一个疯狂动物城主题的横版过关游戏,全程用自然语言和AI交流,不用写一条代码,需求提得越细节完成度越高。 不过,目前的痛点是大陆用户现在登入困难: 网络环境和账号权限受限 经过我两天的摸索学习,这篇内容直接分享给大家解决方法 首先 Antigravity 是桌面应用,其登录流量(OAuth 授权)需要全局代理,而非仅浏览器代理。在你的代理软件(如 Clash、V2Ray、Clash for Windows)中,找到“TUN 模式”或“虚拟网卡模式”并启用。 并且要确保自己配置了一个纯净美区 IP,单独使用静态住宅IP网速可能受限,可以在推上找找教程,配合机场节点部署一套链式代理。 然后是账号地区限制,在 https://t.co/SZOum8B3Wh 查看你google账号的关联地区,在 https://t.co/OEtQf1FDng 可以申请修改账号当前的国家或地区版本。 改地区需要等谷歌审核,实测审核通过后能登陆成功。可以找海外朋友申请或者直接买一个海外地区账号。自己注册的话,手机端Gmail 申请可以先跳过手机号和邮箱验证,不过目前反馈是新账号需要沉淀几天才有权限,并且过程中很容易判定为中国地区。 正常来说,干净的网络环境+有权限的谷歌账号就能登入使用Antigravity了,不过也会存在一些特殊情况,这里我总结几种常见问题和解决办法: ❶授权成功但不跳转,可能原因:浏览器/缓存问题 清浏览器缓存,或重装 Antigravity。Windows 用户确保安装在 C: 盘。 ❷无限转圈,可能原因:服务器过载或率限 等 5 小时(免费版刷新周期),或升级 Google AI Pro(更高限额)。检查 Antigravity 状态页 有无维护。 ❸Mac/Windows 特定卡住,可能原因:系统权限/缓存 Mac: 删除 ~/Library/Application Support/Antigravity/Cache 文件夹。Windows: 以管理员运行。 #Gemini #AI

    508792575114K viewsView on X
  • May 31, 20265.1x their median

    ⚽️来了!OKX 预测市场,6月3日即将启幕。 作为全球被预测最多的赛事之一。每届世界杯,几十亿人的脑子都在算:谁赢、谁进球、谁会爆冷…… 我们从来不缺判断,只缺一个能上场的地方。 OKX 预测市场将以“世界杯”为首发主题。有观点,就上场!跟 OKX,见证下一个球王。 https://t.co/sPEax2DcL9

    20131279114457K viewsView on X
  • Apr 29, 20263.0x their median

    Halfway there. From May 24th 12:00am GMT, all StandX Trader, Maker & Holder point emissions will drop to 50% of current levels. The summit is in sight. https://t.co/7AbqoshvuR

    178248776125K viewsView on X
  • Apr 26, 20252.4x their median

    https://t.co/MubIZdCcHa

    1945836383K viewsView on X
  • Jun 1, 20262.2x their median

    Something big is coming as promised. The silhouette says it all: $NXT listing on a leading exchange and the next huge IP collaboration are both on the way! Is this the moment you’ve been waiting for? Stay very close. The #NEXST wave is about to hit! https://t.co/UATR9VLPif

    77146271780K viewsView on X
  • Jun 2, 20262.0x their median

    $ZETA HAS EVOLVED. After four years of building cross-chain infrastructure, we decided to test ZetaChain’s interoperability thesis: Could assets and chains extend beyond, into intelligence itself? memory. context. identity. agents that move with the user. We were proven right. @AnumaAI crossed 60,000 users in its first month. Private, user-owned AI is not just a feature. It is the start of the next major consumer layer. Here's how: Private memory layer for AI 🧵 (1/6)

    132643915222K viewsView on X
  • May 11, 20262.0x their median

    每次当你对市场失去信心的时候,会发现突然冒出一个人因为你根本没听过的东西赚了百倍千倍——这就是区块链带来的魅力,也是我们这个行业的独有特性。 多少人是被这种致富神话带进来这个圈子的? 比如最近重新被市场发现的 Uniswap v4。 v4 今年年初就上线了,但一开始吸引的关注度有限。它改的不是界面,不是手续费。 而是一件很底层的事: 以前你在 Uniswap 换币,换完就结束了。现在换币这个动作,可以同时触发任何人写的代码。 这个"任何人写的代码",官方叫 Hooks(钩子)。可以理解成 Uniswap 从一个换币工具,变成了一个可以往里面装插件的平台。 爆火三个项目,玩法完全不同,简单拆解下背后的原理逻辑。 ❶ $sato 靠的是"没有人能控制它"的公平发射信仰, ❷ $uPEG 靠的是一个 8 年前被 Vitalik 一句话否掉的名字加上链上生成图片的新奇感 ❸ Slonks 靠的是扭曲版 CryptoPunks 加销毁升级的 NFT 老玩家情结。 但它们能跑起来,用的是同一套底层逻辑: 在 v4 里,换币这个动作可以触发任意代码。不同的人往这个口子里塞了不同的故事。这就是市场真正在捧的东西。 Hooks 足够开放,以至于 DeFi 极客、NFT 玩家、memecoin 猎手,可以同时在里面找到属于自己的叙事。 多个圈子的注意力汇聚到同一个底层协议上,有点 Defi Summer 初期那种味道。 有一面不能忽视——Hooks 是完全开放的,任何人都能写,也意味着可能有人写恶意代码:异常高的手续费、锁死流动性、进得去出不来。 不过还是要重点注意: ① 陌生池子不要乱进,只用有可信来源的 Hooks 项目 ② 不要轻易 FOMO 热搜顶部的项目 sato / uPEG / Slonks 的故事说明 v4 能跑出东西,它们本身的空间,我不替你判断。 如果对这个叙事还有兴趣,可以盯一盯 https://t.co/9U13eIFJNN,或者自己手动做一些监控。

    1431189212K viewsView on X
  • May 20, 20261.8x their median

    3000元,一个人,十天,中专生 全网爆火的AI短片《丧尸清道夫》,被好莱坞顶级制片人投来了橄榄枝。 现在的AI已经进化到越来越难分辨人类剪辑师和AI的区别了,我尝试用Codex做了一个样片。 40段原始素材交给AI剪辑,5分钟搞定字幕、特效、转场,全程不需要我做任何操作! 你能分辨的清和真人剪辑的区别吗? 感兴趣的小伙伴们点赞,下期我发超详细的视频教学,包教包会!

    1083108124K 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 122 interactions against 149K followers, an engagement rate of 0.082%. Posts are seen about 7.4K times each, and 1.64% of those impressions turn into an interaction. That is about 4.98% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.37 posts a day over the last 30 days, though only 27% of days saw any activity at all. Most posts go out around 08:00 UTC, and Wednesday is the busiest day of the week. Of the 5 posts sampled, 100% carry an image or video, 20% are part of a thread and 20% link out. The account's strongest tracked post pulled 1.4K interactions, about 11x its own typical post. Only 5 original posts have been captured so far, fewer than the 8 posts we want behind a median before treating it as settled. Read the figures above as an early measurement of this account, not as a finished profile of it.

What is 加密小师妹|Monica's engagement rate on X?
加密小师妹|Monica (@Monica_xiaoM) has an engagement rate of 0.082%, based on the median interactions across 5 original posts from the last 30 days against 148,854 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.082%, 加密小师妹|Monica sits above the 25th percentile of the 151,319 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 @Monica_xiaoM have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @Monica_xiaoM post?
Most posts go out around 08:00 UTC, and Wednesday is its busiest day, at roughly 0.37 posts per day across the measured window.

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