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Channel

HR-вебинары и технологии

@webinarforhr

On this record: Topic · Observations · Growth · Engagement · What this channel posts · Reactions · Advertising · Posts · Posts recorded as deleted · Citations · Telegram's recommendations · Cite this entry

15,368subscribers

-122 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001180032999
TypeChannel
Username@webinarforhr
DescriptionРазвивающая HR-среда. По рекламе обращаться - @hr_webinars
CreatedBetween 1 April 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live10 November 2026
Measurements held59
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/webinarforhr

Topic

Education — 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 93% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 4 other registered channels. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@hrandmuchmore/320013 Aug 2026, 07:40 UTC@webinarforhr/7508 · this entry20 Aug 2026, 06:02 UTC1.007 days
@webinarforhr/7493 · this entry18 Aug 2026, 09:03 UTC@hrandmuchmore/321220 Aug 2026, 05:50 UTC1.0045 hours
@hrandmuchmore/321320 Aug 2026, 08:55 UTC@webinarforhr/7522 · this entry25 Aug 2026, 07:02 UTC1.005 days
@hrandmuchmore/319011 Aug 2026, 08:26 UTC@webinarforhr/7482 · this entry13 Aug 2026, 06:04 UTC0.9946 hours
@hrandmuchmore/34319 Nov 2026, 06:41 UTC@webinarforhr/7757 · this entry9 Nov 2026, 08:00 UTC0.9879 minutes
@webinarforhr/7750 · this entry4 Nov 2026, 11:39 UTC@hrandmuchmore/34264 Nov 2026, 11:56 UTC0.9817 minutes
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@hrandmuchmore8 (8/8 hand-verifiable sample passed)0.9924 hourseven
@hrvacancies_rff5 (5/5 hand-verifiable sample passed)0.9947 hours@hrvacancies_rff (3–2)
@rff_channel5 (5/5 hand-verifiable sample passed)0.992.2 hours@rff_channel (3–2)
@hr_me_community5 (5/5 hand-verifiable sample passed)0.9913 hours@hr_me_community (3–2)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 13 of the 13 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 72 comparable posts for this entry, running 28 July 2026 to 10 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Recorded under the key clone_mutual, last confirmed 11 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Growth

15,35415,53715,445.56 August 2026 — 15,490 subscribers6 August 2026 — 15,490 subscribers7 August 2026 — 15,479 subscribers8 August 2026 — 15,473 subscribers10 August 2026 — 15,470 subscribers11 August 2026 — 15,464 subscribers12 August 2026 — 15,458 subscribers13 August 2026 — 15,455 subscribers14 August 2026 — 15,442 subscribers16 August 2026 — 15,438 subscribers17 August 2026 — 15,436 subscribers18 August 2026 — 15,440 subscribers19 August 2026 — 15,435 subscribers20 August 2026 — 15,436 subscribers21 August 2026 — 15,429 subscribers23 August 2026 — 15,421 subscribers24 August 2026 — 15,417 subscribers25 August 2026 — 15,411 subscribers27 August 2026 — 15,408 subscribers28 August 2026 — 15,409 subscribers28 August 2026 — 15,407 subscribers29 August 2026 — 15,405 subscribers30 August 2026 — 15,399 subscribers31 August 2026 — 15,392 subscribers4 September 2026 — 15,389 subscribers7 September 2026 — 15,380 subscribers10 September 2026 — 15,364 subscribers12 September 2026 — 15,354 subscribers14 September 2026 — 15,537 subscribers18 September 2026 — 15,532 subscribers30 September 2026 — 15,487 subscribers6 October 2026 — 15,466 subscribers10 October 2026 — 15,479 subscribers13 October 2026 — 15,474 subscribers14 October 2026 — 15,469 subscribers15 October 2026 — 15,475 subscribers18 October 2026 — 15,472 subscribers19 October 2026 — 15,468 subscribers20 October 2026 — 15,459 subscribers21 October 2026 — 15,463 subscribers22 October 2026 — 15,458 subscribers23 October 2026 — 15,457 subscribers24 October 2026 — 15,454 subscribers25 October 2026 — 15,445 subscribers26 October 2026 — 15,444 subscribers27 October 2026 — 15,440 subscribers28 October 2026 — 15,436 subscribers29 October 2026 — 15,435 subscribers30 October 2026 — 15,426 subscribers31 October 2026 — 15,425 subscribers1 November 2026 — 15,427 subscribers2 November 2026 — 15,423 subscribers3 November 2026 — 15,415 subscribers4 November 2026 — 15,408 subscribers5 November 2026 — 15,399 subscribers6 November 2026 — 15,393 subscribers7 November 2026 — 15,380 subscribers8 November 2026 — 15,378 subscribers10 November 2026 — 15,368 subscribers15,3686 August 202610 November 2026
59 measurements spanning 96 days, net -122. 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 15,327–15,564 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 59
Measured (UTC)SubscribersChange
10 Nov 2026, 11:4515,368-10
8 Nov 2026, 19:5015,378-2
7 Nov 2026, 04:0915,380-13
6 Nov 2026, 06:3615,393-6
5 Nov 2026, 06:2115,399-9
4 Nov 2026, 08:2515,408-7
3 Nov 2026, 06:5515,415-8
2 Nov 2026, 06:5615,423-4
1 Nov 2026, 08:5515,427+2
31 Oct 2026, 08:0615,425-1
30 Oct 2026, 06:2215,426-9
29 Oct 2026, 02:5115,435-1
28 Oct 2026, 00:4015,436-4
27 Oct 2026, 01:5615,440-4
26 Oct 2026, 03:4815,444-1
25 Oct 2026, 01:1715,445-9
24 Oct 2026, 04:0715,454-3
23 Oct 2026, 07:1715,457-1
22 Oct 2026, 09:0415,458-5
21 Oct 2026, 03:3815,463first reading

