Marketing & affiliate — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 12 September 2026 and assigned it the closest of 31 fixed categories, at 68% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
14 measurements spanning 44 days, net +239. 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 7,303–7,614 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
18 Sept 2026, 17:40
7,578
+7
14 Sept 2026, 01:37
7,571
+8
10 Sept 2026, 04:39
7,563
+13
4 Sept 2026, 22:18
7,550
+1
1 Sept 2026, 11:17
7,549
-13
29 Aug 2026, 16:27
7,562
+42
26 Aug 2026, 07:53
7,520
+8
23 Aug 2026, 01:04
7,512
+35
19 Aug 2026, 05:26
7,477
+11
16 Aug 2026, 15:47
7,466
+19
13 Aug 2026, 01:07
7,447
+10
9 Aug 2026, 19:02
7,437
+9
6 Aug 2026, 19:30
7,428
+89
6 Aug 2026, 05:37
7,339
first reading
Engagement
21 posts held, back to 6 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 16 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
12.8%
avg views ÷ 7,578 subscribers
Avg views / post
971
3 posts measured
Reaction rate
3.19%
reactions ÷ views · ER floor
Posts in window
3
of 21 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
21 (6 July 2026 – 27 August 2026)
Views total
2,912
Reactions total
93
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Aug 2026, 22:13 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 12s
Average length
44s
Measured directly from 3 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
729 reactions across 18 posts, in 13 distinct kinds. The most used accounts for 28.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
206
28.3%
❤
200
27.4%
⚡
89
12.2%
❤🔥
89
12.2%
🤩
41
5.62%
🎉
33
4.53%
👍
26
3.57%
👏
25
3.43%
🥰
11
1.51%
👎
3
0.412%
👀
2
0.274%
💅
2
0.274%
🤔
2
0.274%
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 21 of the 21 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 848 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 21 most recent posts we hold, published 6 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.
Telegram Stars
Stars received
1
across the posts below
Posts paid on
1
of 21 we hold a reading for · 5%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @onyagency. 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 21 most recent posts we hold for this entry, published 6 July 2026 to 27 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.
Где бизнес теряет клиентов — от первого касания до оплаты?
Трафик на сайт есть, товары смотрят, в корзину добавляют, но до покупки доходит меньше клиентов, чем хотелось бы. Бизнес часто ищет проблему в рекламе, хотя причина может быть в том, что происходит после перехода на сайт.
Вместе с CloudPayments разобрали клиентский путь в электронной торговле — от первого знакомства с брендом до оплаты. Пять точек, где чаще…
Бренд-архитектура начинается не с логотипов или названий, а с простого вопроса: «какую роль каждый бренд играет в портфеле?»
На вебинаре «Бренд-архитектура в ИТ» разбирались, как определить роль каждой сущности в ИТ-экосистеме, когда действительно нужен отдельный бренд и какую связь с материнским ему стоит выстроить.
Ключевые факты — в карточках. А полную запись вебинара смотрите по ссылкам:
Смотреть на YouTube
См…
Хорошая айдентика начинается до дизайна
Перед тем как обсуждать логотип, цвета и шрифты, важно ответить на несколько вопросов о самом бренде. Они помогут команде быстрее прийти к сильному решению, сократить количество правок и сделать дизайн не просто красивым, а работающим на задачи бизнеса.
Собрали 5 вопросов, на которые стоит ответить до старта проекта.
А подробнее о том, как мы создаём визуальные системы, меня…
Большой бюджет ≠ фестивальная работа
Креативные фестивали — не только про награды. Для бизнеса любого масштаба это способ заявить о себе, усилить репутацию и выйти за рамки своей аудитории.
Но насколько реально небольшим компаниям конкурировать с крупными игроками? И что в итоге важнее — ресурсы и масштаб проекта или сильная идея?
