Знаем все про нейросети. Следим за новостями, тестируем фишки и дружим с машинами — чтобы в будущем они вспомнили, кто был на их стороне 🤖⚡️
Наш бот с нейросетями: @mainconnect_bot
Created
Between 1 December 2021 and 30 April 2023 — 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-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 88% 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
34 measurements spanning 42 days, net -932. 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 28,819–30,031 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)
Subscribers
Change
18 Sept 2026, 21:39
28,959
-37
16 Sept 2026, 11:40
28,996
-31
14 Sept 2026, 15:20
29,027
-25
13 Sept 2026, 00:38
29,052
-43
11 Sept 2026, 00:18
29,095
-82
7 Sept 2026, 22:36
29,177
-45
5 Sept 2026, 00:58
29,222
-38
3 Sept 2026, 10:03
29,260
-24
2 Sept 2026, 03:07
29,284
-21
1 Sept 2026, 05:24
29,305
-20
31 Aug 2026, 03:55
29,325
-33
30 Aug 2026, 00:23
29,358
-31
28 Aug 2026, 23:03
29,389
-11
27 Aug 2026, 23:48
29,400
-28
27 Aug 2026, 01:43
29,428
-25
26 Aug 2026, 01:54
29,453
-22
25 Aug 2026, 04:11
29,475
-28
24 Aug 2026, 00:14
29,503
-30
22 Aug 2026, 11:29
29,533
-13
21 Aug 2026, 03:45
29,546
first reading
Engagement
23 posts held, back to 27 February 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 64 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
3.87%
avg views ÷ 28,959 subscribers
Avg views / post
1,120
1 post measured
Reaction rate
0.714%
reactions ÷ views · ER floor
Posts in window
1
of 23 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 10 September 2026
Posts held
23 (27 February 2026 – 10 September 2026)
Views total
1,120
Reactions total
8
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
20 Sept 2026, 07:34 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
499
Videos
123
Links
369
Lifetime counters from Telegram’s own channel header, read 20 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
2m 51s
Average length
21s
Measured directly from 8 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
600 reactions across 23 posts, in 19 distinct kinds. The most used accounts for 42.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
254
42.3%
❤
180
30.0%
👍
43
7.17%
🤯
28
4.67%
⚡
17
2.83%
🤔
13
2.17%
❤🔥
9
1.50%
👨💻
9
1.50%
😎
9
1.50%
😍
8
1.33%
💘
7
1.17%
😁
7
1.17%
🤩
6
1.00%
🐳
3
0.5%
👀
2
0.333%
👏
2
0.333%
🍓
1
0.167%
👌
1
0.167%
👎
1
0.167%
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 23 of the 23 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 600 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 23 most recent posts we hold, published 27 February 2026 to 10 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
2
across the posts below
Posts paid on
2
of 23 we hold a reading for · 9%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @main_connect. 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 23 most recent posts we hold for this entry, published 27 February 2026 to 10 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.
🔥 Все хайповые нейросети — уже в MainConnect!
GPT‑6 Astra • GPT Images 2.5 • Seedance 2.5
От безумной идеи до картинки и собственного мини-фильма. Творите то, что раньше казалось невозможным ✨
В прикреплённом примере:
• GPT‑6 Astra придумал сюжет
• GPT Images 2.5 нарисовал комикс
• Seedance 2.5 превратил его в видео.
И всё это — за 5 минут в MainConnect без специальных навыков!
🔥 Seedance 2.5 теперь дешевле на 40%
Самое время попробовать одну из самых мощных моделей для генерации динамичных видео.
🎬 Прикреплённый ролик полностью сделан в Seedance 2.5.
Попробовать можно уже сейчас в MainConnect.
🔥 Seedance 2.5 уже в MainConnect — ролики до 30 секунд!
Новое поколение Seedance позволяет создавать целые сцены и истории за одну генерацию, а не собирать их из коротких фрагментов.
🎬 Ролики до 30 секунд
🎥 Несколько сцен, планов и сложные движения камеры
🔊 Речь, музыка и звуковые эффекты сразу в видео
🖼 Работа с несколькими референсами
👥 Лучше сохраняет персонажей между сценами
🧠 Точнее следует сложным сценариям и…
🌙 AI-видео, от которого невозможно не улыбнуться
Милый пушистый зверёк в худи отправляет воздушный поцелуй с розовым сердечком прямо в камеру 💖
Такие cozy AI-видео сейчас залетают в Reels, TikTok и Shorts на миллионы просмотров — и теперь сделать своё можно за пару кликов в MainConnect
Никаких сложных промптов:
просто запускаешь готовый шаблон — AI сам создаёт атмосферу, анимацию и эффект сердечка ✨
💖 — мило
🔥 — …
🔥 Вирусные AI-видео без промптов
В MainConnect просто выбираешь готовый шаблон и запускаешь генерацию ⚡️
Никаких сложных настроек — всё уже готово для Reels, TikTok и Shorts 🎬
🔥 — хочу попробовать
⚡️ — нужен разбор
😍 — получилось очень круто
🔥 Новый AI-тренд: ты попал в прямой эфир на стадионе
Обычное фото превращается в кадр спортивной трансляции: будто тебя случайно показали по телевизору во время матча на огромном стадионе.
