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Channel

Брендато.рф - канал

@b_brandato

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

5subscribers

+1 since we began measuring on 26 October 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003720976312
TypeChannel
Username@b_brandato
CreatedBetween 1 February 2026 and 31 July 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded26 October 2026
Last confirmed live3 November 2026
Measurements held2
Confirmed unchanged2 times, most recently 3 November 2026
On Telegramt.me/b_brandato

Growth

454.526 Oct 2026, 04:22 — 4 subscribers26 Oct 2026, 17:06 — 5 subscribers26 Oct 2026, 04:2226 Oct 2026, 17:06
2 measurements taken within a single day, net +1. 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 4–5 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
26 Oct 2026, 17:065+1
26 Oct 2026, 04:224first reading

Engagement

6 posts held, back to 21 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 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
110.0%
avg views ÷ 5 subscribers
Avg views / post
5.5
2 posts measured
Reaction rate
27.3%
reactions ÷ views · ER floor
Posts in window
2
of 6 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 14 October 2026
Posts held6 (21 August 2026 – 14 October 2026)
Views total11
Reactions total3
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken26 Oct 2026, 04:22 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
13s
Average length
7s

Measured directly from 2 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

9 reactions across 4 posts, in 3 distinct kinds. The most used accounts for 66.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥666.7%
❤‍🔥222.2%
❤111.1%

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 4 of the 6 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 9 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 6 most recent posts we hold, published 21 August 2026 to 14 October 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

Telegram’s own ‘edited’ marker: 0 of 2 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).

14 Oct 2026, 06:07 UTC6 views2 reactionsread 26 October 2026
Photo

🏗 Мега Строй — наши первые клиенты из сферы строительства! А своих первенцев мы всегда любим чуть больше 😁🫶 Для команды «Мега Строй» мы изготовили целый комплект брендированной продукции: 👕 Футболки с фирменной печатью 🦺 Жилетки с фирменной печатью ☕ Стаканы для горячих напитков 🧢 Кепки с вышивкой 📓 Фирменные блокноты и ручки Получился целый набор для команды — чтобы фирменный стиль был во всём, от рабочей одежды…

🔥2

13 Oct 2026, 07:39 UTC5 views1 reactionsread 26 October 2026
Photo

🛍 1 500 картонных пакетов для Selective, Находка 💜 Наш постоянный клиент — магазин селективной парфюмерии в ТРК «Сити-центр» ✨ 📦 Сделали: 1 500 картонных пакетов с ручками из репсовой ленты. Зелёный цвет, фиолетовые ручки, логотип и адрес магазина на лицевой стороне. 💜 С Selective мы работаем уже не первый раз. Когда-то именно этот магазин стал для меня одним из первых крупных заказчиков, а теперь продолжаем созда…

🔥1

2 Sept 2026, 05:07 UTC18 viewsread 26 October 2026
Photo

👕 Первый мерч — 30 футболок с вышивкой Для владелицы студии растяжки сделали её первый мерч — небольшой тираж из 30 футболок 🧘‍♀️✨ ☕️ Встретились лично, попили кофе, я показала образцы футболок, чтобы заказчица могла оценить качество и выбрать подходящий вариант. 🤝 Макет мы выбрали и согласовали вместе — от идеи до готового заказа. Да, 30 футболок — небольшой тираж. Но мы с радостью берёмся и за такие заказы ❤️ …

2 Sept 2026, 02:36 UTC13 viewsread 26 October 2026
Photo

☕️ 20 000 стаканов — и теперь они на полках Coffee Tea Room! Для Coffee Tea Room сделали большую партию: 20 000 двухслойных стаканов с крышками — полностью в фирменном стиле кофейни. 📦 А до этого уже делали для ребят бумажную упаковку для десертов. Поэтому продолжили единую визуальную концепцию бренда. 😅 Согласование было долгим: много нюансов, правок и переживаний за результат. Но самое приятное — партия уже у з…

21 Aug 2026, 09:11 UTC14 views3 reactionsread 26 October 2026
Photo

🚗 Папки, сервисные книжки и таблички под стекло для компании «Вест Транзит» Возят автомобили под заказ из Японии, Кореи и Китая - Владивосток. Сделали: 1 000 папок для документов с логотипом · 1 000 сервисных книжек с брендингом · 2 000 номерных табличек под стекло с индивидуальным дизайном. Сроки закрыли с запасом, доставили. Заказ по деньгам небольшой — печатная продукция стоит недорого, тут как есть. Взялась, к…

🔥3

21 Aug 2026, 08:46 UTC11 views3 reactionsread 26 October 2026
Photo

🧸 Пледы, полотенца, шоперы, игрушки и брелоки для базы отдыха «Чинта» Бухта Шепалово под Находкой. Тёплые бассейны в любую погоду Сделали: 50 пледов с вышитым логотипом · 50 больших морских полотенец с логотипом, напечатанным на ткани · 50 шоперов с логотипом · 50 мягких детских игрушек с брендированной биркой, для гостей с детьми · 50 памятных брелоков. Мешок игрушек я везла заказчику и передавала лично. Игрушек …

❤‍🔥2❤1

Showing the 6 most recent of 6 posts we hold for @b_brandato. 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.

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 26 October 2026 — this entry's latest reading, not the date you are reading this.

“Брендато.рф - канал” (@b_brandato), 5 subscribers as measured 26 October 2026. Telegram Register, tgregister.com/channel/b_brandato.

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.