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Channel

chad

@chadgpt_ru

On this record: Topic · Growth · Engagement · Reactions · Stars · Posts · Citations · Cite this entry

136,175subscribers

+394 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1001849364889
TypeChannel
Username@chadgpt_ru
CreatedBetween 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live15 August 2026
Measurements held9
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/chadgpt_ru

Topic

Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 9 August 2026 and assigned it the closest of 31 fixed categories, at 99% 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

135,781136,406136,093.57 August 2026 — 135,781 subscribers8 August 2026 — 135,866 subscribers9 August 2026 — 135,991 subscribers10 August 2026 — 136,117 subscribers11 August 2026 — 136,242 subscribers12 August 2026 — 136,406 subscribers13 August 2026 — 135,972 subscribers14 August 2026 — 136,000 subscribers15 August 2026 — 136,175 subscribers136,1757 August 202615 August 2026
9 measurements spanning 8 days, net +394. 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 135,687–136,500 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 19:36136,175+175
14 Aug 2026, 12:15136,000+28
13 Aug 2026, 05:56135,972-434
12 Aug 2026, 02:23136,406+164
11 Aug 2026, 02:18136,242+125
10 Aug 2026, 00:02136,117+126
9 Aug 2026, 00:54135,991+125
8 Aug 2026, 01:01135,866+85
7 Aug 2026, 12:15135,781first reading

Engagement

9 posts held, back to 23 April 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 22 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
13.8%
avg views ÷ 136,175 subscribers
Avg views / post
18,800
4 posts measured
Reaction rate
0.335%
reactions ÷ views · ER floor
Posts in window
4
of 9 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 12 August 2026
Posts held9 (23 April 202612 August 2026)
Views total75,310
Reactions total252
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken15 Aug 2026, 19:18 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.

Reaction mix

720 reactions across 9 posts, in 8 distinct kinds. The most used accounts for 45.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
32645.3%
🔥14720.4%
👍13218.3%
557.64%
😍243.33%
👀192.64%
😁121.67%
🤔50.694%

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 9 of the 9 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 720reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 9 most recent posts we hold, published 23 April 2026 to 12 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
14
across the posts below
Posts paid on
5
of 9 we hold a reading for · 56%
Most on one post
5
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @chadgpt_ru. 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 9 most recent posts we hold for this entry, published 23 April 2026 to 12 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

12 Aug 2026, 12:45 UTC≈9,810 views35 reactionsread 15 August 2026
Photo

😗 chad для команд и бизнеса 📊 Один кабинет на компанию Юрлицам — оплата по счёту, закрывающие через ЭДО. Каждому сотруднику можно задать лимит и необходимые модели. В дашборде видно расходы по дням и по людям, отчёт выгружается в Excel одной кнопкой. Данные шифруются, на ваших запросах модели не учатся. 🎛 Доступны все модели Отдельный экран настроек: текст, картинки, видео, аудио, презентации. Включаете то, что нуж

15👍10🔥54🤔1

24 Jul 2026, 19:27 UTC≈23,200 views66 reactionsread 15 August 2026
Photo

😃 Добавили Claude Opus 5 (и не только) Дешевле чем Fable 5 и почти во всех аспектах опережает её, и на голову выше, чем Opus 4.8 Для запросов попроще вышло продолжение в дешевой и сердитой линейке Gemini — Flash 3.6 😁 Ну а если работу надо было сделать ещё вчера — Gemini 3.5 Flash Lite к вашим услугам 😁 Заходите пробовать 🤪

🔥362010

17 Jul 2026, 19:02 UTC≈23,600 views66 reactionsread 15 August 2026
Photo

😘 Добавили Kimi K3 и Grok Imagine Image 👻 Kimi K3 — новая модель от Moonshot AI, которая заняла первое место в арене моделей для кода, обойдя Fable 5 и GPT-5.6 Sol. Прыжок сразу с 18-го места на 1-е. 💻 Заточена под программирование и вайбкодинг — уверенно пишет, дорабатывает и чинит код, лучше всех справилась с фронтендом в 6 из 7 категорий 🧠 Контекст на 1 млн токенов — держит в голове целые проекты, от вёрстки са

