Осенняя женщина КофеЛемонс)🍂🌵
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Channel
@yanafisti
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
14,275subscribers
-102 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001199538519 |
|---|---|
| Type | Channel |
| Username | @yanafisti |
| Created | 12 January 2018 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 7 August 2026 |
| Last confirmed live | 19 September 2026 |
| Measurements held | 32 |
| Confirmed unchanged | 1 time, most recently 19 September 2026 |
| On Telegram | t.me/yanafisti |
Other / unclassifiable — 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 10 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 why it has no browse page of its own yet.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 19 Sept 2026, 16:41 | 14,275 | -2 |
| 17 Sept 2026, 02:00 | 14,277 | -1 |
| 15 Sept 2026, 01:20 | 14,278 | -7 |
| 13 Sept 2026, 12:02 | 14,285 | -5 |
| 11 Sept 2026, 17:00 | 14,290 | +5 |
| 9 Sept 2026, 04:41 | 14,285 | +9 |
| 5 Sept 2026, 19:00 | 14,276 | -9 |
| 3 Sept 2026, 16:58 | 14,285 | -7 |
| 2 Sept 2026, 09:52 | 14,292 | -5 |
| 1 Sept 2026, 07:18 | 14,297 | -7 |
| 31 Aug 2026, 04:33 | 14,304 | -5 |
| 30 Aug 2026, 01:14 | 14,309 | -6 |
| 29 Aug 2026, 04:43 | 14,315 | -1 |
| 28 Aug 2026, 04:14 | 14,316 | -4 |
| 26 Aug 2026, 09:43 | 14,320 | -6 |
| 25 Aug 2026, 08:33 | 14,326 | -1 |
| 24 Aug 2026, 05:19 | 14,327 | -3 |
| 22 Aug 2026, 14:14 | 14,330 | -2 |
| 21 Aug 2026, 06:13 | 14,332 | -4 |
| 20 Aug 2026, 08:03 | 14,336 | first reading |
10 posts held, back to 28 June 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 52 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 2 September 2026 |
|---|---|
| Posts held | 10 (28 June 2026 – 2 September 2026) |
| Views total | 12,049 |
| Reactions total | 694 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 2 Sept 2026, 18:54 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.
Measured directly from 5 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.
1,355 reactions across 10 posts, in 5 distinct kinds. The most used accounts for 88.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1,193 | 88.0% | |
| custom 5301218364687927258 | 69 | 5.09% | |
| custom 5773652573835758861 | 55 | 4.06% | |
| custom 5359293061333535340 | 31 | 2.29% | |
| custom 5393152070939322166 | 7 | 0.517% |
Custom emoji. 4 of the rows above are 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 10 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 1,355 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 28 June 2026 to 2 September 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.
Осенняя женщина КофеЛемонс)🍂🌵
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7(!) лет потребовалось этой эстетичной и гениальной сумке M2Malletier, чтобы дождаться наискучнейшую и примитивнейшую мышиную юбку от Befree - и наконец начать жить свою лучшую жизнь.
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Выходной с Bork🧡⛳️
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Тот самый эксклюзив, который существует либо вообще в единственном экземпляре, либо когда-то был предшественником финального дизайна. Да-да, речь именно о наших подвесках, изготовленных с помощью моей витиеватой фантазии, золотых рук мастера, палочек итальянского стекла и горелки, пламя которой достигает температуры около 1200 °C🔥 Речь о подвесках, созданных вручную в технике lampwork - когда стекло буквально рожда…
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Лето, конечно, пастельное выдалось)… Это я о масштабе бельевого тренда в продаже, а вы что подумали?))) Так много достойных юбок и маек с кружевом, платьев-комбинаций я не припомню давно. В душе радуюсь, что российские производители наконец-то сделали на них ставку и почувствовали, что они вполне безопасны для производства с точки зрения реализации🎇 Вообще забавно осознавать, как вещи, которые когда-то предполагал…
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Перед новым сезоном решила затеять глобальную «чистку» в бренде. Столько времени прошло со старта, столько опыта получено, да и я сама так сильно изменилась внутри, что теперь хочется перемен и в том, с чем я работаю. Поэтому помогайте мне расчищать пространство и забирайте в нашем шоуруме COFFEE x LEMONS: ▪️ тестовые образцы, которые появлялись у меня в процессе разработки изделий; ▪️ единичные украшения, которы…
❤88custom 53592930613335353408custom 57736525738357588615
Проходя свой путь становления и создавая всё, что сегодня есть в моей жизни, практически с нуля, я не понаслышке знаю, насколько ценны поддержка и правильное окружение. Порой одна встреча, несколько минут разговора или чей-то личный пример способны вдохновить и дать силы идти дальше. Именно поэтому я так ценю подобные встречи. Вчера меня пригласили принять участие в круглом столе «Сила влияния», посвящённом вопроса…
❤192custom 530121836468792725814custom 53592930613335353403custom 57736525738357588611
Вчера вместе с «Садами Коломны» провели очень красивое мероприятие, и в очередной раз я поймала себя на мысли, что хочу, чтобы вам было ещё красивее, уютнее, полезнее и ценнее. Потому что COFFEE x LEMONS - это не просто про украшения. Это история про меня и вас ❤️ С самого старта этого бизнеса (декабрь 2019 года) я занималась брендом сама, проживая абсолютно разные периоды своей жизни. Где-то у меня было больше рес…
❤116custom 53012183646879272587custom 57736525738357588615
Какая же крутая клубника у «Сады Коломны»! Аромат просто нереальный🍓🍓🍓🍓
❤178custom 530121836468792725811custom 57736525738357588615
Если я проснусь завтра красная, то знайте - сегодня я ни о чём не жалею🍓😄 А вообще у нас в офисе такое количество клубники, что даже страшно представить, куда её девать, если вы сегодня всё не съедите)) Поэтому всех ждём в нашем шоу-руме! Клубника, шоколад, красивые украшения, болтовня и летнее настроение - что может быть кайфовее этим воскресным днём? 🍓🍫❤️ Приезжайте спасать нас от клубничного передоза)) Менедже…
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Showing the 10 most recent of 10 posts we hold for @yanafisti. 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.
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 2 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 19 September 2026 — this entry's latest reading, not the date you are reading this.
“YANA FISTI” (@yanafisti), 14,275 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/yanafisti.
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.