Telegram RegisterThe public register of Telegram

Channel

HR-аналитика

@hranalitycs

On this record: Growth · Engagement · What this channel posts · Reactions · Advertising · Posts · Citations · Cite this entry

34,076subscribers

-21 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001108872131
TypeChannel
Username@hranalitycs
DescriptionКанал для HR. всем вопросам писать @Edvb777 Номер заявки Роскомнадзор на госуслугах 4826096875
Created3 May 2017measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/hranalitycs

Growth

34,07634,10934,092.56 August 2026 — 34,097 subscribers6 August 2026 — 34,097 subscribers6 August 2026 — 34,108 subscribers7 August 2026 — 34,109 subscribers8 August 2026 — 34,106 subscribers9 August 2026 — 34,096 subscribers10 August 2026 — 34,090 subscribers11 August 2026 — 34,078 subscribers12 August 2026 — 34,076 subscribers6 August 202612 August 2026
9 measurements spanning 6 days, net -21. 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 34,071–34,114 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 14:0334,076-2
11 Aug 2026, 13:5334,078-12
10 Aug 2026, 15:5134,090-6
9 Aug 2026, 19:0534,096-10
8 Aug 2026, 20:5434,106-3
7 Aug 2026, 21:3334,109+1
6 Aug 2026, 21:0134,108+11
6 Aug 2026, 05:3034,097no change
6 Aug 2026, 05:2334,097first reading

Engagement

33 posts held, back to 29 July 2026the 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 · 30 days
7.43%
avg views ÷ 34,076 subscribers
Avg views / post
2,530
33 posts measured
Reaction rate
0.995%
reactions ÷ views · ER floor
Posts in window
33
of 33 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 12 August 2026
Posts held33 (29 July 202612 August 2026)
Views total83,532
Reactions total831
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 21:06 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
1,450
Videos
76
Links
3,640

Lifetime counters from Telegram’s own channel header, read 12 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.

Video runtime
2m 00s
Average length
1m 00s

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

733 reactions across 30 posts, in 21 distinct kinds. The most used accounts for 28.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
20628.1%
🔥15621.3%
👍12617.2%
🤣10614.5%
👏283.82%
😁283.82%
🤔182.46%
😱141.91%
🤡91.23%
🤝81.09%
🤯70.955%
🗿50.682%
❤‍🔥40.546%
👎40.546%
🥴30.409%
20.273%
20.273%
🍌20.273%
👌20.273%
💯20.273%
1 further kind10.136%

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 33 of the 33 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 831reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 33 most recent posts we hold, published 29 July 2026 to 12 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
9.09%
3 of 33 posts carry an ad marker
Regulatory tokens
3
posts carrying an erid · 3 distinct tokens
Median views · ads
2,640
over 3 measured posts
Median views · rest
2,610
over 30 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.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2VtzqwCm1Gn13 August 20263 August 2026
2VtzqwFuGPD110 August 202610 August 2026
CQH36pWzJqVJECKdWQakXxCvUt3rtUhWc3EsX59yz4DZqu130 July 202630 July 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 33 most recent posts we hold, published 29 July 2026 to 12 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

12 Aug 2026, 16:45 UTC872 views8 reactionsread 12 August 2026
Photo

Vibe coding для рекрутера: 5 инструментов, которые можно собрать за день Это резюме перевода статьи. Полный перевод по ссылке Вайб кодинг для технических рекрутеров: 5 инструментов, которые можно создать уже сегодня Vibe coding — это когда вы описываете обычным языком, какой инструмент вам нужен, а AI собирает работающий прототип. Для рекрутера здесь интересен не сам факт, что «теперь можно программировать без прог

3👍2🔥2🤔1

12 Aug 2026, 12:04 UTC≈1,220 views3 reactionsread 12 August 2026
Photo

🚀 Бесплатный вебинар про адаптацию руководителей По данным Лондонской школы бизнеса, 39% руководителей думают об уходе в первые три месяца. При этом исследование Brandon Hall Group показало, что компании с продуманным онбордингом менеджеров удерживают их на 82% чаще. На вебинаре 18 августа разберем, как выстроить адаптацию управленцев, чем отличается их онбординг от линейных сотрудников и как распределить ответстве

👍3

12 Aug 2026, 09:02 UTC≈1,340 views10 reactionsread 12 August 2026
Photo

📅 26 августа в 10:00 (МСК) приглашаем на вебинар: HR-бюджет 2027: что заложить сегодня, чтобы не было мучительно больно завтра. Стоимость найма растет, кандидатов становится меньше, а привычные каналы подбора требуют всё больше бюджета. Какие инструменты будут работать в 2027 году? Вместе с HR-руководителями крупнейших компаний обсудим: 🔹 какие каналы подбора сохранят эффективность в ближайшие годы; 🔹 реферальный

👍43🔥3

12 Aug 2026, 04:59 UTC≈1,430 views11 reactionsread 12 August 2026
Photo

Skill Scarcity. Индекс дефицитности навыка В прошлом посте разбирал Skill Market Value — рыночную стоимость навыка. См. также Время найма навыка Но стоимость — только одна сторона рынка. Высокая цена навыка еще не означает, что он дефицитный. Важнее понять: насколько сложно найти специалиста с этим навыком относительно его стоимости? Так появилась идея метрики Skill Scarcity — индекса дефицитности навыка. Логика прос

