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Channel

diskill | школа дизайна интерьера

@diskill_school

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

63,081subscribers

-197 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001639527116
TypeChannel
Username@diskill_school
Description🔸ТОП лайфхаков по созданию дизайн-проекта: https://t.me/diskill_school/1990 🔸Бесплатно создайте свой первый дизайн-проект под руководством наставника: https://t.me/diskill15_bot
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 live28 September 2026
Measurements held33
Confirmed unchanged1 time, most recently 28 September 2026
On Telegramt.me/diskill_school

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 9 September 2026 and assigned it the closest of 31 fixed categories, at 87% 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

63,08163,30963,1957 August 2026 — 63,278 subscribers7 August 2026 — 63,252 subscribers9 August 2026 — 63,246 subscribers10 August 2026 — 63,227 subscribers11 August 2026 — 63,221 subscribers12 August 2026 — 63,207 subscribers13 August 2026 — 63,208 subscribers14 August 2026 — 63,205 subscribers15 August 2026 — 63,204 subscribers17 August 2026 — 63,209 subscribers18 August 2026 — 63,197 subscribers19 August 2026 — 63,198 subscribers20 August 2026 — 63,212 subscribers21 August 2026 — 63,205 subscribers23 August 2026 — 63,233 subscribers24 August 2026 — 63,235 subscribers25 August 2026 — 63,223 subscribers26 August 2026 — 63,234 subscribers27 August 2026 — 63,239 subscribers28 August 2026 — 63,248 subscribers29 August 2026 — 63,260 subscribers30 August 2026 — 63,240 subscribers31 August 2026 — 63,229 subscribers1 September 2026 — 63,197 subscribers2 September 2026 — 63,166 subscribers4 September 2026 — 63,172 subscribers6 September 2026 — 63,205 subscribers10 September 2026 — 63,295 subscribers12 September 2026 — 63,309 subscribers14 September 2026 — 63,270 subscribers15 September 2026 — 63,285 subscribers17 September 2026 — 63,309 subscribers28 September 2026 — 63,081 subscribers7 August 202628 September 2026
33 measurements spanning 52 days, net -197. 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 63,047–63,343 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
28 Sept 2026, 17:1863,081-228
17 Sept 2026, 19:0263,309+24
15 Sept 2026, 19:4063,285+15
14 Sept 2026, 03:2063,270-39
12 Sept 2026, 07:3763,309+14
10 Sept 2026, 03:0163,295+90
6 Sept 2026, 17:1663,205+33
4 Sept 2026, 05:1763,172+6
2 Sept 2026, 20:4563,166-31
1 Sept 2026, 18:5463,197-32
31 Aug 2026, 17:2563,229-11
30 Aug 2026, 17:4263,240-20
29 Aug 2026, 15:1263,260+12
28 Aug 2026, 15:5663,248+9
27 Aug 2026, 18:4763,239+5
26 Aug 2026, 19:0863,234+11
25 Aug 2026, 21:5663,223-12
24 Aug 2026, 20:0263,235+2
23 Aug 2026, 03:4463,233+28
21 Aug 2026, 14:1463,205first reading

Engagement

57 posts held, back to 4 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 116 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.91%
avg views ÷ 63,081 subscribers
Avg views / post
3,100
24 posts measured
Reaction rate
1.16%
reactions ÷ views · ER floor
Posts in window
24
of 57 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 1 October 2026
Posts held57 (4 July 2026 – 1 October 2026)
Views total74,290
Reactions total862
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Oct 2026, 16:03 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

Photos
≈2,110
Videos
≈484
Links
≈674

Lifetime counters from Telegram’s own channel header, read 2 October 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.

