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Telegram profile photo for HR people

Channel

HR people

@HRpeople

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

10,789subscribers

-131 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001333903376
TypeChannel
Username@HRpeople
DescriptionРассказываем, как улучшить опыт сотрудников и репутацию бренда работодателя. И делаем: снимаем лишние задачи с многорукого эйчара. Мы – это LightsON, диджитал-агентство полного цикла. Наши проекты: https://clck.ru/33JZ8Z Связь: @lightsonpartnershipbot
CreatedBetween 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live7 November 2026
Measurements held56
Confirmed unchanged2 times, most recently 7 November 2026
On Telegramt.me/HRpeople

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 43% 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.

Growth

10,71310,92010,816.57 August 2026 — 10,920 subscribers7 August 2026 — 10,919 subscribers8 August 2026 — 10,917 subscribers9 August 2026 — 10,911 subscribers10 August 2026 — 10,902 subscribers11 August 2026 — 10,892 subscribers12 August 2026 — 10,885 subscribers13 August 2026 — 10,874 subscribers15 August 2026 — 10,877 subscribers16 August 2026 — 10,872 subscribers17 August 2026 — 10,869 subscribers18 August 2026 — 10,866 subscribers19 August 2026 — 10,860 subscribers20 August 2026 — 10,857 subscribers21 August 2026 — 10,849 subscribers23 August 2026 — 10,840 subscribers24 August 2026 — 10,831 subscribers25 August 2026 — 10,827 subscribers27 August 2026 — 10,822 subscribers28 August 2026 — 10,818 subscribers29 August 2026 — 10,813 subscribers30 August 2026 — 10,812 subscribers31 August 2026 — 10,807 subscribers1 September 2026 — 10,803 subscribers2 September 2026 — 10,796 subscribers3 September 2026 — 10,798 subscribers4 September 2026 — 10,793 subscribers7 September 2026 — 10,783 subscribers10 September 2026 — 10,773 subscribers12 September 2026 — 10,790 subscribers14 September 2026 — 10,791 subscribers16 September 2026 — 10,782 subscribers18 September 2026 — 10,775 subscribers30 September 2026 — 10,729 subscribers5 October 2026 — 10,713 subscribers10 October 2026 — 10,758 subscribers13 October 2026 — 10,759 subscribers15 October 2026 — 10,760 subscribers16 October 2026 — 10,755 subscribers18 October 2026 — 10,753 subscribers21 October 2026 — 10,750 subscribers22 October 2026 — 10,745 subscribers23 October 2026 — 10,737 subscribers24 October 2026 — 10,736 subscribers25 October 2026 — 10,733 subscribers26 October 2026 — 10,731 subscribers27 October 2026 — 10,729 subscribers28 October 2026 — 10,732 subscribers29 October 2026 — 10,792 subscribers30 October 2026 — 10,808 subscribers1 November 2026 — 10,813 subscribers2 November 2026 — 10,808 subscribers3 November 2026 — 10,805 subscribers4 November 2026 — 10,803 subscribers5 November 2026 — 10,801 subscribers6 November 2026 — 10,789 subscribers10,7897 August 20266 November 2026
56 measurements spanning 91 days, net -131. 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 10,682–10,951 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 56
Measured (UTC)SubscribersChange
6 Nov 2026, 11:0810,789-12
5 Nov 2026, 09:1610,801-2
4 Nov 2026, 11:3610,803-2
3 Nov 2026, 11:2810,805-3
2 Nov 2026, 11:3910,808-5
1 Nov 2026, 10:5910,813+5
30 Oct 2026, 10:0810,808+16
29 Oct 2026, 12:3510,792+60
28 Oct 2026, 09:2910,732+3
27 Oct 2026, 12:1610,729-2
26 Oct 2026, 09:4010,731-2
25 Oct 2026, 13:0410,733-3
24 Oct 2026, 11:1610,736-1
23 Oct 2026, 10:4610,737-8
22 Oct 2026, 08:3510,745-5
21 Oct 2026, 02:4910,750-3
18 Oct 2026, 00:4510,753-2
16 Oct 2026, 02:3810,755-5
15 Oct 2026, 01:1110,760+1
13 Oct 2026, 18:0710,759first reading

Engagement

32 posts held, back to 22 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 50 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.13%
avg views ÷ 10,789 subscribers
Avg views / post
446
13 posts measured
Reaction rate
3.02%
reactions ÷ views · ER floor
Posts in window
13
of 32 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 6 November 2026
Posts held32 (22 July 2026 – 6 November 2026)
Views total5,798
Reactions total175
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Nov 2026, 21:01 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
≈1,480
Videos
≈72
Links
≈729

Lifetime counters from Telegram’s own channel header, read 7 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.

