Telegram RegisterThe public register of Telegram

Channel

Поток

@hrtechnology

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

8,360subscribers

-18 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-1001092874138
TypeChannel
Username@hrtechnology
DescriptionУмные HR-решения для управления персоналом и развития талантов. Мы рассказываем о цифровых инструментах, а также публикуем мероприятия и статьи. Сотрудничество: e.mozhelis@potok.io Наш сайт: clck.ru/33k2ek Наш блог: clck.ru/33
Created5 December 2016measured — cross-checked against a third-party dataset (TGDataset)
First recorded6 August 2026
Last confirmed live11 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 11 August 2026
On Telegramt.me/hrtechnology

Growth

8,3608,3788,3696 August 2026 — 8,378 subscribers6 August 2026 — 8,378 subscribers8 August 2026 — 8,370 subscribers11 August 2026 — 8,360 subscribers6 August 202611 August 2026
4 measurements spanning 6 days, net -18. 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 8,357–8,381 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Aug 2026, 17:518,360-10
8 Aug 2026, 15:258,370-8
6 Aug 2026, 03:028,378no change
6 Aug 2026, 00:218,378first reading

Engagement

23 posts held, back to 22 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 12 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
3.87%
avg views ÷ 8,360 subscribers
Avg views / post
324
23 posts measured
Reaction rate
2.99%
reactions ÷ views · ER floor
Posts in window
23
of 23 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 held23 (22 July 202612 August 2026)
Views total7,446
Reactions total223
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 16:28 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
2,680
Videos
34
Links
2,020

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 44s
Average length
41s

Measured directly from 4 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

185 reactions across 19 posts, in 3 distinct kinds. The most used accounts for 37.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
6937.3%
👍6133.0%
🔥5529.7%

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 23 of the 23 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 223reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 23 most recent posts we hold, published 22 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.

Telegram Stars

Stars received
1
across the posts below
Posts paid on
1
of 23 we hold a reading for · 4%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @hrtechnology. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 23 most recent posts we hold for this entry, published 22 July 2026 to 12 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

12 Aug 2026, 11:04 UTC139 views10 reactionsread 12 August 2026
Photo

0️⃣ «Согласен» не значит «звоните мне через год» Галочка о согласии на обработку персональных данных есть почти у каждого кандидата. А на какие цели она распространяется, когда получена и не пора ли ее обновить? В «Поток Рекрутменте» появилось раздельное согласие на обработку ПДн и повторный запрос согласия. Кандидат отмечает два пункта: рассмотрение по конкретной вакансии — обязательный, включение в кадровый резер

5👍5

12 Aug 2026, 06:04 UTC178 views6 reactionsread 12 August 2026
Photo

✅ Скоро начинаем вебинар! Подключайтесь: «Аналитика в подборе: метрики и инструменты эффективного HR» 🗓 12 августа, 11:00 (МСК) 🔵Участие бесплатное Разберём четыре блока 1. Аналитика воронки. Как выстроить отслеживание этапов от первого контакта до выхода сотрудника и автоматизировать сбор данных. 2. Деньги. ROI по каналам привлечения, стоимость закрытия вакансии, экономия на реактивации базы. 3. Скорость. SLA на

👍4🔥2

11 Aug 2026, 04:35 UTC265 views9 reactionsread 12 August 2026
Photo

Работодатели перестали рассылать оферы всем подряд Доля компаний, которые направляют джоб-офер каждому успешному кандидату, за год упала с 22 до 13%. Сообщает «CNews» по данным опроса SuperJob, оферы стали выдавать точечно, так как они перестали быть стандартным шагом воронки. Вопрос для рекрутера сместился: не «когда отправлять», а «на каких ролях он вообще нужен». 🔵 всем успешным кандидатам — 13% компаний (22% в

👍53🔥1

10 Aug 2026, 06:02 UTC275 views11 reactionsread 12 August 2026
File

А что, если ваш сотрудник уже наполовину готов к новой роли?👀 В этом фрагменте Максим Королев, CPO «Потока», рассказывает про Skills Cloud — новый взгляд на позиции как на кластер навыков, а не фиксированную роль. 🎧 В полном выпуске подкаста обсудили, как ИИ и новые реалии рынка меняют подбор: от наплыва откликов на ИТ-вакансии и дефицита линейного персонала до оценки компетенций, обесценившихся навыков и того, как

6👍3🔥2

7 Aug 2026, 08:59 UTC338 views10 reactionsread 12 August 2026
Photo

🔵 Джобхоппер или карьерный стратег? Как HR распознать разницу Карьера больше не прямая дорога от первой работы до пенсии. Сегодня топ-менеджер за 10 лет может сменить 5 компаний, а IT-специалист — десяток проектов. Но как понять: перед вами осознанный стратег или вечный искатель «чего-то лучше»? Рассказали, как не нанять сотрудника, который уйдёт через месяц 🧑‍💻 VK | МАКС | Узнать о продуктах «Потока»

