4 measurements spanning 7 days, net +1. 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 1,136–1,138 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
13 Aug 2026, 11:25
1,138
+2
10 Aug 2026, 09:07
1,136
-1
6 Aug 2026, 20:31
1,137
no change
6 Aug 2026, 20:19
1,137
first reading
Engagement
20 posts held, back to 17 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
45.4%
avg views ÷ 1,138 subscribers
Avg views / post
516
6 posts measured
Reaction rate
3.81%
reactions ÷ views · ER floor
Posts in window
6
of 20 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 30 July 2026
Posts held
20 (17 June 2026 – 30 July 2026)
Views total
3,098
Reactions total
118
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Aug 2026, 20:31 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
441 reactions across 20 posts, in 12 distinct kinds. The most used accounts for 29.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
128
29.0%
😁
107
24.3%
🤣
73
16.6%
❤
68
15.4%
👏
26
5.90%
💯
13
2.95%
😍
8
1.81%
🥰
7
1.59%
💔
6
1.36%
❤🔥
2
0.454%
👍
2
0.454%
👎
1
0.227%
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 20 of the 20 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 441reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 17 June 2026 to 30 July 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 20 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 @dsgn_thinking. 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 20 most recent posts we hold for this entry, published 17 June 2026 to 30 July 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.
Ребят, решил тут не спамить постоянными апдейтами. Если интересна судьба проекта — залетайте в телегу
Буду держать там в курсе новых фич, рассказывать о развитии проекта, проводить тесты платформы и дропать реферальные коды — всё будет там
🦆 @obratka_dsgn
Продолжаю ковырять, показываю промежуточный результат 👀
Для меня сейчас самое важное — настроить бэк и поженить всю логику с фронтом. А уже потом переходить к донастройке самого фронта
Что уже подключил:
— Лиги (чёткое разделение по грейдам)
— Систему рейтинга и автобанов. Сейчас мне даже не нужно вручную фиксировать нарушителей, достаточно набрать определённое количество жалоб, уронить свой рейтинг и получить авт…
Вчера и позавчера я закидывал опросы о том, как вы вообще работаете с портфолио: получаете ли обратную связь, собираете её или нет.
Плюс мне удалось найти похожие опросы в других дизайн-сообществах. А ещё я подключил результаты своего старого опросника из канала Design Lead — про портфолио и поиск работы.
В итоге у меня собралась база более чем из 2 000 ответов. И, кажется, я начал понимать, где действительно болит…
Вечерний мозго-кейс вам
В рамках дизайн-активности у моего коллеги появилась большая задача по переводу компонентов на новую семантику токенов
Есть одна большая инструкция от чуваков из дизайн-системы и непонимание, как ко всему этому подступиться
Изначально хотели создавать новые токены руками и вручную назначать их на нужный компонент
Чтобы вы правильно поняли объем ручной работы: только для кнопки там более 13…
Мастер-плагин: объединяем инструменты в единую экосистему
Недавно у моего коллеги возникла идея: вместо того чтобы множить плагины, которые сложно искать, запоминать и поддерживать, лучше собрать всё в одну сущность, управляемую из одного файла и одного места
Мне очень понравилась эта концепция, и стало интересно, получится ли реализовать её технически. Сейчас у нас на сайте два самописных плагина: плагин по редпол…
Уже несколько дней собираю портфолио в Cursor
Сегодня проснулся с непреодолимым желанием добавить к себе в портфолио ИИ-шную голову. Не знаю, откуда оно возникло, как будто приснилось чтоли. В душе не чаю, в какой нейронке это провернуть, но думаю я справлюсь
Как говорится «Векк живи — векк учись»
Прохожу как-то собес в два этапа, сначала с лидом а потом с хэдом
Первый день собес с лидом, всё шикарно
на некст дей уже с хэдом, а лид и хэд — как близнецы, ну я их и перепутал
Смотрю на хэда и уверенно называю его именем лида, типа мол я же тебе вчера рассказывал про это
В зуме повисла такая тишина, что мы оба синхронно поняли…всё, до свидания
В Казахстанском финтехе произошло знаковое событие
Kaspi банк добавил поддержку Apple/Google Pay
Почему оно знаковое и как сильно это может повлиять на рынок? Давайте расскажу по порядку
Для начала важно понимать, что Kaspi — самый крупный и успешный банк в Казахстане с базой 15 млн пользователей из 20 млн населения страны
По масштабам это если бы Альфа-Банк имел базу в 102–104 миллиона человек от общего населени…
Коллеги, на мой канал подписался наш дизайнер-директор, пожалуйста, не балуйтесь и ставьте лайки
🔥30🤣16🥰7
Showing the 12 most recent of 20 posts we hold for @dsgn_thinking. 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.
Citation-graph rank
Citation-graph rank — 158,096 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.
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.
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 13 August 2026 — this
entry's latest reading, not the date you are reading this.
“дизайн овчарка” (@dsgn_thinking), 1,138 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/dsgn_thinking.
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.