Telegram RegisterThe public register of Telegram

Channel

Селлерам Pro Найм

@hr4sellers

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

89subscribers

+0 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002036066254
TypeChannel
Username@hr4sellers
DescriptionБлог Антона Фокина про HR на маркетплейсах. -Рекрутер с 20+ летним опытом и ex-селлер. -Подобрал команду, которая впятером делает 1 ярд на ВБ. -Помогаю селлерам расти, через найм правильных людей и управление. Связаться со мной: @f_double_a
CreatedBetween 1 November 2023 and 31 May 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live9 August 2026
Measurements held2
On Telegramt.me/hr4sellers

Growth

897 August 2026 — 89 subscribers9 August 2026 — 89 subscribers7 August 20269 August 2026
2 measurements spanning 2 days. 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 88–90 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
9 Aug 2026, 15:1589no change
7 Aug 2026, 14:3189first reading

Engagement

20 posts held, back to 23 May 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
65.5%
avg views ÷ 89 subscribers
Avg views / post
58.3
3 posts measured
Reaction rate
3.61%
reactions ÷ views · ER floor
Posts in window
3
of 20 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. It is computed over the 1 of 3 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 7 August 2026
Posts held20 (23 May 20267 August 2026)
Views total175
Reactions total3
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Aug 2026, 15:15 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
56
Videos
4
Links
24

Lifetime counters from Telegram’s own channel header, read 9 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Video runtime
55s
Average length
55s

Measured directly from 1 video 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

25 reactions across 5 posts, in 5 distinct kinds. The most used accounts for 32.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍832.0%
624.0%
🔥624.0%
🤣416.0%
😁14.00%

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 5 of the 20 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 25reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 23 May 2026 to 7 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

7 Aug 2026, 13:56 UTC38 viewsread 9 August 2026

72% россиян хотели бы сменить работу или сферу деятельности, — пишет Коммерсантъ При этом регулярно откликаются на вакансии лишь 29% опрошенных, а 60% пропускают вакансии без зарплаты. Кроме того, каждый второй отказывается от отклика из-за неясных задач. @banks_economy

7 Aug 2026, 13:56 UTC54 viewsread 9 August 2026

Интересно, учитывает ли эта статистика Коммерсанта людей, работавших на маркетплейсах и со стороны селлеров, и со стороны самого ВБ?

24 Jul 2026, 07:04 UTC83 views3 reactionsread 9 August 2026

Почему один сотрудник развивается, а другой постоянно ищет новую работу? Недавно вместе с клиентом разбирали двух финальных кандидатов на одну и ту же позицию. Если не вдаваться в детали, то по опыту оба были вполне достойными. Но их мотивация оказалась совершенно разной. И это заставило меня вспомнить одну интересную мысль из книги "Триггеры", которую я недавно читал. Там говорилось о внешних и внутренних драйв

🔥21

15 Jul 2026, 15:40 UTC95 views5 reactionsread 9 August 2026
Photo

Каковы шансы... ...у кандидата, приславшего это сопроводительное письмо в отклике, попасть через меня на встречу с работодателем-селлером, чей магазин уже второй год ТОП-1 на #ВБ в своей категории? 👍 - без шансов 🖕🏿- шансы есть 👌- 50\50

🤣4😁1

13 Jun 2026, 05:53 UTC150 viewsread 9 August 2026

Если нужен #опердир для создания и настройки системы управления, либо для консультации - напишите мне в личку: @f_double_a

13 Jun 2026, 05:49 UTC142 viewsread 9 August 2026
Forwarded from @porarazbirat

Мне в личку всё чаще прилетают вопросы про сотрудников. Как подбираю менеджеров? Что вообще должен делать менеджер на Wildberries? И знаете, на фоне печальных новостей из каждого утюга про то, как на маркетплейсах всё плохо, все устали, все сваливают, такие вопросы меня скорее радуют. Значит, ещё не всё и не у всех потеряно. Ещё побарахтаемся. А я захотел напомнить. Не надо решать задачу «Я взял / хочу взять мен

13 Jun 2026, 05:49 UTC90 viewsread 9 August 2026

Обязательно к прочтению, осознанию и внедрению всем селлерам, которые нацелены на формирование своей команды и эффективное управление менеджерами маркетплейсов #ВБ #Озон и др. 👇👇👇

3 Jun 2026, 06:33 UTC140 views8 reactionsread 9 August 2026
Photo

Почему я? Ниже — 10 причин, почему селлеры, нацеленные на рост, сотрудничают со мной по подбору команды 👇 1. Я сам был селлером 2,5 года И это критически важное отличие от большинства моих коллег-рекрутеров. Со мной вы будете говорить на одном языке, так как я понимаю: — как реально устроен бизнес на WB и Ozon — что происходит внутри кабинетов — "где болит" и какие риски у собственников — какие знания, навыки и ко

4👍4

2 Jun 2026, 06:09 UTC101 viewsread 9 August 2026
Photo

Словарь Решил начать вести новую рубрику «Словарь» на канале, в которой буду расшифровывать терминологию HR, рекрутеров и хедхантеров. Думаю, что будет полезно собственникам, для того чтобы разговаривать со своими подрядчиками и сотрудниками на одном языке😁 Итак, первый термин: Employee Journey Map (EJM) EJM означает путь будущего сотрудника от первого контакта (с описанием вакансии, с карьерной страницей на web-

2 Jun 2026, 05:24 UTC73 viewsread 9 August 2026
Forwarded from @porarazbirat

Нейросети не заменят менеджера Wildberries. По крайней мере, пока вы не объясните им, что вообще происходит в кабинете. Есть популярная фантазия: сейчас я загружу нейросети отчёт, напишу «проанализируй продажи», и она мне такая: — Продажи упали потому что в рекламе просел CTR, по ключу просела позиция, а СПП опять живёт своей отдельной жизнью. Красиво. Только обычно так не работает. Нейросеть не является менедже

2 Jun 2026, 05:24 UTC81 viewsread 9 August 2026

Новый хайп среди селлеров в 2026 - нанять Менеджера ВБ или подключить ИИ?😊

Showing the 12 most recent of 20 posts we hold for @hr4sellers. 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

Republishes

Channels on the register whose posts this channel has forwarded.

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

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

“Селлерам Pro Найм” (@hr4sellers), 89 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/hr4sellers.

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.