От @stanislava_PM #оказываю_услуги #онлайн #вся_Россия #подбор_специалистов бизнес ассистентов Здравствуйте, я Станислава, частный рекрутер. 8 лет занимаюсь точечным подбором персонала. Работала в кадровом агентстве, онлайн школах, it компании в различных сферах. Сейчас помогаю предпринимателям в поиске ассистентов различного уровня. Помогу: - составить профиль нужного человека - определить и составить список за…

Channel
HR-услуги
@hr_uslugi
On this record: Growth · Engagement · Reactions · Advertising · Posts · Citations · Handles named that no longer answer · Cite this entry
3,769subscribers
+27 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1001815450253 |
|---|---|
| Type | Channel |
| Username | @hr_uslugi |
| Created | Between 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/hr_uslugi |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 09:29 | 3,769 | +23 |
| 10 Aug 2026, 17:32 | 3,746 | +5 |
| 7 Aug 2026, 16:59 | 3,741 | -1 |
| 7 Aug 2026, 09:01 | 3,742 | no change |
| 7 Aug 2026, 08:53 | 3,742 | first reading |
Engagement
21 posts held, back to 30 June 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 4 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 14.2%
- avg views ÷ 3,769 subscribers
- Avg views / post
- 537
- 14 posts measured
- Reaction rate
- 0.916%
- reactions ÷ views · ER floor
- Posts in window
- 14
- of 21 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 5 of 14 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 21 (30 June 2026 – 7 August 2026) |
| Views total | 7,514 |
| Reactions total | 18 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Aug 2026, 06:15 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.
Reaction mix
28 reactions across 9 posts, in 4 distinct kinds. The most used accounts for 32.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 9 | 32.1% | |
| 🔥 | 9 | 32.1% | |
| ❤ | 5 | 17.9% | |
| 🤝 | 5 | 17.9% |
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 10 of the 21 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 28reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 21 most recent posts we hold, published 30 June 2026 to 7 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.
Advertising
- Ad load
- 4.76%
- 1 of 21 posts carry an ad marker
- Regulatory tokens
- 1
- posts carrying an erid · 1 distinct token
- Median views · ads
- 259
- over 1 measured post
- Median views · rest
- 680
- over 20 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.
| erid | Posts | First seen | Last seen |
|---|---|---|---|
| CQH36pWzJqCcH4y8Gqo7J8CoVmiL7AqDeqptHHq4ioyGwQ | 1 | 7 August 2026 | 7 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 21 most recent posts we hold, published 30 June 2026 to 7 August 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
🎙Приглашаем на HR-стендап! Москва, 18 августа, вечер честного юмора для тех, кто нанимает, увольняет, онбордит, трансформирует и всё ещё верит в soft skills. Все собранные средства пойдут на помощь котикам котокафе на Таганке.🐈 📆18 августа Сбор гостей — с 19:00, старт стендапа — в 20:15 📍Котокафе "Котики на Таганке" Товарищеский пер., 4с5 🎙8 спикеров индустрии + нетворкинг + пушистые резиденты 🎫Билеты от 2490 до 50…
🔥3❤2👍2
❗️Актуальные исследования на нашем канале Обновили подборку для вас ✔️ 🟠Исследование лидерства в российском бизнесе 🟠Трансформация функции обучения и развития в новых реалиях 🟠Насколько важно развивать бренд работодателя сегодня? 🟠Перспективы развития искусственного интеллекта. Восприятие молодежи России 🟠Исследование программ долгосрочной мотивации 🟠Корпоративные ценности российского бизнеса: задачи, смыслы, инстр…
👍2🔥2🤝2
от @m198107 #оказываю_услуги #онлайн #консалтинг #kpi системы мотивации организационный дизайн Добры день! Я Мария Третьякова. Более 20 лет в сфере hr (более 5 лет в роли hrd в крупных компаниях с численностью 10 тыс +) в производстве, рознице, логистике. На данном этапе готова взять проекты для реализации. Чем могу помочь: ◾️провести аудит организационной структуры и определить зоны для повышения эффективности ◾️п…
