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AYi engagement report

@AYi_AInotes - 76K followers on X

Measured over 7 original posts from a 30-day window, last computed on September 20, 2026.

Engagement

Per follower
0.411%
of 76K followers
Per impression
0.204%
134K views on a typical post
Reach
201.2%
of its followers see a post
Typical post
274
interactions (median)
Saved
0.363%
486 bookmarks on a typical post
Posting rate
2.1/day
active 20% of days
Peak time
13:00 UTC
Thursday

Early reading. We have captured 7 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 274 interactions against 76K followers, an engagement rate of 0.411%. Posts are seen about 134K times each, and 0.204% of those impressions turn into an interaction. That is about 175.4% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.1 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 13:00 UTC, and Thursday is the busiest day of the week. Of the 7 posts sampled, 71% carry an image or video, 29% are part of a thread and 43% link out. The account's strongest tracked post pulled 4.8K interactions, about 18x its own typical post. Only 7 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 7 original posts from a 30-day window, last computed on September 20, 2026.

Where this sits in the catalog

At 0.411%, AYi sits above the 50th percentile of the 212,925 accounts in this comparison. That places it in the above the median band, which runs 0.146% to 0.698%.

p100.004%
p250.025%
p50 (median)0.146%
p750.698%
p902.61%
p9983.0%
Engagement rate as a share of followers, across the 212,925 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,436 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 percentile0.146%
75th percentile0.698%
90th percentile2.61%
99th percentile83.0%

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 13:00 UTC, and Thursday 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: 13:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 13:00 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: Thursday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Thursday
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 video71% of posts+111%+108% to +115%34K
Outbound link43% of posts-41%-42% to -40%32K
Typical length-+15%+14% to +16%32K
  • 71% 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.
  • 43% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts, so a large share of this account's output sits in the weakest bucket we measure.
  • Its average post runs 377 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

  • Sep 18, 202618x their median

    清华大学和无问芯穹等团队刚刚开源了一篇注定载入史册的重磅论文(已收录于 ICLR 2026,代码已开源): 他们彻底打破了所有多智能体(Multi-Agent)系统的底层范式—— 大型语言模型之间,从今天起可以彻底不通过人类文字进行直接交流了! 这项被称为 C2C(Cache-to-Cache,缓存到缓存)的技术, 开篇就指出了全网 Agent 协同里最愚蠢、也最昂贵的一个死穴: 为什么两个跑在同一台服务器里的超级 AI,交流时非要像人类一样, 把脑子里极其丰富的高维思考,硬生生压缩成一个个英文或中文单词打给对方看? 现有多 Agent 协同的痛苦,做过工程的人都懂: 模型 A 思考完,必须经历极其漫长、吃显存带宽的逐字解码(Decode),慢吞吞吐出一大堆文字; 模型 B 拿到这堆文字,再重新过一遍分词和前缀计算。 这一来一回,不仅丢失了海量微观的语义细节,更造成了毁灭级的延迟和 Token 账单! 清华团队这次做了一件极其惊艳的体系化反叛——C2C 脑电波直连: 1️⃣ 彻底消灭中间文本,直接做“思维投影”: 模型 A 算完后,根本不生成任何文字, 系统直接用一个轻量级神经网络(Neural Fuser),把模型 A 的注意力记忆(KV-Cache)通过高维空间旋转和对齐,直接嫁接、融进模型 B 的 KV-Cache 脑内! 这相当于人类交流跳过了声带和耳朵,直接把我的记忆切片瞬间印进你的大脑; 2️⃣ 可学习的智能门控(Gate 机制): 不同模型的网络层数和结构各不相同,直接硬灌肯定会神经错乱。 论文设计了一套精妙的可学习门控: 大模型会自己动态感知,精确挑选哪些关键层吸收外部缓存的增益最高,哪一层该保持独立思考,毫秒级自适应配平; 3️⃣ 极其残暴的工业基准成绩: • 彻底消灭中间所有的文本解码等待,推理速度直接飙升 2.0 到 2.5 倍; • 综合问答准确率比单模型最高暴涨 14.2%; • 最狠的是:它的表现比传统用文字互相聊天的 Agent 团队,还要高出整整 5%! 因为在直接的语义融合下,原本会被文字丢弃的逻辑细微特征,全部被完整保真保留了。 这篇论文最刺痛人的一层哲学启示在于: 人类一直自豪地以为,自然语言是这个星球上传递智慧最完美的介质; 但在机器与机器的交互世界里,人类语言不过是一道充满歧义、极其拥挤的低速单行道。 当两个模型不再需要通过文字向对方妥协, 它们正在绕过人类的喉咙, 在冰冷的显存带宽之间,编织出一座全人类根本听不见、却快得不可思议的超高速无声神经网络。

