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Channel

ИИ-бот №1 | GPT4Telegrambot

@GPT4TChannel

On this record: Topic · Growth · Engagement · What this channel posts · View velocity · Reactions · Stars · Posts · Posts edited after publishing · Citations · Domains linked from posts · Cite this entry

946,795subscribers

+3,175 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 316,228–1,000,000.

Register entry

Telegram ID-1002685702954
TypeChannel
Username@GPT4TChannel
DescriptionОфициальный канал Главного ИИ-бота в Telegram — @GPT4Telegrambot: 🌎 35+ миллионов пользователей 🔥 Бесплатная Nano Banana 💪 Только лучшие нейросети Реклама: @hiai_ads Работаем с @bidfox_news, @Tgpodbor_official
CreatedBetween 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live8 September 2026
Measurements held30
Confirmed unchanged1 time, most recently 8 September 2026
On Telegramt.me/GPT4TChannel

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 8 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

942,911946,795944,8536 August 2026 — 943,620 subscribers6 August 2026 — 943,620 subscribers6 August 2026 — 943,515 subscribers7 August 2026 — 943,299 subscribers8 August 2026 — 943,068 subscribers9 August 2026 — 942,911 subscribers11 August 2026 — 943,379 subscribers12 August 2026 — 943,533 subscribers13 August 2026 — 943,655 subscribers14 August 2026 — 943,578 subscribers15 August 2026 — 943,315 subscribers17 August 2026 — 943,357 subscribers18 August 2026 — 943,936 subscribers19 August 2026 — 944,228 subscribers20 August 2026 — 944,461 subscribers21 August 2026 — 944,361 subscribers22 August 2026 — 944,208 subscribers24 August 2026 — 944,218 subscribers25 August 2026 — 944,444 subscribers26 August 2026 — 944,650 subscribers27 August 2026 — 944,764 subscribers28 August 2026 — 944,752 subscribers29 August 2026 — 944,698 subscribers30 August 2026 — 944,671 subscribers31 August 2026 — 944,617 subscribers1 September 2026 — 945,042 subscribers2 September 2026 — 945,346 subscribers3 September 2026 — 945,426 subscribers5 September 2026 — 945,549 subscribers8 September 2026 — 946,795 subscribers6 August 20268 September 2026
30 measurements spanning 33 days, net +3,175. 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 942,328–947,378 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 30
Measured (UTC)SubscribersChange
8 Sept 2026, 06:38946,795+1,246
5 Sept 2026, 00:57945,549+123
3 Sept 2026, 09:34945,426+80
2 Sept 2026, 02:26945,346+304
1 Sept 2026, 05:45945,042+425
31 Aug 2026, 02:48944,617-54
30 Aug 2026, 04:57944,671-27
29 Aug 2026, 08:13944,698-54
28 Aug 2026, 06:42944,752-12
27 Aug 2026, 04:12944,764+114
26 Aug 2026, 06:24944,650+206
25 Aug 2026, 07:04944,444+226
24 Aug 2026, 07:18944,218+10
22 Aug 2026, 16:08944,208-153
21 Aug 2026, 09:47944,361-100
20 Aug 2026, 13:16944,461+233
19 Aug 2026, 09:46944,228+292
18 Aug 2026, 11:03943,936+579
17 Aug 2026, 10:58943,357+42
15 Aug 2026, 18:12943,315first reading

Engagement

75 posts held, back to 3 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 72 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
2.26%
avg views ÷ 946,795 subscribers
Avg views / post
21,400
61 posts measured
Reaction rate
0.405%
reactions ÷ views · ER floor
Posts in window
61
of 75 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 9 September 2026
Posts held75 (3 August 20269 September 2026)
Views total1,305,200
Reactions total5,285
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Sept 2026, 14:29 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
2,020
Videos
437
Links
762

Lifetime counters from Telegram’s own channel header, read 9 September 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
4m 39s
Average length
23s

Measured directly from 12 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.

View velocity

How fast this channel’s own posts pick up views, from re-reading them repeatedly in the hours and days after they were published rather than the single reading most entries on this register get. Coverage is early and only a small minority of channels hold it at all — a gap in this section means the post has not been re-read again yet, not that nothing happened.

