Приготовьте легендарные синнабоны с корицей уже в этот четверг! За рецептом и уроком на вебинар по французской выпечке и десертам 🫶🏻 https://clck.ru/3VqCuD
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Channel
@olga_lovecake
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry
85,532subscribers
-890 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1001755491668 |
|---|---|
| Type | Channel |
| Username | @olga_lovecake |
| Description | Ольга Шмукста - шеф-кондитер, 10л стажа – преподаватель и автор курсов – основатель самой крупной в РФ Кондитерской онлайн-школы «Love Cake». более 35 000 учеников. https://knd.gov.ru/license?id=6763b9e16aa9672b96eb4414®istryType=bloggersPermission |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 33 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/olga_lovecake |
Education — 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 9 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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 |
|---|---|---|
| 18 Sept 2026, 10:42 | 85,532 | -107 |
| 16 Sept 2026, 03:38 | 85,639 | -26 |
| 14 Sept 2026, 08:19 | 85,665 | -48 |
| 12 Sept 2026, 15:20 | 85,713 | -39 |
| 10 Sept 2026, 14:21 | 85,752 | -84 |
| 7 Sept 2026, 09:00 | 85,836 | -80 |
| 4 Sept 2026, 16:58 | 85,916 | -55 |
| 3 Sept 2026, 06:26 | 85,971 | -26 |
| 1 Sept 2026, 22:25 | 85,997 | -18 |
| 1 Sept 2026, 00:24 | 86,015 | -28 |
| 30 Aug 2026, 23:35 | 86,043 | -29 |
| 29 Aug 2026, 22:14 | 86,072 | -22 |
| 28 Aug 2026, 23:24 | 86,094 | -11 |
| 28 Aug 2026, 01:34 | 86,105 | +29 |
| 26 Aug 2026, 23:14 | 86,076 | +15 |
| 26 Aug 2026, 01:58 | 86,061 | -27 |
| 25 Aug 2026, 02:05 | 86,088 | -24 |
| 23 Aug 2026, 18:23 | 86,112 | -57 |
| 22 Aug 2026, 05:18 | 86,169 | -6 |
| 20 Aug 2026, 20:33 | 86,175 | first reading |
480 posts held, back to 6 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 98 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. It is computed over the 250 of 295 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 22 September 2026 |
|---|---|
| Posts held | 480 (6 August 2026 – 22 September 2026) |
| Views total | 143,700 |
| Reactions total | 2,682 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 22 Sept 2026, 23:29 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 22 September 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.
Measured directly from 156 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.
4,985 reactions across 408 posts, in 15 distinct kinds. The most used accounts for 28.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 1,395 | 28.0% | |
| 🔥 | 1,358 | 27.2% | |
| 👍 | 963 | 19.3% | |
| 😍 | 607 | 12.2% | |
| 🥰 | 508 | 10.2% | |
| 💯 | 48 | 0.963% | |
| 🎉 | 31 | 0.622% | |
| 🤩 | 25 | 0.502% | |
| ⚡ | 16 | 0.321% | |
| 👏 | 11 | 0.221% | |
| 💘 | 9 | 0.181% | |
| 👌 | 7 | 0.14% | |
| 💔 | 5 | 0.1% | |
| 😁 | 1 | 0.02% | |
| 🙏 | 1 | 0.02% |
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 410 of the 480 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 4,985 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 480 most recent posts we hold, published 6 August 2026 to 22 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.
Приготовьте легендарные синнабоны с корицей уже в этот четверг! За рецептом и уроком на вебинар по французской выпечке и десертам 🫶🏻 https://clck.ru/3VqCuD
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А теперь собираем коробочки 😍🎁 Это отличное коммерческое решение для праздничных заказов и подарочных коробочек! На них точно будет спрос! Можно собрать коробку: - из одного вкуса, но с разными декорами - из разных вкусов и декоров - или сделать специальную коллекцию ко Дню матери, 8 марта и тд Эти тарталетки выглядят как премиальный десерт из хорошей французской кондитерской!! Это ваш плюс!! Забирайте обучение …
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Второй ☝🏻 С формами! Я сделала: - тарталетку «Пончик» - тарталетку «Шайба» И покрываем их глазурью, чтобы они ярко блестели 😍 Гель готовим самостоятельно) Какой вариант вам нравится больше?)
