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Channel

Дневник Гастрономии👩🏼‍🍳

@notes_welldone

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Cite this entry

22,271subscribers

-321 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002546265630
TypeChannel
Username@notes_welldone
CreatedBetween 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live30 September 2026
Measurements held34
Confirmed unchanged1 time, most recently 30 September 2026
On Telegramt.me/notes_welldone

Topic

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 10 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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.

Growth

22,27122,59222,431.57 August 2026 — 22,592 subscribers7 August 2026 — 22,592 subscribers8 August 2026 — 22,590 subscribers9 August 2026 — 22,587 subscribers10 August 2026 — 22,577 subscribers11 August 2026 — 22,571 subscribers12 August 2026 — 22,567 subscribers13 August 2026 — 22,562 subscribers14 August 2026 — 22,550 subscribers16 August 2026 — 22,547 subscribers17 August 2026 — 22,538 subscribers18 August 2026 — 22,524 subscribers19 August 2026 — 22,514 subscribers20 August 2026 — 22,502 subscribers22 August 2026 — 22,485 subscribers23 August 2026 — 22,471 subscribers25 August 2026 — 22,469 subscribers26 August 2026 — 22,463 subscribers27 August 2026 — 22,456 subscribers28 August 2026 — 22,454 subscribers29 August 2026 — 22,441 subscribers30 August 2026 — 22,436 subscribers31 August 2026 — 22,437 subscribers1 September 2026 — 22,425 subscribers1 September 2026 — 22,418 subscribers2 September 2026 — 22,413 subscribers4 September 2026 — 22,404 subscribers7 September 2026 — 22,396 subscribers10 September 2026 — 22,378 subscribers12 September 2026 — 22,366 subscribers14 September 2026 — 22,360 subscribers16 September 2026 — 22,341 subscribers18 September 2026 — 22,331 subscribers30 September 2026 — 22,271 subscribers7 August 202630 September 2026
34 measurements spanning 54 days, net -321. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 22,223–22,640 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)SubscribersChange
30 Sept 2026, 12:4022,271-60
18 Sept 2026, 04:0122,331-10
16 Sept 2026, 01:0022,341-19
14 Sept 2026, 09:3822,360-6
12 Sept 2026, 16:2122,366-12
10 Sept 2026, 16:5922,378-18
7 Sept 2026, 14:5722,396-8
4 Sept 2026, 17:1922,404-9
2 Sept 2026, 23:3322,413-5
1 Sept 2026, 23:5922,418-7
1 Sept 2026, 02:0422,425-12
31 Aug 2026, 03:2822,437+1
30 Aug 2026, 01:5222,436-5
29 Aug 2026, 03:0822,441-13
28 Aug 2026, 04:2522,454-2
27 Aug 2026, 03:5722,456-7
26 Aug 2026, 00:2322,463-6
25 Aug 2026, 03:3222,469-2
23 Aug 2026, 22:0222,471-14
22 Aug 2026, 04:5822,485first reading

Engagement

37 posts held, back to 23 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 62 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
13.5%
avg views ÷ 22,271 subscribers
Avg views / post
3,020
12 posts measured
Reaction rate
0.917%
reactions ÷ views · ER floor
Posts in window
12
of 37 held

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.

What these figures were computed from
WindowRolling 30 days · latest post in window 29 September 2026
Posts held37 (23 July 2026 – 29 September 2026)
Views total36,190
Reactions total332
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken30 Sept 2026, 05:25 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.

What this channel posts

Video runtime
34s
Average length
34s

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.

Reaction mix

1,554 reactions across 36 posts, in 9 distinct kinds. The most used accounts for 46.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤72946.9%
🔥51633.2%
👍1419.07%
💯785.02%
❤‍🔥362.32%
😍231.48%
🥰171.09%
👏80.515%
😁60.386%

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 36 of the 37 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 1,554 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 37 most recent posts we hold, published 23 July 2026 to 29 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.