26 августа, в 19:00, на стриме с Музеем советских игровых автоматов и Первым брендин…
Как идея «быть рядом всегда» стала основой нового бренда Everia Life
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Она проявилась и в айдентике, и на сайте: в мягких формах, градиентах и тёплом фотостиле с живыми сюжетами. А н…
Линда Косичкина, арт-директор ONY — в новом выпуске подкаста «Дизайн Прост» 🖤
Поговорили о том, как меняется роль дизайнера в условиях цифровой трансформации (а изменения — это вообще наша история), почему сегодня важна мультидисциплинарность и как новые инструменты влияют на профессию.
Слушать выпуск — по ссылке 🔗
Вы точно видели наши работы сегодня и видите их каждый день — даже если не знали, что это ONY
Сегодня у нас день рождения — уже 26 лет мы помогаем брендам становиться лидерами в своих категориях и меняем представление о целых индустриях.
Загибаем пальцы. Айдентика Третьяковки и уже привычный дизайн машин Яндекс Go. Ребрендинги X5, hh.ru, Lime и Эконики. Развитие визуальной системы МТС. Интернет-магазин Золотого Ябл…
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На вебинаре 18 августа поговорим о том, как распределить ро…
Хороший дизайн — это забота 🖤
Десять лет в танцевальной индустрии научили Сергея Бреуса чувствовать визуальную культуру раньше, чем он решил стать дизайнером.
Сегодня Сергей — старший цифровой дизайнер ONY. В нашей рубрике «5 вопросов дизайнеру» он рассказывает, почему референсов недостаточно для хорошей идеи, как найти систему в хаосе мыслей и зачем дизайнеру сначала отвечать на вопрос «почему именно так?».
➡️ Н…
Продолжаем рассказывать о наших экспертах на СРЕДЕ 🖤
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Попросили Богдана рассказать, что помогает диджитал-кейсам выделяться среди конкурентов, и поделиться своими ожиданиями от работ:
«Конечно, больше всего интересны компании и продукты, которые не боятся экспериментировать и делать не так, как принято. …
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Оказалось, что сложность редко в самом исследовании. Гораздо чаще — в том, как сегменты используют в маркетинге, продукте и еже…
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Особенно заметно это в ИТ, где многие говорят о себе одинаковыми словами, а пользователи всё чаще ищут решения через нейросети, а не поисковые системы…
🔥22⚡5🤩4❤🔥2❤1
Showing the 12 most recent of 21 posts we hold for @onyagency. 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.
Posts edited after publishing
@onyagency edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
12 August 2026
Most recent edit
12 August 2026
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 5 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.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
Студия Артемия Лебедева @artlebedev · 22,083 Telegram ranks this channel #20 of 96 here — alongside 95 others — read 21 September 2026
Magazine Design @magazine_design · 24,356 Telegram ranks this channel #24 of 95 here — alongside 94 others — read 16 September 2026
ФРИЛАНСИКИ @polyaluzjob · 59,438 Telegram ranks this channel #25 of 97 here — alongside 96 others — read 22 August 2026
Now How Channel @nowhow · 24,638 Telegram ranks this channel #49 of 98 here — alongside 97 others — read 15 September 2026
Bang Bang Education @bbe_school · 25,425 Telegram ranks this channel #50 of 96 here — alongside 95 others — read 14 September 2026
Точка входа @bbe_jobs · 25,325 Telegram ranks this channel #58 of 98 here — alongside 97 others — read 14 September 2026
поле @poledsgn · 22,517 Telegram ranks this channel #59 of 97 here — alongside 96 others — read 20 September 2026
дизайнерс.сайты @cyrillicdesign · 34,994 Telegram ranks this channel #87 of 99 here — alongside 98 others — read 2 September 2026
Оди @awdee · 33,565 Telegram ranks this channel #89 of 97 here — alongside 96 others — read 4 September 2026
Дизайн-снайпер @designsniper · 28,081 Telegram ranks this channel #91 of 96 here — alongside 95 others — read 10 September 2026
This channel appears in 10 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“ONY” (@onyagency), 7,578 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/onyagency.
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.