Channel
@ggauby
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cross-platform identity · Cite this entry
978subscribers
+17 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001332216132 |
|---|---|
| Type | Channel |
| Username | @ggauby |
| Created | 4 September 2018 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 8 August 2026 |
| Last confirmed live | 14 September 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 14 September 2026 |
| On Telegram | t.me/ggauby |
Local community — 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 19 September 2026 and assigned it the closest of 31 fixed categories, at 85% 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 |
|---|---|---|
| 14 Sept 2026, 11:01 | 978 | +1 |
| 6 Sept 2026, 11:01 | 977 | +5 |
| 29 Aug 2026, 13:43 | 972 | +4 |
| 22 Aug 2026, 15:22 | 968 | +7 |
| 14 Aug 2026, 16:15 | 961 | +2 |
| 8 Aug 2026, 04:52 | 959 | -2 |
| 8 Aug 2026, 00:47 | 961 | no change |
| 7 Aug 2026, 12:21 | 961 | first reading |
6 posts held, back to 24 July 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 6 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 2 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.
12 reactions across 4 posts, in 2 distinct kinds. The most used accounts for 66.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 8 | 66.7% | |
| 🔥 | 4 | 33.3% |
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 4 of the 6 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 12 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 6 most recent posts we hold, published 24 July 2026 to 7 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.
Социальная реклама «Серебряный возраст» о возможностях для людей старшего возраста реализовать профессиональный потенциал, открыть собственное дело и получать дополнительный доход. Центры поддержки предпринимательства и бизнес-инкубаторы помогают с консультациями по вопросам бизнеса, административными процедурами и образовательными программами. Найти ближайший центр поддержки предпринимательства можно на сайте МСП.БЕ…
Сохраняя прошлое — созидаем будущее!🕊️ Бойцы ССХО «Поречанка» приняли участие в благотворительной инициативе «Восстановление святынь Беларуси»! Совместили физический труд и духовную составляющую: оказали помощь в благоустройстве Храма святого благоверного князя Александра Невского в Вороново и навели порядок на территории 🤝 🎤Добрые дела объединяют, а трудиться на благо родной Беларуси — искренняя гордость для кажд…
🔥4
🤩🤩🤩🤩 С Днём белорусских студенческих отрядов, бойцы! 🤩 Штаб трудовых дел УО «ГГАУ» поздравляет каждого, кто знает цену честному труду. Студотряды — это не просто работа, это школа жизни, дружба и вклад в будущее нашей страны. Пусть ваша энергия всегда бьет ключом, а трудовое лето запоминается только лучшими моментами. С праздником, бойцы! 🤩 #ГГАУ #СтудотрядыГГАУ
❤6
‼️🏥Марку Ляховичу нужна ваша помощь! Марк не сидит и не ходит! Подарите ему шанс на лучшую жизнь!
🐄Каникулы на ферме. Как студотряд «Поречанка» помогает животноводам Вороновского района О студенческом сельскохозяйственном отряде «Поречанка» имени Героя Советского Союза Николая Овчинникова наслышаны многие: уже несколько лет подряд он признается лучшим в стране по своему профилю👍. 🫐Раньше бойцы студотряда занимались сбором голубики в агрогородке Поречье, но этим летом студенты Гродненского государственного аграр…
❤1
#СтудотрядыГГАУ 🤩Июль в разгаре. Для наших ребят из студотрядов это значит одно — третий трудовой семестр. Первый опыт работы, новые друзья и реальность аграрного сектора. 🤩В объективе сегодня бойцы студотрядов УО «ГГАУ». Мы прогулялись с камерой по их маршрутам и поймали самые атмосферные кадры! ➡️Смотрим на их трудовые будни и заряжаемся энергией!
❤1
Showing the 6 most recent of 6 posts we hold for @ggauby. 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.
A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.
| Label | Hrodna State Agricultural University |
|---|---|
| Description | university in Belarus |
| X / Twitter | @ggau_grodno |
| Official site | http://www.ggau.by/ |
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 14 September 2026 — this entry's latest reading, not the date you are reading this.
“УО "Гродненский государственный аграрный университет" 🌾” (@ggauby), 978 subscribers as measured 14 September 2026. Telegram Register, tgregister.com/channel/ggauby.
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.