Claude уже важнее для дизайнера, чем Figma 📍 Вот наглядный пример из разработки нашей ИИ-платформы Utopy.ai. Дизайнер рисует на бумаге наброски, потом отдает Клоду с комментариями — а тот уже знает нашу дизайн-систему и по ней создает макеты в Фигме. Получается колоссальная экономия времени. Точно так же нейросеть может: → собирать всю аналитику по проекту и рынку → организовать работу с клиентом → создавать дизай…
![Telegram profile photo for UX/UI [by Uprock]](https://cdn.tgregister.com/av/df/df81edb0b322f0683abd6ca48687eae583d1b7adf26873e24c1ee380a64194f7.jpg)
Channel
UX/UI [by Uprock]
@uprockpro
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
18,402subscribers
-264 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001191856558 |
|---|---|
| Type | Channel |
| Username | @uprockpro |
| Description | Школа веб-дизайна: http://school.uprock.ru/ Студия: http://uprock.ru Instagram: https://www.instagram.com/zhenya.ninja/ YouTube: https://www.youtube.com/c/UPROCK Behance: https://www.behance.net/uprockpro VK: https://vk.com/uprockpro |
| Created | Between 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 11 November 2026 |
| Measurements held | 59 |
| Confirmed unchanged | 1 time, most recently 11 November 2026 |
| On Telegram | t.me/uprockpro |
Topic
Technology — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 92% 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 the other topics.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Nov 2026, 14:59 | 18,402 | -4 |
| 9 Nov 2026, 22:41 | 18,406 | -2 |
| 7 Nov 2026, 06:54 | 18,408 | -4 |
| 6 Nov 2026, 09:35 | 18,412 | -3 |
| 5 Nov 2026, 06:57 | 18,415 | +1 |
| 4 Nov 2026, 05:10 | 18,414 | -7 |
| 3 Nov 2026, 03:46 | 18,421 | -1 |
| 2 Nov 2026, 03:01 | 18,422 | -10 |
| 1 Nov 2026, 01:26 | 18,432 | -10 |
| 30 Oct 2026, 22:56 | 18,442 | -9 |
| 29 Oct 2026, 19:40 | 18,451 | -6 |
| 28 Oct 2026, 18:19 | 18,457 | -2 |
| 27 Oct 2026, 15:18 | 18,459 | -13 |
| 26 Oct 2026, 14:11 | 18,472 | -4 |
| 25 Oct 2026, 16:29 | 18,476 | -1 |
| 24 Oct 2026, 16:07 | 18,477 | -6 |
| 22 Oct 2026, 11:05 | 18,483 | -2 |
| 21 Oct 2026, 06:09 | 18,485 | -1 |
| 20 Oct 2026, 06:21 | 18,486 | +1 |
| 19 Oct 2026, 08:17 | 18,485 | first reading |
Engagement
50 posts held, back to 7 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 76 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 8.84%
- avg views ÷ 18,402 subscribers
- Avg views / post
- 1,630
- 5 posts measured
- Reaction rate
- 0.181%
- reactions ÷ views · ER floor
- Posts in window
- 5
- of 50 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 2 of 5 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 29 October 2026 |
|---|---|
| Posts held | 50 (7 July 2026 – 29 October 2026) |
| Views total | 8,130 |
| Reactions total | 6 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Nov 2026, 04:54 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
- Photos
- ≈7,370
- Videos
- ≈263
- Links
- ≈2,280
Lifetime counters from Telegram’s own channel header, read 13 November 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.
- Video runtime
- 3m 57s
- Average length
- 47s
Measured directly from 5 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
149 reactions across 36 posts, in 6 distinct kinds. The most used accounts for 63.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 95 | 63.8% | |
| 🔥 | 35 | 23.5% | |
| 👍 | 13 | 8.72% | |
| 😁 | 2 | 1.34% | |
| 🙏 | 2 | 1.34% | |
| 🥰 | 2 | 1.34% |
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 38 of the 50 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 151 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 50 most recent posts we hold, published 7 July 2026 to 29 October 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.
