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Channel

Digital Шкаф

@digitalshkaf

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

7,866subscribers

-202 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001496727657
TypeChannel
Username@digitalshkaf
DescriptionМода, искусство и технологии глазами @alexkuchmadshf.
Created6 October 2020 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live10 November 2026
Measurements held27
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/digitalshkaf

Topic

Memes & entertainment — 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 33% 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

7,8668,0687,9676 August 2026 — 8,068 subscribers6 August 2026 — 8,068 subscribers7 August 2026 — 8,064 subscribers10 August 2026 — 8,056 subscribers13 August 2026 — 8,048 subscribers16 August 2026 — 8,044 subscribers19 August 2026 — 8,035 subscribers23 August 2026 — 8,017 subscribers25 August 2026 — 8,006 subscribers28 August 2026 — 7,995 subscribers1 September 2026 — 7,993 subscribers4 September 2026 — 7,981 subscribers10 September 2026 — 7,972 subscribers14 September 2026 — 7,961 subscribers17 September 2026 — 7,964 subscribers27 September 2026 — 7,945 subscribers5 October 2026 — 7,919 subscribers12 October 2026 — 7,903 subscribers18 October 2026 — 7,901 subscribers20 October 2026 — 7,895 subscribers23 October 2026 — 7,889 subscribers26 October 2026 — 7,884 subscribers29 October 2026 — 7,882 subscribers1 November 2026 — 7,881 subscribers4 November 2026 — 7,880 subscribers7 November 2026 — 7,873 subscribers10 November 2026 — 7,866 subscribers6 August 202610 November 2026
27 measurements spanning 96 days, net -202. 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 7,836–8,098 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 27
Measured (UTC)SubscribersChange
10 Nov 2026, 17:567,866-7
7 Nov 2026, 08:317,873-7
4 Nov 2026, 07:367,880-1
1 Nov 2026, 17:567,881-1
29 Oct 2026, 07:197,882-2
26 Oct 2026, 14:307,884-5
23 Oct 2026, 09:367,889-6
20 Oct 2026, 14:397,895-6
18 Oct 2026, 01:217,901-2
12 Oct 2026, 08:157,903-16
5 Oct 2026, 14:217,919-26
27 Sept 2026, 15:197,945-19
17 Sept 2026, 22:207,964+3
14 Sept 2026, 00:417,961-11
10 Sept 2026, 00:217,972-9
4 Sept 2026, 11:387,981-12
1 Sept 2026, 05:137,993-2
28 Aug 2026, 22:147,995-11
25 Aug 2026, 14:578,006-11
23 Aug 2026, 00:228,017first reading

Engagement

62 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 43 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
12.6%
avg views ÷ 7,866 subscribers
Avg views / post
991
39 posts measured
Reaction rate
1.29%
reactions ÷ views · ER floor
Posts in window
39
of 62 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 November 2026
Posts held62 (3 August 2026 – 14 November 2026)
Views total38,658
Reactions total500
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Nov 2026, 06:06 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
≈6,450
Videos
≈3,820
Links
≈4,560

Lifetime counters from Telegram’s own channel header, read 15 November 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
10m 48s
Average length
24s

Measured directly from 27 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

750 reactions across 62 posts, in 14 distinct kinds. The most used accounts for 25.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤18925.2%
🔥12716.9%
👏11915.9%
👍9312.4%
😱8110.8%
⚡557.33%
💘395.20%
🙏212.80%
💔131.73%
🍾50.667%
👾50.667%
💯10.133%
😎10.133%
🥰10.133%

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 62 of the 62 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 750 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 62 most recent posts we hold, published 3 August 2026 to 14 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.

Recent posts

Telegram’s own ‘edited’ marker: 7 of 39 posts held from the last 30 days (17.9%) 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 Nov 2026, 14:17 UTC862 views8 reactionsread 15 November 2026
Photo

В Москве можно зайти внутрь цифровой работы Если сегодня вечером будете на ВДНХ, загляните в Люминар в 21:00 на Making Magic. Мне из программы больше всего хочется увидеть Semantic Failure Саши Коджо, там текст превращается в мерцающие знаки, которые заполняют зал. 🟢Работа начинается с обычного текста, а потом ты уже не читаешь его, а ходишь внутри того, во что он превратился, такое любим. 2-я Останкинская, 3, «С…

❤2👏2🔥2👍1😱1

14 Nov 2026, 13:36 UTC884 views8 reactionsread 15 November 2026
Photo

У J.Crew теперь есть стилист в Claude На американском сайте бренда запустили Style Advisor, он показывает сразу весь образ, а если что-то не нравится, можно уточнить запрос прямо в чате. 🟢У него есть из чего выбирать: в основе рекомендаций образы, которые стилисты J.Crew уже собрали и сняли для каталога. У бренда годами копились съёмки, а теперь их можно листать по запросу «что надеть на свадьбу», даже если ты п…

❤2🔥2👍1👏1💘1😱1

14 Nov 2026, 11:47 UTC924 views9 reactionsread 15 November 2026
Photo

🧥 3D-модель одежды по одной фотографии В программе Fashion Nexus в Пусане увидел DiffGI, исследовательский проект команды CLO Virtual Fashion. На вход можно дать фото вещи или выкройку, на выходе получается 3D-геометрия, которую можно покрутить и использовать для симуляции ткани. Прикольно, что они отдельно взялись за края ткани. В обычной 3D-генерации рукав или вырез легко превращаются в сплошную форму, здесь мод…

⚡2❤2👍1👏1💘1🔥1😱1

13 Nov 2026, 13:13 UTC962 views11 reactionsread 15 November 2026
Video

Промо у них, конечно, сумасшедшее ↪️небольшое добавление к этому посту↩️

❤3👍3⚡1👏1💘1🔥1😱1

13 Nov 2026, 10:58 UTC≈1,070 views11 reactionsread 15 November 2026
Photo

↪️Надя Ли Коэн сняла кино про ковры↩️ У Nordic Knots вышла короткометражка Noctambulism, её сделали Надя Ли Коэн и Чарли Денис. Всё происходит на вилле в Голливудских холмах, где люди в вечерних нарядах очень стильно ползают по полу. ↖️Смотрим здесь.