Engagement

116 posts held, back to 28 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 77 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.02%
avg views ÷ 15,368 subscribers
Avg views / post
465
30 posts measured
Reaction rate
1.37%
reactions ÷ views · ER floor
Posts in window
30
of 116 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.

What these figures were computed from
WindowRolling 30 days · latest post in window 11 November 2026
Posts held116 (28 July 2026 – 11 November 2026)
Views total13,946
Reactions total191
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 19:06 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
≈2,680
Videos
≈362
Links
≈2,160

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
5m 03s
Average length
20s

Measured directly from 15 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

885 reactions across 107 posts, in 13 distinct kinds. The most used accounts for 26.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤23226.2%
👍19121.6%
🔥13615.4%
🤣12914.6%
😁10411.8%
🤝576.44%
💯141.58%
✍101.13%
🤪50.565%
👌30.339%
😢20.226%
🤔10.113%
🤷‍♂10.113%

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 116 of the 116 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 972 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 116 most recent posts we hold, published 28 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.

Advertising

Ad load
6.03%
7 of 116 posts carry an ad marker
Regulatory tokens
7
posts carrying an erid · 7 distinct tokens
Median views · ads
438
over 7 measured posts
Median views · rest
489
over 109 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. They are printed side by side with the count behind each rather than as a ratio: an ad and an ordinary post are not otherwise matched — for topic, for length, for hour of day — so the gap between them is a description of two groups and not the effect of one being an ad.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2W5zFGDSxQA110 November 202610 November 2026
CQH36pWzJqCcH4y8GJvTMgCJc4qzH3XKY8gqfmMCX5EvEW19 November 20269 November 2026
CQH36pWzJqCcH4y8NGPVHYJpWQQh9mLsuGNQ7CXfgw4eFm125 August 202625 August 2026
CQH36pWzJqCcH4y8PfBvRjmq2PuxdznHUtCmjwdHXDVJJh117 August 202617 August 2026
CQH36pWzJqCcH4y8PxDmzzPssH8LQ4tYBEMXM34r29gcLx118 August 202618 August 2026
CQH36pWzJqCcH4y8Tk6sDLYFr7QGzGVLDKt9iD2Tqd5dns119 August 202619 August 2026
CQH36pWzJqE1dR7FkwZt7coUUzqqMBCXDZTd3TGF6zZ8yN118 August 202618 August 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 116 most recent posts we hold, published 28 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: 0 of 30 posts held from the last 30 days (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).

11 Nov 2026, 10:05 UTC207 views6 reactionsread 11 November 2026

Уже завтра разберём, почему одни пилоты ИИ в подборе превращаются в работающие решения, а другие так и не доходят до внедрения ✅ HRD и руководителям подбора — обязательно к просмотру! 📅 12 ноября, 13:00 МСК 👉 Зарегистрироваться на вебинар Реклама. ООО Кука Тех, ИНН: 9731150939.

