Channel
@sgkmsukuleshova
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
666subscribers
+158 since we began measuring on 26 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002105466065 |
|---|---|
| Type | Channel |
| Username | @sgkmsukuleshova |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 26 August 2026 |
| Last confirmed live | 29 October 2026 |
| Measurements held | 9 |
| Confirmed unchanged | 1 time, most recently 29 October 2026 |
| On Telegram | t.me/sgkmsukuleshova |
Hacking & security — 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 20 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 the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 29 Oct 2026, 19:07 | 666 | +5 |
| 22 Oct 2026, 16:58 | 661 | +1 |
| 14 Oct 2026, 13:16 | 660 | +2 |
| 6 Oct 2026, 04:20 | 658 | +5 |
| 25 Sept 2026, 01:59 | 653 | +4 |
| 11 Sept 2026, 20:21 | 649 | +110 |
| 3 Sept 2026, 09:45 | 539 | +31 |
| 27 Aug 2026, 10:26 | 508 | no change |
| 26 Aug 2026, 12:15 | 508 | first reading |
8 posts held, back to 24 August 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 8 posts for this entry, the most recent from 26 August 2026. An engagement rate over an empty window would be a number about nothing.
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.
14 reactions across 8 posts, in 2 distinct kinds. The most used accounts for 92.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 13 | 92.9% | |
| 👍 | 1 | 7.14% |
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 8 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 14 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 8 most recent posts we hold, published 24 August 2026 to 26 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.
🦈Во всех последних случаях киберпреступники атаковали небольшие компании - ООО из разных сфер деятельности. 🔎Среди пострадавших: несколько IT-компаний, производственные предприятия, сеть автомоек, компании оптовой торговли и продавцы пиломатериалов. Средняя сумма перевода мошенникам составляет ~ 22 000 BYN.
❤1
‼️ «ДИРЕКТОР» ПРОСИТ СРОЧНО ПЕРЕВЕСТИ ДЕНЬГИ? НЕ СПЕШИТЕ: КИБЕРМОШЕННИКИ АТАКУЮТ БИЗНЕС ✅Внимание, бухгалтеры и руководители организаций! (Особенно ООО) 🔵В Беларуси набирает обороты такая схема кибермошенничества: злоумышленники выдают себя за 🫥директоров компаний и требуют срочно перевести деньги. В правоохранительные органы продолжают поступать заявления от организаций, ставших жертвами киберпреступников. 💻Мошенник…
❤1
Photo, posted without a caption
❤2
‼️Осторожно, мошенники‼️ 🎥В социальных сетях распространяется реклама, оформленная под бренд «Газпром». 🆕Пользователям из Беларуси предлагают «заработок» на торговле на бирже - якобы до 125 000 BYN. ⚡Для привлечения внимания создана игра-симулятор: после прохождения участнику предлагают продолжить успешный трейдинг, указав персональные данные и никнейм в Telegram. ❗Аналогичная схема применяется в России. 🔤🔤🔤🔤🔤 Не вво…
❤1
🔵Не дай себя обмануть - проверь аккаунт до того, как станет поздно! 🇧🇾В Беларуси работает уникальный сервис - Проверь.Бел , который ‼️помогает быстро выявлять мошенников в соцсетях и мессенджерах.‼️ 💬Получили сообщение от незнакомца? 💰Вам предлагают перевод, покупку или «выгодную» сделку? Не спешите доверять - сначала➡️ проверьте! ✅Просто введите имя аккаунта или ссылку на профиль на сайте Проверь.Бел - и сразу узнае…
❤1
☀️📚 Считанные дни до старта учёбы — ловим последние моменты лета! До начала учебного года осталось всего несколько дней. Совсем скоро мы снова встретимся в стенах колледжа, а пока — продолжаем гордиться работой наших девушек в студенческих педагогических отрядах! 👧🎒 Дорогие бойцы студотрядов Социально-гуманитарного колледжа УО «Могилёвский государственный университет имени А. А. Кулешова», наслаждайтесь последней с…
❤3👍1
🔎Техника обмана достаточно интересная: это не классический «дипфейк с нуля» - используется приём, который в англоязычных источниках называют audio grafting: берётся подлинная видеозапись публичного лица, кадр сохраняется без изменений, а звуковая дорожка полностью заменяется на синтезированный ИИ-голос. 🤖Технически для клонирования голоса достаточно трёх секунд референсной аудиозаписи - то есть любого интервью или п…
❤1
❤️🎒 «В школу с Добрым Сердцем»: подводим итоги и говорим спасибо! В рамках республиканской акции Могилевской городской организации ОО «БРСМ» в нашем колледже проходил сбор канцелярских товаров для детей из многодетных, неполных семей и социальных учреждений. Выражаем искреннюю благодарность каждой учебной группе СГК МГУ имени А.А. Кулешова, принявшей участие в этом благородном деле! ✏️
❤3
Showing the 8 most recent of 8 posts we hold for @sgkmsukuleshova. 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 29 October 2026 — this entry's latest reading, not the date you are reading this.
“СГК МГУ имени А.А.Кулешова” (@sgkmsukuleshova), 666 subscribers as measured 29 October 2026. Telegram Register, tgregister.com/channel/sgkmsukuleshova.
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.