Официальный 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
Created
Between 1 March 2025 and 31 July 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
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 the other topics.
Growth
66 measurements spanning 96 days, net +116,436. 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 925,090–1,079,539 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 66
Measured (UTC)
Subscribers
Change
10 Nov 2026, 10:50
1,060,056
+288
8 Nov 2026, 19:48
1,059,768
-245
7 Nov 2026, 11:16
1,060,013
-456
6 Nov 2026, 08:15
1,060,469
-643
5 Nov 2026, 08:11
1,061,112
-606
4 Nov 2026, 09:17
1,061,718
+1,540
3 Nov 2026, 08:59
1,060,178
+2,841
2 Nov 2026, 11:28
1,057,337
+3,749
1 Nov 2026, 13:58
1,053,588
+2,838
31 Oct 2026, 17:21
1,050,750
+3,489
30 Oct 2026, 16:04
1,047,261
+4,446
29 Oct 2026, 15:09
1,042,815
+5,558
28 Oct 2026, 13:04
1,037,257
+4,568
27 Oct 2026, 16:16
1,032,689
+5,251
26 Oct 2026, 18:29
1,027,438
+5,327
25 Oct 2026, 21:40
1,022,111
+4,969
24 Oct 2026, 19:16
1,017,142
+4,801
23 Oct 2026, 16:49
1,012,341
+7,231
22 Oct 2026, 13:39
1,005,110
+10,277
21 Oct 2026, 07:18
994,833
first reading
Engagement
204 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 201 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
3.20%
avg views ÷ 1,060,056 subscribers
Avg views / post
33,900
62 posts measured
Reaction rate
0.294%
reactions ÷ views · ER floor
Posts in window
62
of 204 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
Window
Rolling 30 days · latest post in window 11 November 2026
Posts held
204 (3 August 2026 – 11 November 2026)
Views total
2,102,890
Reactions total
6,177
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 10:02 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
≈2,300
Videos
≈483
Links
≈879
Lifetime counters from Telegram’s own channel header, read 11 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
21m 34s
Average length
32s
Measured directly from 40 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.
Computed from 29 of this channel’s own posts over the last 30 days: across 26 of this channel’s own posts with a clear reading, a typical one reaches half of its last-observed view count within 7.9 hours of being posted; a typical post has already reached 29.4% of its 24-hour view count within the first hour, and 63.1% within the first six; the median 24-hour reach across those posts is 24,400 views — 2.30% of this channel’s own subscriber count (90th percentile 28,620).
8 most recently posted, with a view-velocity reading
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
18,283 reactions across 202 posts, in 54 distinct kinds. The most used accounts for 30.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
5,528
30.2%
🔥
2,775
15.2%
👍
2,108
11.5%
🤣
2,045
11.2%
🌚
1,122
6.14%
🤨
963
5.27%
👀
896
4.90%
🤔
754
4.12%
😱
355
1.94%
❤🔥
215
1.18%
😭
211
1.15%
😍
188
1.03%
😎
165
0.902%
😁
143
0.782%
💘
133
0.727%
🥰
116
0.634%
💔
65
0.356%
🙈
47
0.257%
🍓
44
0.241%
💋
44
0.241%
34 further kinds
366
2.00%
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 204 of the 204 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 18,568 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 204 most recent posts we hold, published 3 August 2026 to 11 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.
Telegram Stars
Stars received
233
across the posts below
Posts paid on
45
of 204 we hold a reading for · 22%
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 204 most recent posts we hold for this entry, published 3 August 2026 to 11 November 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
Telegram’s own ‘edited’ marker: 6 of 62 posts held from the last 30 days (9.68%) 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).
✔️✔️✔️✔️НОВЫЕ ТРЕНДЫ УЖЕ В ПРИЛОЖЕНИИ!
Вы вообще видели, сколько новых трендов появилось за последнюю неделю? Кажется, интернет решил устроить соревнование по скорости их выпуска. Только успеваешь сохранить один ролик, а в рекомендациях уже десяток новых!
Мы постарались собрать для вас всё самое интересное и уже добавили свежие тренды в наше приложение. Теперь не нужно часами искать промпты и разбираться, как повто…
🎮 ГЕЙМДЕВ, ПРИЕХАЛИ: НЕЙРОСЕТЬ СДЕЛАЛА 3D-ШУТЕР С НУЛЯ ЗА 8 ЧАСОВ
Anthropic выкатили свою новую флагманскую модель Fable 5.2 и решили сразу зайти с козырей. Чтобы показать, на что способна их железяка, они заставили её написать полноценный шутер от первого лица. Без студий, без продюсеров, просто с одного промпта.
За 8 часов нейросеть сама нагенерила вообще всё: код, 3D-модели, текстуры и даже звуки. Обошлось это у…
🧸 ТЕПЛЕЕ НЕКУДА
Когда за окном сплошная серость, самое время добавить в галерею немного тепла. Очень милый тренд, который превращает ваши любимые фотографии в красивые аппликации
📝️️️️️️ КАК ПОВТОРИТЬ:
1️⃣ Зайдите в @GPT4Telegrambot
2️⃣ В меню выберите «Создать картинку» → GPT Image 2.6
3️⃣ Прикрепите вашу фотографию и отправьте этот промпт:
Преобразуй загруженную фотографию в минималистичную аппликацию из фетра …
🔴 CLAUDE FABLE 5.2 УЖЕ В БОТЕ.
В Anthropic решили проверить, на что способен ИИ, если дать ему по-настоящему безумную задачу. Fable 5.2 поручили создать операционную систему с нуля. Модель организовала работу более тысячи ИИ-агентов и за восемь дней собрала систему, которая действительно запускается на ноутбуке. Неплохо для задачи из разряда «ну попробуй, вдруг получится».
