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Channel

HORECAGO! О ресторанах - серьезно и не очень

@HoReCaGO_school_Rostov

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry

6,088subscribers

+452 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001778571178
TypeChannel
Username@HoReCaGO_school_Rostov
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live6 November 2026
Measurements held26
Confirmed unchanged1 time, most recently 6 November 2026
On Telegramt.me/HoReCaGO_school_Rostov

Topic

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 12 September 2026 and assigned it the closest of 31 fixed categories, at 91% 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.

Growth

5,6366,0885,8627 August 2026 — 5,636 subscribers7 August 2026 — 5,636 subscribers10 August 2026 — 5,642 subscribers13 August 2026 — 5,648 subscribers16 August 2026 — 5,645 subscribers19 August 2026 — 5,652 subscribers23 August 2026 — 5,677 subscribers26 August 2026 — 5,679 subscribers29 August 2026 — 5,682 subscribers31 August 2026 — 5,675 subscribers3 September 2026 — 5,671 subscribers8 September 2026 — 5,681 subscribers13 September 2026 — 5,731 subscribers17 September 2026 — 5,755 subscribers26 September 2026 — 5,868 subscribers5 October 2026 — 5,898 subscribers11 October 2026 — 5,929 subscribers15 October 2026 — 5,933 subscribers18 October 2026 — 5,935 subscribers21 October 2026 — 5,945 subscribers24 October 2026 — 5,947 subscribers26 October 2026 — 5,944 subscribers29 October 2026 — 5,996 subscribers1 November 2026 — 6,059 subscribers3 November 2026 — 6,071 subscribers6 November 2026 — 6,088 subscribers7 August 20266 November 2026
26 measurements spanning 91 days, net +452. 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 5,568–6,156 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)SubscribersChange
6 Nov 2026, 11:406,088+17
3 Nov 2026, 21:406,071+12
1 Nov 2026, 06:096,059+63
29 Oct 2026, 16:475,996+52
26 Oct 2026, 23:045,944-3
24 Oct 2026, 06:545,947+2
21 Oct 2026, 14:155,945+10
18 Oct 2026, 12:395,935+2
15 Oct 2026, 02:575,933+4
11 Oct 2026, 12:585,929+31
5 Oct 2026, 00:595,898+30
26 Sept 2026, 09:165,868+113
17 Sept 2026, 05:165,755+24
13 Sept 2026, 05:385,731+50
8 Sept 2026, 23:185,681+10
3 Sept 2026, 20:375,671-4
31 Aug 2026, 19:485,675-7
29 Aug 2026, 04:345,682+3
26 Aug 2026, 03:025,679+2
23 Aug 2026, 13:155,677first reading

Engagement

33 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 12 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
8.53%
avg views ÷ 6,088 subscribers
Avg views / post
519
14 posts measured
Reaction rate
2.14%
reactions ÷ views · ER floor
Posts in window
14
of 33 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. It is computed over the 12 of 14 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 5 November 2026
Posts held33 (3 August 2026 – 5 November 2026)
Views total7,272
Reactions total131
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken5 Nov 2026, 17:05 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
7m 02s
Average length
35s

Measured directly from 12 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.

Reaction mix

354 reactions across 30 posts, in 15 distinct kinds. The most used accounts for 58.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤20658.2%
🔥7019.8%
👍3710.5%
💯71.98%
😁71.98%
🤣51.41%
👌41.13%
👏41.13%
🤗41.13%
👎20.565%
😢20.565%
😱20.565%
🙈20.565%
custom 540913603224955485610.282%
🤝10.282%

Custom emoji. One row above is a 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 count beside it is 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 30 of the 33 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 354 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 33 most recent posts we hold, published 3 August 2026 to 5 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 Stars

Stars received
2
across the posts below
Posts paid on
2
of 32 we hold a reading for · 6%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @HoReCaGO_school_Rostov. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 33 most recent posts we hold for this entry, published 3 August 2026 to 5 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

Telegram’s own ‘edited’ marker: 4 of 14 posts held from the last 30 days (28.6%) 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).

5 Nov 2026, 15:02 UTC203 views5 reactionsread 5 November 2026
Photo

Ясмин Буали сама заполняет график выпечки на стене пекарни «Май». Это так мило 🌝

❤5

5 Nov 2026, 08:14 UTC361 views7 reactionsread 5 November 2026

Отказаться от ИИ, чтобы остаться умным - самый глупый способ быть умным Любой контролируемый инструмент увеличивает возможности

❤7

5 Nov 2026, 06:48 UTC420 views4 reactionsread 5 November 2026
Video

Собираю списки #рестораныМосквы для поездки в столицу. На эту кофейню после ее открытия в сентябре, напали все блогеры из-за огромных очередей и долгого ожидания заказа. И это еще один пример, что даже в сложное время можно открыться так, чтобы даже очереди за кофе не остановили людей приехать именно к вам. Думаю, на момент моего визита шум поутихнет, и можно будет оценить место, которое открыли ребята из Махачкал…

