Job listings — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Views per post sit far above this size band
11,600 average views per post against 12,754 subscribers — an engagement rate of 91.0%. Across the 23,718 registered channels in the same cohort — 10,000–31,622 subscribers, posting mainly in Russian — the middle half sit between 5.44% and 21.5%, with a median of 11.0%.
What this was computed from
Window
30 days (12 August 2026 – 11 September 2026)
Posts measured
16 of 16 published in the window (11 exact, 5 rounded by Telegram)
Views totalled
185,609
Mature posts only
103.0% over 14 posts read at least 24h after publication
When this is recorded. A channel is listed here only when its engagement rate sits at or above the 99th percentile of its cohort and is at least 3× away from that cohort’s median — above it — on both the all-readings figure and the mature-only figure. The percentile alone would be circular: a percentile cut puts the same share of every cohort in the tail whatever the data looks like. The distance from the median is what makes it a statement about this channel.
This is not a verdict, and the direction is not a quality signal. A low rate has many innocent causes — audiences that read in the Telegram app without opening the channel, a subscriber base built long before the current output, an audience in a different timezone from our reading. A high rate has innocent causes too: a post that travelled far beyond the channel’s own subscribers will do it. We publish the measurement and the distribution it sits in. The full cohort baselines are downloadable, so this comparison can be reproduced rather than trusted.
Recorded under the key err_high, last confirmed 11 September 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Growth
29 measurements spanning 39 days, net -105. 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 12,718–12,855 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 29
Measured (UTC)
Subscribers
Change
14 Sept 2026, 22:19
12,734
-7
13 Sept 2026, 11:59
12,741
+1
11 Sept 2026, 12:56
12,740
-14
8 Sept 2026, 23:40
12,754
-8
5 Sept 2026, 15:00
12,762
-7
3 Sept 2026, 14:20
12,769
-8
2 Sept 2026, 07:47
12,777
-6
1 Sept 2026, 09:04
12,783
+2
31 Aug 2026, 10:08
12,781
+2
29 Aug 2026, 10:32
12,779
-2
27 Aug 2026, 06:54
12,781
-2
26 Aug 2026, 07:43
12,783
-3
25 Aug 2026, 04:08
12,786
+1
23 Aug 2026, 23:13
12,785
-9
22 Aug 2026, 06:49
12,794
+1
20 Aug 2026, 21:23
12,793
+6
19 Aug 2026, 23:33
12,787
-6
18 Aug 2026, 20:38
12,793
-3
17 Aug 2026, 18:14
12,796
-6
16 Aug 2026, 15:06
12,802
first reading
Engagement
30 posts held, back to 24 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 48 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
102.7%
avg views ÷ 12,734 subscribers
Avg views / post
13,100
14 posts measured
Reaction rate
0.226%
reactions ÷ views · ER floor
Posts in window
14
of 30 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 2 September 2026
Posts held
30 (24 July 2026 – 2 September 2026)
Views total
183,119
Reactions total
413
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Sept 2026, 21:13 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
59s
Average length
30s
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
747 reactions across 30 posts, in 12 distinct kinds. The most used accounts for 36.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
270
36.1%
🔥
204
27.3%
👍
87
11.6%
👏
68
9.10%
🤔
35
4.69%
🥰
32
4.28%
😎
23
3.08%
💔
6
0.803%
😁
6
0.803%
😱
6
0.803%
🤯
6
0.803%
🤩
4
0.535%
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 30 of the 30 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 747 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 30 most recent posts we hold, published 24 July 2026 to 2 September 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.
❗️ МСБ разместил почти 2 млн вакансий за полгода
Рынок труда охлаждается, но малый и средний бизнес не сбавляет кадровую активность — мы посчитали, сколько вакансий он открыл с начала года.
Половина вакансий в сегменте приходится на малый бизнес — 990 тыс. Микробизнес тоже наращивает спрос: с 88,2 тыс. вакансий в январе до 103,8 тыс. в июле.
▶️ Кто в лидерах по объёму спроса — читайте здесь.
А как у вас с наймом …
🌟 Запускаем Наблюдательный совет Рейтинга работодателей hh.ru
2 сентября начал работу Наблюдательный совет — независимый внешний экспертный институт, который будет верифицировать HR-анкеты компаний и результаты опросов eNPS сотрудников.
Его задача — дополнить Рейтинг независимой профессиональной оценкой, повысить прозрачность ключевых решений и снизить риск манипуляций с данными.
Кто входит в Наблюдательный совет…
На пути к успеху всегда будут препятствия 🌟
В такой момент важно на останавливаться. А продолжать двигаться, заручившись поддержкой надёжной команды.