2 most recently posted, with a view-velocity reading
PostReadingsLatest readingCurve24h reachHalf of last-observed views by
/23827 Aug 2026, 09:34 UTC331 minutes2.1 hours old7,640 views ~57 reactions60 minutes: 5,600 interp.still climbing at last readingnot yet at 24h31 minutesupper bound — already past half at first reading · provisional — final view count still climbing
/23816 Aug 2026, 15:50 UTC2145 minutes20 hours old15,300 views ~99 reactions60 minutes: 3,987 interp.3.0 hours: 6,8306.0 hours: 9,07012 hours: 10,500still climbing at last readingnot yet at 24h3.8 hoursprovisional — final view count still climbing

Curve is every standard checkpoint we hold a reading for (+1h, +3h, +6h, +12h, +24h, +48h, +7d after posting) — measured where a real reading landed close enough to that age, interpolated where it did not but readings on both sides let one be worked out between them. Nothing is ever extrapolated past the last real reading. Latest reading is the newest view and reaction count we hold for the post, side by side, so a gap between how views and reactions moved is visible without following it into the Observations section above. 24h reach is that one checkpoint on its own, labelled the same way. Half of last-observed views is the age at which a post’s view count crossed half of the highest figure we have read for it so far — an upper bound when the very first reading was already past half (we cannot see the actual crossing), and biased low while the post is still climbing, since “half of final” is dividing by a number that has not finished growing yet. Both caveats are printed inline wherever they apply, never silently dropped.

Reaction mix

6,479 reactions across 73 posts, in 39 distinct kinds. The most used accounts for 27.7% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1,79527.7%
🔥1,31120.2%
🤨94614.6%
👀4837.45%
🤔4026.20%
👍3966.11%
🤣3415.26%
😱1221.88%
🌚1161.79%
😍1001.54%
❤‍🔥821.27%
😎711.10%
😭550.849%
💘390.602%
🥰330.509%
💔280.432%
🙈220.34%
😁210.324%
😢150.232%
💋120.185%
19 further kinds891.37%

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 75 of the 75 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 6,764 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 75 most recent posts we hold, published 3 August 2026 to 9 September 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
86
across the posts below
Posts paid on
13
of 75 we hold a reading for · 17%
Most on one post
50
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @GPT4TChannel. 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 75 most recent posts we hold for this entry, published 3 August 2026 to 9 September 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

9 Sept 2026, 09:32 UTC≈12,700 views100 reactionsread 9 September 2026
Photo

💕 ВТОРАЯ ПОЛОВИНКА Кажется, выражение «мы одно целое» ещё никогда не было таким буквальным. Делаем необычный парный портрет и ищем сходства, которых раньше не замечали. 📸 КАК СДЕЛАТЬ: 1️⃣ Зайдите в наше приложение 2️⃣ Внизу в меню выберите вкладку Тренды → Общие → «Половинка» 3️⃣ Прикрепите фото и нажмите генерацию. Вы можете отредактировать промпт, добавив детали. Ждём ваши парные портреты в комментариях 👇 ❤️

🤣5133👀10❤‍🔥5👍1

9 Sept 2026, 05:59 UTC≈14,300 views50 reactions25 Starsread 9 September 2026
Photo

🔴 GPT IMAGE 2.5 УЖЕ В БОТЕ Новейшая модель для генерации и редактирования изображений от OpenAI — GPT Image 2.5 — бесплатно доступна прямо в @GPT4Telegrambot. ЧТО НОВОГО В ВЕРСИИ 2.5: ✅ Реалистичнее (куда уже выше) — выросла детализация, естественнее свет и текстуры ✅ Точечное редактирование — меняете отдельный объект на готовом изображении, остальная сцена остаётся нетронутой, даже за несколько правок подряд ✅

