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ДАВАЙ ПОТЕТЬ КРАСИВО!

@gdekupila

On this record: Growth · Engagement · Reactions · Posts · Cite this entry

441subscribers

+9 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002262441932
TypeChannel
Username@gdekupila
CreatedBetween 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live30 August 2026
Measurements held5
Confirmed unchanged2 times, most recently 30 August 2026
On Telegramt.me/gdekupila

Growth

432441436.57 August 2026 — 432 subscribers8 August 2026 — 432 subscribers8 August 2026 — 433 subscribers16 August 2026 — 439 subscribers23 August 2026 — 441 subscribers7 August 202623 August 2026
5 measurements spanning 16 days, net +9. 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 431–442 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
23 Aug 2026, 23:59441+2
16 Aug 2026, 06:27439+6
8 Aug 2026, 15:21433+1
8 Aug 2026, 05:18432no change
7 Aug 2026, 19:19432first reading

Engagement

3 posts held, back to 7 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 1 pageof 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 3 posts for this entry, the most recent from 30 July 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

31 reactions across 3 posts, in 4 distinct kinds. The most used accounts for 38.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1238.7%
❤‍🔥929.0%
🔥619.4%
👌412.9%

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 3 of the 3 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 31reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 3 most recent posts we hold, published 7 July 2026 to 30 July 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

30 Jul 2026, 10:52 UTC117 views7 reactionsread 8 August 2026
Photo

Для моих балийских подписчиков (а вас тут всё-таки большинство) эта информация, возможно, не самая актуальная. Но я просто не могу не поделиться. Помните тот самый роскошный жакет Миранды из «Дьявол носит Prada»? Так вот, очень похожий можно заказать у моего нового любимого upcycle-дизайнера Not Usual things Вообще не хуже, чем оригинал от Dries Van Noten. Та же невероятная игра гобелена, фактур, кисточек — вещь, к

👌4❤‍🔥3

20 Jul 2026, 05:41 UTC263 views12 reactionsread 8 August 2026
Photo

Слушайте, а вы тоже заметили, что все просто помешались на вьетнамках? 😄 Если раньше это была обувь исключительно для пляжа и отпуска, то сейчас вьетнамки носят буквально везде. Их сочетают с деловыми костюмами, джинсами, романтичными платьями и даже вечерними образами. Пока я в Петербурге, замечаю это вообще на каждом шагу — кажется, каждая вторая модница во вьетнамках! Особый фаворит этого сезона — вьетнамки на

6❤‍🔥6

7 Jul 2026, 06:38 UTC314 views12 reactionsread 8 August 2026
Photo

Так, я поняла: подборки с WB вам не очень заходят. 😄 Возвращаемся к балийскому шопингу. Кстати, интересно, вы что больше любите: комбинезоны или всё-таки когда верх и низ можно комбинировать отдельно? Я вот в последнее время всё чаще выбираю Боди. Надел — и готово. Поэтому сегодня хочу показать вам один из моих любимых брендов Lemur. У них очень классный базовый трикотаж с анатомичным кроем — вещи мягко облегают те

6🔥6

Showing the 3 most recent of 3 posts we hold for @gdekupila. 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.

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

“ДАВАЙ ПОТЕТЬ КРАСИВО!” (@gdekupila), 441 subscribers as measured 23 August 2026. Telegram Register, tgregister.com/channel/gdekupila.

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.