И теперь Claude Fable 5.2 доступна в @GPT4…
🐶 КИБЕРПАНК, КОТОРЫЙ МЫ ЗАСЛУЖИЛИ: ЛЮДИ РАБОТАЮТ НЯНЬКАМИ ДЛЯ РОБОСОБАК
Мы искренне верили, что роботы избавят нас от рутины, но реальность оказалась куда смешнее. Стартап Dimensional из Сан-Франциско открыл потрясающую вакансию: они платят людям по 20 долларов в час за выгул железных собак на улицах города.
Звучит как подработка мечты, если бы не один нюанс. Эти китайские роботы за пару тысяч долларов регулярно пе…
😱 РАЗДАЕМ 100 ВИДЕОГЕНЕРАЦИЙ ЗА ТРЕНД «СЛЁЗЫ»!
Наверняка вы уже видели нашумевший тренд под песню «Слёзы». Самое время перестать пересматривать чужие ролики и снять свой! Тем более что теперь за это можно получить 100 бесплатных видеогенераций.
🔥 Запускаем быстрый конкурс! Повторяйте тренд, собирайте просмотры и забирайте награду
1️⃣ Создайте свою версию видеотренда «Слёзы»
2️⃣ Опубликуйте ролик и пригласите наш а…
💅 ВЗГЛЯД НА МИЛЛИОН
Кажется, мы нашли идеальное выражение лица на случай важных переговоров. Превращаем обычное селфи в гротескную фэшн-куклу из глянцевого винила.
🔥 КАК ПОВТОРИТЬ:
🔢 Откройте этот тренд в нашем приложении
🔢 Загрузите свою фотографию
🔢 Нажмите «Сгенерировать»
Делитесь своими кукольными шедеврами в комментариях 👇
❤️ — Срочно ставлю себе на аватарку
👀 — Уже знаю, чьё фото закину туда первым
🤣 — Ког…
🤩 ДАЙДЖЕСТ НЕДЕЛИ: РЕЛИЗ WAN 3.0, КИБЕР-ТАРОЛОГИ И ПРОВАЛ ТЕСТА ТЬЮРИНГА
Собрали главные события уходящей недели: от мощных видео на русском в Wan 3.0 и гифок по одному промпту до нейросетей, которые отбирают хлеб у эзотериков и не могут отличить других ботов от живых людей. А во второй части — коты в пенной ванне и свежие тренды для ваших фото и видео.
🤩 САМЫЕ ГРОМКИЕ НОВОСТИ И ГАЙДЫ:
🤩 КИНО ОДНИМ ДУБЛЕМ И НА РУС…
🖤 ВНЕ ФОКУСА
Раньше смазанный кадр сразу летел в корзину, а теперь это — любимый приём модных журналов и звёздных фотографов.
🔥 КАК ПОВТОРИТЬ:
💕 Откройте этот тренд в нашем приложении
💕 Загрузите фотографию
💕 Нажмите «Сгенерировать»
Делитесь своими арт-портретами в комментариях 👇
🔥 — Готовая обложка для моего сольного альбома
❤️ — Обожаю такую дерзкую фэшн-эстетику
🤣 — Наконец-то смазанные фото официально в трен…
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Скайнет добрался до святого. В сети массово плодятся приложения с ИИ-экстрасенсами, которые на полном серьезе сканируют вашу карму через экран. За пару десятков долларов чат-бот с лицом, сгенерированным в Midjourney, охотно расскажет, что у вас «розовая аура», а в прошлой жизни вы собирали целебные травы.
Живые тарологи, астрологи и эзотерики в настоящем …
🤩 САМЫЙ ГОРЯЧИЙ ТРЕНД СЕЗОНА
Обычно поездка в лифте — это полминуты неловкого молчания и попыток сделать вид, что в телефоне происходит что-то невероятно интересное. Но что, если между двумя незнакомцами вдруг проскочит искра?
🤩🤩🤩 Кажется, у нас получилась сцена, которую захочется пересматривать снова и снова. Повторяем вирусный тренд с неожиданным поворотом, страстным поцелуем и той самой химией между героями, от …
🤩 ПЯТЬ НЕЙРОСЕТЕЙ: КТО ОБЪЯСНИТ ПО-ЧЕЛОВЕЧЕСКИ?
Просишь нейросеть объяснить сложную тему простыми словами, а потом приходится разбираться ещё и в её ответе. Решили проверить, кто действительно помогает: дали GigaChat, ChatGPT, Gemini, Алисе AI и Claude две практические задачи.
➡️ Задачи вполне жизненные: спланировать поездку и объяснить сложную тему. Смотрели, кто учитывает условия, понятно отвечает и даёт информац…
❤33🤣22🔥10❤🔥3👍2
Showing the 12 most recent of 204 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 2 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
25 August 2026
Most recent edit
3 November 2026
Posts recorded as deleted after publishing
We recorded 5 posts on @GPT4TChannel as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
14 September 2026
Most recent seen missing
28 October 2026
Median time before seen missing
2 days
Seen missing in the last 30 days
1
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 14 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.
Handles this channel named that no longer answer
Dead references
3
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
3
vacant every time we have ever looked
@GPT4TChannel named 3 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@gpt4tchanne named in 3 posts, 12 October 2026 – 14 October 2026
@russian_girl_08 named in 2 posts, 23 October 2026 – 24 October 2026
@image3 named in 1 post, 1 October 2026 – 1 October 2026
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.
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.
“ИИ-бот №1 | GPT4Telegrambot” (@GPT4TChannel), 1,060,056 subscribers as measured 10 November 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.