Какие классные малышки от Limoges 🤍 Чайные пары небольшого размера — 170 мл. 2200
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Channel
@katgriga
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry
8,863subscribers
+128 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001926518150 |
|---|---|
| Type | Channel |
| Username | @katgriga |
| Description | Про любимый дом и красоту вокруг 🤍 Мастер спорта по поиску классных вещей на Авито 🥇 Автор: Екатерина @kat_griga По всем вопросам: в личные сообщения сразу со ссылками 💌 |
| Created | Between 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 10 November 2026 |
| Measurements held | 26 |
| Confirmed unchanged | 1 time, most recently 10 November 2026 |
| On Telegram | t.me/katgriga |
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 11 September 2026 and assigned it the closest of 31 fixed categories, at 90% 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 |
|---|---|---|
| 10 Nov 2026, 01:21 | 8,863 | -1 |
| 6 Nov 2026, 07:16 | 8,864 | +12 |
| 3 Nov 2026, 10:35 | 8,852 | +15 |
| 31 Oct 2026, 12:59 | 8,837 | +2 |
| 28 Oct 2026, 06:58 | 8,835 | +40 |
| 24 Oct 2026, 21:06 | 8,795 | +3 |
| 22 Oct 2026, 07:39 | 8,792 | -12 |
| 18 Oct 2026, 18:38 | 8,804 | +6 |
| 15 Oct 2026, 23:50 | 8,798 | +2 |
| 13 Oct 2026, 04:57 | 8,796 | -4 |
| 6 Oct 2026, 14:38 | 8,800 | -11 |
| 29 Sept 2026, 22:01 | 8,811 | -5 |
| 19 Sept 2026, 14:22 | 8,816 | +7 |
| 15 Sept 2026, 03:58 | 8,809 | +1 |
| 11 Sept 2026, 17:39 | 8,808 | -3 |
| 7 Sept 2026, 12:57 | 8,811 | +22 |
| 2 Sept 2026, 09:22 | 8,789 | +2 |
| 30 Aug 2026, 19:17 | 8,787 | +4 |
| 27 Aug 2026, 17:56 | 8,783 | +43 |
| 24 Aug 2026, 12:42 | 8,740 | first reading |
29 posts held, back to 3 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 48 pages of Telegram’s post history, 20 posts per page.
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
| Window | Rolling 30 days · latest post in window 10 November 2026 |
|---|---|
| Posts held | 29 (3 August 2026 – 10 November 2026) |
| Views total | 13,070 |
| Reactions total | 651 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Nov 2026, 00:46 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Lifetime counters from Telegram’s own channel header, read 13 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
2,864 reactions across 29 posts, in 6 distinct kinds. The most used accounts for 39.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1,140 | 39.8% | |
| 🔥 | 906 | 31.6% | |
| ❤🔥 | 425 | 14.8% | |
| 🤩 | 235 | 8.21% | |
| 💔 | 135 | 4.71% | |
| 💘 | 23 | 0.803% |
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 29 of the 29 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 2,864 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 29 most recent posts we hold, published 3 August 2026 to 10 November 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.
