Channel
@naukadsgn
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
9,778subscribers
-20 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001134611930 |
|---|---|
| Type | Channel |
| Username | @naukadsgn |
| Description | Канал образовательного проекта Наука Дизайна: nauka-dsgn.ru youtube.com/@naukadsgn По все вопросам @ioanndarkovski № 5503809619 |
| Created | 6 May 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 13 August 2026 |
| On Telegram | t.me/naukadsgn |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 00:27 | 9,778 | -10 |
| 10 Aug 2026, 01:11 | 9,788 | -8 |
| 6 Aug 2026, 21:10 | 9,796 | -2 |
| 6 Aug 2026, 03:30 | 9,798 | no change |
| 6 Aug 2026, 03:24 | 9,798 | first reading |
18 posts held, back to 29 August 2024 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 17 pagesof Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 18 posts for this entry, the most recent from 26 October 2025. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 15 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
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.
277 reactions across 18 posts, in 13 distinct kinds. The most used accounts for 65.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 180 | 65.0% | |
| 👍 | 18 | 6.50% | |
| 🔥 | 17 | 6.14% | |
| 👏 | 15 | 5.42% | |
| 👎 | 13 | 4.69% | |
| 🤩 | 10 | 3.61% | |
| 🗿 | 8 | 2.89% | |
| ❤🔥 | 6 | 2.17% | |
| ⚡ | 4 | 1.44% | |
| 😍 | 3 | 1.08% | |
| 😢 | 1 | 0.361% | |
| 🤨 | 1 | 0.361% | |
| 🤯 | 1 | 0.361% |
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 18 of the 18 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 277reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 29 August 2024 to 26 October 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Ребята, записал видел с инсайтами по поводу собесов. Начал проводить собеседования на позицию дизайнера в нашей компании и много нового узнал находясь со стороны нанимателя. Уверен кому то будет полезно https://t.me/gorelik_design/214
❤33🗿1
Ребята, а есть кто в Тбилиси? Ищем в новый офис продукта и креативного дизайнера (2 позиции) Присылайте в личку мне CV @ramzeszdes
❤1🔥1
Ребята, всем привет! Это Роман Горелик Я начал вести персональный журнал заметок. Буду рассказывать о карьере, о поиске работы, дизайне да и просто о моем видение. На данный момент я в поиске новой работы за границей и по шагам рассказываю что я делаю, чтобы найти работу своей мечты подходящую под мои требования. Велком! https://t.me/gorelik_design
❤26👍4❤🔥3👎2🤯1
Друзья выложил новый кейс. Поддержите лайком и комментарием https://dprofile.ru/case/123791/moda-per-bambini
❤18😍1
🛍Только до конца дня! Неделя Black friday подходит к концу. Сегодня, до конца дня, есть последний шанс забрать записи нашего флагманского курса “Композиция 2.5” всего за 17 000 за 4900₽. Доступ навсегда! Новые потоки не планируются. Купить
❤5🔥4👏3👎2
Вдохновение Большая и прекрасно организованная библиотека refero.design для вашего вдохновения и исследований в области UX/UI. Включаюет в себя реальные продукты. Ссылка #inspiration_nd
❤13🔥5👏1🗿1
⚡️Важное обращение Наше предложение на Black friday — это последняя возможность прикоснуться к курсу “Композиция 2.5”. С большой скидкой можно забрать записи с бессрочным доступом за 17 000 за 4900₽. Только до конца недели. Купить
❤4👍2👎2🔥1
⚡️Записи курса “Композиция 2.5” всего за 4900 ₽ Что тебя ждет на курсе: - Работа с большим объемом текста и особенностями верстки - Композиционное построение лонгридов и модульный дизайн - Глубокое погружение в форматы, создание историй, пространств и эффектов - Много крутых фишек - Большой блок по созданию кейса Купить
❤8👍3👎1👏1
Плагин в Figma Та самая Photopea, которая повторяет функции фотошопа прямо внутри плагина в Figma! Теперь можно “фотошопить” фотографии, применять эффекты, фильтры, добавлять текст, обрезать или изменять размер изображений. Ссылка #materials_nd
❤19👍3🗿1
Собрали ответы на самые часто задаваемые вопросы: - Записи курса без обратной связи. Только материалы и задания для самостоятельного выполнения. - Курс подойдет как новичкам, так и матерым специалистам, кто много чего знает или просто чувствует, но хочет структурировать эти знания и получить новый опыт. - Доступ к материалам бессрочный. - В ближайшем будущем новые потоки не планируются. - Оплатить можно и из заг…
🔥6😍2❤1🗿1
⚡️Брать и бежать! Мы не могли оставить вас без предложения, от которого невозможно отказаться) Объявляем неделю Black friday, в течении которой можно забрать записи нашего флагманского курса “Композиция 2.5” всего за 17 000 за 4900₽. Доступ навсегда! Купить
👏7❤4🤩2🗿1
Типографика Платформа SUVA Type Foundry с типографскими экспериментами и архивными материалами, созданные студентами, выпускниками и преподавателями EKA GD. Ссылка #materials_nd
❤12👏3🗿1
Showing the 12 most recent of 18 posts we hold for @naukadsgn. 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 — 95,804 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.
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.
Named by 7 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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
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.
“Наука Дизайна” (@naukadsgn), 9,778 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/naukadsgn.
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.