Telegram RegisterThe public register of Telegram

Channel

Orion soft на связи

@orionsoftru

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

3,432subscribers

+18 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001854910457
TypeChannel
Username@orionsoftru
CreatedBetween 1 October 2022 and 31 August 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held3
Confirmed unchanged2 times, most recently 13 August 2026
On Telegramt.me/orionsoftru

Growth

3,4143,4323,4236 August 2026 — 3,414 subscribers6 August 2026 — 3,414 subscribers10 August 2026 — 3,432 subscribers6 August 202610 August 2026
3 measurements spanning 4 days, net +18. 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 3,411–3,435 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Aug 2026, 15:323,432+18
6 Aug 2026, 21:153,414no change
6 Aug 2026, 21:043,414first reading

Engagement

16 posts held, back to 21 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 3 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
29.3%
avg views ÷ 3,432 subscribers
Avg views / post
1,000
16 posts measured
Reaction rate
1.82%
reactions ÷ views · ER floor
Posts in window
16
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
WindowRolling 30 days · latest post in window 7 August 2026
Posts held16 (21 July 20267 August 2026)
Views total16,078
Reactions total293
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 23:15 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.

Reaction mix

293 reactions across 16 posts, in 12 distinct kinds. The most used accounts for 25.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥7625.9%
custom 53888979316024576185819.8%
custom 53911969545815617745619.1%
custom 5289942245879869108268.87%
👍227.51%
🤩217.17%
❤‍🔥155.12%
🆒93.07%
🎉41.37%
🤓31.02%
custom 544085543088241450420.683%
🤔10.341%

Custom emoji. 4 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 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 293reactions 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 21 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.

Telegram Stars

Stars received
3
across the posts below
Posts paid on
3
of 16 we hold a reading for · 19%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @orionsoftru. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 16 most recent posts we hold for this entry, published 21 July 2026 to 7 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

7 Aug 2026, 09:03 UTC427 views9 reactions1 Starread 7 August 2026
Forwarded from @cloudlink_cmpPhoto

🌐 Встречайте новый релиз Cloudlink v1.40! Что нового? ⭐️ В контрольной панели и пользовательском портале появился раздел «Сети», предназначенный для управления объектами SDN для подключений zVirt. В нем собраны инструменты для управления сетевыми сегментами, внешними сетями, роутерами и группами безопасности. При создании виртуальных машин теперь можно подключать до пяти дополнительных сетевых интерфейсов, выбирать

🔥5👍2🆒2

4 Aug 2026, 11:40 UTC688 views8 reactionsread 7 August 2026
Photo

⭐️Инфраструктура для разработки на гиперскорости: сервисы самообслуживания и MCP в HyperDrive 18 августа в 11:00 (мск) на онлайн-вебинаре объясним, как ускорить путь от кода до рабочего сервиса с помощью Internal Developer Platform. В IDP разработчик получает готовую инфраструктуру через каталог стандартных сценариев, а DevOps-инженер управляет платформой, шаблонами и политиками. Обсудим: — Почему инфраструктура с

custom 52899422458798691085custom 53888979316024576182custom 53911969545815617741

31 Jul 2026, 11:45 UTC≈1,090 views34 reactionsread 7 August 2026
Photo

❤️Всех с пятницей! А тех, кто носит или когда-то носил гордое звание системного администратора, — еще и с профессиональным праздником! Путь многих ИТ-руководителей начинался с настройки серверов, ночных дежурств и легендарного вопроса: «А вы пробовали перезагрузить?». Со временем меняются задачи и масштаб ответственности, но любовь к технологиям, желание докопаться до сути и понимание, что стабильная работа инфрастр

🤩15🔥11❤‍🔥8

31 Jul 2026, 09:15 UTC≈1,430 views7 reactionsread 7 August 2026
Photo

⭐️Вебинар: zVirt 2026 — новая платформа, развитие SDN и возможности для автоматизации и отказоустойчивости 🗓4 августа с 11:00 до 12:00 совместно с Академией Информационных Систем проведем бесплатный вебинар, посвященный развитию нашей платформы zVirt. Обсудим ключевые изменения новой версии и покажем возможности продукта на практике. В программе: ⚪️Новая платформа zVirt Node 2.0; ⚪️Миграция виртуальных машин между