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Далее декорируем тарталетки🥰 И тут я показала вам два способа!! Первый ☝🏻, как в бретанских тарталетках, без форм! С помощью: - крема - насадок Отсаживаем волны и цветочки)) Посмотрите, какая красота 😍
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А еще я дам лайфхак, как раскатывать тесто идеальной толщины, не используя постоянно линейку👌🏻
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При приготовлении классической тарталетки важно учитывать: - температуру продуктов и самого теста - как именно перетереть масло с сухими ингредиентами - какая должна получиться крошка - до какой толщины раскатывать - как стабилизировать тесто - как правильно сформировать бортики и донышко - и даже то, с каким кольцом вы работаете И на курсе покажу работу с двумя видами колец 👌🏻 Кстати, какие именно нужно приобрести,…
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С тарталетками можно легко подумать: «Ну что там сложного? Песочное тесто — раскатал и испек»😅 А потом получить: - треснувшие стенки - сползший борт - неровную толщину - деформированный корпус - непропеченное дно Чтобы такого не случилось, я обязательно объясняю нюансы работы с тестом и формовкой👌🏻 Чтобы у вас получилось с первого раза! Поэтому приготовить классическую тарталетку по короткому видео из интернета не…
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Основа классических тарталеток — это не просто песочное тесто 👌🏻 В классической французской кондитерке есть несколько видов песочного теста: - пате бризе (рâte brisée) - пате сабле (рâte sablée) - пате сукре (рâte sucrée) В бретонских тарталетках - пате сабле, а в классических тарталетках использую пате сукре! Рâte sucrée — это буквально «сладкое тесто» 🙌🏻 - в нем больше сахара, чем в бризе - больше муки и меньше …
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Классические тарталетки я умела делать и раньше 👇🏻 Но когда начала готовить этот блок для курса, мне пришлось заново пройтись по всем процессам, чтобы передать технологии вам!) Чтобы вы также четко смогли разбираться во всех процессах 👌🏻 Особенно важна здесь работа с духовкой!! Наша, скажем так, видавшая виды)) Раньше она пекла мягче, а сейчас у нее уже свои особенности с терморегуляцией. 👉🏻 Поэтому во время съем…
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Девчат, давайте с вами подытожим, что вас ждет на курсе по Французским десертам! 🥐 Круассаны и слоеные изделия - 16 видов 🍒 Корпусные десерты премиальная коллекция — 9 эксклюзивных видов ♥️ Бретонские тарталетки — 5 видов 🤫 И СЕКРЕТ! Уже завтра расскажу! И не переживайте, цена будет максимально доступная 🥰 Вы же знаете меня)) А пока переходите в закрытый канал, где будет самая низкая цена курс ➡️ https://clck.r…
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Photo, posted without a caption
А вы знали что синнабоны можно делать не только сладкими? 🍕 Соленый ассортимент это то, чего критически не хватает 90% кондитеров Пока все будут готовить классические синнабон с корицей, вам нужно удивить своих заказчиков и приготовить ПИЦЦАБОН!! - Мы разработали специальную рецептуру для соленого синнабона - И собрали начинку из трех видов сыра, сливочно-сырного соуса, пепперони и томатного соуса Получается оче…
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Showing the 12 most recent of 480 posts we hold for @olga_lovecake. 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.
@olga_lovecake 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.
Named by 8 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.
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 18 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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 36 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“Ольга Шмукста Love Cake” (@olga_lovecake), 85,532 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/olga_lovecake.
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.