👍2725🔥11👀3

17 Jul 2026, 14:32 UTC≈18,700 views85 reactions1 Starread 15 August 2026
Forwarded from @pomoschappPhoto

Нам важно, чтобы забота о старшем поколении становилась проще и доступнее. В этом могут помочь современные технологии, поэтому мы совместно с нашими друзьями из chad собрали шесть идей, как с помощью нейросетей удивить и порадовать пожилых людей. 1️⃣ Оживить старую фотографию Я загружу старую семейную фотографию. Преврати ее в короткое реалистичное видео. Сохрани лица, возраст, одежду, фон и атмосферу оригинального

51🔥14😍144🤔2

10 Jul 2026, 20:50 UTC≈22,700 views90 reactions3 Starsread 15 August 2026

😘 Добавили GPT-5.6, Fable 5 и другие модели 😀 GPT 5.6: Sol, Terra, Luna Ответ от OpenAI на Fable 5 и местами даже мощнее: по агентскому кодингу Sol обошёл флагман антропиков, при этом тратит вдвое меньше токенов. Sol — самая умная, для кода, ресерча и длинных задач. Terra — середина: примерно уровень GPT-5.5, но в два раза дешевле. Luna — самая быстрая, для саммари и рутины. Релиз был непростым: сначала модели по

🔥44377🤔2

27 Jun 2026, 08:03 UTC≈33,300 views90 reactions4 Starsread 15 August 2026
Photo

Добавили и GLM-5.2 и Midjourney v8.1 😆 Midjourney v8.1 — новая версия генератора изображений. 🖼 Создание фото в разрешении: 1024×1024 ⚡️ Стоимость генерации 8800 искр за 4 кадра ✍️ Генерация в 2-3 раза быстрее предыдущих версий. Лучше рисует текст и выдаёт более качественную, связную картинку 🥸 GLM-5.2 — мощная модель от Z.ai заточенная под код, доступна в сервисе и в API 2.0 💻 Сильна в сложной разработке, дебаге и

48👍17😁12🔥11👀2

20 May 2026, 10:59 UTC≈47,800 views131 reactions5 Starsread 15 August 2026
Photo

😘 Кто такие ИИ-креаторы? Вместе с BURO. заглянули за кулисы цифрового творчества: как устроена работа изнутри и где проходит граница, за которой генерация всё ещё остаётся искусством, а личный стиль не растворяется в нейрослопе. 😝 Читайте статью по ссылке

6325👍24🔥15😍4

30 Apr 2026, 16:40 UTC≈49,600 views82 reactionsread 15 August 2026
Photo

📢📢📢📢 Добавили три новые модели 📌 GPT-5.5 от OpenAI. Новое поколение топовой модели. Делает больше с меньшим количеством инструкций — понимает задачу с полуслова. Пользователи отмечают, что модель стала сильнее в коде и отладке, лучше справляется со сложными задачами в несколько шагов и реже требует уточнений по ходу работы. Ещё хвалят более аккуратный и «дизайнерский» результат в креативе — например, при вёрстке ле

👍4122👀8😍65

23 Apr 2026, 10:11 UTC≈35,400 views75 reactions1 Starread 15 August 2026
Photo

📌 Добавили GPT Image 2 — флагманскую модель генерации изображений от OpenAI ✍️ Текст на картинках больше не проблема. Кириллица, иероглифы, арабский — всё читаемо. Постеры, баннеры, карточки товаров, меню. 💎 Модель понимает, как выглядит реальный мир. Точно воспроизводит интерфейсы YouTube, Windows, узнаёт бренды и архитектуру — без референсов, только по описанию. 🍪 Попробуйте в сервисе

45👍13🔥11👀6

Showing the 9 most recent of 9 posts we hold for @chadgpt_ru. 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.

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.

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

“chad” (@chadgpt_ru), 136,175 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/chadgpt_ru.

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.