4 measurements spanning 16 days, net +4. 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 8–14 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
17 Sept 2026, 03:41
13
+3
9 Sept 2026, 21:39
10
+1
1 Sept 2026, 14:04
9
no change
1 Sept 2026, 12:15
9
first reading
Engagement
8 posts held, back to 26 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 1 page of Telegram’s post history, 20 posts per page.
ERR · 30 days
115.4%
avg views ÷ 13 subscribers
Avg views / post
15.0
1 post measured
Reaction rate
20.0%
reactions ÷ views · ER floor
Posts in window
1
of 8 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 27 August 2026
Posts held
8 (26 July 2026 – 27 August 2026)
Views total
15
Reactions total
3
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
1 Sept 2026, 12:15 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
24 reactions across 8 posts, in 6 distinct kinds. The most used accounts for 33.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
custom 5339262759794123186
8
33.3%
🦄
8
33.3%
custom 5314292094813084209
3
12.5%
custom 5321429617494466666
3
12.5%
custom 5309962265267545100
1
4.17%
custom 5337142643677732671
1
4.17%
Custom emoji. 5 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 are Telegram’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 8 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 24 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 8 most recent posts we hold, published 26 July 2026 to 27 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.
визитки для цветочного бутика «Ромашка» 🌺
Когда в названии бренда уже "живёт" цветок - чувствуется гармония. Так родилась идея: заменить букву "О" в логотипе на саму ромашку - простое решение, которое сразу считывается и работает как маленький фирменный знак!
Что было в задаче:
✅ Разработать логотип с графическим элементом
✅ Собрать шрифтовую пару: уверенный заголовок + лёгкий курсивный
✅ Свести всё в двусторонни…
Sea Sunset 🌴
Красивый летний закат на море, созданный с помощью нейросети!
Для вдохновения и сил начать день 🔋
#дизайн #design #ai #ии #вдохновение #идеи #творчество
GLASS FLOWERS 🌸
Один из опытов генерации в нейросети Grok еще пару месяцев назад. Очень интересная нейросеть, довольно красивые генерации получаются и эти цветы тому подтверждение! 💚
#дизайн #design #ai #ии #вдохновение #идеи #творчество
Акриловый приз для школьного конкурса чтецов ✍️
Разработала дизайн индивидуальной награды для МБОУ СОШ №20 г. Ставрополя. Основной задачей было объединить в одной композиции портрет А.С. Пушкина, литературную тематику и информацию о мероприятии, сохранив при этом читаемость и эстетичный внешний вид изделия
Это был один из моих заказов на самой первой работе! К сожалению, такого материала у меня осталось мало, почти…
И вишенка на торте! 🎀
Дизайн первого экрана сайта для фитнес-клуба в рамках бесплатного курса от Yudaev School (https://yudaevschool.ru/)!
Эта работа была самой интересной из всех! Я получила огромное удовольствие, создавая нечто подобное) 🥳
#design #дизайн #инфорграфика #сайт #фен #figma
Создание блока для сайта парфюма! ✨
Тоже весьма увлекательная работа в теплых оттенках! Еще один интересный опыт, благодаря Yudaev School (https://yudaevschool.ru/)!🔥
#design #дизайн #инфорграфика #сайт #фен #figma
Одна из работ - блок сайта для фена Whoosh! ❤️
Это было очень увлекательно создавать такой блок в минималистическом стиле!
Ничего лишнего - вот в чем привлекательность этого макета!
Еще раз спасибо Yudaev School (https://yudaevschool.ru/) за такой интересный опыт! ❤️
#design #дизайн #инфорграфика #сайт #фен #figma
Небольшая радость! 🤩
К сожалению, курсы для повешения своих навыков - это очень дорого, но спасибо https://t.me/yudaevdesign (Yudaev School), что сделали небольшой бесплатный марафон! ❤️
Было много новой и полезной информации, а еще очень увлекательно 🔥
Надеюсь, мне разрешат закинуть сюда работы с этого марафона, потому что они очень классные 😍
Showing the 8 most recent of 8 posts we hold for @rubyruidesign. 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.
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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“🦋 RUBYRUI ️️🦋 Графический дизайнер ️️· Художник” (@rubyruidesign), 13 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/rubyruidesign.
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.