Channel
@xuyanet
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
8,120subscribers
-18 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001141073901 |
|---|---|
| Type | Channel |
| Username | @xuyanet |
| Description | Про жизнь во Франции, продукты, бизнес и AI. По вопросам @FaryaRos |
| Created | 21 May 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/xuyanet |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 14:04 | 8,120 | -10 |
| 9 Aug 2026, 15:15 | 8,130 | -8 |
| 6 Aug 2026, 10:30 | 8,138 | no change |
| 6 Aug 2026, 04:15 | 8,138 | first reading |
20 posts held, back to 19 March 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 11 pagesof 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 20 posts for this entry, the most recent from 13 July 2026. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 12 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
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.
213 reactions across 15 posts, in 5 distinct kinds. The most used accounts for 42.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 😁 | 90 | 42.3% | |
| 🔥 | 62 | 29.1% | |
| ❤ | 44 | 20.7% | |
| 👍 | 16 | 7.51% | |
| 🤬 | 1 | 0.469% |
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 15 of the 20 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 213reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 19 March 2026 to 13 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.
Когда мне тяжело и я устала, я куда нибудь еду. Всегда встречаю что-то смешное. На всю жизнь и в память) например изрядно выпив вина, 10 минут мы не могли открыть Теслу в такси, а на вопрос официанта к заказанной курице which side?, моя подруга выпалила LEFT! Боже, на всю жизнь запомню наш истеричный ржач Но переплюнуло все это видео. Иногда хочется много чего не знать, например как Китаянки и Тайки которые фоткают…
😁13
Ребята, это мой продуксьен экрит на французском. Уровень б1. Косяки тут в каждом слове, не говоря уже о предложении. Мои слезы на бумаге уже высохли, если что. В Тулузе жара с засухой, как никак.... Зато я поняла приоритет среди студентов, которые поступают, такой: понимание выше говорения, говорение выше чтения, чтение выше письма. Потому что, если ты понимаешь все, что тебе говорят, жить с этим легче. А молчание-…
🔥8❤5😁3
В Тулузе активизировались грабители. У меня на окнах стоят решетки, но все равно стремно однако. Франция в принципе известна своими прицельными грабежами. Причем делают все зверзки продумано. Выслеживают жертву долго, нанимают школоту, которую никто даже задержать на месте не может, обучают ее и они уже делают грязную работу. Сейчас в некоторых районах даже есть официальное предупреждение, мол, "аккуратно, зло не др…
🔥12😁10❤4
Смешная айтишка во Франции. Каждую неделю утечки катастрофического масштаба в крупнейших государственных, банковских и страховых сервисах. Еще в гос.сервисах в принципе невозможно ничего загрузить с первого раза и истекающая внезапно сессия в середине работы - нормальное явление. Например, в РФ если банк не доступен 3 минуты или крупная утечка - это целое событие требующее отдельных заголовков всех СМИ. Тут - обыденн…
😁10🔥2❤1
Так, уважаемые охуительные айти компании с хуллиардными оборотами. Ваш охуительный UX в личных кабинетах охуительно ломается на ЦА - сотрудниках бумерах за 50... О них подумайте, пожалуйста!!!
😁18🔥3❤1
Вот она ... богатая жизнь: свежайшая клубника сладющая, прошуто из итальянской лавки с трюфелем, утренний хлеб с пекарни с изюмом и яблоком, кофе в чашке Villeroy&Boch...и ложка....ложка, из Degrenne, между прочим! И гвоздь программы, лучшее что Франция не производит, а как бы надо - пластиковая скатерть из shein за 7 долларов....
😁13❤9👍4
Еще раз убеждаюсь, что вебинары в производстве самый дешевый обучающий формат продукта. Самый скучный и устаревший. У нас преподаватели, когда делают тренажеры, фигачат их ночами и вечно опаздывают по срокам производства. ВСЕ и ВСЕГДА! Вовлеченные препы еще и встречаются с фоновой тревогой, которую неизбежно приходиться успокаивать. А я их понимаю! В вебинаре все косяки скрыты харизмой и пустой иногда болтавней, а в…
🔥12❤4
Ребят, наврала. 28,3% вышло, если быть точным, не 25:)
😁3👍2
ИП во Франции: что отличается от РФ Открыли ИП во Франции для тестирования зарубежного русскоязычного рынка. Микропредприниматель - это что-то между самозанятостью и полноценным ИП в нашем понимании. Оно даёт большинство возможностей нормального бизнеса. Открывается онлайн за 2-3 дня. Налог считается каждый месяц, с каждого платежа забирает порядка 25%. Для нас много, но бюрократически сильно проще, и вот про эту р…
🔥7❤3
Video message, posted without a caption
Video message, posted without a caption
Video message, posted without a caption
Showing the 12 most recent of 20 posts we hold for @xuyanet. 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.
Citation-graph rank — 241,477 of 1,345,403entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Named by 5 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
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.
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“ROSLOVETS: AI, IT and Miaou Miaou Miaou” (@xuyanet), 8,120 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/xuyanet.
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.