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 11 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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.
Growth
33 measurements spanning 43 days, net +192. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 13,222–13,472 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
18 Sept 2026, 11:01
13,443
+24
16 Sept 2026, 04:57
13,419
+16
14 Sept 2026, 13:39
13,403
-8
13 Sept 2026, 01:17
13,411
+9
11 Sept 2026, 05:41
13,402
+10
8 Sept 2026, 08:37
13,392
+14
5 Sept 2026, 04:19
13,378
+8
3 Sept 2026, 09:33
13,370
+5
2 Sept 2026, 03:31
13,365
+10
31 Aug 2026, 09:08
13,355
+5
30 Aug 2026, 09:03
13,350
-2
29 Aug 2026, 06:44
13,352
-2
28 Aug 2026, 08:25
13,354
-6
27 Aug 2026, 05:13
13,360
+2
26 Aug 2026, 06:28
13,358
+7
25 Aug 2026, 05:34
13,351
+4
24 Aug 2026, 06:56
13,347
+9
22 Aug 2026, 14:44
13,338
+1
21 Aug 2026, 08:35
13,337
+13
20 Aug 2026, 11:22
13,324
first reading
Engagement
50 posts held, back to 17 July 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 55 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
8.39%
avg views ÷ 13,443 subscribers
Avg views / post
1,130
12 posts measured
Reaction rate
0.992%
reactions ÷ views · ER floor
Posts in window
12
of 50 held
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 11 of 12 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 2 September 2026
Posts held
50 (17 July 2026 – 2 September 2026)
Views total
13,537
Reactions total
119
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Sept 2026, 21:27 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.
Reaction mix
487 reactions across 40 posts, in 12 distinct kinds. The most used accounts for 37.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
😁
181
37.2%
👎
148
30.4%
❤
63
12.9%
👍
36
7.39%
😱
12
2.46%
🤔
12
2.46%
🔥
9
1.85%
🤯
9
1.85%
💯
6
1.23%
😢
5
1.03%
🤩
5
1.03%
👏
1
0.205%
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 44 of the 50 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 491 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 50 most recent posts we hold, published 17 July 2026 to 2 September 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.
Advertising
Ad load
4.00%
2 of 50 posts carry an ad marker
Regulatory tokens
2
posts carrying an erid · 2 distinct tokens
Median views · ads
787
over 2 measured posts
Median views · rest
1,700
over 48 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2SDnjdsabeT
1
1 September 2026
1 September 2026
2VfnxvYFuhe
1
1 September 2026
1 September 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 50 most recent posts we hold, published 17 July 2026 to 2 September 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
HR-менеджер
Основные задачи:
Адаптация новых специалистов (около 40% работы):
— сопровождать новых специалистов на периоде стажировки;
— организовывать ввод в должность и знакомство с внутренними процессами;
— контролировать выполнение плана адаптации и соблюдение сроков;
— собирать обратную связь от новичка и руководителя;
— оценивать результаты адаптации и готовить итоговые выводы.
Поддержка команды (около 20%):…
😤 «На интервью выяснилось, что всё совсем не так»
Исследование Dream Job опросило 614 соискателей и оказалось, что:
77% кандидатов сталкивались с тем, что реальные условия работы оказывались хуже описанных в вакансии.
Формат — оказался не тот. Зарплата — «обсуждается». Задачи — шире, чем написано. Команда — не совсем та, что на сайте.
При этом поиск работы и без того изматывает: больше 70% кандидатов называют его…
Первое радио для HR - на выставке ПЕРСОНАЛ ЭКСПО 2026!?
Наши партнеры из компании VNUTRICOMFM.RU отправляются на крупнейший форум для HR! Ловите топовых экспертов в прямом эфире и записи! А еще у нас есть промокод: vnutricomfm2026
Сетка вещания 7,8 сентября 2026:
- Новости
- Интервью со спикерами форума
- Обсуждения актуальных тем 2026
- Розыгрыши подарков в прямом эфире
Классная музыка и отличное настроение в на…
Ситуация в IT-подборе прямо сейчас: откликов тысячи, а хороших кандидатов — штук десять. Что делать?
Как найти, нанять и не потерять тех самых СИЛЬНЫХ специалистов?