В MainConnect уже есть 2 готовых шаблона:
1. Фото “Попал в прямой эфир на стадионе”
Загружаешь своё фото — AI делает кадр, будто ты сидишь среди болельщиков и попал в трансляцию.
2. Видео “Попал в эфир на стадионе”
Берёшь созда…
🔥 Видео, которые раньше делали студии… теперь делает один промпт
После выхода Seedance 2 прошло время — и стало понятно: это не просто “ещё одна нейросеть”
— Стабильность персонажей
лицо, тело, стиль — не “плывут” от кадра к кадру
можно делать сюжет, а не набор случайных сцен
— Multi-shot сцены
один промпт → сразу несколько кадров с разными ракурсами
как будто у тебя внутри режиссёр и оператор
— Движение выглядит…
🔥 Визуальный AI-редактор от Nano Banana — только в MainConnect
Теперь можно редактировать не всю картинку целиком, а только нужную область.
Как это работает:
— выделяете участок изображения
— пишете, что изменить
— AI меняет только выбранную часть, не трогая остальное
Почему это важно?
Раньше нейросети часто затрагивали лишнее при редактировании.
Хотел поменять фон — изменилось лицо.
Хотел удалить одного человека …
🔥 Картинки больше не выглядят как AI
OpenAI выпустили модель — GPT-Image-2
Это уже не генерация, а почти дизайн-студия
Что изменилось 👇
— Нормальный текст в изображениях
заголовки, кнопки и подписи выглядят как в реальном дизайне
— Фотореализм
картинки сложно отличить от фото
— Понимает задачу
собирает сцену логично, а не рандомно
— Сложные макеты без боли
баннеры, UI, постеры — сразу ок
— Серии за один запрос…
🔥 Озвучка своим голосом
В MainConnect можно загрузить запись, и ИИ будет озвучивать текст твоим голосом.
Как это работает: записываешь свой голос до 5 минут, загружаешь и получаешь свой голос в генерации.
Важно: это не студийный клон, но интонация, подача и ощущение «это я» уже есть.
Где это полезно: озвучка видео, сторис и рилс, голос бренда или когда не хочется записывать каждый раз заново.
По сути ты один раз…
🤫 Самая недооценённая функция в Nano Banana 2
И зря.
Большинство делают так: “нарисуй кафе в Париже” или “сделай мост как в Лондоне”, а потом удивляются, почему это не похоже 😅
Факт: нейросеть не знает, как выглядит каждый дом, мост или конкретное кафе в мире. Она просто угадывает по описанию.
💡 Решение — поиск по изображениям. Ты даёшь ориентир → нейронка находит реальный объект в интернете → и использует его пр…
🎧 Кавер — это не просто “перепеть”
Это способ взять стиль одной песни и применить его к другой. Вот как это работает 👇
Любая песня = текст + стиль
Cтиль при генерации можно задать двумя способами:
1. Через описание (генерация песни)
Ты пишешь: “грустный поп с женским вокалом и пианино” → ИИ сам придумывает стиль по твоему описанию
2. Через реальную песню (создать кавер)
Ты загружаешь трек → ИИ берет его стиль и …
🔥18👨💻6⚡3❤1👎1
Showing the 12 most recent of 23 posts we hold for @main_connect. 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
SMM GPT - нейросеть для твоего контента @SMM_GPT · 10,227#1
НЕЙРОСЕТИ: Ai Nano Banana, Midjourney, Kling c нуля до Pro @photoshop_ai · 8,024#15
Нейросеть не просили :: Neuro Art @midjourney_i · 2,332#16
Все новости Creativo Pro – креативная среда для заработка на дизайне. Обучение. Стажировка. Заработок @Creativonews · 488 (as read 20 September 2026)#17
СНТ Транспортник Официальный сайт. @transnt · 1,122 (as read 20 September 2026)#64
Blum: All Crypto – One App @blumcrypto · 14,360,001#65
Read from Telegram’s recommendation API, most recently 20 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Промты для нейросетей @iidlyabi · 22,600 Telegram ranks this channel #41 of 87 here — alongside 86 others — read 20 September 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“MainConnect” (@main_connect), 28,959 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/main_connect.
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.