🔠🔠🔠🔠🔠🔠🔠🔠🔠🔠 Новая подборка постов на нашем канале ✔ 🔴Как сделать процесс увольнения сотрудников цивилизованным и выгодным для компании 🔴Контрольный список увольнения: 6 шагов без лишнего стресса и сюрпризов 🔴Увольнения на горизонте: 7 способов пережить их без выгорания и репутационных потерь 🔴Что такое "тихое увольнение" 🔴Exit-интервью не спасут: настоящие причины увольнений появляются раньше 🔴Когда приходится уволь…
❤2👍1🤝1
от @HRBPBK #ищу_специалиста #онлайн на #подбор_специалистов Ищу внештатного рекрутера для подбора персонала / подработка. Вакансии офис / склад, разноплановый подбор. Сейчас в работе около 4 вакансий. Доступ к базе HH предоставляем, по необходимости. Задачи: -разбор резюме/ откликов или поиск по базе резюме, -установление контакта, -короткое видео- интервью с соискателем, -свои комментарии -приглашение на собеседов…
от @Mar000io #ищу_специалиста #онлайн на #подбор_массовый Ищем на ГПХ специалиста по подбору персонала на строительный проект (массовый подбор). Удаленно. Готовность работать по часовому поясу +3-5 МСК
❗️Чтобы опубликовать объявление о поиске исполнителя на HR-проект или рассказать о себе как об исполнителе: 1) внимательно прочитайте правила https://t.me/hrm_freelance/18823; 2) присылайте админу @Freelance_HRM пост, оформленный в соответствии с правилами. Только проектная, временная работа для HR!
🚩 Обновления на нашем канале "Рекомендательный рекрутинг" ♦️Рекомендации кандидатов 1. Бизнес-аналитик с 10+ годами опыта в IT-продуктах, автоматизации бизнес-процессов, EdTech, AI/ML и ECM/СЭД. удаленно. Безвозмездно, https://t.me/recommend_recruit/719 2. Финансовый директор / CFO. Москва (возможны проекты, удаленно) Безвозмездно, https://t.me/recommend_recruit/720 3. Финансовый директор (CFO). Караганда (Казахс…
От @Svetlana_Yudina #оказываю_услуги #ищу_проект #онлайн #подбор_специалистов #подбор_линейный #подбор_руководителей #подбор_it Добрый день! Меня зовут Светлана, я freelance recruiter. Более 9 лет в сфере найма: работала как в кадровых агентствах, так и внутри компаний. Занимаюсь точечным подбором специалистов в различных сферах (IT, индустриальный сектор, ИТР, бэк-офис, управление проектами) и веду полный цикл по…
от @marisol55 #оказываю_услуги #онлайн #консалтинг #kpi #оплата_труда Привет, коллеги! Я Марина Емцова. 15 лет проработала HRD в производстве, строительстве и торговле. Сейчас ушла в собственный консалтинг. Что делаю: 🔹 Кадровый аудит. Проверяю документы, убираю ошибки, готовлю к проверкам ГИТ. С сентября 2026 меняется ТК РФ — большинство компаний к этому не готовы. 🔹 Системы мотивации. Настраиваю оплату труда так,…
🚩 Обновления на нашем канале "Рекомендательный рекрутинг" ♦️Рекомендации кандидатов 1. QA Lead / Tech Lead Manual QA, удаленно или СПБ. Безвозмездно, https://t.me/recommend_recruit/713 2. Комплаенс специалист с международным опытом. Москва, удалённо / гибрид. Безвозмездно, https://t.me/recommend_recruit/715 3. Специалист по поиску поставщиков. Со знаниями языка. Москва. Готова к переезду, готова к редким командир…
❤1
Showing the 12 most recent of 21 posts we hold for @hr_uslugi. 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
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
Names
Channels on the register whose handles appear in this channel's posts.
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
@hr_uslugi 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.
named in 2 posts, 8 August 2026 – 9 August 2026
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 13 August 2026 — this entry's latest reading, not the date you are reading this.
“HR-услуги” (@hr_uslugi), 3,769 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/hr_uslugi.
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.