Reaction mix

307 reactions across 31 posts, in 6 distinct kinds. The most used accounts for 31.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤‍🔥9731.6%
💯8327.0%
🙏7424.1%
🤝3712.1%
🦄144.56%
😎20.651%

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 31 of the 32 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 307 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 32 most recent posts we hold, published 22 July 2026 to 6 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.

Recent posts

Telegram’s own ‘edited’ marker: 2 of 13 posts held from the last 30 days (15.4%) 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).

6 Nov 2026, 06:04 UTC158 views8 reactionsread 7 November 2026
Photo

Определяем форму ваших навыков #развитие@HRpeople #тренды@HRpeople Часть 4 Вы уже знаете о целых трёх профессиональных профилях: 🔘 I-shaped – глубокие знания в одной области 🔘 T-shaped – сильная специализация и понимание смежных сфер 🔘 Pi-shaped – две специализации, которые помогают решать задачи на стыке направлений И давайте не останавливаться на этом! Сегодня – Comb-shaped. Здесь сильных специализаций уже неск…

🤝4❤‍🔥2💯2

5 Nov 2026, 06:03 UTC236 views11 reactionsread 7 November 2026
Photo

Кто-то ведь должен создавать атмосферу #юмор@HRpeople Особенно когда остальные обсуждают, как сократить расходы на её создание... 💡 LightsON – диджитал-агентство для HR Telegram🔵MAX

💯6❤‍🔥3🙏2

3 Nov 2026, 07:04 UTC304 views13 reactionsread 7 November 2026
Photo

Как поздравить команду с Новым годом #спецпосты@HRpeople До праздничной суеты ещё есть время – самое подходящее, чтобы продумать поздравления для команды. Открытка – небольшой, но приятный знак внимания. Повод поблагодарить коллег за совместную работу и пожелать чего-то большего, чем успехов в следующем году. В карточках – примеры новогодних открыток, которые мы создавали для разных клиентов. Листайте и вдохновляй…

❤‍🔥5🤝4🙏4

30 Oct 2026, 06:04 UTC389 views15 reactionsread 7 November 2026
Photo

Эти существа не числятся в штате, но работают у вас #спецпосты@HRpeople Среди архивных документов был обнаружен бестиарий с описанием загадочных существ, обитающих в корпоративном мире. Одни скрываются в рабочих чатах, другие выходят на охоту ближе к дедлайну. Достоверность записей пока не подтверждена, однако HR из разных компаний описывают удивительно похожие случаи! Читайте с осторожностью. Не пытайтесь приручит…

❤‍🔥9💯4🦄2

29 Oct 2026, 13:22 UTC317 views10 reactionsread 7 November 2026
Photo

Определяем форму ваших навыков #развитие@HRpeople #тренды@HRpeople Часть 3 Итак, мы уже разобрали два профиля: ⚫️ I-shaped – качественные знания в одной области ⚫️ T-shaped – специализация в одной области и понимании смежных А что, если смежное направление становится ещё одной вашей сильной стороной? Получается Pi-shaped. В букве Π: ➡️ две вертикальные линии обозначают глубокую специализацию в двух областях ➡️ …

🙏4❤‍🔥3💯3

27 Oct 2026, 06:05 UTC395 views10 reactionsread 7 November 2026
Photo

А начиналось всё с безобидного: «Не стесняйся задавать вопросы» #юмор@HRpeople 💡 LightsON – диджитал-агентство для HR Telegram🔵MAX

💯4❤‍🔥3🙏3

23 Oct 2026, 09:06 UTC494 views10 reactionsread 7 November 2026
Photo

Определяем форму ваших навыков #развитие@HRpeople #тренды@HRpeople Часть 2 В первой части серии мы говорили с вами про I-shaped – профиль с глубокой экспертностью в одной области. Двигаемся дальше! Глубоко разбираться в своём деле – сильная опора. А что, если добавить к ней понимание того, как работают коллеги и что влияет на общий результат? Продолжаем серию о профессиональных профилях. Сегодня T-shaped. В букв…

💯5❤‍🔥3🙏2

22 Oct 2026, 08:04 UTC415 views8 reactionsread 5 November 2026
Photo

Как говорится, по труду и награда #юмор@HRpeople Но никто не уточнял, что награда будет финансовой... 💡 LightsON – диджитал-агентство для HR Telegram🔵MAX

