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Channel

Включай HR | Neon

@neonhrm

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

870subscribers

-1 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-1002340524129
TypeChannel
Username@neonhrm
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live14 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/neonhrm

Growth

870871870.57 August 2026 — 871 subscribers8 August 2026 — 871 subscribers14 August 2026 — 870 subscribers7 August 202614 August 2026
3 measurements spanning 7 days, net -1. 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 870–871 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 18:58870-1
8 Aug 2026, 01:16871no change
7 Aug 2026, 16:55871first reading

Engagement

9 posts held, back to 30 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
17.0%
avg views ÷ 870 subscribers
Avg views / post
148
4 posts measured
Reaction rate
1.80%
reactions ÷ views · ER floor
Posts in window
4
of 9 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 3 of 4 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 5 August 2026
Posts held9 (30 June 20265 August 2026)
Views total592
Reactions total8
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 01:16 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

48 reactions across 8 posts, in 6 distinct kinds. The most used accounts for 41.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 52041101720326228232041.7%
1225.0%
🔥1122.9%
😁36.25%
custom 520672256871054666212.08%
👍12.08%

Custom emoji. 2 of the rows above are 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 counts beside them areTelegram’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 8 of the 9 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 48reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 9 most recent posts we hold, published 30 June 2026 to 5 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

5 Aug 2026, 10:59 UTC94 views1 reactionsread 8 August 2026
Photo

Делимся подборкой интересных материалов о рынке труда за последние недели ⏺️Сотрудники оценивают стабильность компании по прозрачности дохода Главный признак стабильности работодателя для 37% россиян - понятная схема расчета зарплаты и премий. На втором месте — согласованные и достижимые KPI, на третьем — открытый стиль коммуникации руководства. ➡️ Опрос hh.ru ⏺️С 1 октября самозанятым ограничат работу с одним зака

custom 52067225687105466621

29 Jul 2026, 09:52 UTC152 views4 reactionsread 8 August 2026
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Как применять профиль должности на практике? ✍️ Мы уже рассказывали, что в идеале профиль должности – не просто красивый документ, а опора для всех HR-процессов, связанных с сотрудником. Показываем наглядно в карточках, как его применять! Кстати, в блоге у нас есть подробная статья о том, как работает профиль должности, кому и для чего нужен, и как он выглядит в Neon HRM. ➡️ Читать статью #как_устроено

🔥3custom 52041101720326228231

28 Jul 2026, 07:50 UTC148 viewsread 8 August 2026
File

Реальный кейс: профиль должности для инженера по охране труда 👷🏻‍♂️ Сегодня наглядно показываем, как профиль должности выглядит и применяется на практике. Если пропустили наш пост о том, что такое профиль должности – ищите тут. В приложении к посту – образец профиля должности инженера по охране труда. Что обязательно прописываем в профиле должности: ⏺️цель роли (ее ценность для бизнеса) ⏺️ключевые задачи ⏺️требова

22 Jul 2026, 09:03 UTC198 views3 reactionsread 8 August 2026
Photo

😳 Так выглядят онбординг и адаптация, если в компании нет инструментов автоматизации Сравните сами ⬇️ Онбординг и адаптация новичка БЕЗ АВТОМАТИЗАЦИИ: ❌ Прием заявок в ИТ и на оборудование, выдача доступов ведутся вручную по почте ❌ Обучающий контент нужно искать в разных источниках ❌Нет единого плана адаптации: у каждого руководителя свой чек‑лист и требования ❌Прогресс адаптации никак не отслеживается ❌Обратную с

😁3

15 Jul 2026, 11:26 UTC190 views4 reactionsread 8 August 2026
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Чек-лист «Аудит текущих HR-процессов за 5 шагов» Хаос не пройдет! Дарья Красильникова, бизнес-архитектор HR-процессов, делится пошаговым планом, который поможет провести ревизию и составить дорожную карту HR-автоматизации: Шаг 1. Соберите все, что есть сейчас ➡️ Кадровые документы: трудовые договоры, должностные инструкции, приказы, регламенты и положения ➡️ Данные и отчеты: по текучести по отделам, результаты опро

custom 52041101720326228233👍1

8 Jul 2026, 13:24 UTC347 views19 reactionsread 8 August 2026
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Neon HRM — победитель премии РБК Human Centricity Awards-2026 в номинации HRTech🔥 Жюри премии отмечает: HR становится функцией управления производительностью бизнеса. Компании все чаще задают вопрос не «сколько сотрудников охвачено программой», а «какой результат она принесла бизнесу». Благодарим коллег за доверие и гордимся наградой! #выходим_в_люди

custom 5204110172032622823115🔥3

8 Jul 2026, 07:32 UTC206 views5 reactionsread 8 August 2026
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Россияне в поисках работы и ожидания студентов от работодателей Тренды рынка труда и интересные исследования за последние недели – в нашей регулярной рубрике «саммари»: Количество резюме на российском рынке труда увеличилось на 52% Это данные за январь-май 2026 года по сравнению с аналогичным периодом 2025. При этом самый высокий рост соискательской активности — у специалистов 45-64 лет. В топе популярных направлен

custom 520411017203262282341

3 Jul 2026, 09:50 UTC233 views5 reactionsread 8 August 2026
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Я спросил у вендора… Представьте: вы выбираете HR-решение и встречаетесь с потенциальными поставщиками. Какие вопросы задать вендорам, чтобы: a) провести переговоры максимально продуктивно; б) сразу выявить красные флаги; в) понять, что обещания вендора реалистичны? В карточках — несколько советов от нашей команды. А больше практических рекомендаций о том, как собрать проектную команду и составить ТЗ, ищите в наше

🔥5

30 Jun 2026, 08:54 UTC197 views7 reactionsread 8 August 2026
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Топ-3 кейса для автоматизации Попросили Лену Бахлову рассказать о самых болезненных для HR-специалиста процессах, выполнять которые вручную сродни изощренной пытке 🥲 Узнали себя и свою работу? Значит, пора автоматизироваться! 💭 К сожалению, HR часто приходится выполнять дублирующие операции: вручную переносить данные, перепечатывать одно и то же, объединять Excel-таблицы. 1️⃣Самый больной процесс — все, что касае

6custom 52041101720326228231

Showing the 9 most recent of 9 posts we hold for @neonhrm. 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 — 281,341 of 1,481,217entries 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

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.

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

“Включай HR | Neon” (@neonhrm), 870 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/neonhrm.

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.