👍5🔥32

6 Aug 2026, 11:04 UTC357 views9 reactionsread 12 August 2026
Video

Задача, на которую уходило 4 часа — теперь занимает 10 минут ⏱️ В этом фрагменте Максим Королев, CPO «Потока», рассказывает, какие задачи рекрутмента ИИ ускоряет в разы: от поиска и скрининга кандидатов до аналитики и прозрачности подбора. 🎧 В полном выпуске подкаста обсудили, как ИИ меняет рекрутинг, какие HR-инструменты уже стали обязательной частью работы и какие изменения ждут рынок в ближайшие годы. ➡️ Смотри

👍4🔥32

6 Aug 2026, 09:59 UTC288 views11 reactionsread 12 August 2026
Photo

✅ Бесплатный вебинар «Аналитика в подборе: метрики и инструменты эффективного HR» 🗓 12 августа, 11:00 (МСК) Спикер: Максим Королёв, директор по продуктам «Потока» На вебинаре вы узнаете: ◽️как настроить отслеживание всех этапов воронки от первого контакта до выхода сотрудника; ◽️как считать конверсию по этапам и находить точки потерь; ◽️как оценить ROI каждого источника кандидатов и стоимость закрытия вакансии; ◽️

🔥63👍2

6 Aug 2026, 08:59 UTC263 views10 reactionsread 12 August 2026
Photo

🔵 Пошаговое руководство для HR, которое поможет превратить офис в корпоративный ресурс Рабочее пространство — это больше, чем просто стол и розетка. Это немой HR-инструмент, способный снижать выгорание, усиливать вовлеченность и даже помогать в адаптации. Однако для этого к нему нужно подходить не как к мебели, а как к системе. Собрали практические советы и подходы, как организовать рабочее пространство в офисе. ➡

4👍3🔥3

5 Aug 2026, 08:59 UTC277 views9 reactionsread 12 August 2026
Photo

🧐 Что общего между сотрудником, который ворует еду из общего холодильника, и тем, кто сливает коммерческую тайну? Оба убивают вашу корпоративную этику. Только во втором случае последствия дороже. Готовы узнать, как создать этику, которая работает не только на кухне? ➡️ Разобрались, как грамотно внедрить корпоративную этику VK | МАКС | Узнать о продуктах «Потока»

5👍2🔥2

4 Aug 2026, 12:17 UTC293 views11 reactionsread 12 August 2026
Photo

✅ Не пропустите! Афиша для каждого HR Собрали 10 бесплатных мероприятий августа. Вы узнаете, как считать конверсию по этапам воронки и стоимость закрытия вакансии, что удерживает сотрудников помимо зарплаты, как отличить рабочий спор от токсичности в команде и превратить свою задачу в ИИ-инструмент за один спринт. Хотите быть в курсе всех событий? Тогда читайте афишу и добавляйте в календарь. ➡️ Все даты и темы — п

5👍3🔥3

4 Aug 2026, 08:59 UTC314 views9 reactionsread 12 August 2026
Photo

❤️ Профессиональное выгорание в HR: чек-лист заботы о себе Путь к восстановлению и защите от выгорания для HR включает три этапа: честную самодиагностику, отделение фактов от тревожных интерпретаций и внедрение ежедневных микро-практик психологической разгрузки. Ментальное здоровье HR-лидера напрямую влияет на качество управленческих решений и атмосферу во всей компании. ➡️ В ВК поделились, как эйчару заботиться о

5👍2🔥2

3 Aug 2026, 10:55 UTC344 views9 reactionsread 12 August 2026
Video

Без этого рекрутер сегодня безоружен перед рынком кандидатов 🤔 В этом фрагменте Максим Королев, CPO «Потока», рассказывает про базовый уровень ИИ-автоматизации в подборе — и почему без него не выжить в масс-подборе. 🎧 В полном выпуске подкаста обсудили, как ИИ меняет рекрутинг, какие HR-инструменты уже стали обязательной частью работы и какие изменения ждут рынок в ближайшие годы. ➡️ Смотрите выпуск целиком по ссы

🔥52👍2

Showing the 12 most recent of 23 posts we hold for @hrtechnology. 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 — 69,999 of 1,160,990entries 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 9 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 11 August 2026 — this entry's latest reading, not the date you are reading this.

“Поток” (@hrtechnology), 8,360 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/hrtechnology.

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.