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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 178 original posts from a 30-day window, last computed on August 30, 2026.

Engagement

Middle of its size range
Per follower
0.019%
of 1.6M followers
Per impression
0.35%
89K views on a typical post
Reach
5.53%
of its followers see a post
Typical post
311
interactions (median)
Saved
0.044%
39 bookmarks on a typical post
Posting rate
9.63/day
active 53% of days
Peak time
02:00 UTC
Sunday

A typical post picks up 311 interactions against 1.6M followers, an engagement rate of 0.019%. Measured over 178 original posts, its engagement rate beats 57% of 3,739 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 89K times each, and 0.35% of those impressions turn into an interaction. That is about 5.53% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 9.6 posts a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 02:00 UTC, and Sunday is the busiest day of the week. Of the 178 posts sampled, 34% carry an image or video, 8% are part of a thread and 8% link out. The account's strongest tracked post pulled 21K interactions, about 68x its own typical post.

Measured over 178 original posts from a 30-day window, last computed on August 30, 2026. Recurring tag: #duckdb.

Compared with accounts its own size

lidang 立党 (劝人卖房/学CS/买SP500/纳100/OpenAI/Anthrop第一人)'s engagement rate beats 57% of the tracked X accounts closest to it in follower count (3,739 accounts, accounts of similar size (decile 10 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 31% 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 0.019%, lidang 立党 (劝人卖房/学CS/买SP500/纳100/OpenAI/Anthrop第一人) sits above the 25th percentile of the 36,134 accounts in this comparison. That places it in the below the median band, which runs 0.012% to 0.08%.

p100.002%
p250.012%
p50 (median)0.08%
p750.431%
p902.11%
p99161.6%
Engagement rate as a share of followers, across the 36,134 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 107,713 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 percentile0.002%
25th percentile0.012%
50th percentile0.08%
75th percentile0.431%
90th percentile2.11%
99th percentile161.6%

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 02:00 UTC, and Sunday 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: 02:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 02:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%50K
01:00 UTC-2%51K
02:00 UTC-4%49K
03:00 UTC-4%53K
04:00 UTC-6%42K
05:00 UTC-4%41K
06:00 UTC-4%47K
07:00 UTC-5%51K
08:00 UTC-4%60K
09:00 UTC-3%68K
10:00 UTC-2%71K
11:00 UTC-3%77K
12:00 UTC-2%85K
13:00 UTC-2%93K
14:00 UTC-3%96K
15:00 UTC-2%99K
16:00 UTC-3%96K
17:00 UTC-2%89K
18:00 UTC-2%83K
19:00 UTC-2%79K
20:00 UTC-1%73K
21:00 UTC-1%65K
22:00 UTC-1%57K
23:00 UTC-2%51K
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: Sunday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Sunday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+4%228K
Monday0%281K
Tuesday-2%270K
Wednesday-1%249K
Thursday-2%242K
Friday-3%250K
Saturday+3%225K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Aug 25, 202668x 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!

    20K5616641512.4M viewsView on X
  • Aug 15, 202615x 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, 202614x 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
  • Aug 22, 202613x their median

    https://t.co/nXDeQvHNsU

    3.9K1421682214K viewsView on X
  • Aug 15, 202612x their median

    😅 https://t.co/C9MXqMDpzj

    3.5K731711260K viewsView on X
  • Aug 19, 202611x their median

    ??? https://t.co/4mnptAnjwH

    2.6K607056631K viewsView on X
  • Aug 17, 20269.0x their median

    10秒钟让你恨上一个人 https://t.co/rGmiqxiRta

    2.5K13217129508K viewsView on X
  • Apr 6, 20238.7x their median

    这里定义一个“自动编程机”: 1. 给ChatGPT定义任务和语言(比如Python); 2. 给ChatGPT定义有限的环境和命令(比如linux terminal、pip、conda); 3. 将ChatGPT输出代码给terminal执行,然后把编译错误、运行结果再回喂给ChatGPT,修改并生成新的代码; 4. 反复1~3,直到完成任务。 这个想法给你们了,不要尝试nodejs的环境(脚手架太复杂,ChatGPT不可能获得这些知识),最好给个简单原始的固定版本python3和pip/conda包管理。 这个“自动编程机”的想法就到此为止了,撸一个简单的原型应该不会超过1天。

