Education — 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 94% 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 why it has no browse page of its own yet.
Growth
32 measurements spanning 42 days, net -177. 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 16,355–16,586 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)
Subscribers
Change
17 Sept 2026, 23:01
16,382
-41
15 Sept 2026, 20:37
16,423
-9
14 Sept 2026, 03:40
16,432
-15
12 Sept 2026, 11:37
16,447
-20
10 Sept 2026, 06:58
16,467
-29
6 Sept 2026, 23:59
16,496
-8
4 Sept 2026, 12:37
16,504
-5
3 Sept 2026, 01:29
16,509
-11
1 Sept 2026, 20:14
16,520
+2
31 Aug 2026, 20:54
16,518
-4
30 Aug 2026, 21:54
16,522
+7
30 Aug 2026, 00:55
16,515
+6
28 Aug 2026, 21:28
16,509
+3
28 Aug 2026, 00:55
16,506
+8
27 Aug 2026, 03:56
16,498
+3
26 Aug 2026, 03:15
16,495
-10
25 Aug 2026, 04:35
16,505
+7
23 Aug 2026, 22:53
16,498
-2
22 Aug 2026, 07:35
16,500
-8
20 Aug 2026, 03:18
16,508
first reading
Engagement
21 posts held, back to 31 May 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 54 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
6.65%
avg views ÷ 16,382 subscribers
Avg views / post
1,090
1 post measured
Reaction rate
2.75%
reactions ÷ views · ER floor
Posts in window
1
of 21 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 2 September 2026
Posts held
21 (31 May 2026 – 2 September 2026)
Views total
1,090
Reactions total
30
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 09:49 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
1m 25s
Average length
28s
Measured directly from 3 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
769 reactions across 20 posts, in 22 distinct kinds. The most used accounts for 39.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
303
39.4%
🔥
139
18.1%
💊
83
10.8%
💅
35
4.55%
🏆
33
4.29%
👍
30
3.90%
❤🔥
26
3.38%
💯
23
2.99%
🕊
16
2.08%
😱
16
2.08%
🤣
15
1.95%
😘
13
1.69%
😁
11
1.43%
🤨
7
0.91%
⚡
5
0.65%
😍
3
0.39%
🤩
3
0.39%
🎉
2
0.26%
👏
2
0.26%
🤝
2
0.26%
2 further kinds
2
0.26%
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 21 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 769 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 21 most recent posts we hold, published 31 May 2026 to 2 September 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 @wannabelikerozov17feb. 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 21 most recent posts we hold for this entry, published 31 May 2026 to 2 September 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.
позволю себе еще один анонс, потому что он про Артема, которого многие здесь любят.
сегодня начинается его шортс post ai creative & motion.
мы уже дошли до момента, когда просто уметь хорошо генерить в AI это база.
гораздо интереснее другой навык: уметь взять коммерческую задачу и превратить ее в сильную креативную работу с помощью AI.
вот этому и будем учиться:
• делать сильные AI-генерации — сегодня это уже ми…
знаете, что такое remix project в вайбкодинге?
если вы публикуете проект, его можно ремикснуть: изучить, как он работает, или сделать на его основе что-то своё.
cегодня в 19:00 по мск будем делать примерно то же самое, только с концептами.
Илья Мещеряков в прямом эфире полностью повторит два сильных концепта — этот и этот. Разберет, как они устроены технически, почему работают и как довести такую идею до работающ…
cегодня стартует AI Product Designer с Дашей Щербаковой.
Многие из вас ее знают как дизайнера с неординарной карьерой и одного из главных экспертов wannabe.
идея шортса простая: за 6 недель вы плотно работаете с Дашей, делаете продукт целиком и упаковываете его в кейс: от исследования до передачи в разработку, вместе с AI. Вот пример как раз кейса одной из ее учениц.
результатом будет новый грейд: можно прийти jun…
привет!
сегодня в 19:00 по мск пройдет встреча о том, каких дизайнеров ценят в 2026 и как AI изменил работу и найм внутри больших команд.
Суть встречи очень проста: нанимающие дизайнеры из Сбера, X5, Salmon и Билайна рассказывают:
— что они смотрят в портфолио,
— почему из двух сильных кандидатов оффер получает один,
— какие AI-скиллы уже стали базой,
— а какие существуют в основном линкедине и разговорах про буду…
шестилетний Тео кодит себе игры клодом через терминал на своем маке (not fake), а вы можете придти завтра на целый день к Антону Шакирову, чтобы научиться пользоваться AI-агентом как полноценным рабочим партнёром
это наш новый формат — воркшоп на весь день, пробуйте!
https://wannabe.ru/addons/ai-native-workshop
в июне мы запустили AI Upgrade с Артёмом Казаковым.
идея была простая: научиться не «генерить», а делать работы такого уровня, который сегодня покупают и требуют лучшие клиенты из яндекса, вк и других бигтехов.
вот что ребята сделали после шортса. в комментариях еще будет статика.
сегодня еще можно попасть на второй поток. Все тут: https://wannabe.ru/shorts/ai-upgrade
совсем скоро можно будет увидеть рамку superpowered как факультета, а пока презентую новый шортс в нашей линейке - метод Миши Розова.
метод - процесс работы с референсами и идеями, который рассчитан в первую очередь на новичков, но я рекомендую освоить его всем, кто планирует в будущем прийти на мой шортс по продуктовому дизайну. эта база обеспечит более сильный результат на моем шортсе ❤️
сегодня я и Маша Бессараб…
«У Клод Кода есть такой скилл — superpowers, и именно он лучше всего описывает мои чувства после курса 😎 Тоже чувствую, что всего за три недели могу реализовать если не все, то очень многие свои идеи. Хочется всё автоматизировать и пробовать новое, и всё чаще ловлю себя на мысли:А может, это тоже можно завайбкодить?»