Эксперты Островка, Финтабло, PURRWEB и Умскул ответят на этот вопрос на онлайн-конференции Хантфлоу 10 сентября.
⏰ Когда: Четверг, 10 сентября, в 11:00 МСК
✅ Регистрация: Бесплатно
💻 Формат: Онлайн
Узнайте:
✔️ Как отличить реальный уровень кандидата …
Директор по персоналу
Компания: Revoluterra
Обязанности:
— Подбор и найм — в первую очередь массовый набор менеджеров по продажам направления, точечно — ключевые роли
— Адаптация и обучение — контроль адаптации и обучения новых сотрудников, чтобы быстрее выходили на результат
— Процессы направления — выполнение задач и процессов совместно с HR-менеджером направления
— HR-документооборот — кадровый документооборот (…
HR - менеджер
Компания: ООО Ваши Люди
Условия:
— Фикс от 34 500 до 50 000 по сетке грейдов (при от 6 и более адаптированных кандидатов в месяц)
— Бонус за адаптированного кандидата (5 смен) от 2 000 до 5 000 за АК
— При наборе от 1 до 5 адаптированных кандидатов фикса нет, только бонус 5000 за АК
— Удаленная забота из дома
— Полный день, график 5/2, возможны смены в выходные
— Оформление по ГПХ (самозанятость или И…
Менеджер по персоналу
Обязанности:
— Подбор персонала (5-10 разноплановых вакансий в работе)
— Участие в выборе максимально эффективных источников размещения вакансий, привлечение альтернативных источников: социальные сети, паблики, сообщества
— Составление вакансии на основе заявки на найм персонала, поступающей от руководителя
— Проведение интервью (телефонное, WhatsApp, Zoom)
— Ведение отчетности по результатам р…
Специалист по подбору персонала
Компания: Альфа-Банк
Задачи:
— Формировать воронку кандидатов;
— Искать резюме на Job сайтах, звонить, предлагать вакансии;
— Проводить телефонные интервью.
Условия:
— Срочный трудовой договор на 6 мес., с возможностью продления;
— Фиксированная оплата 50 000 рублей до вычета налога;
— Удаленная работа со своим оборудованием (рассматриваем кандидатов только с присутствием в г. Красн…
❔Корпорация или стартап: как тип компании меняет всю вашу карьеру в HR
Когда вы ищете новое место, то смотрите на должность, зарплату, индустрию. На тип компании почти никогда.
А зря, потому что корпорация и стартап — это не просто разный масштаб. Это разная профессия внутри одной профессии.
Поехали разбираться с этим вектором развтия ↓
✔️ Плюсы смены типа компании
• Переход из корпорации в стартап или наоборот — …
Партнер по подбору персонала / Рекрутер
Компания: ИДЕАЛСТРОЙИНВЕСТ
Задачи:
— Искать и привлекать кандидатов (инженеры ПТО, геодезисты) для объектов по всей России.
— Проводить первичные интервью и оценивать профессиональные и личностные качества соискателей.
— Вести базу кандидатов, работать с откликами и рекомендациями.
— Сопровождать кандидатов на всех этапах отбора.
— Вести базу кандидатов и управлять процессами…
👍3👎3🤯1😢1
Showing the 12 most recent of 50 posts we hold for @work_hr. 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.
Polls
The 5 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
Какой вариант независимости интересен вам больше всего?
🎯 Фриланс44%
🔍 Консалтинг31%
🚀 Собственный проект26%
Shares as published, totalling 101%. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 50 most recent posts we hold, published 17 July 2026 to 2 September 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
Mentions
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.
Appears in Telegram’s recommendations for other channels
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.
HR[хаб]вакансии @hrhubvacancy · 22,415 Telegram ranks this channel #11 of 100 here — alongside 99 others — read 20 September 2026
Зайдите в кадры! @kadrovoedelojournal · 30,922 Telegram ranks this channel #90 of 100 here — alongside 99 others — read 6 September 2026
topcareer @topcareerschool · 23,471 Telegram ranks this channel #93 of 100 here — alongside 99 others — read 18 September 2026
HR-аналитика @hranalitycs · 34,144 Telegram ranks this channel #93 of 100 here — alongside 99 others — read 3 September 2026
This channel appears in 4 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Удаленная работа для HR” (@work_hr), 13,443 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/work_hr.
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.