🤝3❤2👍1

11 Nov 2026, 06:03 UTC267 views7 reactionsread 11 November 2026
Photo

Если вы единственный рекрутер в компании, профессионально расти бывает особенно сложно. Не всегда есть коллега, с которым можно сверить подходы, обсудить сложную вакансию или понять: действительно ли процесс найма выстроен правильно - или многое уже делается просто по привычке. Поэтому команда get experts создали открытый тренинг по рекрутингу, на который можно прийти самостоятельно, без корпоративной команды. На …

👍3❤2🔥2

11 Nov 2026, 04:34 UTC277 views4 reactionsread 11 November 2026

🟣 Чек-лист оптимизации HR-процессов #чек_листы_hr 1. Выберите процесс и определите цель ☐ Составьте список основных HR-процессов и соберите обратную связь у тех, кто в них участвует. ☐ Выберите, с какого процесса начать. Учтите частоту ошибок, задержки, трудозатраты и влияние на сотрудников и бизнес. ☐ Определите владельца процесса — того, кто будет координировать изменения и следить за результатом. ☐ Зафиксируйте и…

❤2✍1👍1

10 Nov 2026, 09:00 UTC318 views7 reactionsread 11 November 2026
Photo

👥 Большой аналитический дайджест Авито Работы: как находить сотрудников за пределами своего региона? Когда местных кандидатов недостаточно, работодателям приходится расширять географию поиска. Но где искать людей, готовых приехать, и как заинтересовать их предложением? Эти вопросы станут главной темой нового исследования Авито Работы о вахтовом найме. 12 ноября в 11:00 эксперты представят результаты аналитики и ра…

👍3❤2🤝2

10 Nov 2026, 06:02 UTC334 views7 reactionsread 11 November 2026
Advertisementerid 2W5zFGDSxQAPhoto

🎯 Как вовлечь сотрудников, а не просто провести очередную HR-активность? Компании инвестируют в обучение, корпоративную культуру и мотивацию. Но как сделать так, чтобы сотрудники действительно участвовали в жизни компании? MyGiftCard приглашает на бесплатный онлайн-митап «Программы признания сотрудников». 📅 12 ноября в 11:00 МСК | Онлайн Приглашенные спикеры: 🔹 «Северсталь»— как развивать инициативность и культуру …

❤4👍2🔥1

10 Nov 2026, 04:05 UTC320 views8 reactionsread 11 November 2026
Photo

Наш канал с мемами в Max✋

❤4🤣3🔥1

9 Nov 2026, 14:30 UTC391 views5 reactionsread 11 November 2026
File

File, posted without a caption

🤝3👍2

9 Nov 2026, 14:29 UTC400 views6 reactionsread 11 November 2026
Photo

👍 Краткий обзор рынка труда #hr_исследование от HeadHunter за октябрь 2026 г. 📌В октябре общий hh.индекс увеличился до 9 пунктов. За месяц спрос снизился во всех сферах, в то время как предложение продолжает расти. Среди наиболее востребованных специальностей самыми дефицитными остаются администраторы магазинов, продавцы, электрики, повара и врачи. 📌За последний месяц медианные предлагаемые и ожидаемые зарплаты пр…

👍4❤2

9 Nov 2026, 08:00 UTC399 views8 reactionsread 11 November 2026
Advertisementerid CQH36pWzJqCcH4y8GJvTMgCJc4qzH3XKY8gqfmMCX5EvEW

Не внедряйте ИИ в подбор персонала, пока не узнаете, как избежать самых дорогих ошибок Компании тратят бюджеты на ИИ, запускают пилоты, тестируют десятки инструментов, а потом возвращаются к старым процессам Почему так происходит? На бесплатном вебинаре Qooqa разберём реальные ошибки внедрения ИИ в рекрутинг и расскажем, как не повторить их в своей компании В основе опыт более 500 пилотов, включая проекты Hoff, О…