Еще можно запрыгнуть тут: https://wannabe.ru/shorts/vibe-coding-master
Работы ребят в комментарии.
Новая профессия
Мне кажется, что будущее цифровых продуктов перемешает профессии и уже сейчас нужен такой человек, которого зовут frontend experience designer
Это такой дизайнер, который отвечает за то какой именно будет опыт у пользователя во всех деталях, процессах, анимашках и так далее. И естественно сам это кодит.
Причин у этого несколько:
• конкуренция в софте дикая и детали «решают» и привязывают людей
• вс…
допустим вы думаете «зачем мне идти на некст левел»
а я вам говорю — ну чтобы вот такие штуки например собирать https://www.unknw.com/cases/fff
ссылка выше, как и промокод
а это последний пост про некст левел
все!
вот ребятки насобирали концептов на next level'е:
https://levf-concept-by-fedo-studio.netlify.app/ тут пароль life
https://brand-hq-kohl.vercel.app/
https://trove-landing.netlify.app/
https://biteshift-hifi.vercel.app/
https://project-1-glasses-h7so.vercel.app/
https://quiet-place-app.vercel.app/
https://bright-mochi-50727b.netlify.app/
https://unmet-prototype.vercel.app/onboarding
https://steply-prototype.vercel.app…
сегодня мы со мной встречаемся
мой нарратив простой — есть такая профессия ныне, AI Design Leader, вот про нее и поговорим
че это такое
как им стать
а что надо уметь и зачем
как подавать/продавать свою ценность (хотя у мощных эй ай людей щас таких проблем нет)
заодно покажу какие крутые вещи сделали ребята на некст-левел концепте!
короче приходите заходите
🔥10❤7👍6💊3
Signed Mike Rozov
Showing the 12 most recent of 21 posts we hold for @wannabelikerozov17feb. 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
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.
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.
Job for Designers @fordesigner · 24,592 Telegram ranks this channel #18 of 94 here — alongside 93 others — read 15 September 2026
Now How Channel @nowhow · 24,611 Telegram ranks this channel #22 of 98 here — alongside 97 others — read 15 September 2026
perasperadastra ✱ сучков саша @perasperagram · 38,498 Telegram ranks this channel #24 of 98 here — alongside 97 others — read 1 September 2026
Точка входа @bbe_jobs · 25,369 Telegram ranks this channel #25 of 98 here — alongside 97 others — read 14 September 2026
UX Notes @uxnotes · 23,715 Telegram ranks this channel #27 of 97 here — alongside 96 others — read 17 September 2026
ParaGraph @paradigm_graphics · 34,891 Telegram ranks this channel #28 of 96 here — alongside 95 others — read 2 September 2026
Design Hunters @designhunters · 80,030 Telegram ranks this channel #29 of 95 here — alongside 94 others — read 18 August 2026
ИЩУ_ДИЗАЙНЕРА @designer_ru · 79,665 Telegram ranks this channel #30 of 94 here — alongside 93 others — read 19 August 2026
Design Awards @design_awards · 21,910 Telegram ranks this channel #33 of 98 here — alongside 97 others — read 22 September 2026
Дизайнер, привет @jun_hi · 23,435 Telegram ranks this channel #33 of 96 here — alongside 95 others — read 18 September 2026
Дизайн-биржа 💵 @designbirzha · 52,674 Telegram ranks this channel #38 of 95 here — alongside 94 others — read 26 August 2026
дизайнерс.сайты @cyrillicdesign · 34,919 Telegram ranks this channel #41 of 99 here — alongside 98 others — read 2 September 2026
Designdealer @designdealer · 86,726 Telegram ranks this channel #44 of 93 here — alongside 92 others — read 17 August 2026
Дизайн-снайпер @designsniper · 28,081 Telegram ranks this channel #47 of 96 here — alongside 95 others — read 10 September 2026
Дайджест продуктового дизайна @pdigest · 49,453 Telegram ranks this channel #50 of 97 here — alongside 96 others — read 25 August 2026
Posterino | искусство плаката @posterino · 57,154 Telegram ranks this channel #52 of 97 here — alongside 96 others — read 23 August 2026
Книги для дизайнеров 📚 @dbooks · 63,360 Telegram ranks this channel #55 of 95 here — alongside 94 others — read 21 August 2026
Мокапошная @mokaposhnaya · 62,191 Telegram ranks this channel #60 of 94 here — alongside 93 others — read 1 September 2026
Secret Design @secretd · 22,350 Telegram ranks this channel #61 of 95 here — alongside 94 others — read 21 September 2026
Bang Bang Education @bbe_school · 25,401 Telegram ranks this channel #62 of 96 here — alongside 95 others — read 14 September 2026
Вакансии дизайнерам @jun_hi_vacancies · 42,790 Telegram ranks this channel #63 of 97 here — alongside 96 others — read 29 August 2026
Kostya Gorsky’s Channel @desprod · 25,894 Telegram ranks this channel #65 of 97 here — alongside 96 others — read 13 September 2026
Behancer | Лучшие дизайн-проекты с Behance @behancerdsgn · 41,330 Telegram ranks this channel #65 of 96 here — alongside 95 others — read 29 August 2026
Figma Design @figmadesign · 105,945 Telegram ranks this channel #66 of 94 here — alongside 93 others — read 15 August 2026
This channel appears in 35 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“Wannabe like Rozov” (@wannabelikerozov17feb), 16,382 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/wannabelikerozov17feb.
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.