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Channel

QUADRO ROOM

@quadror

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Cite this entry

6,710subscribers

+56 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-1001435378615
TypeChannel
Username@quadror
CreatedBetween 1 April 2019 and 30 September 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live17 August 2026
Measurements held6
Confirmed unchanged1 time, most recently 17 August 2026
On Telegramt.me/quadror

Growth

6,6546,7106,6827 August 2026 — 6,654 subscribers7 August 2026 — 6,654 subscribers8 August 2026 — 6,655 subscribers11 August 2026 — 6,697 subscribers14 August 2026 — 6,702 subscribers17 August 2026 — 6,710 subscribers7 August 202617 August 2026
6 measurements spanning 10 days, net +56. 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 6,646–6,718 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Aug 2026, 22:336,710+8
14 Aug 2026, 17:486,702+5
11 Aug 2026, 15:566,697+42
8 Aug 2026, 15:146,655+1
7 Aug 2026, 23:156,654no change
7 Aug 2026, 23:096,654first reading

Engagement

20 posts held, back to 4 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 7 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
21.9%
avg views ÷ 6,710 subscribers
Avg views / post
1,470
20 posts measured
Reaction rate
1.31%
reactions ÷ views · ER floor
Posts in window
20
of 20 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 17 of 20 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 11 August 2026
Posts held20 (4 August 202611 August 2026)
Views total29,337
Reactions total337
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 02:54 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.

What this channel posts

Video runtime
19s
Average length
10s

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

337 reactions across 16 posts, in 11 distinct kinds. The most used accounts for 78.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
26478.3%
🔥288.31%
👏123.56%
😍123.56%
😁72.08%
👍51.48%
30.89%
❤‍🔥20.593%
🎉20.593%
💯10.297%
🤯10.297%

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 17 of the 20 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 337reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 4 August 2026 to 11 August 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
1
across the posts below
Posts paid on
1
of 20 we hold a reading for · 5%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @quadror. 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 20 most recent posts we hold for this entry, published 4 August 2026 to 11 August 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

11 Aug 2026, 11:35 UTC817 views39 reactionsread 12 August 2026
Photo

Как мы работаем с 3D коллажами Всё, что вы видите здесь — это реальные проекты, которые сейчас в работе и которые вы знаете из публикаций в нашем блоге. Настоящие концепции, которые мы презентуем заказчикам. Обратите внимание, насколько сочно и цельно выглядит концепция уже на этапе 3D коллажа. Это не черновой набросок — это полноценная, продающая подача: визуально насыщенная, стилистически выверенная, с которой не

35🔥4

10 Aug 2026, 12:08 UTC≈1,320 views31 reactionsread 12 August 2026
File

Внимание, оставляем PDF-файл — СТРУКТУРА КУРСА! Для нас важно, чтобы у вас было достаточно времени изучить и понять продукт — тем более что мы начали рассказывать о курсе только неделю назад. Мы видим, что direct буквально завален вопросами о цене — и это абсолютно понятно. Финальная цена — 39 990₽, но у тех, кто присоединится на старте продаж, будет возможность забрать курс за 33 990₽ 🔥 Мы долго думали и анализи

21🔥10

6 Aug 2026, 14:43 UTC≈1,930 views24 reactionsread 12 August 2026
Video

Можно ли выстраивать геометрию и форму в ArchiCAD? Да, можно. Курс не привязан жестко к SketchUp — вы можете отстраивать коробку помещения в любой удобной вам программе: Revit, ArchiCAD или другой. В дополнительных материалах курса мы даём размеры острова, кухни и других ключевых элементов, поэтому вы сможете воспроизвести геометрию в своей рабочей среде. Единственный нюанс — скорость и удобство при работе со сложн

18👏3❤‍🔥2🤯1

6 Aug 2026, 14:43 UTC≈1,480 views0 reactionsread 12 August 2026

Добрый день, возможно ли выстраивать геометрию и форму в архикад? Чертежи вы делаете в архикаде? Зачем добавлять скетчап ради геометрии, у него есть преимущество? Подскажите пожалуйста 🙏

6 Aug 2026, 14:29 UTC≈1,380 views5 reactionsread 12 August 2026
Video message

Video message, posted without a caption

3😍2

6 Aug 2026, 14:24 UTC≈1,400 views13 reactionsread 12 August 2026
Photo

Кому подойдет этот курс? - Новичкам и профи, которые хотят создавать визуально понятные и эстетичные 3D коллажи. - Тем, кто ценит время и хочет ускорять разработку проектов, не бояться правок и экспериментировать с дизайном. - Дизайнерам и концептуалистам, работающим с винтажем, арт-объектами и мебелью редких брендов — со всем, чего нет в стандартных библиотеках или пока существует только в вашей голове 🫶 Стоит ли п

10🔥2👍1

6 Aug 2026, 14:23 UTC≈1,170 viewsread 12 August 2026

Добрый день! В каких нейросетях вы работаете после фотошоп? Будет ли этот курс полезен тем кто уже внедрил эту систему (фотошоп коллаж обработка в нейросети) себе в работу? Это больше для тех кто совсем не работает так или будет обьемная и полезная информация для уже опытных?

6 Aug 2026, 14:15 UTC≈1,210 views18 reactionsread 12 August 2026
Video

Многие делают кейсы, полностью работая в SketchUp, и скачивают мебель прямо внутри программы. Почему мы добавляем мебель через Photoshop, а не через библиотеку SketchUp? Да, в SketchUp есть библиотека мебели — это правда. Но у неё есть ограничения: модели нужно искать, вставлять, подгонять масштаб, натягивать материалы и текстуры. И самое главное — вы ограничены тем, что есть в этой библиотеке. Мы строим в SketchUp

15👍2😍1

6 Aug 2026, 14:15 UTC≈1,170 viewsread 12 August 2026

Интересно как вы собираете скетчап? Чисто обьем? Без конкретной мебели? Я имею ввиду покупной? Я так понимаю что вы собираете белую модель? Делаете нужный ракурс потом фотошопе или прокриэйте накладываете текстуры? И потом это отправляете в ИИ? Так?

6 Aug 2026, 14:07 UTC≈1,350 views18 reactionsread 12 August 2026
Photo

«Смогу ли я пройти курс, если совсем не владею SketchUp и Photoshop?» Да, конечно. Для прохождения курса вам не нужно владеть программами. В курсе вы изучите функционал необходимых программ на ПК, чтобы построить 3D коллаж и визуализировать его при помощи ИИ. Поэтому даже если сейчас вы не знакомы с этими программами, вы освоите их. 🔥 На курсе вы научитесь собирать высокоэстетичные коллажи и визуализировать их при

11🔥5👍1😍1

6 Aug 2026, 14:07 UTC≈1,340 viewsread 12 August 2026

Добрый день. Для эффективного обучения по вашему курсу , необходимо уверенно владеть Sketch up, Photoshop и уметь обращаться с нейросетью?

6 Aug 2026, 14:06 UTC≈1,340 views6 reactionsread 12 August 2026

Сегодня продолжу разбирать ваши вопросы — их накопилось много, и это здорово! Хочу, чтобы вы максимально понимали, что вас ждет на курсе.

42

Showing the 12 most recent of 20 posts we hold for @quadror. 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.

Posts edited after publishing

@quadror edited 1 post 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.

First edit seen
12 August 2026
Most recent edit
12 August 2026

Citation-graph rank

Citation-graph rank — 1,304,759 of 1,550,164entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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.

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 17 August 2026 — this entry's latest reading, not the date you are reading this.

“QUADRO ROOM” (@quadror), 6,710 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/quadror.

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.