3 measurements spanning 8 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 108–109 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
15 Aug 2026, 18:12
108
-1
9 Aug 2026, 07:45
109
no change
7 Aug 2026, 09:47
109
first reading
Engagement
15 posts held, back to 26 October 2025 — 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
80.9%
avg views ÷ 108 subscribers
Avg views / post
87.3
3 posts measured
Reaction rate
7.63%
reactions ÷ views · ER floor
Posts in window
3
of 15 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 6 August 2026
Posts held
15 (26 October 2025 – 6 August 2026)
Views total
262
Reactions total
20
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
9 Aug 2026, 07:45 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
29s
Average length
15s
Measured directly from 2 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
164 reactions across 15 posts, in 7 distinct kinds. The most used accounts for 52.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
86
52.4%
🔥
56
34.1%
👍
13
7.93%
🥰
4
2.44%
😱
2
1.22%
🤗
2
1.22%
🌚
1
0.61%
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 15 of the 15 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 164reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 15 most recent posts we hold, published 26 October 2025 to 6 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.
Александра Гейфман — психолог, сексолог и основатель психологического центра «Точка Gейфман».
Александра приедет к нам из Москвы и выступит с темой «Самозванец дизайнера. Как с ним подружиться?». Передаем слово Александре о чем будет ее лекция:
Мы привыкли думать, что синдром самозванца — это история про низкую самооценку. Но что, если его причина совсем в другом? На лекции поговорим о скрытой агрессии, внутреннем к…
Мы начинаем знакомить вас со спикерами третьего сезона Design Around Meetup!
Артем Любавский — старший UX/UI дизайнер в студии Зефир. Преподаватель в IThub.
Артем выступит с темой «Дизайн-концепт, которому говорят «Да!»» и вот, что он рассказывает о своей лекции:
Будь то продажа концепта бизнесу, заказчику на фрилансе или клиенту вашей студии — всем нам хочется одного. Реакции — ДА ЭТО ЖЕ А****НО, ДАВАЙТЕ ДЕЛАТЬ!
…
Друзья! Напоминаем, что у нас есть чат 😉
Мы подумали, что 1-2 митапа в год это как-то мало и нужно встречаться чаще. Подумали — значит надо реализовывать!
Добавляйтесь в чат. Все анонсы регулярных встреч и мастер-классов будут только там.
Давайте расширять дизайн-коммьюнити в Питере: общаться, кидать интересные ссылки, задавать вопросы и договариваться о встречах. Сделаем наше общение более близким и активным!
Ск…
Как и обещали, на нашем сайте стала доступна онлайн-оплата. Теперь билет на митап стало купить еще проще!
Доступны все популярные способы оплаты: картой, СБП, Я.ПЭЙ и даже в Сплит.
Совсем скоро мы объявим первых спикеров, а пока у нас все еще есть места и если вы хотите выступить на нашем митапе, то успейте подать заявку сюда.
До встречи 29 августа на Design Around Meetup №3!
————
А пока ждете события, можно пон…
Друзья! Давайте проводим это лето вместе с Design Around Meetup ❤️
Мы рады сообщить, что митап состоится в Санкт-Петербурге, 29 августа в 12:00. В этот раз вас снова ждет крутая программа: 6 спикеров, нетворкинг и афтерпати.
Сейчас мы активно ищем спикеров и если вы один из них, то подавайте заявку сюда
А если вы уже знаете, что хотите быть нашим участником, то билеты можно брать у @egorkabass. Скоро мы настроим о…
Салют! Совсем скоро будут новости о новом митапе, а пока мы предлагаем классно понетворкать друг с другом.
Неотъемлемой частью наших встреч является нетворкинг и если вы по нему соскучились, то у вас есть прекрасная возможность найти новые знакомства!
Итак, знакомьтесь! Design Around Talks. Пока это тг-бот с возможностью нетворкинга в формате random coffee, но в планах вырастить из этого крутой продукт. Но пока все…
Вот и прошел Design Around Meetup №2!
Немного цифр:
— В этот раз нас было почти 40 человек
— 5 классных спикеров
— 5 часов интереснейших лекций, общения и знакомств
Огромная благодарность нашим лучшим спикерам:
Лиза Успенская — ее канал Мир HR в IT
Савва Самарин — его канал савва дизайнер
Александра Григорьян — ее канал Artanta_design
Олеся Михайлина — ее канал o_m_webdesign
Катя Новая — ее канал новый визуал
Огро…
Завершает Design Around Meetup Катя Новая — дизайнер из Яндекс Маркет, блогер
Катя рассказывает лекцию про поиск работы и откуда взять дизайнеру денег!
После небольшого перерыва на кофе и нетворкинга мы возвращаемся к лекциям 😎
Олеся Михайлина — веб-дизайнер и преподаватель ворвалась с лекцией о том как собрать свой вау-кейс!
Наш второй спикер — Савва Самарин уже начал свою лекцию о взаимодействии разработчиков и дизайнеров!
Если вы еще хотите забежать на наш митап, то билеты еще есть. Мы вас ждём! Пишите @egorkabass
❤7🔥4
Showing the 12 most recent of 15 posts we hold for @designaroundmeetup. 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 — 379,055 of 1,480,688entries 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.
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@designaroundmeetup named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@savva_designer named in 1 post, 10 August 2026 – 10 August 2026
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 15 August 2026 — this
entry's latest reading, not the date you are reading this.
“Design Around Meetup” (@designaroundmeetup), 108 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/designaroundmeetup.
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.