Video runtime
56m 45s
Average length
2m 59s

Measured directly from 19 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

2,429 reactions across 57 posts, in 14 distinct kinds. The most used accounts for 50.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1,23750.9%
🔥56223.1%
👍36415.0%
❤‍🔥1415.80%
👏281.15%
💯210.865%
🤩170.7%
🤔150.618%
😱140.576%
🤯80.329%
👎70.288%
😁70.288%
🥰70.288%
🎉10.041%

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 57 of the 57 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 2,429 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 57 most recent posts we hold, published 4 July 2026 to 1 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.

Telegram Stars

Stars received
1
across the posts below
Posts paid on
1
of 57 we hold a reading for · 2%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @diskill_school. 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 57 most recent posts we hold for this entry, published 4 July 2026 to 1 October 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

1 Oct 2026, 08:55 UTC≈1,320 views19 reactionsread 2 October 2026
Photo

Если вы из Нижнего Новгорода, давайте увидимся вживую ❤️ 8 октября в 16:00 я буду в салоне FT DECO на встрече для дизайнеров. Вход на мероприятие бесплатный. Рассказывать буду про авторский надзор и управление проектом. В чём разница и как не брать на себя лишнюю ответственность. Разберём, где действительно заканчивается зона ответственности дизайнера, какие задачи стоит брать на себя, а какие нет. А ещё немног…

❤14🔥4❤‍🔥1

29 Sept 2026, 10:05 UTC≈2,230 views10 reactionsread 2 October 2026
Photo

Уже завтра 30 сентября состоится бесплатный открытый урок: «Как дизайнеру интерьера зарабатывать в 2 раза больше, делегируя идеи и рутину нейросетям». ✅ Зарегистрироваться бесплатно на открытый урок: Записаться бесплатно На уроке наш преподаватель Лиза Рабизо покажет, как дизайнер может использовать ИИ в работе: — быстро составлять ТЗ под квартиру, дом, офис или коммерческий объект — создавать референсы под запр…

❤6👍3❤‍🔥1

28 Sept 2026, 10:03 UTC≈2,010 views12 reactionsread 2 October 2026
Photo

Нет идей для интерьера? ИИ поможет вам! Бывает, что не можешь придумать интерьер. Хотя ТЗ есть, а клиент примерно объяснил, что хочет. Обычно дизайнер идёт в Pinterest и часами ищет «что-то похожее». Но готовые референсы редко подходят на 100%: где-то не та мебель, где-то слишком дорогая отделка, где-то не тот свет, стиль или настроение. С нейросетями можно быстрее. ИИ помогает сгенерировать много разных референ…

❤11❤‍🔥1

27 Sept 2026, 10:02 UTC≈2,070 views15 reactionsread 2 October 2026
Photo

Делегирование рутины нейросетям — это не громкие слова. Вы действительно можете сделать ИИ вашим ассистентом и освободить время для большего количества проектов. Или для себя 😃 ИИ помогает ускорить самые долгие и нервные этапы проекта: — собрать ТЗ за 15 минут — найти и сгенерировать референсы за 20 минут — сделать первые визуализации не за недели, а за один вечер — быстро поменять пол, цвет стен, свет, мебель, а…

❤11❤‍🔥4

25 Sept 2026, 10:03 UTC≈2,380 views18 reactionsread 2 October 2026
Photo

«А можно диван сделать светлее? А стены потеплее? И посмотреть ещё вариант с другим светом?» Знакомая ситуация? 😃 Раньше даже небольшая правка могла означать: снова открыть проект, искать нужную модель или материал, менять сцену, запускать новый рендер и ждать. А сейчас часть таких задач можно отдать нейросетям. Например, за несколько минут: — поменять цвет стен или пола — заменить мебель и декор — попробовать д…

❤13👏2🔥2❤‍🔥1

24 Sept 2026, 09:40 UTC≈2,580 views24 reactionsread 2 October 2026
Video

Наши студенты побывали на строительном объекте вместе с руководителем REM.PRO.ART Павлом. На практике разобрали высокие проёмы и скрытые двери, сложные инженерные решения, подготовку под разные виды отделки, работу дизайнера со строителями и то, как заранее обсуждать с заказчиком стоимость каждого решения. 📹 К посту прикрепила полезный фрагмент трансляции, где Павел делится своим опытом работы со скрытыми дверями. …