🔥4custom 53888979316024576183

30 Jul 2026, 12:16 UTC≈1,090 views15 reactionsread 7 August 2026
Photo

⭐️Все хорошее когда-нибудь заканчивается. И даже наш цикл статей о разработке собственного провайдера инфраструктуры для Terraform. В новой статье на Хабре сфокусировались на ключевых решениях для построения архитектуры своего решения. На примере виртуальной машины мы рассмотрели те идеи и приемы, которые пришлось применять для достижения комфортного пользовательского опыта. 🔥— если немного грустите, что наша «пове

👍7🔥4🆒4

30 Jul 2026, 08:39 UTC964 views15 reactions1 Starread 7 August 2026

⭐️Уже видели аналитику Strategy Partners о динамике и прогнозах развития российского рынка инфраструктурного ПО? Для всех, кто не сумел пробраться сквозь много букв и цифр или уже подзабыл детали, наш директор по развитию бизнеса Максим Березин рассказывает, на что действительно стоит обратить внимание: ▪️По итогам 2025 г. российский рынок инфраструктурного ПО вырос на 16% по отношению к 2024 г., но все еще далек о

custom 53911969545815617746👍4custom 52899422458798691084custom 53888979316024576181

30 Jul 2026, 08:39 UTC861 views33 reactionsread 7 August 2026
Video message

Video message, posted without a caption

custom 538889793160245761814🔥8custom 53911969545815617747custom 52899422458798691084

29 Jul 2026, 11:49 UTC907 views27 reactionsread 7 August 2026
Photo

🔥Вы готовы? Итак, индекс готовности ИИ-инфраструктуры российских компаний по итогам I полугодия 2026 года составил 38 из 100 баллов. Получается, что несмотря на массовый интерес к искусственному интеллекту, уровень организационной и технологической готовности компаний ощутимо отстает от ожидаемых темпов внедрения. Мы опросили 100 представителей, в основном крупного бизнеса, полученные результаты опубликовал ТАСС:

custom 538889793160245761810🔥9🤩6🤓1custom 53911969545815617741

29 Jul 2026, 07:12 UTC916 views21 reactionsread 7 August 2026
Photo

💫 Крупнейшая просветительская организация страны российское общество «Знание» мигрировало всю действующую инфраструктуру на виртуализацию zVirt с Microsoft Hyper-V. С 2021 года общество развивает собственную цифровую платформу, на которой размещаются научно-популярные лекции, интервью, документальные фильмы, просветительские марафоны и другой образовательный контент. Миграция на zVirt заняла полгода, причем была ре

custom 53911969545815617749custom 53888979316024576186🤓2🆒2custom 54408554308824145042

28 Jul 2026, 10:45 UTC740 views22 reactionsread 7 August 2026
Forwarded from @it2b_channelPhoto

Эксклюзив СофтТех: Утечки данных пользователей ИИ-сервисов стали уже давно нормой — в выдаче поисковиков то и дело появляются рабочие документы, черновики, резюме с телефонами, API-ключи, адреса криптокошельков и другие данные, которыми люди делились с нейросетями. Вопрос о том, как безопасно пользоваться ИИ, становится ключевым, и поговорить о нем мы решили с Никитой Векессером, руководителем продуктов Nova AI и St

🔥13custom 53888979316024576185custom 53911969545815617744

27 Jul 2026, 12:39 UTC854 views24 reactionsread 7 August 2026
Photo

Нет, мы пока не собрали секретный ИИ-инструмент, который делегирует все процессы... Но зато мы узнали много нового про тренды применения ИИ-агентов в инженерных процессах от эксперта Алексея Белякова, который подготовил целый доклад на эту тему. Небольшой спойлер: чтобы делать удобные ИИ-инструменты для компании, важно уметь строить процессы с постепенной интеграцией ИИ, а не решать все за один раз. Остальный инса

custom 538889793160245761810custom 53911969545815617747custom 52899422458798691086👍1

27 Jul 2026, 09:25 UTC961 views19 reactionsread 7 August 2026
Photo

⭐️Началось... В последние дни в мире активно обсуждают утечки переписок пользователей с DeepSeek и Claude. Ссылки на часть общих чатов оказались проиндексированы поисковиками и находятся через обычный поиск. По сообщениям пользователей и СМИ, в выдаче встречались рабочие документы, черновики, резюме с телефонами, API-ключи, адреса криптокошельков и другие данные, которыми люди делились с нейросетями. Для российских

🔥9👍6❤‍🔥2🤔1custom 53911969545815617741

Showing the 12 most recent of 16 posts we hold for @orionsoftru. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Citation-graph rank

Citation-graph rank — 135,961 of 1,169,250entries 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.

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

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.

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

“Orion soft на связи” (@orionsoftru), 3,432 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/orionsoftru.

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.