Telegram RegisterThe public register of Telegram

Channel

Designar.ru

@designar_ru

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry

4,635subscribers

-10 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001141817740
TypeChannel
Username@designar_ru
Created15 May 2017measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held5
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/designar_ru

Growth

4,6354,6454,6406 August 2026 — 4,645 subscribers6 August 2026 — 4,645 subscribers6 August 2026 — 4,644 subscribers9 August 2026 — 4,643 subscribers13 August 2026 — 4,635 subscribers6 August 202613 August 2026
5 measurements spanning 7 days, net -10. 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 4,634–4,647 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 06:264,635-8
9 Aug 2026, 20:214,643-1
6 Aug 2026, 14:024,644-1
6 Aug 2026, 03:524,645no change
6 Aug 2026, 03:364,645first reading

Engagement

26 posts held, back to 11 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 7 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
25.3%
avg views ÷ 4,635 subscribers
Avg views / post
1,170
24 posts measured
Reaction rate
1.10%
reactions ÷ views · ER floor
Posts in window
24
of 26 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 23 of 24 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 11 August 2026
Posts held26 (11 July 202611 August 2026)
Views total28,112
Reactions total296
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 05:39 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
58s
Average length
58s

Measured directly from 1 video 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

311 reactions across 25 posts, in 22 distinct kinds. The most used accounts for 43.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥13643.7%
5517.7%
😁247.72%
👍206.43%
❤‍🔥103.22%
🍓92.89%
😢82.57%
👎72.25%
custom 538682554116263939861.93%
😱51.61%
🤝41.29%
🤡41.29%
custom 531461653664263253630.965%
custom 538654133029176116630.965%
custom 538885528257718642730.965%
👀30.965%
🫡30.965%
👏20.643%
😍20.643%
😭20.643%
2 further kinds20.643%

Custom emoji. 4 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 areTelegram’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 25 of the 26 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 311reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 26 most recent posts we hold, published 11 July 2026 to 11 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
3
across the posts below
Posts paid on
3
of 26 we hold a reading for · 12%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @designar_ru. 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 26 most recent posts we hold for this entry, published 11 July 2026 to 11 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.

Recent posts

11 Aug 2026, 19:24 UTC478 views3 reactionsread 12 August 2026

И прямо в продолжение пост о штате или фрилансе от Александра (продакшн директор) Читать тут

1👀1👍1

11 Aug 2026, 08:17 UTC726 views13 reactionsread 12 August 2026
Photo

Сегодня вышел пост о важности нахождения в определенном месте цепочки продакшена и как это связано с вашим доходом. Год назад был #опрос о типе работы (студия, фриланс и т.д.), можно посмотреть результаты здесь, Есть сложность: Топ-5 групп дают 60% совокупной выручки рынка (745 из 1 237 млрд ₽). А топ-3 - OKKAM, Media Instinct, SkyAlliance - почти половину. Это классический «тяжёлый хвост» консолидированного рын

👍7🔥3👏21

10 Aug 2026, 15:54 UTC803 views10 reactionsread 12 August 2026
Photo

#memes Странно, что у кого-то в редшит не получается красиво, это же лидирующий в индустрии по скорости и кинематографическому виду рендер 🌟 Персональные консультации ⭐️ тг::designar

😁8🔥1😎1

10 Aug 2026, 08:42 UTC856 views15 reactionsread 12 August 2026

Отличный пример, с чем уходит участник интенсива - оформленный проект в портфолио. ✅ 5-6 недель поработали без огня, с выходными и нормальным сном ✅ фидбек получили ✅ поддержку получили ✅ созвоны получили ✅ знания получили ✅ навыки отработали ✅ сделали проект, который бы возможно в соло не потянули, или переживали бы, что не потянули ✅ довольные отправляем клиентам обновленное портфолио 🌟КРАСОТА!🌟 О новых анонсах

