Telegram RegisterThe public register of Telegram

Channel

Лаборатория слайдов

@slidelaboratory

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

3,141subscribers

-1 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001369092432
TypeChannel
Username@slidelaboratory
Created13 October 2020measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held3
Confirmed unchanged2 times, most recently 13 August 2026
On Telegramt.me/slidelaboratory

Growth

3,1413,1433,1426 August 2026 — 3,142 subscribers6 August 2026 — 3,143 subscribers9 August 2026 — 3,141 subscribers6 August 20269 August 2026
3 measurements spanning 4 days, 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 3,141–3,143 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
9 Aug 2026, 19:413,141-2
6 Aug 2026, 23:403,143+1
6 Aug 2026, 07:173,142first reading

Engagement

19 posts held, back to 21 April 2025the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 3 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
25.0%
avg views ÷ 3,141 subscribers
Avg views / post
786
3 posts measured
Reaction rate
2.88%
reactions ÷ views · ER floor
Posts in window
3
of 19 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 5 August 2026
Posts held19 (21 April 20255 August 2026)
Views total2,358
Reactions total68
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 23:46 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
22s
Average length
22s

Measured directly from 1 video 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

714 reactions across 19 posts, in 16 distinct kinds. The most used accounts for 40.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥28940.5%
22331.2%
👍10314.4%
❤‍🔥344.76%
👏324.48%
81.12%
🥰60.84%
👀50.7%
🎉30.42%
😢30.42%
👌20.28%
👎20.28%
🏆10.14%
💔10.14%
🤔10.14%
🤮10.14%

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 19 of the 19 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 714reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 19 most recent posts we hold, published 21 April 2025 to 5 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
8
across the posts below
Posts paid on
4
of 19 we hold a reading for · 21%
Most on one post
3
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @slidelaboratory. 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 19 most recent posts we hold for this entry, published 21 April 2025 to 5 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

5 Aug 2026, 16:01 UTC383 views14 reactionsread 7 August 2026
Photo

Книга книгой, а надо возвращаться к публикациям и у меня для вас есть классное событие ツ 12 августа в 18:00 по мск, Артем Гусев, основатель бюро Глагол, проведет открытый онлайн-разбор, где возьмет типовую защиту проекта или инициативы перед руководителем или клиентом и разберет: ➊ C чего начинается подготовка защиты. ➋ Где чаще всего теряется смысл выступления. ➌ Что поможет утвердить проект с первой итерации. И

6👍4🔥3👎1

20 Jul 2026, 16:28 UTC905 views31 reactionsread 7 August 2026

Ребцы, тут такое дело. Я хочу запустить подкаст о презентациях Поймал себя на мысли, что хочу запустить подкаст: звать гостей, разговаривать на темы дизайна, маркетинга, коммуникаций и публичных выступлений. Получается такой подкаст в рамках моих каналов про презы — @slidelaboratory и @slidegallery. Я вижу три причины, почему стоит запустить подкаст. Первая причина — хочется поговорить. В прошлом году восемь месяц

🔥1511👍4💔1

17 Jul 2026, 15:16 UTC≈1,070 views23 reactionsread 7 August 2026
Photo

Предзаказ книги «Конструктор слайдов» в Читай-городе, на Озоне, в Буквоеде и Book24 В прошлой заметке я ничего толком не рассказал про книгу. То сообщение было для тех, кто уже и так знал, о чём она, и ждал возможности поскорее её заказать. Сейчас подробнее для тех, кто сомневается насчёт покупки или впервые слышит обо всём этом. Задача книги — показать, как самостоятельно оформлять презентации, сделать процесс их

🔥144👍4🏆1

3 Jul 2026, 14:24 UTC≈1,480 views61 reactions3 Starsread 7 August 2026
Photo

Моя книга о дизайне презентаций «Конструктор слайдов» доступна к предзаказу! Некогда объяснять, но если вы давно читаете мои каналы, следили за тем, как я работал над рукописью, и ждете книгу, то мне не нужно вам ничего объяснять. Прямо сейчас книгу можно предзаказать только в «Читай-городе»: https://www.chitai-gorod.ru/product/konstruktor-slajdov-kak-oformit-prezentaciu-kotoruu-ne-stydno-pokazat-bystro-i-bez-mucen

