人在万象,寻找能谈代理的公司,非诚勿扰! @ssq5270
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Channel
@hr10060
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry
26,849subscribers
-1,855 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001823391598 |
|---|---|
| Type | Channel |
| Username | @hr10060 |
| Description | 本频道发布全球招聘信息,真假自行甄别。 发布请备注所在地区: 🚀联盟导航: @LYYYY 悬赏吃瓜: @XPPPP 海外曝光: @Vhhhh 海外新闻: @Xwwww 供需资源: @Yhhhh 内涵休闲: @Vdddd 人事招聘: @ZFFFF 中文搜索: @STTTT ✅商务合作: @diiii |
| Created | Between 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 25 October 2026 |
| Measurements held | 48 |
| Confirmed unchanged | 1 time, most recently 25 October 2026 |
| On Telegram | t.me/hr10060 |
Job listings — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 100% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 25 Oct 2026, 03:04 | 26,849 | -16 |
| 24 Oct 2026, 01:27 | 26,865 | -17 |
| 22 Oct 2026, 22:10 | 26,882 | -20 |
| 21 Oct 2026, 21:55 | 26,902 | -8 |
| 20 Oct 2026, 18:56 | 26,910 | -13 |
| 19 Oct 2026, 17:49 | 26,923 | -7 |
| 18 Oct 2026, 18:51 | 26,930 | -8 |
| 17 Oct 2026, 16:57 | 26,938 | -14 |
| 16 Oct 2026, 14:00 | 26,952 | -18 |
| 15 Oct 2026, 14:27 | 26,970 | -18 |
| 14 Oct 2026, 13:06 | 26,988 | -26 |
| 13 Oct 2026, 00:41 | 27,014 | -41 |
| 8 Oct 2026, 18:20 | 27,055 | -34 |
| 4 Oct 2026, 07:56 | 27,089 | -73 |
| 25 Sept 2026, 17:20 | 27,162 | -166 |
| 19 Sept 2026, 05:15 | 27,328 | -39 |
| 16 Sept 2026, 18:01 | 27,367 | -30 |
| 14 Sept 2026, 19:20 | 27,397 | -32 |
| 13 Sept 2026, 04:22 | 27,429 | -101 |
| 11 Sept 2026, 10:01 | 27,530 | first reading |
1,603 posts held, back to 6 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 119 pages of Telegram’s post history, 20 posts per page.
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 303 of 670 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 25 October 2026 |
|---|---|
| Posts held | 1,603 (6 August 2026 – 25 October 2026) |
| Views total | 1,448,934 |
| Reactions total | 401 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 25 Oct 2026, 08:52 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Lifetime counters from Telegram’s own channel header, read 25 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Measured directly from 38 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
551 reactions across 388 posts, in 9 distinct kinds. The most used accounts for 14.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🤩 | 78 | 14.2% | |
| 😁 | 68 | 12.3% | |
| 🎉 | 64 | 11.6% | |
| ⚡ | 63 | 11.4% | |
| 🥰 | 62 | 11.3% | |
| 👍 | 61 | 11.1% | |
| 👏 | 59 | 10.7% | |
| 🔥 | 49 | 8.89% | |
| ❤ | 47 | 8.53% |
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 392 of the 1,000 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 551 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 30 August 2026 to 25 October 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
人在万象,寻找能谈代理的公司,非诚勿扰! @ssq5270
👍1
有公司招聘人吗 4个人 做过股转彩资金 目前考虑快一点的项目 目前在暹粒 @kcmkaia
🤩1
求职,本人自己现在妙瓦底,有过精聊资金盘经验,在妙瓦底目前没有工作有点走投无路实在不知道干啥了,想上班 ,有没有公司能安排接的?别玩套路,别卖人口的, @dogsa80008
👍1
零零后想去外面做,之前在国内做过,中介勿扰 @aw476s
⚡1
英文翻译求职,澳洲华裔 工资要求5000,东南亚都行,之前做美国二三线(不懂不要找我) 有招的请直接发公司地点工资这些先给我 我✈️: @Allen9514
手下有人 胆大心细懂感恩 做过mt5海外 bc信誉盘 wd枪手 酒托 跑分 可以接受一切能赚钱的项目 各位老大联系 @facai3846
求职物业网络工程师,之前在柬埔寨做物业网络工程师,柬埔寨现在没业务了求职其他地区的网工网管,备注:物业网络部的联系 @cisconeter
寻找老板合作,可做精聊刷单和商城还有兼职刷单,可以选择,本人做海外市场多年工作经验,做过资金盘快杀精聊,资金挥霍一空,找一个老板投资,基本上所有已经全部准备好,资金入场就可以到位,成熟项目,有人有技术有接待,可以做白手套,也可以线下管理。 如果有资金盘岗位也可联系 @Gbllooxx
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Showing the 12 most recent of 1,603 posts we hold for @hr10060. 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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
@hr10060 named 7 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
We ourselves saw each of these resolve to a real page at some point before it went vacant — a genuine, evidenced change, not an inference from absence.
References a handle that is not a live channel — we have no record it ever was one.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 16 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 25 October 2026 — this entry's latest reading, not the date you are reading this.
“BOSS直聘|招聘|求职|工作🕵️♂️” (@hr10060), 26,849 subscribers as measured 25 October 2026. Telegram Register, tgregister.com/channel/hr10060.
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.