Channel
@suite_guide
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
1,763subscribers
-7 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001618740712 |
|---|---|
| Type | Channel |
| Username | @suite_guide |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 16 September 2026 |
| Measurements held | 13 |
| Confirmed unchanged | 1 time, most recently 16 September 2026 |
| On Telegram | t.me/suite_guide |
Ecommerce storefront — 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 16 September 2026 and assigned it the closest of 31 fixed categories, at 66% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Sept 2026, 03:02 | 1,763 | -1 |
| 12 Sept 2026, 13:01 | 1,764 | -3 |
| 8 Sept 2026, 12:37 | 1,767 | +5 |
| 3 Sept 2026, 00:52 | 1,762 | -2 |
| 31 Aug 2026, 02:48 | 1,764 | -3 |
| 27 Aug 2026, 18:47 | 1,767 | -5 |
| 25 Aug 2026, 00:58 | 1,772 | +2 |
| 21 Aug 2026, 21:17 | 1,770 | +2 |
| 18 Aug 2026, 08:42 | 1,768 | +1 |
| 14 Aug 2026, 23:27 | 1,767 | -1 |
| 11 Aug 2026, 05:13 | 1,768 | -2 |
| 7 Aug 2026, 15:48 | 1,770 | no change |
| 7 Aug 2026, 14:28 | 1,770 | first reading |
12 posts held, back to 26 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 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 12 posts for this entry, the most recent from 6 August 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.
167 reactions across 10 posts, in 2 distinct kinds. The most used accounts for 76.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| custom 5307740001943967899 | 127 | 76.0% | |
| custom 5244894189337978871 | 40 | 24.0% |
Custom emoji. Every row above is a 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 12 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 167 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 12 most recent posts we hold, published 26 May 2026 to 6 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.
На выходных собираемся на распродажу в Delo Там же продается идеальная пижамная рубашка на каждый день голубого и графитового цвета. Возьмём две заодно с другим текстилем!
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На выходных участвуем в Маркете друзей в саду ЧАО и Alvaar Фонтанная, 3 С 12-00
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Красота ♥️ Вступаем в offline клуб Ближе
Извините, пропала: была занята созданием воспоминаний. Совместный дроп Nasspen х Blizhe напоминает о том, что самые ценные летние истории случаются вне экранов и лент рекомендаций. Письма, написанные от руки, теплый летний ливень, смех друзей, прогулки без маршрутов — капсула создана для моментов, которые хочется ощутить и запомнить надолго. Welcome to offline club — дроп уже на сайте.
Выставка Веры Мухиной в Москве стоит отдельной поездки Работы Ленинградского завода художественного стекла и Ленинградской зеркальной фабрики просто ♥️ В маршрут можно включить магазин Sachét (он рядом с музеем, но работает по предварительной записи) и дорогой, взрослый и очень красивый ресторан Jep
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Два классных pop up мероприятия в Петербурге 17 вечером идем к Poème выбирать одежду для дома в новую резиденцию Apartura на Петроградке А 18 записываемся на экскурсию проекта Полка в Hideout. Хотим присмотреть что-нибудь для дома и студий
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И Петра Кончаловского в Русском музее с кафе Бенуа можно (надо!) по пути посмотреть 💜
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Прекрасная выставка современных индийских художников в Главном штабе. Честно признаться — это лучшее, что мы видели за последнее время в Петербурге. Чувствуется, что имена и работы собраны неслучайно, хорошо оформлена, не перегружена. Даже хочется вернуться Читаем теперь интервью коллекционеров, при поддержке которых она была организована, Екатерины и Андрея Теребениных на сайте Объединения
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Рубрика «остались последние билеты». Выбирать места уже не приходится, берём те, что есть 21-22 июня на спектакль Хора Охада Наарина в исполнении труппы Context в Александринском театре Ещё в июне — Два века русской поэзии в БДТ. Светлана Крючкова будет читать стихи В июле идём на Счастье в БДТ. Спектакль Лизы Дороничевой, выпускницы режиссёрской мастерской Андрея Могучего в РГИСИ А в августе на Петушки в Летний …
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Думаем пойти в школу Сеанс этим летом. Присматриваемся к Театру XX века и Отечественной истории от Льва Лурье. Кого тоже не отпускает жажда знаний, присоединяйтесь!
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Киоск СREAMO на Новой Голландии — проект Елены Набиуллиной, одной из самых известных кондитеров Москвы. Берите мягкое мороженое или фисташковое джелато🍦 Тут же много всего интересного: обновленный интерьер Кузни и открытие любимого Летнего театра на этих выходных
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Вот мой скромный список того, что я бы очень хотела увидеть на грядущем Beat Film Festival. Вижу, как оживает расписание любимого фестиваля и очень радуюсь. • Марк глазами Софии • Ренцо Пьяно и кинотеатр будущего • Овсянка для чемпионов • Ломаный английский • Слоны-призраки •Город утопии Ле Корбюзье • Главная панк-конференция Нью-Йорка • Канье Вест: во имя кого? Обожаю кино!
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Showing the 12 most recent of 12 posts we hold for @suite_guide. 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.
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.
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 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.
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 16 September 2026 — this entry's latest reading, not the date you are reading this.
“Номер люкс” (@suite_guide), 1,763 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/suite_guide.
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.