🔥37128👏4

22 Jun 2026, 12:58 UTC≈1,170 views40 reactionsread 7 August 2026

Закончил вычитку книги, набралось всего 43 комментария. Макет с комментариями отправил обратно в издательство. А пока хочу поделиться с вами ощущениями от книги. Возможно, я буду вас бесить, т. к. буду говорить о том, что видел только я сам, а вас тут мариную и говорю о книге, а она всё никак не выйдет… Простите меня, пожалуйста, потерпите ещё немножко. А теперь к впечатлениям. Если кто помнит, в ноябре 2024 года я

37👌2👀1

22 Jun 2026, 11:21 UTC≈1,050 views33 reactionsread 7 August 2026
Photo

Я почти забыл, что писал в книге, ну конечно в общем и целом помню, но какие-то малюсенькие моменты забываются. Все таки рукопись сдал в августе прошлого года и с тех пор к книге не притрагивался. Почти дочитал книгу и о госпаааааади «посвящается таким же тревожным пирочожкам, как я» — это просто прекрасно, меня разорвало от умиления 🫶 Дайте пулицера этому автору!

❤‍🔥245🥰2👎1🔥1

18 Jun 2026, 14:38 UTC≈1,240 views32 reactionsread 7 August 2026
Video message

Video message, posted without a caption

🔥226🎉3👏1

28 Feb 2026, 08:17 UTC≈2,240 views20 reactions1 Starread 7 August 2026
Video

Slidev. Бесплатный open-source инструмент создания презентаций для разработчиков, где вы пишете слайды в .md-файлах, а всё остальное собирается автоматически. По сути это «презентации кодом»: markdown, компоненты, темы, анимации и интерактив — всё в браузере. Из коробки есть базовые анимации, подсветка кода, режим спикера, экспорт в PDF и возможность кастомизировать темы под себя. В связке с нейросетями начинается м

👍116👀3

27 Feb 2026, 09:28 UTC≈1,700 views10 reactions1 Starread 7 August 2026

Регулярные публикации — не мой конёк, но за февраль 👨‍🦲 Безос таки повыкусывал! 5 новых презентаций в галерее: ・Нокнок. Усилим команду ・Творческое объединение «11» ・Медиакит 98mag ・Клаудмил. Дизайн и разработка для e-commerce, retail, промышленности, FMCG, finance, IT, farma ・Стоимость услуг. Предложение. Договор. Напоминаю, что удерживать в столе классную презентацию на русском языке — это преступление против крас

👍8❤‍🔥1👀1

20 Feb 2026, 12:44 UTC≈2,080 views24 reactionsread 7 August 2026
Photo

Плагин экспорта слайдов из Figma в PowerPoint: Pitchdeck Presentation Studio Недавно столкнулся с ситуацией: сделал презентацию в Figma, а после нужно было перевести в редактируемый PowerPoint для клиента. Казалось бы, стандартная задача. Что может пойти не так‽ Но экспортированные файлы почему-то оказывались битыми и не открывались в PowerPoint. Не помог ни плагин Deck, ни экспорт через Figma Slides. Помог только

👍118🔥4🤔1

17 Feb 2026, 09:12 UTC≈1,770 views62 reactionsread 7 August 2026
Photo

Всем привет-привет, давно пора стряхнуть пыль с канала и вернуться к публикациям. К сожалению, новостей по книге у меня для вас нет. Рукопись ещё находится на стороне издательства. Работа над вёрсткой макета почти завершена, сейчас занимаются обложкой. Но я к вам не с пустыми руками пришёл! Запускаю Glyphsy, или просто «Глифси», — минималистичный каталог юникод-символов, где любимые знаки в одном клике от использова

👍28🔥2212

Signed Саша Бизиков

31 Oct 2025, 07:48 UTC≈2,300 views15 reactionsread 7 August 2026

За окном хмурость и дождь, а как там делишки у нашего 👨‍🦲 Безоса? Время взглянуть на новые презы в галерее за октябрь 5 новых презентаций: ・Маца — продуктовый продакшн с эмоциональной эстетикой ・Питч журнала для сотрудников «Сигура» ・Почему все страдают? Как заканчивать проекты без ненависти ко всему ・Only ✸ digital ・Как играют со шрифтами в Т-Банке? Закинуть кайфовую презентацию, не обязательно свою, можно в бота

9🔥4👍2

Showing the 12 most recent of 19 posts we hold for @slidelaboratory. 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.

Citation-graph rank

Citation-graph rank — 73,497 of 1,176,251entries 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.

Mentions

Named by 4 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.

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

“Лаборатория слайдов” (@slidelaboratory), 3,141 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/slidelaboratory.

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.