Внезапно, но можно было предугадать #юмор@HRpeople А если составлять заявку, используя наш комплекс по подготовке к поиску кандидатов, то у вас с первого раза все пройдёт как надо 👌 💡 LightsON – диджитал-агентство для HR Telegram 🔵 MAX
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Channel
@HRpeople
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
10,877subscribers
-43 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001333903376 |
|---|---|
| Type | Channel |
| Username | @HRpeople |
| Description | Рассказываем, 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 |
| Created | Between 1 March 2018 and 31 July 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 15 August 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 15 August 2026 |
| On Telegram | t.me/HRpeople |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 15 Aug 2026, 01:36 | 10,877 | +3 |
| 13 Aug 2026, 15:38 | 10,874 | -11 |
| 12 Aug 2026, 11:45 | 10,885 | -7 |
| 11 Aug 2026, 08:22 | 10,892 | -10 |
| 10 Aug 2026, 09:32 | 10,902 | -9 |
| 9 Aug 2026, 09:13 | 10,911 | -6 |
| 8 Aug 2026, 11:42 | 10,917 | -2 |
| 7 Aug 2026, 14:16 | 10,919 | -1 |
| 7 Aug 2026, 07:47 | 10,920 | first reading |
9 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 17 pagesof Telegram’s post history, 20 posts per page.
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 8 of 9 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 13 August 2026 |
|---|---|
| Posts held | 9 (22 July 2026 – 13 August 2026) |
| Views total | 3,856 |
| Reactions total | 57 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 15 Aug 2026, 05:16 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.
Lifetime counters from Telegram’s own channel header, read 15 August 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.
57 reactions across 8 posts, in 4 distinct kinds. The most used accounts for 29.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 💯 | 17 | 29.8% | |
| 🙏 | 17 | 29.8% | |
| ❤🔥 | 16 | 28.1% | |
| 🤝 | 7 | 12.3% |
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 8 of the 9 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 57reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 9 most recent posts we hold, published 22 July 2026 to 13 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.
Внезапно, но можно было предугадать #юмор@HRpeople А если составлять заявку, используя наш комплекс по подготовке к поиску кандидатов, то у вас с первого раза все пройдёт как надо 👌 💡 LightsON – диджитал-агентство для HR Telegram 🔵 MAX
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9 вдохновляющих HR-проектов для крупных компаний #кейсы@HRpeople Задачи у эйчара очень разные: где-то нужно быстро адаптировать новичков, где-то – вовлечь сотрудников в обучение, объяснить карьерные треки, перезапустить ценности или привлечь стажёров. Мы собрали свои кейсы по главным направлениям, которые показывают: даже витиеватые процессы можно превратить в понятный и захватывающий диджитал-опыт. Каждый проект в…
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Как оценить, соответствует ли кандидат корпоративным ценностям #корпкультура@HRpeople #рекрутинг@HRpeople Чем ближе специалистам принципы работы в компании, тем они успешнее и счастливее. (Вроде Эйчарфуций говорил). Только совпадение ценностей сложно оценить, спрашивая: Как вам ответственность, откликается? Кандидат не поймёт, что именно вы имеете в виду под «ответственностью», и не сможет дать качественный ответ.…
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Отпуск прошёл – а усталость никуда не делась… в чём же дело? Скажите, откликается ли вам такое: 🟦 Перед отпуском тревожитесь, стараетесь закрыть как можно больше задач и не можете спокойно и уверенно передать дела? 🟦 В отпуске вспоминаете о работе, переживаете из-за дедлайнов, смотрите или отвечаете в рабочих чатах и на звонки коллег? 🟦 После отпуска всё равно чувствуете себя выжатым, не настроенным на работу? К со…
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Вовлечение в непопулярные корпоративные идеи 💼💼 #кейсы@HRpeople #корпкультура@HRpeople Знакомо же: у компании есть Большая Цель или не-менее-важная-локальная-иницатива (🤓), которую сотрудники на данный момент не разделяют. Или не поняли до конца её смысл. То же произошло с HEINEKEN, искавшими поддержку сотрудников, чтобы стать брендом № 1 в России по продажам безалкогольного пива. Но мы смогли переломить все стере…
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Избежать кадрового голода, убрав всего одно предубеждение #рекрутинг@HRpeople Часто в компании кадровый голод появляется из-за стратегии найма, не отвечающей реалиям рынка. А именно: ⏩ молодых не рассматривают вовсе ⏩ опытных на всех не хватает Специалисты только после вузов и джуны не могут пробиться из-за требований к опыту (по сути, к записям в трудовой). Но ведь нужное у них есть. 🔘 Актуальные знания. Студенты …
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И это благодаря вам, представляете? #юмор@HRpeople С нашей помощью у эйчаров и новичков всё больше поводов для заслуженной похвалы 🥰 💡 LightsON – диджитал-агентство для HR Telegram 🔵 MAX
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Рынок изменился: сегодня недостаточно «хорошо работать». Растут те, кто умеет управлять собой, людьми и своей карьерой. Остальные – годами сидят на одном месте и ждут, что их «заметят». Мы собрали каналы, которые читают руководители, HRD и те, кто вырос из линейного специалиста в топы. Что внутри подборки: 🟦 Как перестать быть «удобным» сотрудником и начать расти в должности и деньгах 🟦 Ошибки руководителей, котор…
Как выбрать формат Welcome Book #онбординг@HRpeople #WelcomeBook@HRpeople #инструменты@HRpeople Часть 2 В первой части мы разобрали форматы, которые помогают новичку быстро познакомиться с компанией: презентации, сайты, игры. Но Welcome Book не всегда должен быть большим проектом. Иногда лучше работает серия касаний: сообщение в мессенджере, приветственное письмо, короткое видео, онлайн-курс или печатная брошюра. …
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Showing the 9 most recent of 9 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.
Citation-graph rank — 643,859 of 1,350,102entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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.
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.
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.
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.
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 15 August 2026 — this entry's latest reading, not the date you are reading this.
“HR people” (@HRpeople), 10,877 subscribers as measured 15 August 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.