👏3⚡2❤2👍1💔1🔥1😱1

13 Nov 2026, 10:54 UTC975 views11 reactionsread 15 November 2026
Photo

RIMOWA Х Maison Margiela 🟢RIMOWA и Maison Margiela сделали чемодан Classic Cabin и сумку 5AC XL, оба вручную покрыли белой краской, которая со временем будет трескаться и стираться. А в рекламе они вообще забрызгали белой краской целую комнату, на стене остались силуэты чемодана и сумки. Первая царапина после перелёта тут буквально часть дизайна. ↖️ Коллаб выходит 19 ноября.

⚡2❤2💔2👍1👏1👾1🔥1😱1

13 Nov 2026, 08:36 UTC932 views12 reactionsread 15 November 2026
Forwarded from @vvibeworkingVideo

➡️ Пересобрал мини-документалку кодом, без единой генерации На кэмпе мы с ребятами разбирали разные способы монтажа и создания видео, конечно поговорили про генерацию кодом, у меня остался пример про первый кабель через Атлантику - там была плоская карта. Сейчас я дал этот же ролик новой модели Claude Fable 5.2 и попросил сделать как кино. Сверху старая версия, снизу то, что получилось. 🟢 В чем суть: ↪️Это не виде…

🔥4❤2💘2👍1👏1😱1🙏1

13 Nov 2026, 06:09 UTC952 views8 reactionsread 15 November 2026
Photo

➡️ Кроссовки, которые печатают за три часа Индийский Drifbolt выпустил кроссовки, у которых верх и подошву печатают одной деталью, на чёрных Wave сбоку прям хорошо видно, как решётка с носка уходит в подошву. ↪️Через отверстия проходит воздух, а под ногой эта же решётка должна пружинить↩️ Прикольно, что, по словам команды, на печать пары уходит около трёх часов, теперь они хотят печатать обувь по скану стопы - а э…

❤2👍2🔥2👏1😱1

12 Nov 2026, 15:18 UTC928 views9 reactionsread 15 November 2026
Photo

Анук Яй как героиня фантастики Елизавета Породина сняла Анук Яй для ноябрьского Teen Vogue. Очень понравилась обложка. 🟢В самом интервью Анук говорит, что хотела бы сыграть Шторм из «Людей Икс», вампира или какую-нибудь хитрую злодейку. ↖️Подробнее читайте здесь.

❤3😱2👍1👏1🔥1🙏1

12 Nov 2026, 13:16 UTC966 views8 reactionsread 15 November 2026
Photo

🕶️ Gentle Monster открыли предзаказ на очки с Gemini Gentle Monster сделали умные очки вместе с Google и Samsung - обещают все знакомые нам функции, в анонсе конечно пример с меню - смотрите на меню, спрашиваете, что там написано, и слышите перевод прямо в очках, а щё можно спросить дорогу или сделать фото голосом, пока телефон лежит в кармане. ↖️Как это работает ↪️Ну и самое главное - наконец-то кто-то подумал да…

⚡1❤1👍1👏1👾1💔1🔥1😱1

12 Nov 2026, 09:12 UTC933 views10 reactionsread 14 November 2026
Photo

➡️Из эскиза в вышивку прямо в магазине В Германии SAP и VF открыли экспериментальный магазин с Vans, Timberland и The North Face, там есть умное зеркало, в примерочную можно попросить принести другой размер, а в отдельные часы магазин вообще работает без персонала на месте Но самый кайф в том, что прямо в магазине можно заказать вышивку по своему эскизу, показываешь рисунок, объясняешь, что хочешь получить, ИИ помо…

❤3👍3🔥2👏1😱1

12 Nov 2026, 08:11 UTC926 views7 reactionsread 14 November 2026
Photo

➡️Как Disney теперь показывает идеи для своих парков Disney и Adobe объявили о сотрудничестве, и прикольно, что команда Imagineering уже берёт нарисованный от руки эскиз и через Firefly превращает его в проработанный 2D-концепт, а ещё у них есть отдельная модель, которая помогает делать материалы в стилистике конкретных франшиз 🔵Условно, вы придумали пространство для парка и набросали его на бумаге, теперь можно бы…

👏2⚡1❤1🍾1👍1😱1

Showing the 12 most recent of 62 posts we hold for @digitalshkaf. 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

@digitalshkaf edited 4 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
12 November 2026
Most recent edit
13 November 2026

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.

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.

Fashion Factory School
@hacking_fashion · 32,825
Telegram ranks this channel #44 of 88 here — alongside 87 others — read 4 September 2026
Щёлочь®
@sholotch · 26,021
Telegram ranks this channel #54 of 90 here — alongside 89 others — read 13 September 2026
ХОТ ДИДЖИТАЛ от Влада Ситникова
@HotDigital · 22,338
Telegram ranks this channel #76 of 99 here — alongside 98 others — read 18 September 2026
Егор Кузьмин XR
@EgorKuzminxr1 · 21,749
Telegram ranks this channel #84 of 90 here — alongside 89 others — read 23 September 2026

This channel appears in 4 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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“Digital Шкаф” (@digitalshkaf), 7,866 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/digitalshkaf.

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.