https://www.youtube.com/watch?v=EmKQsSDlaa4

Channel
硬核小卒
@yinghexiaozu
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
8,327subscribers
-24 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1001401203799 |
|---|---|
| Type | Channel |
| Username | @yinghexiaozu |
| Created | Between 1 April 2019 and 31 October 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/yinghexiaozu |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 14:05 | 8,327 | -13 |
| 10 Aug 2026, 09:02 | 8,340 | -10 |
| 7 Aug 2026, 02:34 | 8,350 | -1 |
| 6 Aug 2026, 22:01 | 8,351 | first reading |
Engagement
10 posts held, back to 21 May 2023 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 11 pagesof Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 10 posts for this entry, the most recent from 7 October 2024. An engagement rate over an empty window would be a number about nothing.
Reaction mix
264 reactions across 7 posts, in 8 distinct kinds. The most used accounts for 59.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 156 | 59.1% | |
| ❤ | 51 | 19.3% | |
| 👌 | 47 | 17.8% | |
| 🔥 | 4 | 1.52% | |
| 🤩 | 3 | 1.14% | |
| ❤🔥 | 1 | 0.379% | |
| 👏 | 1 | 0.379% | |
| 🙏 | 1 | 0.379% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 8 of the 10 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 264reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 21 May 2023 to 7 October 2024, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Recent posts
https://www.amazon.com/Team-Geek-Software-Developers-Working/dp/1449302440
https://www.youtube.com/watch?v=lH74gNeryhQ
富兰克林在三百年前玩的招数,放到现在也是不过时的。
👌36👍8🤩2
欺骗的艺术:初识社会工程学 聊聊人是如何被轻易操纵的。 往期目录 | 订阅 #Newsletter
👍12👌3❤2👏1
苹果的保密工作为何做得那么好? 最近一段时间,我都在写关于社会工程学的文章,同时我也顺便了解了一下苹果公司是如何做保密工作的。 ▎首先是自己的员工 苹果用各种方式把保密文化深植于员工的头脑里。 而且他们对待自己的员工,奉行的是「需要才知道」的原则。任何需要进出的建筑才允许你进出,任何需要你知道的信息才允许你知道。 苹果最为重视的工业设计部门、操作系统部门,只有少数核心员工才能进入,而且实行严格的隔离措施。所有的原型都有激光标记的序列号,并由一个中央跟踪系统(称为iTrack)进行跟踪。 有些项目只让开发者知道分配给他的那一小部分内容,有什么问题就尽量自己搞定,不鼓励团队协作,严格保密,你在做什么不可以告诉同事,也不可以告诉配偶。比如说开发操作系统,那么你只负责加载进程的那小部分代码,其他的细节你就完全无从得知,甚至不让你知道进程的虚拟内存分布。 如果你想在新硬件上做开发做测试,可以,需要先换个壳子,或者把壳子给罩起…
👍40❤2👌2🔥1
1999年,刘慈欣在他的短篇小说《带上她的眼睛》中构思了一种眼镜:当你戴上它时,你所看到的图像由超高频信息波发射出去,可以被远方戴同样传感眼镜的人接收到。于是他就能看到你所看到的一切,就像你带着他的眼睛一样。 而如今,这个想象正在变成现实。 可以预计,未来的直播画面将不再局限于一个小屏幕上,而是扩展为360度的全景图像。 我们也只需要戴上一副眼镜,就能瞬间置身于他人所见之景象,身临其境地感受别人的经历。做到足不出户游世界。 未来可期也。
👍35❤5👌2
一个新时代的到来!
❤30👍7🔥2👌1🤩1
从 2023 年 1 月 1 日开始,美国加州要求雇员数大于 15 的公司披露每个发布的职位的薪资范围,而且其他州也在陆续跟上步伐,因为他们认为公开薪资可以进一步促进劳动公平。于是乎,现在就有这样的网站,专门做这方面数据的汇总:https://www.comprehensive.io (图2) 其实美国多个州在薪酬透明度方面都做得挺好的,比如说加州就搞了一个叫做「透明加州」的网站,专门用来展示各种职位的薪资数据,可以帮助民众在求职的时候做出明智的决定,目前已经收录了几千万条薪酬数据,这些数据超级有价值。https://transparentcalifornia.com/salaries/all/ (图1) 在 Senior Software Engineer 的薪酬排行中,Roblox、Reddit、VMware 这几个居然非常靠前,这是我没有想到的,Roblox 给这个职位的最低薪酬都有 $218,540。(图3) 另外…
👍50❤6👌2❤🔥1🔥1🙏1
玩了一下 matrix67 做的 分形迷宫小游戏 ,挺有意思的。想了老半天,在纸上画了个示意图,最终让小狗拿到钥匙了。 他的 博客 里还提到过更难的分形迷宫,我暂时还没有想到解法,大家有思路吗? 更新:找到一个叫做Daedalus的库:分形迷宫生成、分形迷宫解决,但是没文档,看不懂这些算法。
❤6👍4👌1
Showing the 10 most recent of 10 posts we hold for @yinghexiaozu. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Citation-graph rank
Citation-graph rank — 1,074,535 of 1,481,217entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Named by 7 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 13 August 2026 — this entry's latest reading, not the date you are reading this.
“硬核小卒” (@yinghexiaozu), 8,327 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/yinghexiaozu.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.