🔥12👍21

9 Aug 2026, 09:11 UTC939 views14 reactionsread 12 August 2026

Posted without readable text

🤡4custom 53868255411626393984🔥3custom 53146165366426325363

7 Aug 2026, 15:28 UTC≈1,050 views25 reactionsread 12 August 2026

https://youtu.be/LhWCVXRn9xk Я не записываю уроки, потому что не знаю, куча авторов, много талантов, кажется, что уже про всё рассказано... Тем временем Ник :D 🎓 Курсы и интенсивы 🔎 Разбор твоих проблем в работе ⭐️ тг::designar

11😁7custom 53865413302917611663custom 53868255411626393982💋1🔥1

4 Aug 2026, 16:48 UTC≈1,180 views53 reactionsread 12 August 2026
Forwarded from @adrogan_artPhoto

Мне всегда не хватало на камере Redshift одной простой вещи: вкладки типа Project, чтобы можно было выключить видимость объектов для конкретной камеры. Через тейки делать не хотелось. Всегда удивлялся, почему такой функции нет. Взял и сделал. Скачать RS_CamExclude Накидываете тег на камеру и добавляете в него объекты. Я изобрёл велосипед или норм?

🔥447custom 53888552825771864272

31 Jul 2026, 13:32 UTC≈1,560 views14 reactionsread 12 August 2026
Photo

Про блендер есть, про майю есть, а про синему забыли Думайте! Хотя этот подход уже давно видел в инсте, где подкидывается аниматик, 1ый кадр нанобананнится, а потом получается 3д ролик. Возможно мы, тридэшники, еще пригодимся, потому что вместо того, чтобы тратить тысячу токенов проще дать моушен-дизайнеру три суперсникерса, один макарун, открытую шаварму и получить превиз всего ролика к утру, а потом закинуть э

😁7👎52

29 Jul 2026, 16:18 UTC≈1,350 views10 reactions1 Starread 12 August 2026

https://www.behance.net/gallery/253459577/A-product-image-film-and-a-series-of-key-visuals Очень нравится такая стилистика, потому что она выглядит минималистичной: абстрактные формы, чистые материалы, мягкое "простое" освещение Но делать её не легко, ведь надо подумать над текстурами, фактурами, иметь высокий уровень абстрактного мышления, потому что нужно визуализировать что-то несуществующее, на подобие "проце

👍8😍2

29 Jul 2026, 11:59 UTC≈1,020 views21 reactionsread 12 August 2026
Forwarded from @adrogan_artPhoto

Собрал SplineExport — плагин для Cinema 4D, который позволяет экспортировать сплайны в векторе буквально в пару кликов. Выделяем объект, открываем Spline Export — и получаем готовый контур. Плагин работает со сплайнами, текстом, Extrude, иерархиями и простыми полигональными объектами. Несколько элементов можно оставить в исходном положении или автоматически разложить плотным рядом либо столбиком. Экспортирует в AI,

🔥19😱2

29 Jul 2026, 11:59 UTC≈1,040 views3 reactionsread 12 August 2026

Андрей на созвоне показывал свои вайбокодерские тулзы, мы ему сказали, что нам нужны релизы, ну он и сделал:

3

29 Jul 2026, 07:10 UTC≈1,090 views7 reactionsread 12 August 2026

Подошёл к концу короткий мастер-класс с моушн-дизайнерами, работающими в Blender, в рамках подготовки дипломных работ в БВШД. Был полноценный фидбек по композиции, цвету, свету и материалам. Конечно же, использовали и ИИ. Самое интересное для меня в этом процессе: ✅ не было заготовленных лекций — только живой интерактив: вопросы-ответы, немного теории, разбор типов композиции и гайдов для выстраивания кадра. ✅ со

7

Showing the 12 most recent of 26 posts we hold for @designar_ru. 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.

Citation-graph rank

Citation-graph rank — 164,819 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

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 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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“Designar.ru” (@designar_ru), 4,635 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/designar_ru.

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.