Recent posts
Telegram’s own ‘edited’ marker: 0 of 5 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Все молчат, а мы расскажем: о фильтрах в корпоративных приложениях🤫 Фильтр в приложении напоминает поиск нужной вещи в шкафу. Если все разложено по полочкам, то найдёшь за секунду, а если нет — будешь копаться час. В бизнес-приложениях с этим часто проблема. И самое удивительное, что в на просторах Интернета об этом почти не говорят. Поэтому мы решили восполнить этот пробел👇 ➡️ Читать статью: “Шаблоны и передовые …
Из посетителя 👉 в покупателя Почему одни интерфейсы ведут пользователя к действию, а другие — к кнопке "покинуть страницу"? Дело в том, что один из них просто красивый, а другой продающий (иначе говоря, конверсионный). Это подход к дизайну, который объединяет юзабилити, поведенческую психологию и проектирование интерфейсов. Его задача — сделать взаимодействие с продуктом интуитивным, понятным и убедительным. В нов…
❤4
Путешествие в карьеру UX-дизайнера: что взять с собой в дорогу 🛤️ Мы живем в мире, где технологии решают всё: от заказа пиццы до управления умным домом. Но за каждым удобным приложением стоит человек, который сделал сложное простым. UX-дизайн — это не просто картинки, это мост между стремительно развивающимися технологиями и комфортом пользователя. Если вы давно присматриваетесь к этой профессии, но не знаете, с че…
Текст-невидимка, от которого зависит судьба вашего интерфейса🫥 Мы привыкли судить об интерфейсе по картинке: красивые кнопки, удобные формы, стильные иконки. Но непонятная подпись на кнопке или слишком сухое уведомление могут разрушить даже самый гениальный дизайн. И наоборот — точная фраза способна спасти даже неудачный визуал. Этот "невидимый" текст, который сопровождает пользователя повсюду (от подсказок в полях…
❤1👍1
Ваш интерфейс молчит, поэтому ему не доверяют🤐 В реальной жизни вы считываете состояние человека мгновенно, еще до того как он заговорит — по взгляду, мимике и позе. Это дает ощущение контроля над ситуацией. С интерфейсом та же логика. Когда пользователь видит, чем сейчас занята система, он чувствует, что все под контролем. Когда этого не происходит, начинает гадать, нервничать и автоматически теряет то, за что бор…
❤2
Как убедить пользователя подписаться на рассылку? 📩 Что вы сделаете, увидев "Подпишитесь и получайте новости первыми!"? Правильно, начнете искать иконку с крестиком, чтобы поскорее закрыть этот попап. Почему так происходит? Потому что пользователю не объяснили ценность. В погоне за базой email-адресов компании часто забывают о здравом смысле и начинают давить на пользователя. Но как сделать форму подписки, которая…
❤5
Секретное оружие вашего дизайна🤫 Попробуйте вспомнить шрифт на кнопке "Купить" или в меню сайтов, которые вы открываете каждый день. Сложно, правда? Мы не замечаем хорошую типографику, но именно она управляет нашим восприятием информации. Шрифты помогают передать индивидуальность бренда и повысить читабельность. Многие новички используют стандартные Arial или Times New Roman, потому что так безопаснее. И в итоге и…
❤6
Вечная классика: почему ар-деко снова в моде? 💎 Роскошь, элегантность и геометрия — синонимы ар-деко. Стиль, который родился в начале XX века, но до сих пор диктует правила в интерьерах, графике и веб-дизайне. Насыщенные цвета, симметрия и дорогие материалы — его визитная карточка. Как использовать принципы ар-деко в своих проектах, чтобы они выглядели дорого и современно?👇 ↗️ Узнаете в новом лонгриде: "Ар-деко в…
❤6
Красиво ≠ Правдиво 📊 Мы живем в мире, где информации больше, чем когда-либо, но доверия к ней все меньше. И часто виноваты в этом дизайнеры. Когда мы выбираем "красивую картинку" вместо точности, визуализация превращается в инструмент манипуляции. Как не стать тем самым дизайнером, чьи работы вводят в заблуждение? Разбираем типичные ошибки и правила честной визуализации в новой статье👇 👉 Читать статью: "Цифры не д…