    2.3K25782138.7M viewsView on X
  • Aug 24, 20268.6x their median

    在中国吃安全的蔬菜水果,有三个途径: 1. 只吃Sam's Club,办张会员卡,一日三餐只吃山姆,缺点是价格不低; 2. 只吃农村大集,因为不用冷链运输,所以不用任何违规保鲜除虫药剂,都是早晨用柴油三轮车拉来的,缺点是品质差、品种差、难吃,而且要跟野蛮人、原始人一样的中国农民讨价还价; 3. 只吃带皮的蔬菜水果,毕竟能渗透进去的保险除虫药剂非常少,白菜圆白菜买回家扒掉最外面一两层然后用水洗干净,黄瓜土豆西红柿茄子冬瓜丝瓜西葫认真削皮狠狠削皮。 当然我还是那句话,在中国,影响99%老百姓寿命的东西,压根就不是这些防腐剂、添加剂、除虫药剂, 让中国人折寿30年以上的东西,就三种:烟、酒、糖碳水脂肪。 能把烟戒掉,绝大多数男性能多活10年, 能把酒戒掉,绝大多数男性能再多活10年, 能把天天吃的红烧肉、炸鸡、汉堡、薯条、米饭、面条、鱼香肉丝、黄焖鸡米饭、排骨自助、烤肉、烧烤、烤串、地三鲜、锅包肉、油条、烧饼、月饼、点心、奶茶全部戒掉,绝大多数中国人能再多活20年。 这些东西比所谓的那一丁点泡在白菜上又挥发掉99%残留一丁点的甲醛,危害要大得多。

    2.1K2403319532K viewsView on X
  • Aug 26, 20266.9x their median

    Today, @ducklabs_com is joining @awscloud. The move is expected to be completed by early September. Joining AWS gives DuckLabs the resources and reach to bring DuckDB, DuckLake, and the Quack protocol to many more developers and organizations – and to pursue ideas at a scale that would have been difficult for us to reach alone. The DuckLabs team will remain together in Amsterdam and will continue working for the Duck Stack community as an AWS subsidiary. Most importantly, #DuckDB and the other open source components of the Duck Stack will remain free and open source under the MIT license, with the non-profit DuckDB Foundation continuing its stewardship of the projects. This is a significant moment for DuckLabs and the Duck Stack community. It marks the end of one chapter that we are immensely proud of, and the beginning of another that we believe will take DuckDB much further. Read the full announcement here: https://t.co/ayzbna3gxQ #AWS

    1.6K34565166256K 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

#duckdb

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 311 interactions against 1.6M followers, an engagement rate of 0.019%. Measured over 178 original posts, its engagement rate beats 57% of 3,739 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 89K times each, and 0.35% of those impressions turn into an interaction. That is about 5.53% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 9.6 posts a day over the last 30 days, with activity on roughly 53% of days. Most posts go out around 02:00 UTC, and Sunday is the busiest day of the week. Of the 178 posts sampled, 34% carry an image or video, 8% are part of a thread and 8% link out. The account's strongest tracked post pulled 21K interactions, about 68x its own typical post.

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 0.019%, based on the median interactions across 178 original posts from the last 30 days against 1,606,451 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.019%, lidang 立党 (劝人卖房/学CS/买SP500/纳100/OpenAI/Anthrop第一人) sits above the 25th percentile of the 36,134 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?
Its engagement rate beats 57% of the tracked X accounts closest to it in follower count (3,739 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 @lidangzzz post?
Most posts go out around 02:00 UTC, and Sunday is its busiest day, at roughly 9.63 posts per day across the measured window.

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