Job listings — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 20 August 2026 and assigned it the closest of 31 fixed categories, at 70% 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 the other topics.
Channels linked by matching posts
This channel is in a group of 3 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
64 measurements spanning 96 days, net -1,551. 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 50,522–60,550 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)
Subscribers
Change
10 Nov 2026, 07:40
55,184
-1,102
8 Nov 2026, 18:50
56,286
-673
7 Nov 2026, 14:09
56,959
-22
6 Nov 2026, 13:37
56,981
-209
5 Nov 2026, 10:55
57,190
+3,453
4 Nov 2026, 11:19
53,737
+2,058
3 Nov 2026, 08:09
51,679
-904
2 Nov 2026, 06:20
52,583
-24
1 Nov 2026, 04:09
52,607
-27
31 Oct 2026, 02:18
52,634
-205
29 Oct 2026, 22:52
52,839
-63
28 Oct 2026, 21:37
52,902
-14
27 Oct 2026, 23:57
52,916
-1,704
27 Oct 2026, 02:47
54,620
-25
26 Oct 2026, 04:29
54,645
-54
25 Oct 2026, 07:38
54,699
-2,125
24 Oct 2026, 04:38
56,824
-25
23 Oct 2026, 06:41
56,849
-35
22 Oct 2026, 07:36
56,884
-1,209
20 Oct 2026, 21:59
58,093
first reading
Engagement
153 posts held, back to 26 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 195 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
7.01%
avg views ÷ 55,184 subscribers
Avg views / post
3,870
48 posts measured
Reaction rate
0.167%
reactions ÷ views · ER floor
Posts in window
50
of 153 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 47 of 48 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 11 November 2026
Posts held
153 (26 July 2026 – 11 November 2026)
Views total
185,629
Reactions total
309
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 11:54 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.
What this channel posts
Photos
≈1,820
Videos
≈97
Links
≈1,170
Lifetime counters from Telegram’s own channel header, read 11 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
3m 40s
Average length
44s
Measured directly from 5 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.
Reaction mix
1,034 reactions across 141 posts, in 19 distinct kinds. The most used accounts for 32.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
335
32.4%
❤🔥
273
26.4%
👏
150
14.5%
💯
121
11.7%
✍
45
4.35%
⚡
13
1.26%
🙏
13
1.26%
🥰
13
1.26%
😁
12
1.16%
😍
11
1.06%
🤝
11
1.06%
🎉
10
0.967%
🕊
6
0.58%
🤗
5
0.484%
🆒
4
0.387%
🏆
4
0.387%
👌
3
0.29%
🫡
3
0.29%
🤩
2
0.193%
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 141 of the 153 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 1,034 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 153 most recent posts we hold, published 26 July 2026 to 11 November 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.
Telegram Stars
Stars received
25
across the posts below
Posts paid on
13
of 147 we hold a reading for · 9%
Most on one post
12
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @hrgate. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 153 most recent posts we hold for this entry, published 26 July 2026 to 11 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Advertising
Ad load
1.31%
2 of 153 posts carry an ad marker
Regulatory tokens
2
posts carrying an erid · 2 distinct tokens
Median views · ads
1,740
over 2 measured posts
Median views · rest
2,050
over 145 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
2VfnxxH8Su3
1
9 November 2026
9 November 2026
2Vfnxxyfnf6
1
22 October 2026
22 October 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 153 most recent posts we hold, published 26 July 2026 to 11 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 5 of 50 posts held from the last 30 days (10.0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Мысль вслух про подкасты Дарьи:
1. Вот поверьте, если бы вы так часто выступали и по вам по каждому провели бы разбор с выдергиванием цитат - ооооо, вы бы себя тоже захейтили
2. Много хейта = много популярности. Плохо это или хорошо, увидим позже.
3. Люди, будьте добрее . Не видела что-то святых за все годы работы в корпорациях, госсекторе и вот теперь в своем деле. Проверочка вам перед Новым годом и Рождеством!
…
САМОЕ ПОЛЕЗНОЕ РЕАЛИТИ
Друзья, вчера стартовало наше реалити «Продажи эксперта». И уже в первый день участники получили что-то новенькое и бомбическое: карту эксперта: семь шагов от поиска своей экспертности до первых продаж. Под каждым шагом нарисовано, как выглядит готовый результат. Там карта смыслов, линейка продуктов, шаблон продукта, карта эмпатии, каналы продаж, 12 способов продать экспертизу и декомпозиция н…
Карьерный расцвет в возрасте 50+: что говорят учёные?
