池建强 engagement report
@chijianqiang - 51K followers on X
Measured over 37 original posts from a 30-day window, last computed on October 19, 2026.
Engagement
A typical post picks up 9 interactions against 51K followers, an engagement rate of 0.018%. Measured over 37 original posts, its engagement rate beats 14% of 20,445 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 4.7K times each, and 0.193% of those impressions turn into an interaction. That is about 9.22% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.6 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 04:00 UTC, and Thursday is the busiest day of the week. Of the 37 posts sampled, 46% carry an image or video and 38% link out. The account's strongest tracked post pulled 870 interactions, about 97x its own typical post.
Measured over 37 original posts from a 30-day window, last computed on October 19, 2026.
Compared with accounts its own size
池建强's engagement rate beats 14% of the tracked X accounts closest to it in follower count (20,445 accounts, accounts of similar size (decile 4 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 6% 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 0.018%, 池建强 sits above the 10th percentile of the 204,583 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.024%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.024% |
| 50th percentile | 0.143% |
| 75th percentile | 0.677% |
| 90th percentile | 2.55% |
| 99th percentile | 82.4% |
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 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.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 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 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
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.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 46% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 38% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | no effect | -2% to -1% | 42K |
- 46% 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.
- 38% 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 22, 202697x their median
想深入学习顶级英文播客，但听力跟不上怎么办？分享我实践两年的严肃听播客工作流和工具套装： 获取英文文字稿 → AI 整理中文初稿 → 自己审阅修改 → 保存成合集反复阅读和收听 只有亲手改过、反复读过听过的知识，才能内化为真认知。心法与工具干货见文👇 https://t.co/gB7GyH8Oyl
- Oct 27, 202527x their median
创业就是这么回事儿 一转眼已经进入了 2025 年的最后一个季度，还有两个月，2025 年就算结束了。 之前创业的朋友，有的公司已经关掉，活下来的公司基本上都已经超过 5 年，有 5 年的，有 10 年的，有的十几年。你会发现，这些活下来的创业者，很少再去讲创业的宏大叙事，给自己打的鸡血也差不多了，没倒闭，创业这个事情就变成了一种日常。 创业初期，尤其是头一两年，创业者很需要给自己打鸡血，这个阶段最难，要给自己讲故事，给别人讲故事，需要融到钱，做出产品，产品还得能在市场上活下来，有用户使用，有用户付费。tough times… 一旦公司活了两三年，还能继续活下去，大概率找到了生存之道，不太依赖融资，创业变成了一种日常。 这时会有两种情况出现：一种是产品做得特别好，大红大紫，高歌猛进，要么上市，要么成为独角兽。不过，大部分创业公司只有极小的概率达到这种状态。 另一种就是常态化，做自己喜欢的产品，能够养活公司和团队，每个月的营收大于支出，下个月能再多赚点就更好了，就能做更多有意思的东西了。 其实，创业就是这么回事儿。
- Sep 23, 202621x their median