Recent posts

29 Sept 2026, 10:34 UTC≈1,240 views16 reactionsread 30 September 2026
Photo

Осторожно, заготовки вызывают зависимость ⚡ Смотрим стратегические запасы Любови, выпускницы 8 потока. Король ее морозилки — бульон 😁 После курса у меня зависимость от куриного бульона, не понимаю, как я раньше без него жила. Супы, соусы, отварить гарнир или просто кинуть вермишель — и будет суп за 15 минут. Это лучшее вложение денег и единственное обучение, результатами которого я пользуюсь каждый день. Одна беда…

❤9🔥5👍2

28 Sept 2026, 07:35 UTC≈1,650 views53 reactionsread 30 September 2026
Photo

Побочный эффект «Гастрономии», которого не было в программе курса На «Гастрономии» мы учим проектировать персональную систему питания: делать заготовки, быстро собирать ресторанные ужины за 15 минут и экономить бюджет. Но в чатах студентов регулярно происходят вещи, которые в учебный план не заложишь... Делимся сообщением студентки: «Кураторы и мои дорогие сокурсницы! Хочу сказать вам огромное спасибо! Чего я толь…

🔥33❤15👍3💯2

22 Sept 2026, 12:19 UTC≈2,700 views19 reactionsread 30 September 2026
Photo

Пока вы боитесь еды из морозилки, моим студентам за нее платят⤵ 🔥Сверху — заготовки, которые Юлия, выпускница 9 потока, делает на заказ. ➡ Снизу — аппетитные блюда, которые появляются на тарелке через 7-10 минут. Пока многие уверены (и пишут мне в комментариях), что заготовки — это несвежая и невкусная еда, мои студенты окупают обучение и зарабатывают на кулинарных навыках. ⚡ Если понимать техники приготовления и …

❤8🔥8😁3

20 Sept 2026, 11:00 UTC≈2,700 views15 reactionsread 30 September 2026
Photo

Предзапись на Гастрономию: как зарегистрироваться, что дает и сколько стоит ❤️ Отвечаю на главные вопросы ⤵️ 1️⃣ Предзапись бесплатна и ни к чему не обязывает. Зато вы получаете доступ к эксклюзивным материалам в канале предзаписи. Там уже вышли: ✨ 200 идей заготовок ✨ Заготовки из баклажанов на зиму + конструкторы начинок ✨ Лайфхаки по выгодным закупкам на базе ✨ И другие полезные подборки 2️⃣ Для участников я п…

🔥6👍5❤2😍2

19 Sept 2026, 09:03 UTC≈2,800 views21 reactionsread 30 September 2026
Photo

Готовлю 2 дня, чтобы не готовить весь следующий месяц! ✍️✍️✍️✍️✍️✍️ Наполнением своей морозилки поделилась выпускница 9 потока Александра. После прохождения 9 потока активно пользуюсь знаниями, полученными на курсе😍 Расходы на продукты сильно сократились🤑 На прошлых выходных сделала заготовки на месяц 💪 Потратила все выходные, но я точно знаю, что это того стоит 🔥 А самое роскошное — что заготовки радуют не толь…

❤12👍5🔥4

15 Sept 2026, 09:33 UTC≈3,200 views25 reactionsread 30 September 2026
Photo

Как прожить без закупок и кулинарного рабства целый месяц? 🍽️🍽️🍽️🍽️🍽️ Позаботиться о себе заранее и сделать запас заготовок: ➡из которых можно собрать завтрак/обед/ужин за 5 минут; ➡которые нравятся вам и вашей семье. Приглашаю вас на экскурсию в морозилку Маргариты, выпускницы Гастрономии ⬇⬇⬇ Из основного: Морепродукты (мидии, креветки, коктейль) Рваное мясо (свинина, говядина, курица) Филе щадящего запекания Мя…

❤14🔥8💯3

14 Sept 2026, 14:00 UTC≈2,720 views29 reactionsread 30 September 2026
Photo

Больше никаких доставок на случай внезапных гостей! Если вы внедрили систему заготовок, как мои студенты, то вкусный и разнообразный стол можно собрать как конструктор из того, что есть в холодильнике 💃 Как написала Анастасия: Я все чаще замечаю, что накрыть стол для меня все легче и легче, ведь я его собираю исходя из того что есть в холодильнике, блюда и меню рождаются очень быстро 🤣🔥 Вот что я имею в виду, когд…