Стереотип на рынке труда:
после 40 лет карьера идёт на спад по причине того, что пик рабочей формы позади.
Однако наука утверждает обратное!
Исследование показало, что профессиональный пик наступает именно в среднем возрасте (около 50-60 лет):
- Несмотря на снижение скорости реакции («fluid intelligence»), развивается мудрость, опыт и способность правильно оцен…
По решению Президента России Владимира Владимировича Путина стартовал отбор на третий поток программы «Время героев».
В этот раз программа впервые открыта для участников и ветеранов СВО без высшего образования. Это принципиально новый формат, который позволит еще большему числу наших защитников получить необходимые знания и продолжить служить стране уже в гражданской жизни. Но это не означает, что мы снижаем планку …
ФОТ растет быстрее производительности. Что может изменить HR в 2027 году?
‼️Проверьте свой бюджет на ФОТ перед утверждением на 2027 год!
Александр Белов, директор компании «ТопФактор», расскажет, как планировать численность и ФОТ от бизнес-целей, связывать результативность сотрудников с экономикой компании и повышать отдачу от персонала
На конференции вы узнаете:
• Почему ФОТ растёт быстрее производительности и что…
🥰 Что ты делаешь 14 ноября?
Мы точно знаем ответ: ты будешь на форуме «Созидатели» вместе с теми, кто уже создаёт своё дело, развивается в профессии, запускает проекты, и теми, кто только готовится сделать первый шаг.
Открываем регистрацию 🔥
Тебя ждут:
➡️ встречи с теми, кого ты видел только по ту сторону экрана
➡️ деловые сессии, возможность найти инвестора или получить стажировку
➡️ новые знакомства и партнёрст…
Да, друзья, кто записывается на интенсив по продажам эксперта - если вы указали неверный номер телефона (как вот Валентина) - я никак не смогу вам написать. Так что заполните еще раз, если от меня не получили письма.
А мы уже вовсю готовимся к старту ❤️❤️❤️
О! Предприниматели и компании, присмотритесь: ну наконец-то сервис HR uber появился у нас.
Давно говорю: профессионал с огромным опытом уже не должен работать руками, это как гвозди микроскопом забивать. И молоток из микроскопа получается дорогой, и микроскоп молотком работать уже не хочет, выгорит.
Но вот микроскоп использовать, чтобы настраивать молотки или что у вас там для гвоздей - самое оно.
Наталья, браво!…
🤩🤩🤩 12 ноября не пропустите Стартап-кафе: Таланты «Понятно ли, что вы продаёте?» — экспресс-аудит позиционирования и коммуникаций стартапа
Мероприятие пройдет в формате игры «5 секунд». В режиме реального времени проверим, как ваш сайт, лендинг или питч воспринимается «холодной» аудиторией.
Что будет на мероприятии:
👉Разбор психологии первого касания. Узнаете, почему основатели «слепы» к собственным ошибкам, и изу…
МАМИНА КАРЬЕРА
Пятая книга. Да? Да!
Пока верстали ее с издателем, поймала себя на мысли: я ведь не про карьеру писала, а про то, как всё это живёт рядом с детьми.
Знакомьтесь: «Мамина карьера». Книга для женщин и девочек. На этой неделе пошла в печать, к новому году кто-то ее получит, сама жду не дождусь.
Это новый для меня жанр - откровенный дневник мамы четверых детей и HR-директора о том, как совмещать материн…
🔥10❤🔥8👏3😍2
Showing the 12 most recent of 153 posts we hold for @hrgate. 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.
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 13 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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@hrgate named 1 handle 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.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@rian_ru named in 3 posts, 4 November 2026 – 8 November 2026
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 28 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Гений переговоров | Ольга Грищенко @kotperegovor · 42,758 Telegram ranks this channel #49 of 96 here — alongside 95 others — read 28 August 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list 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 10 November 2026 — this
entry's latest reading, not the date you are reading this.
“Эйчаргейт| Перезагрузка” (@hrgate), 55,184 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/hrgate.
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.