💯4❤‍🔥2🙏2

19 Oct 2026, 05:02 UTC504 views12 reactionsread 4 November 2026
Video

Повезло с руководителем – сомнительный комплимент онбордингу #онбординг@HRpeople Два новичка выходят в одну компанию. Первому объясняют задачи, знакомят с командой и рассказывают, кого можно дёрнуть, если всё зависло. Второму отправляют почтой папку документов. Формально адаптация есть у обоих. На самом деле они будто устроились в разные компании… Пока онбординг держится на памяти, свободном времени и внимательнос…

❤‍🔥7🙏3💯2

16 Oct 2026, 06:03 UTC465 views23 reactionsread 3 November 2026
Photo

Определяем форму ваших навыков. #развитие@HRpeople #тренды@HRpeople Часть 1 А вы знали, что можно наглядно передать глубину знаний, широту опыта, способности к взаимодействию – и их синергию. Для этого есть особая сетка маркеров профессиональных навыков. Сначала мини-обзор: ➡️ I-shaped. Означает глубокие знания в одной области. ➡️ T-shaped. Если есть одна ключевая специализация, но ещё и понимание смежных сфер. …

❤‍🔥8🙏6🦄5💯3🤝1

15 Oct 2026, 06:03 UTC575 views27 reactionsread 3 November 2026
Photo

Просчитался, но где... #юмор@HRpeople А чтобы не гадать о состоянии сотрудников, используйте наш бесплатный гайд по измерению вовлеченности. 💡 LightsON – диджитал-агентство для HR Telegram🔵MAX

❤‍🔥7💯7🤝5🦄5🙏2😎1

13 Oct 2026, 05:02 UTC759 views18 reactionsread 3 November 2026
Video

Почему после одних созвонов хочется работать, а после других – закрыть ноутбук? #исследования@HRpeople Вы нажимаете: «Завершить созвон». Открываете рабочий документ – но мысленно продолжаете спорить с коллегой. Или пытаетесь понять, зачем вообще вы собирались… 📌 У этого состояния есть вполне конкретное название – Meeting Hangover или «похмелье после встречи». Раздражение остаётся с вами и мешает включиться в работу…

💯7🤝5🙏3🦄2😎1

Showing the 12 most recent of 32 posts we hold for @HRpeople. 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 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.

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.

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.

topcareer
@topcareerschool · 23,207
Telegram ranks this channel #1 of 100 here — alongside 99 others — read 18 September 2026
Авито Работа
@avito_jobs · 21,268
Telegram ranks this channel #9 of 97 here — alongside 96 others — read 23 September 2026
Пригодится! 🍎 Библиотека для HR
@savetoreadlater · 22,092
Telegram ranks this channel #9 of 100 here — alongside 99 others — read 21 September 2026
The Future Of Work
@thefutureofwork · 21,123
Telegram ranks this channel #21 of 99 here — alongside 98 others — read 26 September 2026
Управление персоналом | hr, карьера, кадры
@secrets_hr · 21,850
Telegram ranks this channel #26 of 93 here — alongside 92 others — read 22 September 2026
HR-аналитика
@hranalitycs · 34,232
Telegram ranks this channel #26 of 100 here — alongside 99 others — read 3 September 2026
Альфа-Курс
@alfa_course · 20,389
Telegram ranks this channel #49 of 88 here — alongside 87 others — read 26 September 2026
Зайдите в кадры!
@kadrovoedelojournal · 30,648
Telegram ranks this channel #50 of 100 here — alongside 99 others — read 6 September 2026
WTF_HR
@WTF_HR · 19,219
Telegram ranks this channel #59 of 99 here — alongside 98 others — read 2 October 2026
HR[хаб]вакансии
@hrhubvacancy · 22,862
Telegram ranks this channel #60 of 100 here — alongside 99 others — read 20 September 2026
Живое обучение
@prolearning · 20,622
Telegram ranks this channel #61 of 100 here — alongside 99 others — read 26 September 2026
Soft Skill | Навыки
@iAmbitious · 125,646
Telegram ranks this channel #63 of 95 here — alongside 94 others — read 13 August 2026
Магия Excel
@lemur_excel · 49,848
Telegram ranks this channel #64 of 95 here — alongside 94 others — read 25 August 2026
Эйчаргейт| Перезагрузка
@hrgate · 56,959
Telegram ranks this channel #65 of 93 here — alongside 92 others — read 28 August 2026
Диссертация | Наталья Киреева | О научных статьях и диссертациях
@kireeva_science · 21,161
Telegram ranks this channel #70 of 96 here — alongside 95 others — read 25 September 2026
Охрана труда
@ohranatruda_official · 24,895
Telegram ranks this channel #84 of 95 here — alongside 94 others — read 14 September 2026

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.

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 6 November 2026 — this entry's latest reading, not the date you are reading this.

“HR people” (@HRpeople), 10,789 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/HRpeople.

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.