7👍2🤔2

11 Aug 2026, 16:18 UTC≈1,520 views14 reactionsread 12 August 2026
Photo

Экономический эффект слушания. The Power of Listening at Work хорошее слушание руководителя связано с результатами, которые обычно пытаются улучшать совсем другими HR-инструментами. Авторы Avraham N. Kluger, Hebrew University of Jerusalem; Guy Itzchakov, University of Haifa, 2022. Несколько цифр из обзора: — r = 0,38 — связь между качеством слушания продавца и объёмом продаж. В метаанализе — 16 исследований, 3 780

9🔥3👍2

11 Aug 2026, 10:01 UTC≈1,640 views3 reactionsread 12 August 2026
Photo

Даже продуманную до мелочей программу легко испортят организационные недочеты Участники судят о мероприятии по очередям, задержкам и неработающей технике. Исключите эти и другие проблемы с помощью бесплатного материала от команды SMARTMICE. Внутри: — 21 формат деловых мероприятий для разных целей — от обучения команды до выезда на конференцию. — Пошаговый чек-лист организации: что проверить до события, в день прове

👍21

11 Aug 2026, 04:59 UTC≈1,700 views21 reactionsread 12 August 2026
Photo

HR-стратегия за одну страницу: простой план разработки Резюме документа Gartner Большинство HR-стратегий выглядят как презентации на 80 слайдов, которые после утверждения больше никто не открывает. Gartner предлагает противоположный подход: вся стратегия должна помещаться на одной странице. Но за этой страницей стоит вполне логичная последовательность действий. План создания HR-стратегии выглядит так: 1. Определит

🔥10👍65

10 Aug 2026, 15:17 UTC≈1,850 views22 reactionsread 12 August 2026
Photo

🍽 Совместные приёмы пищи: почему еда с другими делает нас счастливее Регулярные совместные приёмы пищи — один из самых сильных и универсальных индикаторов субъективного благополучия, сопоставимый по силе с доходом и безработицей. 🎓 Авторы и вузы исследователей Jan-Emmanuel De Neve — University of Oxford Andrew Dugan — Gallup Micah Kaats — Harvard Kennedy School Alberto Prati — University College London 🧪 Метод К

13🔥4❤‍🔥2👍1👏1🤔1

10 Aug 2026, 10:01 UTC≈2,000 views3 reactionsread 12 August 2026
Advertisementerid 2VtzqwFuGPDPhoto

Большинство российских компаний (74%) сейчас оптимизируют бюджеты. В том числе сокращая персонал. Но не задачи. Чтобы успевать больше с меньшими ресурсами, нужна «суперсила» для сотрудников. И это — ИИ, который снимает рутину, ускоряет процессы и повышает качество решений. Обучайте сотрудников самому востребованному навыку года на тренингах Практикума, чтобы автоматизировать операционные задачи и ускорить ключевые

👍21

10 Aug 2026, 04:59 UTC≈2,050 views9 reactionsread 12 August 2026
Photo

Экономическая ценность HR-компетенций Josh Bersin Institute опубликовал исследование (по ссылке DPF файл) экономической ценности HR-компетенций. Авторы оценивают глобальную численность HR-функции примерно в 45 млн человек. HR в среднем поддерживает работу более 100 коллег из бизнеса. В HR существует более 350 должностей от рекрутера и тренера до HR-психолога и data scientist. Для оценки компетенций Josh Bersin Insti

🔥3🤔32👏1

7 Aug 2026, 04:59 UTC≈2,830 views31 reactionsread 12 August 2026
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ИИ-помощники для HR. Команда Эрика ван Вулпена (AIHR) собрала несколько специализированных GPT для типовых HR-задач. Среди них — генератор должностных инструкций, помощник для создания вопросов на интервью и другие инструменты, которые можно использовать как готовые шаблоны. Важно понимать: это не готовые решения, а хорошие заготовки. Они не заменят HR-специалиста, но избавят от «чистого листа». ИИ быстро подготовит

15🔥8👍5👌2👏1

6 Aug 2026, 12:38 UTC≈2,730 views14 reactionsread 12 August 2026
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HR-аналитика: расчет и автоматизация показателей в Excel (он-лайн курс) ТРЕТИЙ ПОТОК За 8 занятий разберём цикл HR-аналитики в Excel: от базовой статистики и медиан до Power Query, Power Pivot и автоматизации ключевых показателей (eNPS, текучесть, воронка найма, ФОТ). Практика — на реальных HR-кейсах и данных. Первый поток успешно прошел обучение, запускаю второй поток - начало 3 сентября. Практика — на реальных

6🔥6👍1👏1

Showing the 12 most recent of 33 posts we hold for @hranalitycs. 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

Citation-graph rank — 22,732 of 1,151,006entries 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.

Forward network

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 22 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.

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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“HR-аналитика” (@hranalitycs), 34,076 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/hranalitycs.

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.