❤12👍11🔥6

10 Sept 2026, 09:48 UTC≈3,600 views27 reactionsread 30 September 2026
Photo

Как превратить ящик баклажанов в стратегический запас бабагануша? Инвестирую в сезонные продукты не только я, но и мои кураторы! На фото — улов Людмилы, куратора школы Welldone, руководителя крупного кейтеринга в Воронеже и прекрасного профессионала в области гастрономии. Белые баклажаны запекла, очистила от их тонкой шкурки, блендером и проварила с добавлением специй, оливкового масла, пасты тахини, лимонного сок…

🔥13❤7👍6💯1

8 Sept 2026, 09:00 UTC≈3,650 views17 reactionsread 30 September 2026
Photo

Система Шелуши — в чём её суть? 🧑‍🍳 Мы часто говорим о заготовках. Но это только одна частичка системы, благодаря которой мои студенты: ⚡️ Тратят до 30% меньше на продукты и не оставляют всю зп в магазине у дома ⚡️ Экономят до 40 часов в месяц благодаря чёткому меню и скорости ⚡️ Питаются качественно, вкусно и сбалансированно ⚡️ Готовят ресторанные блюда без рецептов из простых и понятных продуктов ⚡️ Навели порядо…

❤9🔥6👍2

7 Sept 2026, 08:04 UTC≈3,820 views51 reactionsread 30 September 2026
Photo

8 кг кабачков, которые приносят радость ❤️ Так рассказала про свой выходной Ирина, выпускница 8 потока Гастрономии. За 3 часа под сериал у нее получился роскошный объем заготовок для завтраков, перекусов и десертов к чаю. 1. Шоколадный брауни с кабачком. Это наш фаворитный рецепт для использования кабачка. 2. Блины кабачковые. Неожиданно оказалось ОЧЕНЬ вкусно. Потом их нафаршировала курино-сырной начинкой и курин…

❤29🔥16💯6

3 Sept 2026, 13:03 UTC≈4,480 views43 reactionsread 30 September 2026
Photo

Полезные находки для заготовок от выпускников Гастрономии ⚡ Вот такой набор скоро окажется в морозилке Александры, студентки 8 потока. Она проходила курс в прошлом году — до сих пор остались очень приятные воспоминания, и, конечно, навыки и привычки! И муж тоже очень рад 🤩 Что использовано на фото: ✨пакеты черные для вакууматора — (ozon 247751994) ✨металлические формы (в них же можно запекать после дефростации) —…

🔥28❤12🥰3

1 Sept 2026, 07:00 UTC≈3,630 views16 reactionsread 30 September 2026
Photo

200+ ИДЕЙ ЗАГОТОВОК НА КАЖДЫЙ ДЕНЬ 🔥 Все, кто заполняют анкету предзаписи на курс «Гастрономия», получают большую подборку из 200+ идей заготовок на завтраки, обеды, ужины и даже спонтанные приемы гостей. Она составлена на основе любимых блюд из морозилок наших выпускников: 🔹 Базовые заготовки: томленая говядина, ростбиф, курица щадящего запекания, крепкие бульоны — чтобы собирать ресторанные тарелки за 10 минут. 🔹…

💯7🔥6❤3

Showing the 12 most recent of 37 posts we hold for @notes_welldone. 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.

Polls

The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.

17 Aug 2026, 12:25 UTCAnonymous Poll295 voters

Делитесь, сервируете еду или нет?

  1. да, обожаю!35%
  2. нет, не успеваю47%
  3. нет, не вижу необходимости22%

The shares total 104%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 37 most recent posts we hold, published 23 July 2026 to 29 September 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

Forward network

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.

Mentions

Named by 3 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.

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.

Cite this entry

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 30 September 2026 — this entry's latest reading, not the date you are reading this.

“Дневник Гастрономии👩🏼‍🍳” (@notes_welldone), 22,271 subscribers as measured 30 September 2026. Telegram Register, tgregister.com/channel/notes_welldone.

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.