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 12 September 2026 and assigned it the closest of 31 fixed categories, at 40% 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 why it has no browse page of its own yet.
Growth
14 measurements spanning 42 days, net -114. 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 8,247–8,395 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
16 Sept 2026, 22:42
8,264
-3
12 Sept 2026, 14:59
8,267
-13
8 Sept 2026, 14:55
8,280
-17
2 Sept 2026, 22:26
8,297
-12
30 Aug 2026, 21:26
8,309
-6
27 Aug 2026, 18:57
8,315
-14
24 Aug 2026, 23:16
8,329
-11
21 Aug 2026, 08:34
8,340
-3
18 Aug 2026, 08:42
8,343
-9
15 Aug 2026, 02:23
8,352
-8
11 Aug 2026, 17:51
8,360
-10
8 Aug 2026, 15:25
8,370
-8
6 Aug 2026, 03:02
8,378
no change
6 Aug 2026, 00:21
8,378
first reading
Engagement
36 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 23 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
1.36%
avg views ÷ 8,264 subscribers
Avg views / post
112
1 post measured
Reaction rate
2.68%
reactions ÷ views · ER floor
Posts in window
1
of 36 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
Window
Rolling 30 days · latest post in window 28 August 2026
Posts held
36 (22 July 2026 – 28 August 2026)
Views total
112
Reactions total
3
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Aug 2026, 17:57 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
Video runtime
5m 28s
Average length
47s
Measured directly from 7 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
291 reactions across 32 posts, in 6 distinct kinds. The most used accounts for 40.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
119
40.9%
👍
83
28.5%
🔥
83
28.5%
⚡
3
1.03%
custom 5467387423849729350
2
0.687%
🆒
1
0.344%
Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it is Telegram’s.
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 36 of the 36 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 329 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 36 most recent posts we hold, published 22 July 2026 to 28 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 36 we hold a reading for · 3%
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 36 most recent posts we hold for this entry, published 22 July 2026 to 28 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.
📺 10 фильмов о карьере
Подходящий момент, чтобы вечер пятницы провести не в таблицах, и даже не в «Потоке». Собрали 10 фильмов о карьере в одной статье.
1️⃣ «Экзамен». Восемь финалистов, один вопрос, 80 минут. Ассессмент-центр в жанре триллера.
2️⃣ «Мне бы в небо». Про то, как увольнять. В массовке — люди, которых действительно сократили в кризис, а сцены увольнений сняты почти документально.
3️⃣ «Человек, который …
✅ Не пропустите! Афиша для каждого HR
Собрали 10 важных мероприятий сентября. Вы узнаете, как подготовить массовый подбор к пиковому сезону без роста затрат, какие KPI будут определять работу HR в 2027 году, почему time-to-hire и retention rate перестают отражать реальную эффективность и как отвечать кандидату, который отказался от оффера.
Хотите быть в курсе всех событий? Тогда читайте афишу и добавляйте в календа…
0️⃣ Назначайте видеоинтервью из «Поток Рекрутмента» в одно нажатие
Добавили в «Поток Рекрутмент» встроенную интеграцию с Яндекс Телемостом. Ссылка на видеовстречу теперь создается автоматически при назначении интервью.
Чтобы функция действовала, достаточно один раз в личных настройках привязать Яндекс-аккаунт. После этого Телемост будет доступен по умолчанию в интерфейсе.
История сохраняется. Если кандидат вернетс…
⏳ Скоро начинаем вебинар! Подключайтесь: «Не только зарплата: что действительно мотивирует и удерживает сотрудников»
🗓 26 августа, 11:00 (МСК)
Участие бесплатное
На вебинаре вы узнаете:
◽️почему удержание начинается с понимания потребностей сотрудников, а не с выбора HR-инструментов;
◽️какие причины увольнений встречаются чаще всего и как выявить их до того, как сотрудник примет решение уйти;
◽️какие корпорат…
🤖 К 2030 году более 60% задач HR уйдут к ИИ
Две трети сегодняшних задач HR могут быть автоматизированы полностью или в части исполнения, но спешить с выводами не стоит, ведь без человека обойдется только четверть работы.
💙 Разбираем в карточках подробности и рекомендации из исследования McKinsey.
Что делать HRD?
McKinsey рекомендует HR-директору ответить на 5 ключевых вопросов: от целевой модели до экономического …
ИИ сделал слабых кандидатов сильнее на бумаге — и вот в чём подвох 😳
В этом фрагменте Максим Королев, CPO «Потока», объясняет, как ChatGPT помогает людям точнее описывать свой опыт под требования вакансии, и почему это увеличило поток менее релевантных откликов.
