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Telegram profile photo for HR Club

Channel

HR Club

@shl_hr_club

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

9,962subscribers

-161 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-1001337365511
TypeChannel
Username@shl_hr_club
Created13 March 2018 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live25 September 2026
Measurements held30
Confirmed unchanged1 time, most recently 25 September 2026
On Telegramt.me/shl_hr_club

Topic

Other / unclassifiable — 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 62% 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

9,95910,13010,044.56 August 2026 — 10,123 subscribers7 August 2026 — 10,125 subscribers8 August 2026 — 10,130 subscribers9 August 2026 — 10,129 subscribers10 August 2026 — 10,122 subscribers11 August 2026 — 10,108 subscribers12 August 2026 — 10,103 subscribers13 August 2026 — 10,095 subscribers14 August 2026 — 10,090 subscribers16 August 2026 — 10,083 subscribers18 August 2026 — 10,081 subscribers19 August 2026 — 10,076 subscribers20 August 2026 — 10,075 subscribers21 August 2026 — 10,069 subscribers22 August 2026 — 10,066 subscribers24 August 2026 — 10,059 subscribers26 August 2026 — 10,052 subscribers27 August 2026 — 10,045 subscribers28 August 2026 — 10,044 subscribers29 August 2026 — 10,036 subscribers30 August 2026 — 10,031 subscribers31 August 2026 — 10,028 subscribers1 September 2026 — 10,017 subscribers2 September 2026 — 10,014 subscribers3 September 2026 — 10,011 subscribers6 September 2026 — 10,006 subscribers9 September 2026 — 9,987 subscribers12 September 2026 — 9,971 subscribers16 September 2026 — 9,959 subscribers25 September 2026 — 9,962 subscribers9,9626 August 202625 September 2026
30 measurements spanning 50 days, net -161. 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 9,933–10,156 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 30
Measured (UTC)SubscribersChange
25 Sept 2026, 10:019,962+3
16 Sept 2026, 19:169,959-12
12 Sept 2026, 20:409,971-16
9 Sept 2026, 08:369,987-19
6 Sept 2026, 01:4010,006-5
3 Sept 2026, 18:2210,011-3
2 Sept 2026, 10:2410,014-3
1 Sept 2026, 11:3510,017-11
31 Aug 2026, 12:0310,028-3
30 Aug 2026, 08:2610,031-5
29 Aug 2026, 05:4710,036-8
28 Aug 2026, 08:1310,044-1
27 Aug 2026, 05:1310,045-7
26 Aug 2026, 03:2910,052-7
24 Aug 2026, 04:3710,059-7
22 Aug 2026, 13:3410,066-3
21 Aug 2026, 06:0310,069-6
20 Aug 2026, 09:3610,075-1
19 Aug 2026, 09:0210,076-5
18 Aug 2026, 11:2310,081first reading

Engagement

43 posts held, back to 23 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 37 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
1.15%
avg views ÷ 9,962 subscribers
Avg views / post
115
3 posts measured
Reaction rate
4.30%
reactions ÷ views · ER floor
Posts in window
3
of 43 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 2 of 3 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 28 August 2026
Posts held43 (23 July 2026 – 28 August 2026)
Views total344
Reactions total11
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Aug 2026, 04:16 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

Video runtime
3m 23s
Average length
1m 42s

Measured directly from 2 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

180 reactions across 42 posts, in 10 distinct kinds. The most used accounts for 27.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
😁5027.8%
❤4625.6%
👍3318.3%
💯2011.1%
🔥158.33%
⚡73.89%
🤣52.78%
👏21.11%
👌10.556%
🙈10.556%

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 42 of the 43 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 180 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 43 most recent posts we hold, published 23 July 2026 to 28 August 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.

Recent posts

28 Aug 2026, 13:05 UTC88 viewsread 29 August 2026
Photo

✨ 3 сентября в 11:00 состоится встреча в рамках проекта HROOM. В гости к «Бизнес Психологам» придёт Павел Клепинин - лидер крупнейшего в России некоммерческого сообщества цифровых управленцев «я-ИТ-ы». Павел более 25 лет работает в ИТ и «цифре». Отвечал за цифровую трансформацию в бизнес-школе Сколково и Росатоме, руководил ИТ в СИБУРе, НИПИ и Группе ГАЗ. Выиграл конкурс «Лидеры России» и закончил EMBA Kingston. С…

28 Aug 2026, 09:05 UTC115 views8 reactionsread 29 August 2026
Video

Это я пытаюсь успеть сделать все задачи и немного пожить для себя... #shl_memes

😁6💯2

27 Aug 2026, 09:31 UTC141 views3 reactionsread 29 August 2026
Photo

На семинаре «Опросники: склонности, мотивация, потенциал» вы освоите профессиональные личностные и мотивационные опросники для решения практических HR-задач. Вы сможете: ✔️ соотносить особенности сотрудника с требованиями роли и задачами бизнеса ✔️ оценивать готовность к развитию, более сложным задачам и расширению ответственности ✔️ определять условия, которые усиливают или снижают продуктивность ✔️ выявлять возможн…