👍3
Красивый интерфейс ≠ удобный интерфейс🙅♂️ Мы все на это попадались: сайт выглядит как произведение искусства, эффектные анимации, красивая типографика, а потом 5 минут ищешь кнопку оформления заказа. Красивый визуал продаёт первое впечатление. Но удерживает пользователя на сайте совсем другое👇👇 ➡️ Читайте в новом лонгриде: "Почему «красивый» UI-дизайн может быть плохим и не наступайте на грабли, которые уже прошл…
❤2🥰1
Завтра в 19:00 МСК собираемся на вебинаре по вайбкодингу Соберем сайт (прикрепили пример выше☝️) без опыта работы с кодом — только Claude Code и правильные задачи для нейросети. В прямом эфире пройдем весь процесс от идеи до публикации вместе с Евгением 👋 и Артемом 👋 (продуктовый дизайнер, 6+ лет в Альфа-банке). Разберем: • как использовать Claude Code для верстки и топовых анимаций • что такое «скиллы» и как они …
🔥3
Showing the 12 most recent of 50 posts we hold for @uprockpro. 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.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
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.
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.
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.
@uprockdesign · 21,240
Telegram ranks this channel #2 of 96 here — alongside 95 others — read 22 September 2026
@study_kvo · 24,333
Telegram ranks this channel #17 of 93 here — alongside 92 others — read 14 September 2026
@uxidesign · 20,384
Telegram ranks this channel #30 of 97 here — alongside 96 others — read 26 September 2026
@dbooks · 62,896
Telegram ranks this channel #34 of 95 here — alongside 94 others — read 21 August 2026
@uiux_design · 20,786
Telegram ranks this channel #47 of 97 here — alongside 96 others — read 24 September 2026
@design_awards · 21,538
Telegram ranks this channel #47 of 98 here — alongside 97 others — read 22 September 2026
@thedesigner · 29,603
Telegram ranks this channel #47 of 92 here — alongside 91 others — read 7 September 2026
@tildanews · 32,548
Telegram ranks this channel #47 of 96 here — alongside 95 others — read 4 September 2026
@dsgn_edu · 33,907
Telegram ranks this channel #48 of 95 here — alongside 94 others — read 3 September 2026
@yodizlife · 23,766
Telegram ranks this channel #49 of 95 here — alongside 94 others — read 18 September 2026
@skillboxru · 36,246
Telegram ranks this channel #56 of 97 here — alongside 96 others — read 3 September 2026
@behancerdsgn · 40,422
Telegram ranks this channel #71 of 96 here — alongside 95 others — read 29 August 2026
@dsgn_tutorial · 81,103
Telegram ranks this channel #71 of 91 here — alongside 90 others — read 18 August 2026
@figmaweb · 39,706
Telegram ranks this channel #72 of 95 here — alongside 94 others — read 29 August 2026
@figmadesign · 104,828
Telegram ranks this channel #77 of 94 here — alongside 93 others — read 15 August 2026
@easyfigma · 25,138
Telegram ranks this channel #82 of 93 here — alongside 92 others — read 14 September 2026
@design_telega · 77,217
Telegram ranks this channel #88 of 93 here — alongside 92 others — read 18 August 2026
@mokaposhnaya · 61,456
Telegram ranks this channel #89 of 94 here — alongside 93 others — read 1 September 2026
This channel appears in 18 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 11 November 2026 — this entry's latest reading, not the date you are reading this.
“UX/UI [by Uprock]” (@uprockpro), 18,402 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/uprockpro.
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.