👍1917🔥14

8 Sept 2026, 15:31 UTC≈17,200 views72 reactionsread 9 September 2026
Photo

📰 НЕЙРОСЕТИ УВОЛЬНЯЮТ РЕПОРТЕРОВ: КАК ОДИН БОТ УДЕЛАЛ РЕДАКЦИЮ Кожаные журналисты могут начинать обновлять резюме. На недавней конференции Black Hat авторитетное техно-издание WIRED попыталось выпустить горячий эксклюзив про новые сливы от OpenAI. Но их обошли на целых три часа. И сделал это сайт RuntimeWire, у которого в штате ровно ноль человек. Весь этот «медиахолдинг» состоит из ИИ-агентов, а управляет им один

👍32🌚18🤔147🔥1

8 Sept 2026, 11:00 UTC≈15,700 views43 reactions1 Starread 9 September 2026
Video

🔥 КИНЕМАТОГРАФИЧНЫЙ МОНТАЖ УЖЕ В КОМЬЮНИТИ Повторяем сложный вирусный формат с девятью сценами, сменой эмоций и жесткими склейками, где ваше лицо остается неизменным. Полный пошаговый разбор и готовые промпты мы уже выложили. 💚 Мы создали наше ИИ-комьюнити специально для помощи, поддержки и обмена крутыми идеями. Там мы разбираем сложные генерации, делимся секретными фишками и помогаем новичкам. А самое главное: к

22🔥11💘10

8 Sept 2026, 09:33 UTC≈16,800 views55 reactionsread 9 September 2026
Photo

🎆 ВАШЕ ФОТО КАК ОТКРЫТКА Превращаем обычные кадры в стильные минималистичные постеры. Никаких банальных фильтров — только ваша фотография и утонченная минималистичная иллюстрация, словно нарисованная от руки на плотной фактурной бумаге. Идеальный баланс между реалистичной фотографией и современным искусством. 💡 КАК СДЕЛАТЬ: 1️⃣ Зайдите в @GPT4Telegrambot 2️⃣ В меню выберите «Создать картинку» → GPT Images 2 3️⃣ Пр

👍2720🔥8

7 Sept 2026, 15:34 UTC≈20,900 views120 reactions1 Starread 9 September 2026
Photo

💸 КАК ПОТЕРЯТЬ $2.1 МЛН ЗА ОДИН ПРОМПТ Пока мы смеемся над тем, что нейросети путают съедобные грибы с бледными поганками, алгоритмы вышли на новый уровень — теперь они помогают скамерам собирать крипту. Причем чужую. Криптан под ником Alex решил проконсультироваться с ChatGPT, где ему лучше поменять токены sFLR на WFLR. Услужливый бот выдал подробную инструкцию и заботливо приложил ссылочку на нужный сервис. Ниче

🌚64🤔27👍138🤯6😁2

7 Sept 2026, 09:30 UTC≈21,900 views89 reactions1 Starread 9 September 2026
Photo

🤩 ТВОЁ ФОТО В СТИЛЕ BRATZ В детстве мы только мечтали примерить на себя образ той самой дерзкой куклы из нулевых, но технологий для этого еще не было. Самое время наверстывать упущенное! Куклы снова разрывают тренды, а этот промпт превратит ваше фото в идеальную Bratz с фирменными огромными глазами, пухлыми губами и глянцевым блеском. 👄 КАК ПОВТОРИТЬ: 1⃣ Зайдите в @GPT4Telegrambot 2⃣ В меню выберите «Создать карт

55🔥16😱12🥴4😭1🙈1

6 Sept 2026, 12:05 UTC≈23,600 views39 reactionsread 9 September 2026
Photo

🔴 ДАЙДЖЕСТ НЕДЕЛИ: КИНО В TELEGRAM, ИИ-СКАНДАЛЫ И СВЕЖИЕ ТРЕНДЫ Собрали главные события уходящей недели. Пока корпорации спорят об авторских правах, а комики издеваются над чат-ботами, мы добавили в наш сервис мощнейшие модели и подготовили пачку вирусных промптов. Читаем и тестируем! ✨ САМЫЕ ГРОМКИЕ НОВОСТИ И ГАЙДЫ: ✅ МИНИ-ФИЛЬМЫ ПРЯМО В TELEGRAM — ByteDance выпустила Seedance 2.5 с поддержкой генерации до 30 сек