❤3👍3🤝2

9 Nov 2026, 04:05 UTC399 views7 reactionsread 11 November 2026
Video

Наш канал с мемами в Max✋

🤣7

7 Nov 2026, 06:05 UTC457 views5 reactionsread 11 November 2026
Photo

📚 #HR_книга "Искусство возможности". Авторы – Розамунда Стоун Зандер, Бенджамин Зандер Книга предлагает необычный взгляд на карьеру, лидерство и развитие людей: вместо постоянной борьбы за ограниченные ресурсы авторы предлагают искать новые возможности и расширять пространство решений. Многие рабочие ситуации меняются, если перестать смотреть на них только через схему «победитель — проигравший». Фишки книги с позиц…

❤4👍1

6 Nov 2026, 10:45 UTC467 views4 reactionsread 11 November 2026
Photo

5 способов провалить внедрение ИИ в найм. Разбираем реальные ошибки компаний Почему одни компании успешно внедряют ИИ в рекрутмент, а другие тратят месяцы на пилоты, которые так и не доходят до масштабирования? За более чем 500 пилотов Qooqa мы увидели, какие ошибки чаще всего мешают компаниям получить результат от внедрения ИИ. На бесплатном вебинаре разберём 5 типичных ошибок: ❌ Подключить сразу весь отдел. Вме…

👍2❤1🔥1

Showing the 12 most recent of 116 posts we hold for @webinarforhr. 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.

Posts recorded as deleted after publishing

We recorded 8 posts on @webinarforhr as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
10 August 2026
Most recent seen missing
10 November 2026
Median time before seen missing
3 days
Seen missing in the last 30 days
2

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

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 5 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.

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.

Пригодится! 🍎 Библиотека для HR
@savetoreadlater · 22,065
Telegram ranks this channel #7 of 100 here — alongside 99 others — read 21 September 2026
topcareer
@topcareerschool · 23,171
Telegram ranks this channel #10 of 100 here — alongside 99 others — read 18 September 2026
HR-аналитика
@hranalitycs · 34,228
Telegram ranks this channel #13 of 100 here — alongside 99 others — read 3 September 2026
Управление персоналом | hr, карьера, кадры
@secrets_hr · 21,770
Telegram ranks this channel #14 of 93 here — alongside 92 others — read 22 September 2026
Эйчаргейт| Перезагрузка
@hrgate · 55,184
Telegram ranks this channel #14 of 93 here — alongside 92 others — read 28 August 2026
hh.ru
@hh_ru_official · 89,725
Telegram ranks this channel #22 of 83 here — alongside 82 others — read 10 September 2026
Академия Эдюсон (Eduson)
@edusondaily · 20,084
Telegram ranks this channel #26 of 96 here — alongside 95 others — read 28 September 2026
Авито Работа
@avito_jobs · 21,225
Telegram ranks this channel #28 of 97 here — alongside 96 others — read 23 September 2026
HR[хаб]вакансии
@hrhubvacancy · 22,918
Telegram ranks this channel #28 of 100 here — alongside 99 others — read 20 September 2026
Кадровику
@kadroviku · 44,899
Telegram ranks this channel #28 of 93 here — alongside 92 others — read 27 August 2026
REFORUM
@reforum · 18,724
Telegram ranks this channel #34 of 100 here — alongside 99 others — read 5 October 2026
Альфа-Курс
@alfa_course · 20,366
Telegram ranks this channel #52 of 88 here — alongside 87 others — read 26 September 2026
Полезное для Кадровика
@trud_krut · 23,345
Telegram ranks this channel #55 of 96 here — alongside 95 others — read 18 September 2026
Рабочие лайфхаки: секреты и советы
@lifehackoftheday · 25,876
Telegram ranks this channel #59 of 97 here — alongside 96 others — read 13 September 2026
Зайдите в кадры!
@kadrovoedelojournal · 30,611
Telegram ranks this channel #63 of 100 here — alongside 99 others — read 6 September 2026
WTF_HR
@WTF_HR · 19,211
Telegram ranks this channel #70 of 99 here — alongside 98 others — read 2 October 2026
Живое обучение
@prolearning · 20,607
Telegram ranks this channel #76 of 100 here — alongside 99 others — read 26 September 2026
Профайлинг, нейротехнологии и детекции лжи
@ProProfiIing · 23,155
Telegram ranks this channel #80 of 87 here — alongside 86 others — read 19 September 2026

This channel appears in 18 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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“HR-вебинары и технологии” (@webinarforhr), 15,368 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/webinarforhr.

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.