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Charlie🎭 ChainThink engagement report

@Charlie_OnChain - 153K followers on X

Measured over 6 original posts from a 30-day window, last computed on September 23, 2026.

Engagement

Per follower
0.01%
of 153K followers
Per impression
0.858%
1.8K views on a typical post
Reach
1.15%
of its followers see a post
Typical post
16
interactions (median)
Saved
0%
0 bookmarks on a typical post
Posting rate
0.33/day
active 17% of days
Peak time
01:00 UTC
Friday

Early reading. We have captured 6 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 16 interactions against 153K followers, an engagement rate of 0.01%. Posts are seen about 1.8K times each, and 0.858% of those impressions turn into an interaction. That is about 1.18% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.33 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 01:00 UTC, and Friday is the busiest day of the week. Of the 6 posts sampled, 50% carry an image or video and 17% are part of a thread. The account's strongest tracked post pulled 902 interactions, about 56x its own typical post. Only 6 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 6 original posts from a 30-day window, last computed on September 23, 2026.

Where this sits in the catalog

At 0.01%, Charlie🎭 ChainThink sits above the 10th percentile of the 205,475 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.

p100.004%
p250.024%
p50 (median)0.143%
p750.678%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 205,475 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,893 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 percentile0.024%
50th percentile0.143%
75th percentile0.678%
90th percentile2.55%
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 01:00 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: 01:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 01:00 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 video50% of posts+111%+108% to +115%34K
Outbound link0% of posts-41%-42% to -40%32K
Typical length--3%-3% to -2%54K
  • 50% 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.
  • 0% 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 100 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% below 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

  • May 28, 202656x their median

    昨天,加密行业发生了一件前所未有、也令人心情复杂的事情。 过去,当一家 CEX 出现负面消息时,用户至少还有一个最基本的权利——他们可以自由地把自己的资产转移到其他平台。 但这一次,很多用户突然发现: 他们不是不能离开 HTX, 而是“无处可去”。 由于 HTX 被卷入英国方面的一项制裁争议,部分第三方风控与安全系统,对所有与 HTX 存在资金往来的地址进行了大范围、无差别的风险标记。 很多用户只是正常地进行充提、交易,却因此被限制资金流动、限制交易,甚至出现了仅仅因为向 HTX 充值,就导致其在原平台账户资产被冻结的极端情况。 如此大规模、无差别地将普通用户卷入风控之中,在整个行业历史上,都是极其罕见的。 而最令人难受的是: 现在,HTX 平台本身一切正常。 交易正常、充提正常、OTC 正常,我们甚至一直在努力维持 OTC 的稳定价格,保障用户能够顺利提现。 但“不正常”的,反而变成了用户。 这是一个非常荒诞、也非常值得整个行业关注的现象。 因为这件事真正受到冲击的,不只是 HTX。 而是整个加密行业最珍贵的东西: 用户的信任。 这些用户并不只属于 HTX。 他们也在 Binance、OKX、Bybit、Coinbase,甚至更多平台交易。 他们属于整个行业。 如果一家平台出现问题,正常的逻辑应该是针对平台本身采取措施,而不是让普通用户承担外溢代价,更不应该让用户在毫不知情的情况下,被整个行业“集体误伤”。 目前,HTX 的充提功能依然正常。 用户虽然无法顺利转入部分交易所,但仍然可以提币到链上。 但说实话: 如果最终,所有用户都只能选择把资金提到链上,或者通过 OTC 离场, 那将不是 HTX 的失败,而是整个 CEX 行业信任体系的失败。 因为这意味着: 用户开始相信,任何一家中心化交易所,都可能在某一天失去“互通性”。 对于已经身处寒冬、极度缺乏信心的加密行业来说,这无疑是一次沉重打击。 说一句并不想说的话: 币圈可以没有 HTX, 但绝不能失去用户对整个行业的信心。 在这里,我们也郑重声明: HTX 始终积极拥抱合规,并愿意配合所有相关方进行审查与沟通,推动误会尽快解除。 我们理解每一家交易所都必须遵守合规要求。 但与此同时,我们也希望行业能够共同保护用户,而不是让普通用户成为系统误判的代价。 因此,我们向所有行业伙伴发出两个真诚的呼吁: 1、希望各交易所能够共同向第三方安全与风控平台反馈当前用户所面临的问题 包括: 被误标记 资金流动受限 正常交易受影响 账户被冻结等情况 并通过数据化反馈,推动相关机构尽快修复问题,同时进一步完善行业风控机制,避免类似事件再次发生。 ⸻ 2、希望各交易所能够尽快优化针对 HTX 用户的风控逻辑 对于来自 HTX、但行为正常、资金来源清晰的用户,希望能够建立更加精准、更加合理的审核机制,保障普通用户的资金安全与正常流动。 在这一过程中,HTX 也一定会全力配合。 ⸻ 最后,我们也想对所有依然相信 HTX、资产仍留在 HTX 的用户说一句: 谢谢你们。 请放心,HTX 不会跑路。 我们不会逃避,也不会消失。 我们会一直站在这里, 直到所有问题真正解决为止。