❤15🔥6❤‍🔥2💯1

23 Sept 2026, 09:38 UTC≈2,780 views11 reactionsread 2 October 2026
Photo

Уже завтра, 24 сентября в 19:00 мск, встречаемся на первом эфире двухдневного интенсива «Как легко подбирать цвета для интерьера». Первый день посвятим сочетаниям. Научимся читать оттенки, понимать, какие цвета работают вместе, правильно распределять их в интерьере и прямо на эфире соберём палитру с нуля. А на втором дне 25 сентября перейдём от палитры к реальному интерьеру. Разберём цветовой веер и NCS, выкрасы,…

❤10❤‍🔥1

22 Sept 2026, 09:00 UTC≈2,880 views15 reactionsread 2 October 2026

Posted without readable text

🔥11🤩3❤‍🔥1

20 Sept 2026, 10:15 UTC≈2,830 views29 reactionsread 2 October 2026
Photo

Хотите разобраться с сочетанием цветов раз и навсегда? 24 и 25 сентября в 19:00 мск я проведу 2-дневный интенсив «Как легко подбирать цвета для интерьера». Два вечера будем плотно заниматься только цветом. 🔸24 сентября — учимся сочетать цвета. Разберём, как читать оттенки, понимать, что с чем сочетается, работать с базовыми цветами и деревом, распределять цвета в правильных пропорциях. Покажу сервисы для подбора…

❤20🔥9

19 Sept 2026, 09:11 UTC≈3,030 views37 reactionsread 2 October 2026

Posted without readable text

❤23❤‍🔥6👍4🔥4

Showing the 12 most recent of 57 posts we hold for @diskill_school. 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

@diskill_school edited 5 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.

First edit seen
14 September 2026
Most recent edit
25 September 2026

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.

Mentions

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.

Channels Telegram recommends alongside this one

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.

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#78
Исследователь счастья - Евгений Тюрин
@cennost1 · 2,163
#79
Ромашковый сбор
@romasheda · 24,479
#80
Roomsi | Всё о дизайне интерьера
@roomsidesign · 5,300
#81
INTERIOR+DESIGN
@interiorplusdesign · 54,360
#82
Школа Виктора Дембовского
@dembowskischool · 2,040
#83
РЕЗЕДА про ДИЗАЙН | Art interior room
@art_design_room · 176
#84
ArchiVision | Архитектура и Дизайн
@dizaynery · 2,205
#85

Read from Telegram’s recommendation API, most recently 21 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.

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.

Geometrium School | Школа дизайна интерьера
@geometrium_school · 43,537
Telegram ranks this channel #3 of 88 here — alongside 87 others — read 28 August 2026
Shelnat
@shelnat · 22,069
Telegram ranks this channel #17 of 75 here — alongside 74 others — read 24 September 2026
Бюро ARCHWOOD_дизайн интерьеров
@archwood · 21,067
Telegram ranks this channel #23 of 82 here — alongside 81 others — read 24 September 2026
Кухни Москва СПБ • Шкафы Москва СПБ • Мебель Москва СПБ | Кухнев
@kuhnevru · 24,937
Telegram ranks this channel #31 of 48 here — alongside 47 others — read 15 September 2026
DOMEO. ДИЗАЙН | РЕМОНТ | НЕДВИЖИМОСТЬ
@domeoru · 517,055
Telegram ranks this channel #32 of 69 here — alongside 68 others — read 10 August 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 28 September 2026 — this entry's latest reading, not the date you are reading this.

“diskill | школа дизайна интерьера” (@diskill_school), 63,081 subscribers as measured 28 September 2026. Telegram Register, tgregister.com/channel/diskill_school.

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.