👍3

26 Aug 2026, 09:02 UTC145 views4 reactionsread 29 August 2026
Photo

«Как повысить точность оценки кандидатов с помощью валидизационного интервью» Бюджеты на подбор сокращаются, а цена ошибки найма может достигать 200% годового дохода сотрудника. Как снизить этот риск без длительной и дорогостоящей оценки? На вебинаре разберём метод, который позволяет за 30 минут проверить гипотезы из отчёта по компетенциям. Для этого мы исследуем реальные поведенческие примеры кандидата, чтобы подт…

👍4

25 Aug 2026, 13:20 UTC151 views1 reactionsread 29 August 2026
Photo

Почему одних повышают, а другие годами ждут? Мы собрали экспертов по HR и карьере: рынок труда, зарплаты, собеседования, профессиональный рост. ❤️Добавить каналы -ЖМИ⏮️

👍1

25 Aug 2026, 09:33 UTC158 views1 reactionsread 29 August 2026
Photo

Главный вопрос к ИИ в HR Сегодня рынок активно ищет решения, которые обещают: ▪️ оценить кандидата ▪️ провести интервью ▪️ определить потенциал ▪️ сформировать рекомендации по развитию Звучит убедительно. Но есть один вопрос, который мы всегда задаём поставщикам подобных решений: на основании чего система пришла именно к такому выводу? ❗️И именно здесь начинается самое интересное. Если нельзя объяснить логику оце…

👍1

24 Aug 2026, 10:32 UTC173 views2 reactionsread 29 August 2026
Photo

Продолжаем рубрику, в которой Рубен Арутюнян, наш IT-директор, анализирует актуальную повестку в сфере нейросетей. «Отличное исследование от Яков и Партнеры. Много букв поставлены в интересном порядке. Есть умные термины вроде "каскада затухания". Проблема исследуется со всех сторон, даже не всё сваливается на пользователей и честно говорится о том, что модельки несут чушь и эта чушь накапливается, как снежный ком. …

🔥2

24 Aug 2026, 08:33 UTC161 views2 reactionsread 29 August 2026
Photo

😳 Выгодный старт с SHLTOOLS: скидка 50% для новых клиентов* Точные кадровые решения начинаются с качественной оценки. До 31 октября 2026 года новые клиенты компании «Бизнес Психологи» могут подключиться к платформе SHLTOOLS и приобрести электронные единицы для оценки персонала со скидкой 50%. Больше возможностей при том же бюджете SHLTOOLS — собственная платформа компании «Бизнес Психологи», включённая в реестр рос…

🔥2

21 Aug 2026, 09:34 UTC190 views3 reactionsread 29 August 2026
Video

🎬 Сегодня в видео показываем, как ориентироваться в каталоге инструментов и отчётов на платформе SHLTOOLS 4. ⚙️ Ещё больше полезных материалов о системе - в нашем Telegram-канале SHLTOOLS. 🌟 Мы в MAX #shl_expert #shl_tools_DAT #shltools_news

❤3

21 Aug 2026, 09:00 UTC203 views9 reactionsread 29 August 2026
Photo

С пятницей, коллеги! #shl_memes

😁7👌1🙈1

20 Aug 2026, 10:15 UTC204 views3 reactionsread 29 August 2026
Photo

📢 Дайджест обновлений за полгода: итоги вебинара Как сделать оценку точнее, полезнее для бизнеса и удобнее для HR? В новой статье рассказали об изменениях на платформе SHLTOOLS и показали, как эти обновления работают в реальных проектах. 📖 Читайте полную версию - на сайте 🌟 Мы в МАХ #shl_expert

❤3

Showing the 12 most recent of 43 posts we hold for @shl_hr_club. 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.

Mentions

Named by 2 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 · 22,278
Telegram ranks this channel #37 of 100 here — alongside 99 others — read 21 September 2026
HR-аналитика
@hranalitycs · 34,144
Telegram ranks this channel #43 of 100 here — alongside 99 others — read 3 September 2026
topcareer
@topcareerschool · 23,471
Telegram ranks this channel #44 of 100 here — alongside 99 others — read 18 September 2026
Эйчаргейт| Перезагрузка
@hrgate · 54,297
Telegram ranks this channel #48 of 93 here — alongside 92 others — read 28 August 2026
HR[хаб]вакансии
@hrhubvacancy · 22,415
Telegram ranks this channel #61 of 100 here — alongside 99 others — read 20 September 2026
Полезное для Кадровика
@trud_krut · 23,539
Telegram ranks this channel #91 of 96 here — alongside 95 others — read 18 September 2026
СберУниверситет
@sber_university · 24,091
Telegram ranks this channel #93 of 100 here — alongside 99 others — read 17 September 2026

This channel appears in 7 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 25 September 2026 — this entry's latest reading, not the date you are reading this.

“HR Club” (@shl_hr_club), 9,962 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/shl_hr_club.

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.