Просто и понятно рассказываем, как делать красивые презентации.
Лайфхаки и полезные советы по Powerpoint.
Все вопросы: @a_chbe
Заказать презентацию: @ProstoiPP_bot
Биржа: https://telega.in/c/prostoiPP
РКН № 5302079962
Created
Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
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 11 September 2026 and assigned it the closest of 31 fixed categories, at 53% 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
59 measurements spanning 97 days, net -222. 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 9,958–10,246 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 59
Measured (UTC)
Subscribers
Change
11 Nov 2026, 22:49
9,991
-10
9 Nov 2026, 22:15
10,001
-3
8 Nov 2026, 10:37
10,004
-7
7 Nov 2026, 08:20
10,011
-2
6 Nov 2026, 08:21
10,013
-4
4 Nov 2026, 05:17
10,017
-1
3 Nov 2026, 03:11
10,018
-4
2 Nov 2026, 04:38
10,022
-1
1 Nov 2026, 07:30
10,023
-2
31 Oct 2026, 08:27
10,025
-2
30 Oct 2026, 09:51
10,027
-2
28 Oct 2026, 04:18
10,029
-1
27 Oct 2026, 05:27
10,030
-2
26 Oct 2026, 04:38
10,032
+1
25 Oct 2026, 03:16
10,031
-3
24 Oct 2026, 02:59
10,034
-8
23 Oct 2026, 05:57
10,042
-4
22 Oct 2026, 07:37
10,046
-2
21 Oct 2026, 01:29
10,048
-1
19 Oct 2026, 22:00
10,049
first reading
Engagement
59 posts held, back to 12 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 62 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
9.62%
avg views ÷ 9,991 subscribers
Avg views / post
961
19 posts measured
Reaction rate
1.27%
reactions ÷ views · ER floor
Posts in window
19
of 59 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 18 of 19 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 13 November 2026
Posts held
59 (12 July 2026 – 13 November 2026)
Views total
18,257
Reactions total
216
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
15 Nov 2026, 11:56 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
≈1,150
Videos
≈836
Links
≈419
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
11m 06s
Average length
28s
Measured directly from 24 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
709 reactions across 58 posts, in 11 distinct kinds. The most used accounts for 52.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
374
52.8%
👍
156
22.0%
🔥
143
20.2%
👏
16
2.26%
🤗
7
0.987%
💩
3
0.423%
🦄
3
0.423%
👎
2
0.282%
🤯
2
0.282%
🥴
2
0.282%
🌚
1
0.141%
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 58 of the 59 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 709 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 59 most recent posts we hold, published 12 July 2026 to 13 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: 0 of 19 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).
Легкая рамка для фотографии. Погнали!
1. Рисуем прямоугольник с противолежащими скруглёнными углами и отправляем его под фотографию.
2. Обрезаем фотографию по фигуре, повторяющей силуэт нашего "скруглёныша".
3. Фигуру заливаем белым, убираем контур и добавляем эффект внешней тени, а на рисунок — эффект внутренней.
❤️ — просто и красиво!
#медиаконтент
Как повысить контрастность?
Нам понадобится всего один инструмент — полилиния.
1. Рисуем силуэт блоков текста с помощью полилинии, заливаем в черный, убираем контур и применяем эффект сглаживания.
2. Проделываем эту штуку и с менюшкой в верхней части слайда, подгоняем по своим местам и забираем эту фишку к себе в арсенал :)
❤️ — лайк!
#медиаконтент
Готовите проект о технологиях? Пост для вас.
Шаблон презентации для технологического бизнеса, стартапа или инвестиционного предложения.
Макеты легко адаптируются под профиль компании, услуги, сам продукт, стратегию и портфолио проектов.
❤️ — четкий!
#набор
Маленькая деталька, которая говорит о серьезном подходе к презентации!
Нужно всего лишь нарисовать черный прямоугольник с черным контуром так, чтоб он перекрывал скругленные углы рамки.
Чуть позже покажем как эта деталь выглядит в целом проекте презентации :)
❤️ — ждём!
#медиаконтент
2 шрифта от вас, наших подписчиков, которые стоит включить в свои проекты! ❤️
1. Марс — массивный широкий декоративный гротеск с выразительной геометрией. Подойдёт для постеров, обложек, логотипов, упаковки и крупных акцентных заголовков.
2. Пелагея — декоративный шрифт в славянском стиле с потёртой фактурой и двумя начертаниями. Подойдёт для афиш, обложек, этикеток, сувениров и исторических проектов.
🔥 — надо по…
3D-эффект для оформления фото на слайде!
1. Рисуем два белых треугольника и размещаем их на углах фотографии.
2. Добавляем эффект внешней тени так, чтоб тень попадала на картинку (в зависимости от того, с какой стороны вы расположили треугольник).
❤️ — а ловко вы это придумали!
#медиаконтент
Шикарный титульный слайд проекта о постановке целей!
1. Размещаем несколько блоков текста с информацией о презентации — дата, меню управления, заголовок, подзаголовок, чей это проект и т. д.
2. Добавляем картинку, показывающую всю серьезность намерений автора, отправляем её на задний план и финальный штрих — градиентную подложку.
3. Редактируем подложку — меняем цвет маркеров, прозрачность, отправляем её на слой м…
Чтоб акцентировать внимание на объекте — нужно его "подсветить". Но как?
У нас есть слайд, на котором нет ярких объектов, и чтоб перевести акцент на нужные нам "кнопки", мы используем такой простой способ:
1. Заливаем блок текста в бордовый цвет, рисуем два круга и размещаем их под иконками.
2. Перекрашиваем также в бордовый цвет, удаляем контур и применяем эффект сглаживания.
Осталось только подредактировать раз…
Презентация баскетбольного турнира!
Динамичная презентация для ивентов, спортивных команд и клубов.
16 классных слайдов с дерзким дизайном, подходят для расписания мероприятия, состава, статистики игроков, анализа матчей, стратегии и результатов чемпионата.
❤️ — четко выглядит!
#набор
❤8👍4👎1
Showing the 12 most recent of 59 posts we hold for @prostoiPP. 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.
Mentions
Named by 2 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.
Named by
Channels on the register whose posts name this channel's handle.
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.
Секреты PowerPoint @PPTSECRETS · 23,612 Telegram ranks this channel #2 of 84 here — alongside 83 others — read 16 September 2026
Шаблоны для презентаций | Powerpoint шаблоны @powerpointrus · 36,336 Telegram ranks this channel #3 of 81 here — alongside 80 others — read 3 September 2026
Бонни и Слайд @bonnieandslide · 24,386 Telegram ranks this channel #16 of 99 here — alongside 98 others — read 15 September 2026
Магия Excel @lemur_excel · 49,837 Telegram ranks this channel #42 of 95 here — alongside 94 others — read 25 August 2026
Дизайн-гусь @designgoose · 22,661 Telegram ranks this channel #49 of 92 here — alongside 91 others — read 19 September 2026
Ким Воронин | A+ @Voroninkim · 37,324 Telegram ranks this channel #52 of 98 here — alongside 97 others — read 31 August 2026
ЭКСЕЛЬХАК @excelhackru · 74,150 Telegram ranks this channel #53 of 87 here — alongside 86 others — read 19 August 2026
Лови исходники! @Ishoddesign · 31,275 Telegram ranks this channel #81 of 96 here — alongside 95 others — read 5 September 2026
This channel appears in 8 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 11 November 2026 — this
entry's latest reading, not the date you are reading this.
“Простой PowerPoint” (@prostoiPP), 9,991 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/prostoiPP.
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.