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Telegram profile photo for Depártment of Aesthetics | Департамент Эстетики

Channel

Depártment of Aesthetics | Департамент Эстетики

@departmentaesthetics

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

9,557subscribers

+80 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001574202612
TypeChannel
Username@departmentaesthetics
CreatedBetween 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live15 September 2026
Measurements held14
Confirmed unchanged1 time, most recently 15 September 2026
On Telegramt.me/departmentaesthetics

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 11 September 2026 and assigned it the closest of 31 fixed categories, at 93% 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

9,4599,5919,5257 August 2026 — 9,477 subscribers7 August 2026 — 9,477 subscribers7 August 2026 — 9,479 subscribers10 August 2026 — 9,472 subscribers14 August 2026 — 9,459 subscribers17 August 2026 — 9,468 subscribers20 August 2026 — 9,464 subscribers24 August 2026 — 9,501 subscribers27 August 2026 — 9,498 subscribers30 August 2026 — 9,510 subscribers2 September 2026 — 9,538 subscribers7 September 2026 — 9,591 subscribers11 September 2026 — 9,575 subscribers15 September 2026 — 9,557 subscribers9,5577 August 202615 September 2026
14 measurements spanning 39 days, net +80. 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 9,439–9,611 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Sept 2026, 08:589,557-18
11 Sept 2026, 19:209,575-16
7 Sept 2026, 02:569,591+53
2 Sept 2026, 06:349,538+28
30 Aug 2026, 12:469,510+12
27 Aug 2026, 05:089,498-3
24 Aug 2026, 09:089,501+37
20 Aug 2026, 19:159,464-4
17 Aug 2026, 12:069,468+9
14 Aug 2026, 01:179,459-13
10 Aug 2026, 13:289,472-7
7 Aug 2026, 18:209,479+2
7 Aug 2026, 09:009,477no change
7 Aug 2026, 08:589,477first reading

Engagement

9 posts held, back to 11 June 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 32 pages of 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 9 posts for this entry, the most recent from 22 August 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
1m 32s
Average length
23s

Measured directly from 4 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

212 reactions across 8 posts, in 6 distinct kinds. The most used accounts for 69.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
14769.3%
🔥209.43%
❤‍🔥178.02%
🥰157.08%
👏73.30%
💔62.83%

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 8 of the 9 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 212 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 9 most recent posts we hold, published 11 June 2026 to 22 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
2
across the posts below
Posts paid on
1
of 8 we hold a reading for · 13%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @departmentaesthetics. 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 9 most recent posts we hold for this entry, published 11 June 2026 to 22 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

22 Aug 2026, 10:00 UTC909 views14 reactionsread 29 August 2026
Photo

5 промптов для обработки фото в нейросети 📷 Как использовать промпты? Заходите в бот @syntxaibot — выбираете нейросеть Nano Banana PRO — загружаете исходное фото для обработки и промпт, следуя инструкции внутри бота. ➡️ Все промпты оставили для вас в комментариях под этим постом, чтобы вы комфортно смогли их скопировать. Напомним, что у нас уже было несколько подборок с промптами для обработки: • смотреть 1 час

🔥86

20 Aug 2026, 15:12 UTCviews —

Depártment of Aesthetics | Департамент Эстетики pinned a photo

20 Aug 2026, 15:11 UTC≈1,020 views5 reactionsread 29 August 2026
Photo

Мы открыли Библиотеку Департамента Эстетики 🤍 За несколько лет у нас накопилось много уроков, воркшопов и практических материалов. Часть была доступна только резидентам основного обучения, часть мы создавали отдельно. Теперь всё это собрано в одном месте ⤵️ В Библиотеке уже 28 уроков: про аутентичность и стратегию блога, съёмку, Reels, визуал, тренды, Pinterest и Telegram, нейросети, имидж и работу в модной индуст

5

17 Aug 2026, 14:45 UTC≈1,270 views24 reactionsread 29 August 2026
Photo

Почему стразы везде? Даже в контенте у больших брендов ⭐️ Один из главных трендов этого года — дофаминовая эстетика, которую ещё называют Whimsical (об этом у нас даже был отдельный пост — читать) Эта страсть ко всему яркому, детскому и забавному наблюдалась ещё с начала года, но в последний летний месяц она просто захватила соцсети ✨ И катализатором, как часто это и бывает, стала Кайли Дженнер, которую точно можн

❤‍🔥139🔥2

9 Aug 2026, 11:35 UTC≈1,540 views25 reactionsread 21 August 2026
Forwarded from @fifteencaratsPhoto

Самое важное «да» сказано, помолвочное кольцо на пальце и осталось последнее: все должны узнать, что теперь вы — невеста! Вместе с Department of Aesthetics показываем, как сделать это красиво 💍📸

25

14 Jul 2026, 15:44 UTC≈2,190 views21 reactionsread 20 August 2026
Photo

5 промптов для обработки фото с помощью нейросетей 👩‍💻 🩷Слайд 1: Use the uploaded photo as the exact source image. Do not recreate the person. Do not generate a new face. The face is LOCKED and must remain pixel-identical to the original photo. Preserve all original facial features, geometry, proportions, expression, skin texture, eyes, nose, lips, jawline and identity exactly. No changes to the face are allowed.

17💔4

22 Jun 2026, 12:59 UTC≈2,520 views22 reactionsread 15 August 2026
Video

Тренд с рисованием — как реализовать? 🎨 Наверняка вы видели подобные видео, где сначала предмет или элемент одежды рисуется, а затем появляется в кадре 🖌️ Использовать этот формат можно не только для того, чтобы показать образ дня, но и, например, в видео с рецептами, косметикой, макияжем и так далее. ссылки на авторов туториалов: 1 видео — @kevkevkiwi 2 видео — @lizzyyyys ссылки на авторов идей: 3 видео — @jai

11🔥6🥰4💔1

16 Jun 2026, 15:58 UTC≈2,510 views46 reactionsread 9 August 2026
Photo

5 промптов для обработки фото с помощью нейросетей 👩‍💻 🩷Слайд 1: portrait, harsh flash, bright frontal light, strong shadows, high contrast, flash photography effect. Preserve the original face identity exactly as in the input photo: do not alter facial features, do not beautify, do not age or de-age, do not change bone structure, eyes, nose, lips, or skin texture. Keep likeness fully consistent with the source imag

37❤‍🔥4🔥4💔1

11 Jun 2026, 08:29 UTC≈2,820 views55 reactions2 Starsread 9 August 2026
Video

Шаблоны CapCut, которые помогут вам быстро смонтировать видео или создать дизайн поста-карусели 🤍 1 часть с шаблонами здесь *для удобства разделили шаблоны по слайдам, чтобы вам было легче перейти на нужны вам шаблон. Слайд 1: ➡️ шаблон автора @giiara ➡️ шаблон автора @Greenti ➡️ шаблон автора @woppiee125 Слайд 2: ➡️ шаблон автора @Dallam ➡️ шаблон автора @chullipink Слайд 3: ➡️ шаблон автора @Edfev3r ➡️ шабл

37🥰11👏7

Showing the 9 most recent of 9 posts we hold for @departmentaesthetics. 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.

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 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.

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.

Pollyhey
@pollyhey · 48,373
Telegram ranks this channel #45 of 80 here — alongside 79 others — read 26 August 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list 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 15 September 2026 — this entry's latest reading, not the date you are reading this.

“Depártment of Aesthetics | Департамент Эстетики” (@departmentaesthetics), 9,557 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/departmentaesthetics.

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.