    42173298110181K viewsView on X
  • Aug 28, 20264.1x their median

    我蚌埠住了 https://t.co/I5PexOsayk

    006601.8K viewsView on X
  • Feb 10, 20264.0x their median

    听说嗯哼 @EnHeng456 发了个币,原来是这个币🧐 新年快乐兄弟,状态在线,判断更稳,节奏更好,赚更多赚的钱,也少踩不必要的坑 https://t.co/1lJriHZpq6

    29152007.8K viewsView on X
  • Aug 28, 20262.0x their median

    想问下景甜有多少身家,5个亿肯定没有吧? 小红书这些百分比战士觉得她一年能赚3000万? https://t.co/CJWjI5DHdn

    302906.9K viewsView on X
  • Sep 15, 20261.8x their median

    年初web3社群拉多了,微信被封了3个月 现在手机号似乎被标记了,给安卓手机朋友打电话、安卓手机朋友给我打电话,都会显示防诈视频,真牛逼

    502302.0K viewsView on X
  • Feb 27, 2026

    📢 招AI实习生 × 2位(内容/运营方向) 你来干嘛: → 基于真实业务需求,探索AI在内容创作、运营、自动化中的应用场景 → 测试、调教、组合各种AI工具,找到最优工作流 → 把探索成果沉淀成可复用的方法论 硬性要求: • 已安装并使用过 OpenClaw(没装的先装,这是门槛) • 实习6个月以上 • 深圳线下坐班 我们提供: 🖥 设备全配(电脑、API额度、工具订阅) 📄 正规实习合同 💰 探索奖金:你摸索出的任何工具、方法、工作流,一旦被公司正式采用,单独发奖金上不封顶 不看学历,不看专业。看你有没有折腾AI的热情,和把事情做成的执行力。 直接DM我附上简历

    30301.6K viewsView on X
  • Feb 11, 2026

    企业微信群总人数马上突破2万了,第70个群也刚刚建好,运营说过年期间新建的10个群全部拉满200人 加上其他微信群,5个月时间社群总人数接近3万 https://t.co/mNASdOzygL

    50101.9K viewsView on X
  • Apr 23, 2026

    研究了好几个中转站方案,终于搞明白了 首先Token不可能凭空产生,比如Claude 200u/月的账号,每5个小时总量就那么多,用完就只能等刷新 而中转站是在和用户对赌/博弈,购买100个账号给1万个人,赌1万人消耗的Token在额度限制内,那么就赚钱 但是!但凡有一人大量使用,就会造成其他人无法使用(即不稳定),此时除了等待5小时刷新,或者就中转站加账号(200u/个) 最后,大B端能赚钱的逻辑,在于组建号池稳定提供给大客户,就算溢价卖(220u/月),也比大B端自己去购买Claude的API便宜

    4010651 viewsView on X
  • May 8, 2026

    这次违规有点严重了,对不起我错了 https://t.co/eVMGFHJ3WO

    3010460 viewsView on X
  • May 5, 2026

    最近主要在做两件事:ChainThink,以及 ThinkAI News ChainThink 继续做 Web3 信息入口,但我越来越明显地感受到一个变化:Web3 的创业热度在下降,很多媒体最后都在围绕交易所、项目方和行情服务,真正面向创业者、建设者的内容越来越少 而 AI 正好相反 AI 的创业者、工具开发者、内容生产者、独立产品团队,数量可能是 Web3 创业者的 100 倍以上。但现在 AI 内容的聚合效率很差,传统媒体 70% 的注意力都放在大模型公司、大厂发布会和融资新闻上,中小团队、垂直场景、真实应用反而没人系统关注 所以我想做 ThinkAI News 它不是单纯做“AI新闻”,而是想关注几个更底层的问题: 哪些中小 AI 产品真的有机会? 哪些工具正在改变具体工作流? 普通人如何通过 Prompt、Skill、Agent 更高效完成工作? AI 信息差如何从“知道一个工具”变成“真的能用起来”? 我越来越相信,AI 最大的市场不只是模型本身,而是 如何把模型能力转化成每个人的工作能力。 Prompt、Skill、工作流、案例、变现路径,这些才是信息差被真正消除的地方。 ChainThink 继续服务 Web3 世界。 ThinkAI News 则会更多服务正在进入 AI 时代的创业者、创作者和普通工作者。

    3010492 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 16 interactions against 153K followers, an engagement rate of 0.01%. Posts are seen about 1.8K times each, and 0.858% of those impressions turn into an interaction. That is about 1.18% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.33 posts a day over the last 30 days, though only 17% of days saw any activity at all. Most posts go out around 01:00 UTC, and Friday is the busiest day of the week. Of the 6 posts sampled, 50% carry an image or video and 17% are part of a thread. The account's strongest tracked post pulled 902 interactions, about 56x its own typical post. Only 6 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 Charlie🎭 ChainThink's engagement rate on X?
Charlie🎭 ChainThink (@Charlie_OnChain) has an engagement rate of 0.01%, based on the median interactions across 6 original posts from the last 30 days against 153,131 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.01%, Charlie🎭 ChainThink sits above the 10th percentile of the 205,475 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 @Charlie_OnChain have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @Charlie_OnChain post?
Most posts go out around 01:00 UTC, and Friday is its busiest day, at roughly 0.33 posts per day across the measured window.

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