Telegram’s own ‘edited’ marker: 0 of 9 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Какие классные малышки от Limoges 🤍 Чайные пары небольшого размера — 170 мл. 2200
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Я тоже вчера отправилась на маркетплейсы. За луковицами 🧚🏼♀️ Остановилась на Ozon. На WB что-то все совсем плохо 🫠 Посмотрела отзывы и решила заказать у нескольких продавцов по пачке луковиц, чтобы на будущее знать у кого стоит заказывать, а у кого нет. Буду надеяться, что приедет именно этот сорт 😅 Самый распространенный сорт бумажных нарциссов — это Paperwhite Ziva. Можно искать по запросам: нарцисс Зива / Ziva…
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Не секрет, что на маркетплейсах можно обнаружить настоящие жемчужины — нужно только знать, где искать 😎 Сегодня, чтобы облегчить вам эту задачу, знакомлю вас с Наташей и её каналом (палочкой-выручалочкой 🪄), где она делится самыми классными находками для дома с тех самых маркетплейсов! Смотрите сами: невероятно стильная люстра (и еще одна), роскошное постельное белье шоколадного оттенка, чудные салфетки с вышивкой …
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Решила в этом году попробовать посадить нарциссы Paperwhites! Самые настоящие рождественские цветы наряду с гиппеаструмом. А я как-то совсем не замечала их раньше! Им не требуется период охлаждения. Сажаем и через 4-6 недель (если все сработает 😅) они зацветут. Вот и проверим! А еще их можно выращивать даже без грунта — просто в воде, в стеклянной ёмкости с галькой. Но я все-таки буду действовать по старинке! Лук…
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Еще в сентябре писала, что ищу новую лампу на комод и делилась подборкой классных вариантов с Авито. Эта лампа тоже была в списке! Я давно их заприметила на The Oblist 🤍 Каково же было мое удивление, когда я увидела подобную лампу на Авито. Думала-думала и на днях поняла, что мне нужна именно она. И, кажется, лампа все это время меня дожидалась! В итоге забрала её 😎 Скорее всего буду менять цвет абажура — форма …
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Друзья, пришло время подборки ваших объявлений с последней гаражной распродажи! Собралась вот такая лаконичная композиция 🤍 • начинаем с посеребренной этажерки нереальной красоты 💔 • классные иллюстрации из французского журнала мод — прекрасная находка для любителей постеров и винтажной графики • предмет для тех, кто любит удивлять гостей — французская масленка Coquillor. Рассказывала про них тут 🧚🏼♀️ • роскошные …
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Совсем не хотелось прощаться с октябрем 💔 И солнечные дни, и теплые туманные утра — прекрасная пора!
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В моей коллекции определенно не хватает этого кресла! Sultana chair — еще один культовый предмет дизайна XX века, созданный американским дизайнером Джорджем Малхаузером в середине 60-х. Каркас выполнен из формованной фанеры и покрыт натуральным шпоном американского ореха. Но главное здесь, конечно, силуэт! Как же мне нравятся эти нереальные скульптурные подлокотники! Мечта 💔
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Я обожаю наблюдать за тем, как классные люди преображают не менее классные пространства! Знаю наверняка, что вы тоже такое любите, поэтому сегодня хочу познакомить вас с Леной и её каналом «Богатая дамочка» 😎 8 лет назад она купила квартиру в сталинке на Черной речке и провернула там капитальный ремонт за 4 месяца — весь этот увлекательный процесс она показывала на канале и это просто кладезь вдохновения, идей и пол…
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А это уже утренняя Авито находка — классная кофейная пара IKEA из 90х 🖤 Давно не встречала их по такой стоимости на Авито. Надо брать! Фотокарточка с просторов Pinterest, чтобы Вы могли оценить пару во всей красе 😎 1100 upd: кофейная пара стремительно нашла новый дом 🫶🏻
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Открыла сейчас Авито и увидела в рекомендациях потрясающей красоты блюдо Kaiser 🤍 У меня есть такое же, но квадратной формы и я его просто обожаю! Кстати говоря, квадратное у продавца тоже есть 😎 Люблю эти блюда за наличие ручек — роскошная деталь! 5000 и 3800 upd: блюда на пути в новый дом 🫶🏻
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Воскресное 🌿 Фермерский рынок в августе — это просто живописное полотно! Каждый раз в восхищении! Сколько же природа дарит человеку 💔
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Showing the 12 most recent of 29 posts we hold for @katgriga. 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.
@katgriga edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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 2 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.
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 15 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 10 November 2026 — this entry's latest reading, not the date you are reading this.
“Дом с мезонином” (@katgriga), 8,863 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/katgriga.
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.