4 measurements spanning 6 days, net -8. 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 3,746–3,756 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 13:05
3,747
-6
9 Aug 2026, 15:11
3,753
-2
6 Aug 2026, 14:50
3,755
no change
6 Aug 2026, 10:48
3,755
first reading
Engagement
16 posts held, back to 9 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 4 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
33.1%
avg views ÷ 3,747 subscribers
Avg views / post
1,240
9 posts measured
Reaction rate
1.95%
reactions ÷ views · ER floor
Posts in window
9
of 16 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 7 August 2026
Posts held
16 (9 July 2026 – 7 August 2026)
Views total
11,164
Reactions total
218
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Aug 2026, 06:15 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
Video runtime
2m 45s
Average length
41s
Measured directly from 4 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
372 reactions across 16 posts, in 18 distinct kinds. The most used accounts for 30.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
115
30.9%
👍
99
26.6%
🔥
66
17.7%
🥰
44
11.8%
👏
12
3.23%
🤝
8
2.15%
✍
7
1.88%
👌
5
1.34%
❤🔥
4
1.08%
🦄
3
0.806%
⚡
2
0.538%
🆒
1
0.269%
🐳
1
0.269%
👀
1
0.269%
💔
1
0.269%
😎
1
0.269%
😱
1
0.269%
🤔
1
0.269%
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 16 of the 16 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 372reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 16 most recent posts we hold, published 9 July 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.
Что такое СХД и зачем она нужна?
В прошлых выпусках говорили о серверах. Теперь разбираемся с системами хранения данных.
СХД — это не просто диски в стойке, а полноценный продукт: контроллеры, кэш, ПО, протоколы доступа. Все это работает в комплексе для одной цели — обеспечить бесперебойный и быстрый доступ к данным с максимальной надежностью
В новой статье блога:
🔍чем блочные СХД отличаются от файловых и объектны…
Вокруг российских серверов до сих пор много вопросов — и еще больше мифов.
В новой статье блога разобрали 7 самых популярных: от «в России нет своего производства» до «российские серверы покупает только госсектор».
Спойлер: закупки растут, а серверы на базе процессоров Xeon 6 не уступают зарубежным аналогам ни по производительности, ни по функционалу.
📄 Подробнее в статье нашего образовательного блога
Мы уже второй день на IT-Camp 2026
Вчера показали стенд и линейку — сегодня стенд показывает себя сам:
Наш стенд стал точкой притяжения для молодых специалистов и тех, кто уже выбрал для себя работу в ИТ-отрасли. Гости крутят в руках железо, а также знакомятся с «Рудироном» — нашим решением в области образовательной робототехники. И, кажется, мы познакомились с половиной будущих коллег.
Если после разговора о рабо…
🚀 Мы на IT-Camp 2026
В Москве стартовала всероссийская образовательная программа для студентов и ИТ-специалистов — и «Аквариус» уже здесь в качестве технологического партнера мероприятия.
На стенде: решения для современной ИТ-инфраструктуры: серверы, ноутбуки, планшеты, смартфоны, персональные компьютеры.
Ждем вас на нашем стенде с 4 по 6 августа: поговорим про продукты, обсудим реальные сценарии применения и карь…
Константин Нахимовский, «Аквариус»: У нас новые амбиции, но те же принципы глубокого проектирования и уважения к инженерии
ГК «Аквариус» последовательно развивает модель производителя полного цикла, охватывающую все уровни ИТ-инфраструктуры: телекоммуникационное оборудование и беспроводные сети, вычислительное ядро из серверов и СХД, клиентские устройства и решения для корпоративной мобильности.
В интервью TAdviser…
Производственный комплекс «Аквариуса» в Твери — победитель регионального этапа конкурса «Российская организация высокой социальной эффективности»
Одержали победу сразу в трех номинациях:
⭐️ «За развитие кадрового потенциала в организациях производственной сферы»
⭐️ «За формирование здорового образа жизни в организациях производственной сферы»
⭐️ «За трудоустройство инвалидов в организации»
Гордимся и ждем федераль…
Карьера в ИТ начинается не с оффера. А с правильной точки входа.
У «Аквариуса» она есть — VK-сообщество «Больше чем старт» для студентов и молодых специалистов.
Что внутри:
🔗 Эксклюзивные анонсы стажировок и вакансий
🔗 Карьерные лайфхаки от HR-экспертов «Аквариуса»
🔗 Реальные истории стажеров и сотрудников
Подать заявку на стажировку👈🏻
Подписаться на «Больше чем старт»🔍
Что находится внутри корпуса современного надежного ПК для бизнеса и госсектора?
Детально разбираем линейку защищенных настольных компьютеров AQdesk P30 K50 и AQdesk P30 K51, разработанную для организаций с высокими требованиями к ИБ, и на конкретных примерах показываем, какие компоненты гарантируют надежность и скорость.
Читать статью в блоге
🤖 «Аквариус» представил результаты запуска образовательного проекта по робототехнике в Тверской области
С 2024 года программа охватила более 35 образовательных учреждений — от школ и «Кванториумов» до колледжей и вузов. Успешные результаты подтвердили готовность проекта к масштабированию в других регионах России.
«Мы видим, как отечественные робототехнические решения уже сегодня успешно интегрируются в образователь…
Как устроен взрывобезопасный планшет Aquarius AQpad R480M Ex?
Безопасная мобильная работа во взрывоопасных средах с присутствием горючих газов, паров и пыли. Планшет сочетает защищенное исполнение и производительность для работы на промышленных объектах.
О том, как устроен наш новый планшет, читайте в нашей свежей статье в блоге
Читать статью👈🏻
Лето и начало осени обещают быть насыщенными на ИТ-события.
Собрали ближайшие партнерские мероприятия, где можно встретить команду «Аквариуса» 👇
📍 6 августа, Санкт-Петербург — ИТ-Ритм 2026
Специализированная ежегодная конференция для руководителей и специалистов ИТ-подразделений крупных компаний, российских разработчиков ПО и производителей оборудования. В центре внимания — тренды развития информационных технологий …
👍9❤6🥰2
Showing the 12 most recent of 16 posts we hold for @aquariuspublic. 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 — 423,442 of 1,478,351entries 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 2 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.
Cross-platform identity — Wikidata
A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.
This handle named by sources this register does not control and did not measure — each shown exactly as found, attributed by name, dated to when it was read.
Wikipedia
One Wikipedia article names this handle in its article text, found by searching for a t.me link inside the article source. A citation is a notability signal, not a verification: nobody here confirmed the cited post is genuine or still says what the article quotes. Article text is CC BY-SA 4.0, Wikipedia contributors; snippets below are short excerpts.
Аквариус (компания)(ru.wikipedia.org) “…== Ссылки ==
* {{Официальный сайт|www.aq.ru/}}
* [https://t.me/aquariuspublic https://t.me/aquariuspublic '''—'''] официальный телеграм канал Аквариус…” read 9 August 2026
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 12 August 2026 — this
entry's latest reading, not the date you are reading this.
“ГК «Аквариус»” (@aquariuspublic), 3,747 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/aquariuspublic.
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.