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投资TALK君 engagement report

@TJ_Research - 97K followers on X

Measured over 49 original posts from a 30-day window, last computed on September 21, 2026.

Engagement

Middle of its size range
Per follower
0.33%
of 97K followers
Per impression
0.765%
40K views on a typical post
Reach
43.2%
of its followers see a post
Typical post
308
interactions (median)
Saved
0.04%
16 bookmarks on a typical post
Posting rate
3.5/day
active 43% of days
Peak time
16:00 UTC
Monday

A typical post picks up 308 interactions against 97K followers, an engagement rate of 0.33%. Measured over 49 original posts, its engagement rate beats 73% of 14,930 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 40K times each, and 0.765% of those impressions turn into an interaction. That is about 41.4% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.5 posts a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 16:00 UTC, and Monday is the busiest day of the week. Of the 49 posts sampled, 27% carry an image or video, 20% are part of a thread and 6% link out. The account's strongest tracked post pulled 5.6K interactions, about 18x its own typical post. Recurring topics include #cowos, #emib.

Measured over 49 original posts from a 30-day window, last computed on September 21, 2026. Recurring tags: #cowos, #emib.

Compared with accounts its own size

投资TALK君's engagement rate beats 73% of the tracked X accounts closest to it in follower count (14,930 accounts, accounts of similar size (decile 6 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 34% 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 0.33%, 投资TALK君 sits above the 50th percentile of the 151,319 accounts in this comparison. That places it in the above the median band, which runs 0.126% to 0.6%.

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 16:00 UTC, and Monday 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: 16:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 111%Busiest hour: 16:00 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: Monday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 111%Busiest day: Monday
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 video27% of posts+111%+108% to +115%34K
Outbound link6% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 27% 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.
  • 6% 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 181 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

  • Sep 13, 202618x their median

    JUST IN: Sam Altman says AI leaders including Elon Musk, Dario Amodei, Mark Zuckerberg and Sundar Pichai will eventually meet to discuss slowing down AIJ

    4.7K399271171487K viewsView on X
  • Sep 21, 20268.4x their median

    Googlebook is officially here! I’ve been so excited to share the details with the world. Today, many of us rely heavily on laptops to get work done, but we think there is an opportunity to rethink the category to address the needs of people today. So we brought the best of ChromeOS and Android to create a new platform for laptops. Our initial focus with Googlebook is to deliver an amazing laptop that feels awesome for Android phone users. Here’s what to know about Googlebook 🧵👇

    2.2K17411699765K viewsView on X
  • Sep 21, 20263.3x their median

    时间久了你们会发现啥指标都不如市场参与度的模糊正确,懂的点赞👇

    9591151255K viewsView on X
  • Aug 25, 20263.3x their median

    JUST IN: Jim Cramer says Nvidia is "not" coming in hot so far

    871318032160K viewsView on X
  • Sep 19, 20262.6x their median

    CPUs are probably going to start disappearing soon just like GPUs have If you want to buy a computer, probably best to buy it soon

    720423419186K viewsView on X
  • Sep 17, 20262.1x their median

    今天为你们鞠躬尽瘁了,赶紧去点赞,今天的标题都很有诗意:“走入沃什的内心世界!”😂

    581070130K viewsView on X
  • Sep 13, 20262.0x their median

    很多人在担心周一AI的相关股是不是要跌。 我不知道会不会跌, 但如果DARIO是认真的,AI已经牛逼到1年内要把人类毁灭了,那市场跌什么? 你是信DARIO会放缓资本开支和模型训练,让其他的闭源追上来?还是说他和SAM突然信上帝了,为人类未来着想了? 我真期待市场周一开盘后信不信这些鬼话