Ищите тех, на кого можно положиться в любой ситуации. На hh.ru более 72 миллионов подходящих работников для вашего бизнеса.
Ищите людей 🥰
✅ Сохраните этот пост, если не знаете, на каких HR-метриках фокусировать внимание
В малом и среднем бизнесе не нужно отслеживать десятки показателей. Достаточно выбрать 3–5 метрик — по скорости, деньгам и качеству найма. Они подсвечивают убытки, сбои в адаптации и проблемы в командах ещё до того, как они ударят по выручке.
🔼 В карточках — нужные метрики и советы, как их внедрить.
🥰 Следите за новостями рынка труда…
Вашему бизнесу специалист не нужен?
Иногда за простым описанием вакансии скрывается такой объём задач, который в реальности выполняет целая команда. Проблема в том, что такие «сборные» объявления сбивают с толку и отпугивают тех специалистов, которые действительно нужны компании здесь и сейчас.
В карточках — яркий пример такой ситуации. Сможете угадать, кого именно ищут в объявлении?
🥰 — Юрист
😱 — Офис‑менеджер
😎 …
🔴 На Headconf 2025 нашей задачей было разобраться, что вообще происходит с рынком труда, технологиями, культурой и управлением.
При составлении программы Headconf 2026 пошли дальше: теперь не только анализируем перемены, но и ищем решения. Каким должен быть лидер? Какие технологии действительно нужны бизнесу? За что теперь отвечает HR?
8 октября будем искать ответы вместе с CEO hh.ru, «Альфа-Банка» и «Магнита», а …
🤖 Как ИИ‑рекомендации экономят время рекрутера уже в первые минуты работы с вакансией
Обычно, чтобы закрыть вакансию, рекрутер собирает отклики и вручную перебирает накопленную базу. Это занимает время и не всегда приводит к результату. В Talantix этот этап автоматизирован: сразу после создания вакансии система формирует подборку наиболее релевантных кандидатов из вашей базы.
Больше не нужно искать по всей базе или…
Соискатель на удалёнку: «Да я всегда на связи»
Также соискатель: был в сети 4 дня назад
Подготовиться к онлайн-интервью и произвести классное впечатление — не так уж сложно. Но удалённая работа требует самодисциплины, автономности и умения доносить мысли текстом. А эти качества через камеру разглядеть непросто.
▶️Чтобы найм не превратился в лотерею, обратите внимание на три маркера:
1. Стиль переписки. На удалёнке…
🌟 Как HR становится стратегическим партнёром бизнеса
Оформить документы, закрыть горящие вакансии, рассчитать отпуска — привычная база HR. Но сегодня от функции ждут большего: глубокого понимания экономики компании, прогнозирования рисков и прямой связи между развитием команды и бизнес-показателями.
▶️ В карточках разобрали, из чего складывается переход от операционки к стратегии, какие инструменты помогают освобод…
Премия HR‑бренд: открыта регистрация на новый сезон 🌟
Рассказываем, почему вам нужно подать заявку прямо сейчас.
1️⃣ Сниженная стоимость действует до 31 августа, после этого цена повысится.
2️⃣ Каждому номинанту будет назначен персональный консультант. Он будет сопровождать проект на всех этапах подготовки, поможет корректно оформить материалы и даст рекомендации по всем вопросам. Август — оптимальное время, чтобы…
🌟 Отказ в прибавке может стоить компании до 7 окладов — если провести разговор неправильно
Но сказать «нет» — не значит потерять сотрудника. Диалог о повышении можно превратить в партнёрскую договорённость, если перевести фокус с причин отказа на условия роста или альтернативные бонусы.
🔼В карточках собрали стоп-фразы и замены денежной прибавке, а подробный разбор кейсов и сценарии разговора читайте в статье.
🥰 С…
❤3🤔3🔥2😱2👍1😁1
Showing the 12 most recent of 30 posts we hold for @hh_b2b. 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 1 registered channel — 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.
hh.ru @hh_ru_official · 90,686 Telegram ranks this channel #2 of 83 here — alongside 82 others — read 10 September 2026
HR-аналитика @hranalitycs · 34,133 Telegram ranks this channel #56 of 100 here — alongside 99 others — read 3 September 2026
This channel appears in 2 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 14 September 2026 — this
entry's latest reading, not the date you are reading this.
“hh для бизнеса” (@hh_b2b), 12,734 subscribers as measured 14 September 2026. Telegram Register, tgregister.com/channel/hh_b2b.
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.