2 measurements taken within a single day. 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 104–106 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
26 Oct 2026, 11:27
105
no change
26 Oct 2026, 04:22
105
first reading
Engagement
10 posts held, back to 31 August 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 page of Telegram’s post history, 20 posts per page.
ERR · 30 days
70.2%
avg views ÷ 105 subscribers
Avg views / post
73.7
3 posts measured
Reaction rate
8.66%
reactions ÷ views · ER floor
Posts in window
3
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. It is computed over the 2 of 3 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 17 October 2026
Posts held
10 (31 August 2026 – 17 October 2026)
Views total
221
Reactions total
11
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
26 Oct 2026, 04:22 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
42 reactions across 7 posts, in 4 distinct kinds. The most used accounts for 45.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
19
45.2%
🔥
13
31.0%
❤🔥
6
14.3%
👍
4
9.52%
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 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 42 reactions 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 31 August 2026 to 17 October 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.
С корабля на бал: заочно отработали на выставке BuyBrand и уже пакуем киоски на ПИР ЭКСПО 🔥
В сентябре наши терминалы можно было увидеть на выставке франшиз BuyBrand на стенде передовой франшизы в сфере общественного питания Моккано. Были очень насыщенные дни, но дальше — больше.
26-29 октября ждём всех на ПИР ЭКСПО! Мы разместимся на совместном стенде с командой Nekassir.
Зачем заходить к нам на стенд:
· пообщать…
Команда ARBUS с амбициозной целью — оцифровать рынок HoReCa — оставила нам такой отзыв 😱
Потестировали планшет в нашем сценарии киоска самообслуживания, и нам он действительно понравился.
· экран очень отзывчивый, нажатия обрабатываются быстро;
· хорошая яркость и качество изображения – фотографии блюд и интерфейс выглядят сочно и хорошо читаются;
· компактный размер – планшет не занимает много места и хорошо смот…
Вернулись с Киноэкспо в СПб — главного съезда российской киноиндустрии 🎬
На стенде мы работали вместе с нашими партнёрами Cinemabox.
Ребята разрабатывают софт для кинотеатров, их приложений и киосков самообслуживания. А мы делаем сами киоски. Получился идеальный мэтч.
Когда железо и ПО изначально создаются с учетом особенностей друг друга, бизнес получает готовое решение долгой, сложной интеграции.
Ищете надёжные…
Мы в телевизоре, а точнее — в интернет-издании о системах самообслуживания 📺
Прочитать нашу историю и то, как мы создали «Сплит» (который теперь показываем и продаём) можно на kiosksoft.ru
А если вы и так всё про нас знаете, оставляем контакт для быстрого заказа киосков: @astrakiosk
Это мы всей командой Астры шлём вам сердечки 💕
Потому что вы своими отзывами буквально крадёте наши: ну мёд же — такое читать.
В целом — очень довольны. С первой загрузки наше ПО без нареканий и правок под реалии железо запустилось на максималку. Потери по FPS по логам перфоманса 0,02% — это ничтожно мало и скорее всего погрешности замеров, мы до 1.5% считаем допустимым.
А если вы всё ещё сомневаетесь: нужен киоск…
Здесь могло быть ваше имя, если бы вы правильно отгадали название бренда в прошлом посте 😒
Но будет реклама Астры: теперь уж чего скрывать, с нами работает Cofix.
Да-да, производство, которое родилось из небольшого стартапа в Самаре, сегодня работает с международными сетями.
А почему? Потому что думаем о бизнесе наших партнёров: как увеличить ваш средний чек, обеспечить клиенту крутой опыт и вызвать желание вернут…
❤2
Showing the 10 most recent of 10 posts we hold for @astraprom. 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.
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 26 October 2026 — this
entry's latest reading, not the date you are reading this.
“Астра | Киоски самообслуживания” (@astraprom), 105 subscribers as measured 26 October 2026. Telegram Register, tgregister.com/channel/astraprom.
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.