тюленюсь потихоньку… 🦭 #таммитанука #tammytanuka #mvkeup_муа
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Channel
@mvkeup
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
615subscribers
+2 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001479668723 |
|---|---|
| Type | Channel |
| Username | @mvkeup |
| Created | 8 October 2019 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 8 August 2026 |
| Last confirmed live | 13 September 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 13 September 2026 |
| On Telegram | t.me/mvkeup |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Sept 2026, 12:38 | 615 | +1 |
| 5 Sept 2026, 15:17 | 614 | -2 |
| 28 Aug 2026, 23:52 | 616 | +4 |
| 21 Aug 2026, 09:12 | 612 | -1 |
| 8 Aug 2026, 03:03 | 613 | no change |
| 7 Aug 2026, 11:08 | 613 | first reading |
10 posts held, back to 13 June 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 1 page 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 10 posts for this entry, the most recent from 27 July 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 1 video 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.
426 reactions across 10 posts, in 17 distinct kinds. The most used accounts for 16.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 😍 | 71 | 16.7% | |
| 💘 | 56 | 13.1% | |
| 🍓 | 53 | 12.4% | |
| 💔 | 50 | 11.7% | |
| custom 5251287235273171000 | 41 | 9.62% | |
| custom 5208686816168780616 | 32 | 7.51% | |
| 🔥 | 27 | 6.34% | |
| custom 5402206214186608075 | 17 | 3.99% | |
| custom 5269373218002580201 | 15 | 3.52% | |
| ❤🔥 | 14 | 3.29% | |
| 🥰 | 13 | 3.05% | |
| custom 5859411701958446805 | 12 | 2.82% | |
| 🎉 | 9 | 2.11% | |
| 👏 | 6 | 1.41% | |
| 😡 | 6 | 1.41% | |
| custom 5195384464934465601 | 2 | 0.469% | |
| ❤ | 2 | 0.469% |
Custom emoji. 6 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 10 of the 10 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 426 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 13 June 2026 to 27 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.
тюленюсь потихоньку… 🦭 #таммитанука #tammytanuka #mvkeup_муа
🥰12custom 52693732180025802019😍6custom 52512872352731710004🍓2🔥2💘1
очень, конечно, неприятно, но мы люди не гордые, а на канале давно есть видео про прессовку, так что виверна была реанимирована 🐉 не без потерь — фараон как самый хлопьевидный разлетелся в большом количестве почти в пыль, так что в нем потери на глаз где-то половина рефила. остальные поживее. так что всем хорошего вечера и рук прямее, чем у меня 🙂
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я случайно в мясо разбила виверну…
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тем временем шел почти месяц, как я пыталась адаптировать место под съемку в новой квартире и доснять видео про виверну… (пока безуспешно) #таммитанука #tammytanuka
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по свотчам дико недовольна… очень сухие сияющие, а я капец как не люблю использовать липкие подложки… гамма палетки вообще не моя, но надежды были на пресс змееносца и идиллии лилий, а они как-то ну совсем фу выглядят 😬 #mvkeup_обозреваю #tammytanuka #таммитанука
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взяла окорочок на рестоке 😚 #таммитанука #tammytanuka
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у нас вчера был корпоратив и я весь день получала комплименты двум вещам: юбка, привезенная из Японии, и макияж виверной (275 в стрелку и на нижнее веко + фараон на подвижке) 🐉 на солнышке блестит очень красиво! 💜 #tammytanuka #таммитанука
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переезжать мне, кстати, расхотелось на ближайшие несколько лет 😱 в квартире всё ещё коробки, я всё ещё не могу нормально потрогать виверну, но вот на выходных поставили наконец-то мой макияжный стол! ещё немного и начну дальше снимать видео…
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у меня залагал тг и вместо того, чтобы добавить сюда победителя, вообще стер пост… 😱 Результаты розыгрыша: Победитель: 1. Ксения (@kstrssh) ✔️Проверить результаты
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первый макияж с виверной 🐉 на подвижном веке 278, в уголке 274 #tammytanuka #таммитанука #mvkeup_муа
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Showing the 10 most recent of 10 posts we hold for @mvkeup. 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.
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.
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.
This channel appears in 3 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 September 2026 — this entry's latest reading, not the date you are reading this.
“Саша и мейкуп” (@mvkeup), 615 subscribers as measured 13 September 2026. Telegram Register, tgregister.com/channel/mvkeup.
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.