24🔥9💘5👍1

5 Sept 2026, 11:23 UTC≈23,400 views81 reactionsread 9 September 2026
Video

🚀 ТРЕНД С ПРОШЛЫМ И БУДУЩИМ Тот самый визуальный формат, который сейчас взрывает охваты и собирает миллионы просмотров. Забирайте готовую инструкцию для генерации ролика. 📌 КАК ПОВТОРИТЬ: 🔢 Зайдите в @GPT4Telegrambot 🔢 В меню выберите «Создать видео» → Seedance 2.5 🔢 Прикрепите вашу фотографию (желательно сгенерированную в ии, чтобы пройти фильтр) и отправьте промпт, который мы приложили в комментарии ✨ ❤️ — Тоже

33🔥21💔20👍4💘2🤣1

5 Sept 2026, 09:07 UTC≈21,200 views44 reactionsread 9 September 2026
Video

👐 GPT-6 ASTRA УЖЕ В БОТЕ OpenAI обещали «поколенческий скачок» — и, похоже, не приукрасили. Проверить громкие заявления можно самостоятельно у нас в @GPT4Telegrambot. ➡️ Коротко, что нового: ✅ Первая модель, дошедшая до уровня «Critical» по кибербезопасности в OpenAI — поэтому и катят её осторожно, по этапам. ✅ Код и логика: Настоящий прорыв. На математическом тесте FrontierMath Tier 4 эта модель выбивает 98%. Про

26❤‍🔥11🔥7

4 Sept 2026, 15:34 UTC≈22,400 views195 reactionsread 9 September 2026
Photo

🍄 НЕЙРОСЕТИ УБЬЮТ ВАС, ИЛИ ПОЧЕМУ ИИ — ХУДШИЙ НАПАРНИК ДЛЯ СБОРА ГРИБОВ Польский программист решил проверить, можно ли доверять нейросетям сбор грибов. Спойлер: если вам дорога печень, лучше не стоит. Он прогнал тысячу фотографий грибов через 16 топовых ИИ-моделей. Результаты оказались катастрофическими. Даже лидер теста угадывал вид с первой попытки только в 65% случаев. А некоторые аутсайдеры вообще выдавали прав

👍82🤔59🤨3715🕊1😁1

4 Sept 2026, 09:40 UTC≈24,600 views103 reactionsread 9 September 2026
Photo

🍁 ФОТОСЕССИЯ В ЛИСТЬЯХ Осень — идеальное время для эстетичных кадров и тёплых оттенков. Давайте сделаем тот самый атмосферный портрет, который точно соберёт все лайки. 😍 КАК СДЕЛАТЬ: 1️⃣ Зайдите в @GPT4Telegrambot 2️⃣ В меню выберите «Создать картинку» → Nano Banana 2 3️⃣ Прикрепите вашу фотографию и отправьте этот промпт: Используй загруженную фотографию исключительно как референс внешности человека. Сохрани его

47😭30😍17👍6❤‍🔥2🔥1

Showing the 12 most recent of 75 posts we hold for @GPT4TChannel. 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.

Posts edited after publishing

@GPT4TChannel edited 1 post 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
25 August 2026
Most recent edit
25 August 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

Named by 8 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.

Domains linked from posts

4 domains this channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.

lenta.ru1 post · 4 August 2026 – 4 August 2026 · example post
restofworld.org1 post · 3 August 2026 – 3 August 2026 · example post
www.videogameschronicle.comregistrable domain: videogameschronicle.com1 post · 6 August 2026 – 6 August 2026 · example post
www.yahoo.comregistrable domain: yahoo.com1 post · 5 August 2026 – 5 August 2026 · example post

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 8 September 2026 — this entry's latest reading, not the date you are reading this.

“ИИ-бот №1 | GPT4Telegrambot” (@GPT4TChannel), 946,795 subscribers as measured 8 September 2026. Telegram Register, tgregister.com/channel/GPT4TChannel.

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.