🎧 В полном выпуске подкаста обсудили, как ИИ и новые реалии рынка меняют подбор: от наплыва откликов на ИТ-вакансии и дефицита линейного персонала до оценк…
Собеседования по компетенциям — не работают так, как вы думаете 🫣
В этом фрагменте Максим Королев, CPO «Потока», рассказывает, почему проверка компетенций часто недостоверна — и как через кейс-интервью и вопросы об опыте получить более честную оценку кандидата.
🎧 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…
🔵 Вакансий в телекоме на 30% меньше, а закрываются они на 37% дольше
«Поток» посчитал, что произошло с наймом в телеком-отрасли за первое полугодие 2026 года к тому же периоду 2025:
◽️ объем вакансий: −30%
◽️ разработка: −25%
◽️ системная и бизнес-аналитика: −22%
◽️ инженерная инфраструктура: −29%
◽️ DevOps-инженеры: +43%
◽️ средний срок закрытия вакансии: +37%
При этом на офисную вакансию по-прежнему претендуют д…
0️⃣ Единые правила целеполагания и вся картина по целям теперь в одном окне
В «Поток Целях» появились два крупных обновления: они не дают ошибиться с периодом, количеством или весом целей и помогают строить расчет мотивации на корректных данных.
1️⃣ Правила постановки целей можно задать изначально, а система автоматически проконтролирует их соблюдение.
2️⃣ На новой странице аналитики отображается статус целей по с…
Зарплаты медицинских юристов выросли на 20–30% за год
Частным клиникам и страховым не хватает квалифицированных медицинских юристов, пишут «Известия». По оценке Татьяны Демьяненко из «Росгосстраха», за 2026 год зарплаты таких специалистов выросли на 20–30%.
Работодатели ищут не просто юриста, а специалиста с медицинским образованием или опытом работы в медучреждении. Нужны две квалификации сразу, а готовых кандидат…
✅ Бесплатный вебинар «Не только зарплата: что действительно мотивирует и удерживает сотрудников»
🗓 26 августа, 11:00 (МСК)
Спикеры:
Максим Королёв, директор по продуктам HRTech-компании «Поток»
Илья Понукалин, директор по персоналу компании «Отпуск»
На вебинаре вы узнаете:
◽️почему удержание начинается с понимания потребностей сотрудников, а не с выбора HR-инструментов;
◽️какие причины увольнений встречаются чаще …
🔵Конкурс «Потока»: создайте своего ИИ-агента для HR
Мы запускаем «Поток Agent Challenge» — открытый конкурс для тех, кто готов показать, какие задачи HR уже сегодня можно решать с помощью ИИ-агентов.
Используйте открытое API «Потока» и создайте свое решение:
◽️для подбора,
◽️онбординга,
◽️оценки и развития сотрудников,
◽️обучения,
◽️HR-аналитики,
◽️работы с опытом сотрудника
или предложите собственный сценарий.
По…
❤6🔥5👍2
Showing the 12 most recent of 36 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.
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 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.
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.
Альфа-Курс @alfa_course · 20,674 Telegram ranks this channel #14 of 88 here — alongside 87 others — read 26 September 2026
topcareer @topcareerschool · 23,425 Telegram ranks this channel #17 of 100 here — alongside 99 others — read 18 September 2026
hh.ru @hh_ru_official · 90,584 Telegram ranks this channel #19 of 83 here — alongside 82 others — read 10 September 2026
HR-аналитика @hranalitycs · 34,128 Telegram ranks this channel #30 of 100 here — alongside 99 others — read 3 September 2026
Авито Работа @avito_jobs · 21,452 Telegram ranks this channel #34 of 97 here — alongside 96 others — read 23 September 2026
Полезное для Кадровика @trud_krut · 23,514 Telegram ranks this channel #40 of 96 here — alongside 95 others — read 18 September 2026
Пригодится! 🍎 Библиотека для HR @savetoreadlater · 22,278 Telegram ranks this channel #45 of 100 here — alongside 99 others — read 21 September 2026
The Future Of Work @thefutureofwork · 20,679 Telegram ranks this channel #48 of 99 here — alongside 98 others — read 26 September 2026
HR[хаб]вакансии @hrhubvacancy · 22,465 Telegram ranks this channel #51 of 100 here — alongside 99 others — read 20 September 2026
Хабр Карьера @habr_career · 33,171 Telegram ranks this channel #62 of 97 here — alongside 96 others — read 4 September 2026
Охрана труда @ohranatruda_official · 25,133 Telegram ranks this channel #95 of 95 here — alongside 94 others — read 14 September 2026
This channel appears in 11 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 16 September 2026 — this
entry's latest reading, not the date you are reading this.
“Поток” (@hrtechnology), 8,264 subscribers as measured 16 September 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.