    3.6K63054384361K viewsView on X
  • Sep 17, 202613x their median

    Full Jev Tutorial What it is, how you can build with it and what new applications it can unlock → 0:00 Intro → 0:34 Jev explained → 4:06 API setup → 5:59 Demo 1: Voice-controlled browser → 11:33 Demo 2: AI memory → 17:27 Demo 3: YouTube predictor https://t.co/V7iK3jZTLZ

    3.0K3475542246K viewsView on X
  • Sep 17, 20268.7x their median

    Introducing the new https://t.co/BK5Gu2elio, an agentic canvas for building bold ideas. Never start from scratch. Import any website or webapp to the canvas, iterate, and push back to code. Update or download today. https://t.co/KmSAjdcMH6

    2.1K11711838411K viewsView on X
  • Sep 19, 2026

    🎉😮我的天!这篇是我用公开资料整理的学习笔记,自己先把它搞明白,也分享出来,供大家一起学习、共勉✊ https://t.co/kYzs3WGuJt

    2154478100K viewsView on X
  • Sep 19, 2026

    科技史上最戏剧化的一幕, 在短短七天之内彻底演完了。 七天前, @AnthropicAI 首席执行官 @DarioAmodei Amodei 刚刚公开发表了一篇长达 3800 字的万言书, 苦口婆心地大声呼吁全行业必须为了人类安全放慢高阶 AI 的进化速度。 七天后, 随着路透社爆出内部重磅消息, 他们已经在紧急研判提前掏出全新 Claude 模型, 目的只有一个, 正面迎击 OpenAI 刚刚打响的攻势。 把这两件事放在一起看, 很多人会觉得这是人设崩塌, 但只要翻开背后的财务账本, 你就会发现这完全是必然的物理反应。 真正打在痛处的是数据层面的失守。 @OpenAI 在九月初发布 GPT-6 Astra 之后, 攻势凶悍得出乎所有人意料。 不仅在第三方开发者路由平台上, 时隔整整两年半第一次在日均消耗上把 Anthropic 从榜首拽了下来, 甚至在企业实际支出大盘里, Astra 用两周时间切走了超过 13% 的份额, 直接压过了 Claude 核心版本的 8%。 更要命的绳索在资本市场,华尔街目前针对 Anthropic 最快在 11 月展开的首次公开募股, 讨论的目标估值已经逼近极为惊人的 2 万亿美元, 甚至有望拉起高达 1000 亿美元的融资规模。 在逼近两万亿的上市倒计时面前, 没有人敢带着市场份额下滑的财报走进路演现场。 最耐人寻味的是两家公司的角色互换。 高举安全大旗的团队在资本倒逼下不得不连夜提速备战, 而原本被外界扣上激进商业化帽子的 OpenAI, 却早早宣布今年为了安全放弃上市。 安全在技术商业里从来不是锁在保险柜里的恒常信仰, 而是你在跑赢对手时才有底气踩上一脚的刹车。 一旦刺刀见红, 换弹夹的速度永远比刹车片管用。 面对这两家巨头的近身肉搏, 大家觉得 Anthropic 仓促迎战的新模型能守住它在开发者圈子里的统治地位吗? 我先说, 如果代码生成和多模态指令遵循拿不出绝对代差, 仅靠安全标签很难在二级市场撑起两万亿的神话。 路透社爆料的核心细节以及两家在企业大盘上的最新支出博弈, 我全部整理在评论区一楼了。

    16922262134K viewsView on X
  • Sep 18, 2026

    刚做体检, 肛门指检的医生太粗暴了, 喵的那种被爆菊的感觉我要用一生去治愈 https://t.co/JAjrPY7M2R

    2204004.5K viewsView on X
  • Sep 17, 2026

    https://t.co/AQb5QSAyHz

    50114.0K 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 274 interactions against 76K followers, an engagement rate of 0.411%. Posts are seen about 134K times each, and 0.204% of those impressions turn into an interaction. That is about 175.4% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 2.1 posts a day over the last 30 days, though only 20% of days saw any activity at all. Most posts go out around 13:00 UTC, and Thursday is the busiest day of the week. Of the 7 posts sampled, 71% carry an image or video, 29% are part of a thread and 43% link out. The account's strongest tracked post pulled 4.8K interactions, about 18x its own typical post. Only 7 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 AYi's engagement rate on X?
AYi (@AYi_AInotes) has an engagement rate of 0.411%, based on the median interactions across 7 original posts from the last 30 days against 76,410 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.411%, AYi sits above the 50th percentile of the 212,925 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 @AYi_AInotes have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @AYi_AInotes post?
Most posts go out around 13:00 UTC, and Thursday is its busiest day, at roughly 2.1 posts per day across the measured window.

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