4 measurements spanning 15 days, net +3. 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 641–644 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
22 Aug 2026, 17:42
644
+2
15 Aug 2026, 19:04
642
+1
8 Aug 2026, 02:48
641
no change
7 Aug 2026, 12:29
641
first reading
Engagement
10 posts held, back to 3 June 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 1 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
26.7%
avg views ÷ 644 subscribers
Avg views / post
172
2 posts measured
Reaction rate
6.40%
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
Window
Rolling 30 days · latest post in window 4 August 2026
Posts held
10 (3 June 2026 – 4 August 2026)
Views total
344
Reactions total
22
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
8 Aug 2026, 02:48 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
157 reactions across 10 posts, in 7 distinct kinds. The most used accounts for 36.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
custom 5415963857724139827
58
36.9%
custom 5415649629326830271
46
29.3%
custom 5415961001570885689
43
27.4%
❤
6
3.82%
🔥
2
1.27%
😁
1
0.637%
🤔
1
0.637%
Custom emoji. 3 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 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 157reactions 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 3 June 2026 to 4 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
1
across the posts below
Posts paid on
1
of 10 we hold a reading for · 10%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @hilbertteam. 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 10 most recent posts we hold for this entry, published 3 June 2026 to 4 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.
Снова в нашей постоянной рубрике #дайджест_новостей — самые важные события ИТ-индустрии за прошедший месяц.
Новости партнеров
Yandex B2B Tech анонсировала универсального ИИ-агента для бизнеса, который сможет взять на себя до 30–50% рутинных задач офисных сотрудников: от подготовки конспектов встреч до сравнения коммерческих предложений и оформления закупок. Решение построено на технологиях Yandex AI Studio, а релиз…
🧯 Через 20 минут подключайтесь к мастер-классу на Kuber Community Day
В 12:10 CTO Hilbert Team Алексей Цыкунов расскажет про создание оператора – с нуля до kubectl apply.
Если вы не на мероприятии, присоединяйтесь к онлайн-трансляции на любой удобной площадке:
VK: Techno
RuTube: Techno
YouTube: Techno
#мероприятия_оффлайн
☁️ «Мы слишком много платим за облако. Что делать?»
Именно так сегодня начинается большинство разговоров про FinOps. Не с внедрения методологии и построения процессов, а с простого запроса — понять, где мы переплачиваем.
Но здесь есть риск. Желание быстро сократить расходы и получить quick wins может привести к решениям, которые ухудшают производительность сервисов или создают новые риски для бизнеса. Как всё сдела…
Hilbert Team снова подтвердила статус Yandex Cloud Professional
По двум ключевым направлениям:
⚙️Infra & DevOps
⚙️Data Platform
Подтверждение статуса проходит ежегодно и включает сертификацию инженеров компании, а также представление реализованных за год проектов.
Статус открывает дополнительные возможности при работе с нашими заказчиками:
☑️ софинансирование пилотных проектов со стороны Yandex Cloud и гранты на п…
Один из крупнейших маркетплейсов и Hilbert Team: инфраструктура, которая не тормозит рост
Дано: почти 200 сервисов на on‑prem, миграция в облако шла слишком медленно, а к пиковому сезону нужно было успеть.
Решение: за 12 недель построили «фабрику миграций» – конвейер переноса в Managed Kubernetes на Yandex Cloud с четкими правилами и автоматизацией.
Результат: скорость выросла на 200%, инфраструктура готова к нагр…
Вы заметили, что уже наступил июль? Если нет, то наша постоянная рубрика #дайджест_новостей вам об этом напомнит, так как именно с ней мы вспоминаем важные события в ИТ-индустрии за уходящий месяц.
Новости партнеров
Yandex B2B Tech расширил линейку on‑premises, добавив сервисы «Трекер», «Вики» и «Формы». Эти решения предназначены для компаний с повышенными требованиями к безопасности (банки, медицина, финтех) и син…
🧯 Наш CTO – спикер на Kuber Community Day
30 июля в Москве пройдет Kuber Community Day. Это конференция для тех, кто живет и дышит кластерами и контейнерами. Только технологии, хардкор и живое общение профессионалов.
В этом году в программе мастер-класс от CTO Hilbert Team Алексея Цыкунова по созданию оператора – с нуля до kubectl apply.
За время мастер-класса участники:
🔹 разберутся, что происходит после kubectl …
☁️ Гибридные облака: тренд или необходимость?
Российский бизнес все чаще выбирает гибридную архитектуру, но многие компании теряют до 20% ИТ-бюджета из-за фрагментарного подхода. Как построить единую управляемую среду, сочетающую безопасность on‑premise и гибкость облака?
Листайте карточки, чтобы узнать ⬆️
#аналитика
❓ Три вопроса финансового директора, которые решают судьбу бюджета на облако
При согласовании бюджета на миграцию в облако техническому директору нужно быть готовым ответить на вопросы, которые на первый взгляд не в его компетенции:
1️⃣ Почему так дорого по сравнению с нашим «железом»?
2️⃣ Какая у этого проекта финансовая отдача и срок окупаемости?
3️⃣ Почему на горизонте 3–5 лет облако выгоднее локальной инфрастру…
Встречаем лето с новым выпуском #дайджест_новостей (и надеемся на хорошую погоду).
Новости наших партнеров
Yandex Cloud получила патент на технологию объединения облаков в разных регионах, которая сочетает удобство управления с изоляцией регионов для безопасности и соблюдения локальных законов. Подход уже используется для облаков в России и Казахстане, позволяя компаниям минимизировать риски киберинцидентов и бесшо…
Showing the 10 most recent of 10 posts we hold for @hilbertteam. 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.
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 22 August 2026 — this
entry's latest reading, not the date you are reading this.
“Hilbert Team | Эксперты в DevOps” (@hilbertteam), 644 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/hilbertteam.
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.
