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Channel

Мостовщиков про employer comms

@mostovshchikov

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

1,532subscribers

+7 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001149368217
TypeChannel
Username@mostovshchikov
CreatedBetween 1 June 2017 and 31 July 2020— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live14 August 2026
Measurements held3
Confirmed unchanged2 times, most recently 14 August 2026
On Telegramt.me/mostovshchikov

Growth

1,5251,5321,528.57 August 2026 — 1,525 subscribers7 August 2026 — 1,525 subscribers11 August 2026 — 1,532 subscribers7 August 202611 August 2026
3 measurements spanning 4 days, net +7. 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 1,524–1,533 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Aug 2026, 06:461,532+7
7 Aug 2026, 21:331,525no change
7 Aug 2026, 12:081,525first reading

Engagement

10 posts held, back to 13 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
32.5%
avg views ÷ 1,532 subscribers
Avg views / post
498
2 posts measured
Reaction rate
4.92%
reactions ÷ views · ER floor
Posts in window
2
of 10 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 3 August 2026
Posts held10 (13 June 20263 August 2026)
Views total995
Reactions total49
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 21:33 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

346 reactions across 10 posts, in 6 distinct kinds. The most used accounts for 53.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
18553.5%
🔥7521.7%
🗿3710.7%
custom 5194936551385086204236.65%
😁195.49%
🥰72.02%

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 isTelegram’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 10 of the 10 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 346reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 10 most recent posts we hold, published 13 June 2026 to 3 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.

Recent posts

3 Aug 2026, 10:01 UTC348 views5 reactionsread 7 August 2026

Пять лет кейсу Xsolla, который опередил своё время 4 августа 2021 года 147 сотрудников Xsolla получили письмо о предстоящем увольнении. Команда big data проанализировала их активность в корпоративных сервисах и определила «невовлечённых и малопродуктивных». Кейс моментально стал одним из самых громких HR-скандалов в российском IT — об этом писали Forbes, РБК, Правила жизни. Тогда рынок в основном обсуждал этичност

3🔥2

27 Jul 2026, 18:46 UTC647 views44 reactionsread 7 August 2026
Photo

мой прогноз: через год (максимум два) работа в hr-коммуникациях будет выглядеть как на фото. рис. 1-2: рутинные операции выполняет агент, пока вы ходите на встречи / общаетесь со стейкхолдерами / пьете кофе / смотрите рилсы для насмотренности и что там обычно делают хорошие спецы с кмс по делегированию ❤️ employer comms

23🗿15custom 51949365513850862046

12 Jul 2026, 18:33 UTC≈1,100 views106 reactionsread 7 August 2026
Photo

Спустя девять месяцев в Яндексе я сменил работу. Но я по-прежнему в Яндексе. С июня я — DevRel-партнёр ❤️ Яндекс 360, бизнес-юнита, который создаёт офисы в интернете для бизнесов любого размера и развивает 13 высоконагруженных продуктов: Почту, Диск, Календарь, Телемост, Мессенджер и другие. Это случилось благодаря ротации: сотрудники Яндекса могут менять профессиональный вектор, роли и команды, не покидая компанию

56🔥41🗿9

8 Jul 2026, 09:56 UTC939 views29 reactionsread 7 August 2026

Две ситуации с моим AI агентом ① Попросил собрать контекст про рейтинги работодателей и сравнить методологии. Агент в ответ принес информацию в том числе про международные рейтинги. Ну в целом логично: я же не сказал, что меня интересуют только российские 🤡 ② Сделал скилл для постановки встреч с коллегами в рабочий календарь, чтобы он сам искал свободные слоты, бронировал переговорку, учитывал офис фактического нах

24😁5

4 Jul 2026, 14:54 UTC925 views26 reactionsread 7 August 2026
Photo

В Москве долгожданный освежащий ливень, а я медленно и с удовольствием разбираю конспекты с E+ Grand Summer Forum На форуме анонсировали запуск новой профессиональной премии E+ People и провели HR-сессию. Ключевая мысль панели: HR-бренд нельзя включать только тогда, когда нужно срочно нанимать. Он работает как инфраструктура доверия: в найме, удержании и восприятии компании. Помимо коммуникаций рекрутмента сюда же н

17🔥7custom 51949365513850862042

3 Jul 2026, 08:28 UTC682 views13 reactionsread 7 August 2026
Video message

Video message, posted without a caption

😁8🗿5

3 Jul 2026, 08:27 UTC661 views10 reactionsread 7 August 2026

Помните я хейтил кофе-рейвы? Короче я был не прав.

🗿6😁4

1 Jul 2026, 08:15 UTC882 views28 reactionsread 7 August 2026
Photo

16 июля приглашаю на закрытый митап ❤️ Dream Job для HRD и лидеров HR-коммуникаций — Dream ( Job ) Reputation. Бренд работодателя формируется не только карьерным сайтом, красивыми роликами и кампэйнами, а ещё тем, что люди пишут о компании после собеседований, испытательного срока, увольнений и просто тяжелых рабочих недель. Поэтому мы выбрали максимально прикладную тему: как репутация работодателя влияет на весь EJ

🔥158🥰3🗿2

30 Jun 2026, 19:18 UTC794 views46 reactionsread 7 August 2026

Берегите голову Вчера на звонке с HRD, бренд-директором и двумя руководителями по HR-коммуникациям вслух рассуждали, что помогает людям в нашей сфере делать свою работу хорошо. Заниматься employer comms сегодня, под колоссальным напряжением — это уже не только про харды, эффективность, насмотренность и умение делать из нуля единицу ограниченными ресурсами. Это еще и про способность выдерживать постоянное давление с

29custom 519493655138508620415😁2

13 Jun 2026, 17:26 UTC≈1,390 views39 reactionsread 7 August 2026
Photo

Некоторое время спустя переезда в Москву у меня появилась новая цель на будущее — переехать в Петербург. Сегодня открыл для себя новый офис ❤️ Яндекса в М22, и захотел релоцироваться еще сильнее. Внутри фэнси кофепойнты и переговорки, просторные опэнспейсы и зоны отдыха, киберарена, спортзал и библиотека. Но отдельно хочу остановиться на истории, рассказанную через пространство и дизайн-концепцию. 110 лет назад на

25🔥10🥰4

Showing the 10 most recent of 10 posts we hold for @mostovshchikov. 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.

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.

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.

“Мостовщиков про employer comms” (@mostovshchikov), 1,532 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/mostovshchikov.

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.