这篇长文我要强烈推荐一下： https://t.co/6VrJELTr0K X 上关于 Jev 发布的热议铺天盖地，但大多数都没说到点子上：“一个 JSON 分类器，1200 万次浏览？没错，我们确实在泡沫里。”普通 LLM 生成“90% 置信”这样的文字；它产出这几个词的概率，并不等于它有 90% 的概率是对的。然而我们恰恰在这个模式上搭建了欺诈筛查、内容审核、路由分派和风险评估：为逐 token 的生成付费，然后把一个未经验证的置信度声明，当成软件可以据此行动的概率。 Jev 的主张是：保留预训练 LLM 的知识，但把生成出来的置信度声明，换成直接从内部表示读出的决策概率。这些概率是针对真实结果训练出来的。给它共享的状态（state）、问题（questions）和允许的答案，它并行返回各概率分布，不生成任何文本。[1] 对于这一整类应用，这同时解决了两个问题：决策信号的可靠性，以及产生信号所浪费的计算。 只有一个问题：它不开源权重，TypeSafe 也拒绝分享他们的研究……所以，我（作者）来（尽力）代劳。
- Oct 14, 202621x their median
现在 Coding Agent 这么牛逼其实也没催生出多少好产品，更多的还是媒体自媒体狂欢，写教程来劲，产品就没有。我看人们各种开源，大都开了个寂寞，都是 AI 写的，现在的开源和以前的含金量不可同日而语了。 AI 依然没能降低创建一款好产品的难度，创建个性化产品（自己用）的难度确实指数级别的降低了。用完即抛也行。 以后人人能写自己的用的东西，做通用软件（商业化能赚钱的）就更难了，一个工具产品没生态，简直无法生存。
- Oct 11, 20269.8x their median
我写线上代码是 2000 年，那时候 20 出头，写代码的都是 70 后。再大一点就是上古程序员了，很少，反正在洪恩写代码的，没有超过 30 岁的，创始人池宇峰才 28，那会已经开始流行程序员 35 岁危机了，因为没见过 35 的程序员。这都多少年了，一说还是 35 咋样咋样，没个进步。 结果呢，人生如白驹过隙，35 岁，45 岁如同碾过时光的大卡车，轰隆轰而过，人只能在车上跟着走，永远无法回头。现在最小的 70 后都 47 了，说实话 50 岁已经是我父母退休的年纪，但是看这一批同龄人，大都在第一线干挺欢，要么在大厂带团队，要么资深架构师，要么创业，要么自己干点啥。 移动互联网时期造福挺厉害，有一批 40 多岁的朋友那会财富自由就退休了，最近一打听，都回来工作了，要么创业，要么做做咨询，还有重回大厂的，看起来是真闲不住。 有个移民加拿大的老哥，回深圳工作了，说闲的屁股都冒烟了，“我没那么多爱好，再闲坐下去和等死也没啥区别，身体都垮了”。 我现在想知道的是，等这帮人 60 多了，是不是还这么活跃呢？看看推特中文圈里多少老登就知道了……
- Sep 15, 20265.2x their median
做一个产品有很多人用，在这个时代尤其幸运。 因为大部分人烧 Token 做出来的东西和 Skill，用户只有一个，就是自己，可能自己用两天都不用了 😂
- Oct 15, 20264.8x their median
DeepSeek 早上宕机到现在还没有恢复，导致我们的 CatReader 翻译服务没法用了。 作为一个公共设施，这个宕机时间不短了。不知道咋给用户赔偿 😂
- Oct 11, 20263.9x their median
长期主义就像具有欺骗性质的“安全毯”，人们误以为自己可以回避令人痛苦和难以预测的短期问题。然而事实并非如此，甚至恰恰相反——时间越长，痛苦和磨难就越多。 这句话来自 Same as Ever : A Guide to What Never Changes
- Sep 13, 20263.7x their median
Omarchy 版本发展太快了 Mac 体验版已就位 https://t.co/NOZquZ1MVj
- Sep 16, 20263.3x their median
据 Tibo 说，今天有礼物，我的 Codex 还剩下 50% 的功力 https://t.co/K1rXCHiMxB
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 9 interactions against 51K followers, an engagement rate of 0.018%. Measured over 37 original posts, its engagement rate beats 14% of 20,445 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 4.7K times each, and 0.193% of those impressions turn into an interaction. That is about 9.22% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 1.6 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 04:00 UTC, and Thursday is the busiest day of the week. Of the 37 posts sampled, 46% carry an image or video and 38% link out. The account's strongest tracked post pulled 870 interactions, about 97x its own typical post.
- What is 池建强's engagement rate on X?
- 池建强 (@chijianqiang) has an engagement rate of 0.018%, based on the median interactions across 37 original posts from the last 30 days against 50,534 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.018%, 池建强 sits above the 10th percentile of the 204,583 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 @chijianqiang have real engagement?
- Its engagement rate beats 14% of the tracked X accounts closest to it in follower count (20,445 accounts), which puts it in the bottom quarter for its size 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 @chijianqiang post?
- Most posts go out around 04:00 UTC, and Thursday is its busiest day, at roughly 1.57 posts per day across the measured window.