❤2👍2

4 Nov 2026, 14:47 UTC464 views6 reactionsread 5 November 2026
Photo

Нет большей радости, чем настроенный автопостинг рилс и каруселей в запрещенную сеть. Это магия. Сам предложил идею поста, сам все нарисовал, текст для подписи написал, сам разместил. Следующий этап - настроить все другие соц. сети, начать записывать youtube видео. Студия для этого не нужна - фон он самый красивый нарисует. Сам сделай обложку, сам опубликует. В каком невероятном мире мы живем. Ну и без иллюзий. Н…

👏3❤2👍1

4 Nov 2026, 05:20 UTC507 views16 reactionsread 5 November 2026
Video

Ролик, сделанный не в ИИ. Это реальный пес со своим хозяином, профессиональным гонщиком, которые любят пекарню «Пекули», и добираются сюда таким вот необычным образом. Это видео - заряд позитива на весь день 🌝

❤16

3 Nov 2026, 15:11 UTC544 viewsread 5 November 2026
Photo

Чувствуется под конец года усталость от отчетности? Особенно, наверное, от ошибок, которые в ней почему-то постоянно появляются? Это не дело! Ошибки нужно исправить, чтобы не мучаться и направить свою энергию в нужное русло. Давайте сделаем это вместе. 📌 5 ноября в 14:00 мск DocsInBox приглашает на интенсив по отчетности ресторана: ищем ошибки в товарно-складском учете. Что будем обсуждать на интенсиве: 🔹 Номенкла…

3 Nov 2026, 06:02 UTC550 views14 reactions1 Starread 5 November 2026

#HORECAGO_ВФОКУСЕ 8 событий, которые меняют ресторанный бизнес. Итоги прошлой недели 📷 TikTok запустил ресторанный гид Must Eat на основе 40 млн публикаций и комментариев. Пользователи могут выбирать заведения по кухне, району, цене и видеоотзывам. Пока сервис работает в трёх регионах США. Соцсеть становится конкурентом ресторанных справочников. 📷 В США рестораны запрещают смартфоны за столом. В нью-йоркском Masa н…

❤9👌4👍1

2 Nov 2026, 16:24 UTC550 views9 reactionsread 5 November 2026
Photo

Вот таких инициативных ребят всегда надо поддерживать! Менеджер ресторана хочет на тренинг, пришла и попросила его оплатить, и компания не отказала. Мы из-за этого на сайте даже сделали возможность скачать письмо руководителю с просьбой оплатить тренинг. Кстати, сайты теперь делаем сами внутри команды с помощью вайбкодинга. ОН ОЧЕНЬ КРАСИВЫЙ - просто посмотрите, какие чудеса творит нейросеть. Пишите мне, если в…

❤5🔥4

2 Nov 2026, 06:43 UTC600 views10 reactionsread 5 November 2026
Video

В сети завирусилось это видео. Осторожно - тут много мата. Официант один день побыл менеджером и записал коллегам обращение: Если без мата: гости выносят мозг, любимая команда добивает, а вечером хочется водки из горла. А чего мы хотели? Вчера он носил тарелки, как официант. А сегодня на должности менеджера (куда ставят обычно по принципу выжившего) он должен знать цифры смены, читать гостя как психолог, мирить к…

🔥5❤3🤣2

2 Nov 2026, 05:10 UTC558 views20 reactionsread 5 November 2026
Photo

Ростов-на-Дону в ноябре - это малина за 1000 руб/кг

❤12🔥8

1 Nov 2026, 10:35 UTC602 views14 reactionsread 5 November 2026
Photo

Новая красивая «masa madre molinería» в Мещерском парке в Москве. Не устану говорить, для меня это лучший проект во всей стране. Вносим в списки #рестораныМосквы Фото взяла в канале Дениса Бобкова

🔥8❤6

1 Nov 2026, 05:55 UTC623 views12 reactionsread 5 November 2026
Photo

Хочется начать воскресенье с красивого 🌝 Известный шеф-повар, совладелец Pool bistro в Санкт-Петербурге, Владимир Чистяков, женился. Он давно ушел из всех известных звездных проектов в найме, какое-то время был в тени, а потом открыл свой проект. Просто любуемся и улыбаемся . Звала его спикером два раза, пока отказывал, но я не теряю надежды - он очень харизматичный.

❤12

Showing the 12 most recent of 33 posts we hold for @HoReCaGO_school_Rostov. 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.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Forward network

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 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.

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.

Appears in Telegram’s recommendations for other channels

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.

CHOKUDA | Ростов-на-Дону
@chokuda_rnd · 40,357
Telegram ranks this channel #10 of 74 here — alongside 73 others — read 30 August 2026
Стойкий Ресторатор
@the_restorator · 19,994
Telegram ranks this channel #15 of 93 here — alongside 92 others — read 28 September 2026
Георгий Ривера
@riverapeople · 33,348
Telegram ranks this channel #41 of 71 here — alongside 70 others — read 9 September 2026
Нетмонет
@netmonet_co · 194,229
Telegram ranks this channel #52 of 87 here — alongside 86 others — read 28 September 2026
Enter Ростов-на-Дону
@enter_rostov · 19,006
Telegram ranks this channel #60 of 81 here — alongside 80 others — read 4 October 2026

This channel appears in 5 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

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 6 November 2026 — this entry's latest reading, not the date you are reading this.

“HORECAGO! О ресторанах - серьезно и не очень” (@HoReCaGO_school_Rostov), 6,088 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/HoReCaGO_school_Rostov.

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.