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lidang 立党 (劝人卖房/学CS/买SP500/纳100/OpenAI/Anthrop第一人) engagement report

@lidangzzz - 1.6M followers on X

Measured over 347 original posts from a 30-day window, last computed on October 25, 2026.

Engagement

Per follower
0.018%
of 1.6M followers
Per impression
0.33%
86K views on a typical post
Reach
5.31%
of its followers see a post
Typical post
282
interactions (median)
Saved
0.055%
47 bookmarks on a typical post
Posting rate
18.77/day
active 103% of days
Peak time
04:00 UTC
Friday

A typical post picks up 282 interactions against 1.6M followers, an engagement rate of 0.018%. Posts are seen about 86K times each, and 0.33% of those impressions turn into an interaction. That is about 5.31% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 18.8 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 04:00 UTC, and Friday is the busiest day of the week. Of the 347 posts sampled, 39% carry an image or video, 9% are part of a thread and 9% link out. The account's strongest tracked post pulled 21K interactions, about 75x its own typical post. Recurring topics include #nobelprize, #nodejs, #security.

Measured over 347 original posts from a 30-day window, last computed on October 25, 2026. Recurring tags: #nobelprize, #nodejs, #security.

Where this sits in the catalog

At 0.018%, lidang 立党 (劝人卖房/学CS/买SP500/纳100/OpenAI/Anthrop第一人) sits above the 10th percentile of the 204,313 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%
p750.677%
p902.55%
p9982.4%
Engagement rate as a share of followers, across the 204,313 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 22,878 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 percentile0.677%
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 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 video39% of posts+111%+108% to +115%34K
Outbound link9% of posts-41%-42% to -40%32K
Typical length-no effect-2% to -1%42K
  • 39% 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.
  • 9% 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 247 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

  • Aug 25, 202675x their median

    Hello again, world! Hacker News has been pretty quiet on X. Time to fix that. Starting today, we'll be sharing interesting things people are building, discovering, and discussing on HN. And let us know what's caught your eye lately. There's always room for another great link!

    20K5616711532.4M viewsView on X
  • Oct 21, 202658x their median

    🔐 Node.js security updates are now available! New releases for Node.js 22.x, 24.x & 26.x address multiple vulnerabilities, including high-severity issues. Review the details and update your systems to stay secure. 🔗 https://t.co/W4kfzx5lxz #NodeJS #Security

    13K3.0K1324981.2M viewsView on X
  • Oct 14, 202646x their median

    中国のみなさんに質問です。 日本人は三国志マニアがたくさんいて、私も大好きなのですが、日本にいる中国人に話をふっても話が盛り上がった事がないです。 中国では三国志は人気ないのですか?

    11K6411.1K1995.0M viewsView on X
  • Oct 6, 202625x their median

    对了,在youtube还有一类非常匪夷所思的起号方法,中国人可能不知道。 就是去深圳、上海、杭州、成都、重庆这种城市,连续开4个小时的车,从白天开到晚上,车上架一个高清的摄像机,把4个小时的视频饱和度拉满,直接传到youtube上面去。 很多人是真喜欢看这种视频,4个小时里面给你youtube自动插播 20多个广告,你就能持续稳定挣钱了。 还有那种贵州云南湖南的山区景区,还有西藏那种冰天雪地的大雪山,很多人也爱看。

    6.2K415513171.5M viewsView on X
  • Oct 5, 202619x their median

    中国人的年龄焦虑有多严重? 王虹 35 岁拿菲尔兹奖 被称为大器晚成

    5.1K6232817441K viewsView on X
  • Oct 23, 202619x their median

    我国当代网民的情绪bybike https://t.co/FG4dSVg04w

    4.9K454962640K viewsView on X
  • Sep 6, 202619x their median

    Built a Bakusou Kyoudai Let’s & Go!! game with GPT-6 Astra—one of my childhood favorites animate. Astra Pro’s first browser build blew past my expectations, so I pulled it locally and kept polishing with Astra High. stack: Three.js playable: https://t.co/EIlZn0GCze post: https://t.co/XXAxzYYFIC

    4.4K81779132609K viewsView on X
  • Aug 15, 202616x their median

    离婚登记处设在美国就行了,这样大家直接都去不了

    4.0K395827251K viewsView on X
  • Aug 21, 202616x their median

    一个视频,教你分辨阳光开朗的苹果人,和压抑痛苦的安卓人。 这个视频太精妙了,向你证明苹果人和安卓人已经完全是两个物种了。 https://t.co/K2Z0jZWYz2

    3.6K31852526492K viewsView on X
  • Oct 22, 202615x their median

    乐死我了,还有续集🤣 https://t.co/S4UdFUxCZl

    4.0K292522876K 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

#nobelprize#nodejs#security#数据

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 282 interactions against 1.6M followers, an engagement rate of 0.018%. Posts are seen about 86K times each, and 0.33% of those impressions turn into an interaction. That is about 5.31% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 18.8 posts a day over the last 30 days, with activity on almost every day in the window. Most posts go out around 04:00 UTC, and Friday is the busiest day of the week. Of the 347 posts sampled, 39% carry an image or video, 9% are part of a thread and 9% link out. The account's strongest tracked post pulled 21K interactions, about 75x its own typical post. Recurring topics include #nobelprize, #nodejs, #security.

What is lidang 立党 (劝人卖房/学CS/买SP500/纳100/OpenAI/Anthrop第一人)'s engagement rate on X?
lidang 立党 (劝人卖房/学CS/买SP500/纳100/OpenAI/Anthrop第一人) (@lidangzzz) has an engagement rate of 0.018%, based on the median interactions across 347 original posts from the last 30 days against 1,611,731 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.018%, lidang 立党 (劝人卖房/学CS/买SP500/纳100/OpenAI/Anthrop第一人) sits above the 10th percentile of the 204,313 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 @lidangzzz have real engagement?
There is not yet enough sample to rank this account against others of its size.
When does @lidangzzz post?
Most posts go out around 04:00 UTC, and Friday is its busiest day, at roughly 18.77 posts per day across the measured window.

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