    48515102290K viewsView on X
  • Aug 21, 20261.8x their median

    美股存储硬件最好时,币商开始转型美股,赚麻了,以SpaceX上市为情绪面顶点,把场内资金全部吸引到存储,马上一波7月份的回撤。现在8月份比特币却开始拉了,最终永赢的是交易所。我希望转型来美股的除了比特币真的别再回去了,美股绝对是一个更好稳定赚钱的地方。 我坚持的一个原则之一是人多的地方不去,不抬轿子,宁可错过也不追涨

    44211110363K viewsView on X
  • Aug 7, 20261.8x their median

    Cloudflare的财报确实带出了一个非常大的话题:AI时代的知识付费 财报会议里:“非人类访问量已经超过人类”。假设我是纽约时报,现在我的盈利模式是吸引人们来看,网站上打广告。文章还是那篇文章,但现在文章的阅读量从以前100%人类阅读到了超过50%的阅读来自智能体,同时总阅读量几何倍数增长。那么内容本身就可以收费,这也是为什么模型公司和这些出版社都有版权纠纷的问题。 如果你认同这个趋势,那接下去会看到智能体访问这些网站时智能体直接为知识付费,费用可以是0.001美元/次,对纽约时报来说打开了新的内容变现手段又不被白嫖。 Cloudflare推出了钱包,用来服务这些内容创造者,因为是极小额的费用,只可能用稳定币去实现。其实一个月前,亚马逊已经推出了类似的项目,如果你的网站以后被机器人白嫖,被网军冲,你可以问他们收钱! 因为AI的出现,对内容的消耗是以前的几何倍数,同样的一篇seeking alpha文章可能被调用1万次,10万次。这就是未来的智能体经济。 提供平台的公司: $net $amzn 掌握内容: $rddt , $tri 支付轨道: $coin , $crcl 对 $Meta 来说,他们既掌握了内容,也有自己的模型,在这里反而形成了闭环,内容收费是会增加模型成本的,当然最终是消费者买单。说得简单点,现在我让OpenAI做一家公司的研报,背后内容的成本可能是0,未来内容源开始收费以后,研报的成本可能就是1刀了。 Exciting time!

    4514046564K viewsView on X
  • Sep 18, 20261.7x their median

    过去一周我们经历了: 1. 上周末AI放缓的恐慌 2. 清晰法案过山车,最后失败 3. 美联储会议 4. 日本加息 5. 三巫日 最后,所有资产回报: 标普-0.1% 纳指+0.7% 黄金+0.7% IGV+2.8% BTC+4.9% 芯片+1.1% RSP-1.2% 板块轮动比较明显,科技股,半导体很强,其他板块很弱,所以参与度很低。最难的9月份RSP跌了3%以上,标普-0.5%,感觉经历了那么多,指数站在原地,如果追涨杀跌,认为市场短期是对的,会很惨。周末愉快,今天没视频,周日见了

    454767563K 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.

Recurring topics

#cowos#emib

The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.

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Reading these numbers

A typical post picks up 308 interactions against 97K followers, an engagement rate of 0.33%. Measured over 49 original posts, its engagement rate beats 73% of 14,930 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 40K times each, and 0.765% of those impressions turn into an interaction. That is about 41.4% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.5 posts a day over the last 30 days, though only 43% of days saw any activity at all. Most posts go out around 16:00 UTC, and Monday is the busiest day of the week. Of the 49 posts sampled, 27% carry an image or video, 20% are part of a thread and 6% link out. The account's strongest tracked post pulled 5.6K interactions, about 18x its own typical post. Recurring topics include #cowos, #emib.

What is 投资TALK君's engagement rate on X?
投资TALK君 (@TJ_Research) has an engagement rate of 0.33%, based on the median interactions across 49 original posts from the last 30 days against 97,362 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.33%, 投资TALK君 sits above the 50th 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 @TJ_Research have real engagement?
Its engagement rate beats 73% of the tracked X accounts closest to it in follower count (14,930 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 @TJ_Research post?
Most posts go out around 16:00 UTC, and Monday is its busiest day, at roughly 3.5 posts per day across the measured window.

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