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Нужна консультация, пиши @fominlive
Created
Between 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
9 measurements spanning 21 days, net +173. 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 8,984–9,220 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
28 Aug 2026, 09:03
9,193
+49
25 Aug 2026, 01:03
9,144
+74
21 Aug 2026, 04:53
9,070
+59
18 Aug 2026, 00:52
9,011
-16
14 Aug 2026, 14:19
9,027
+2
11 Aug 2026, 12:42
9,025
-2
8 Aug 2026, 15:26
9,027
+7
7 Aug 2026, 17:01
9,020
no change
7 Aug 2026, 16:59
9,020
first reading
Engagement
64 posts held, back to 4 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 30 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
7.70%
avg views ÷ 9,193 subscribers
Avg views / post
708
64 posts measured
Reaction rate
0.687%
reactions ÷ views · ER floor
Posts in window
64
of 64 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 57 of 64 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 28 August 2026
Posts held
64 (4 August 2026 – 28 August 2026)
Views total
45,327
Reactions total
274
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Aug 2026, 15:12 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
≈1,250
Videos
≈1,610
Links
≈1,300
Lifetime counters from Telegram’s own channel header, read 28 August 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
41m 51s
Average length
55s
Measured directly from 46 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
274 reactions across 55 posts, in 11 distinct kinds. The most used accounts for 43.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
118
43.1%
🔥
67
24.5%
👍
55
20.1%
😁
18
6.57%
👀
4
1.46%
👌
4
1.46%
👎
2
0.73%
💯
2
0.73%
😍
2
0.73%
🎉
1
0.365%
🤔
1
0.365%
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 57 of the 64 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 274reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 64 most recent posts we hold, published 4 August 2026 to 28 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.
🔥 Контентщики, ловите находку для работы с видео!
Нашли удобный сервис на базе FFmpeg — прямо в браузере можно делать 20+ операций с видео без сложных программ и настроек.
Что умеет:
• менять размер и формат ролика;
• сжимать видео;
• убирать звук;
• обрезать и склеивать видео;
• удалять вотермарки;
• и ещё куча полезных операций.
Самое приятное — без ограничений, а интерфейс настолько простой, что разберётся даже…
🎬 Своя AI-студия для видео прямо на компьютере
Нашёл интересный open-source проект WanGP — по сути, домашняя AI-студия, которая запускается локально и собирает огромное количество моделей в одном интерфейсе.
Что умеет:
🎥 Text-to-Video и Image-to-Video
🧠 Wan 2.1/2.2, LTX-2, Hunyuan Video и другие модели
🖼️ Flux, Qwen Image, Z-Image и другие генераторы изображений
🎭 Редактор масок, удаление фона, Pose / Depth / Flow…
🎵 7 нейросетей, которые создают музыку за вас
Если вам нужна музыка для Reels, YouTube, рекламы, подкаста или просто хочется поэкспериментировать — держите подборку 👇
1️⃣ SOUNDRAW
Генерирует инструментальную музыку под нужный жанр, настроение и формат.
👉 SOUNDRAW
2️⃣ SUNO
Пишете идею или текст — получаете полноценную песню с вокалом и аранжировкой.
👉 SUNO
3️⃣ UDIO
Создание песен, ремиксов и продолжение уже со…
⚡️ Китайцы выкатили нового «убийцу» топов - GLM-5.3 Flash!
Помните недавнюю шумиху вокруг анонимной сетки Ox Alpha, которая рвала бенчмарки? Карты раскрыты: это она.
Модель выдает уровень Fable 5, но отвечает моментально и жрет в 3 раза меньше токенов. По сути, мы получили свежий DeepSeek-момент в мире LLM - мощно, молниеносно и без лишней духоты.
Тестим бесплатно прямо в браузере: https://chat.z.ai/ 🚀
⚡️ ChatGPT выкатил генерацию стикеров с прозрачным фоном
Нейронки не перестают развиваться, и сегодня у нас годный микро-апдейт от OpenAI. В ChatGPT (в разделе Images) появился отдельный тул — Stickers.
В чем суть: грузишь референс (любое фото), даешь контекст или шутку промптом, и модель выдает тебе готовый стикер в PNG с прозрачным фоном. Самое важное техническое нововведение здесь в том, что ChatGPT наконец-то н…
🎵 ElevenLabs выпустил Music Composer - и это очень интересно!
Главная фишка - теперь не нужно перегенерировать весь трек, если вам не понравился один кусок.
В ElevenMusic / Music v2 можно работать с песней по секциям:
🪼 отдельно переделать куплет или припев
🪼 изменить текст конкретной части
🪼 добавить новое аутро или продублировать припев
🪼 менять структуру трека
🪼 делать несколько вариантов одной секции
🪼 при лок…
Alibaba выкатила Wan 3.0 на все платформы. Почему это меняет правила игры? 🤯
Если вы думали, что гонка нейровидео немного затихла, то Alibaba только что перевернула стол. Состоялся масштабный релиз Wan 3.0, и модель одновременно залетела на все платформы
.
Я уже плотно погонял тесты и спешу поделиться впечатлениями.
Самые жирные фичи:
🪼30 секунд за один заход: Больше никаких мучений с бесконечными склейками по 10 …
🤯 8 нейросетей для создания изображений — и почти все можно попробовать бесплатно
Собрал в одном месте нейросети, которыми можно пользоваться без обязательной подписки.
1️⃣ ChatGPT Image
Один из самых удобных вариантов: генерирует картинки прямо в чате, понимает сложные промпты и умеет редактировать готовые изображения.
🎁 Бесплатно: но есть лимит до 15 в день.
👉 https://chatgpt.com/
2️⃣ Gemini + Nano Banana
Оч…
Если вы работаете с AI-агентами — вот штука, которую я бы точно сохранил 👀
Нашёл Monid — по сути, это один «кошелёк» для AI-агента, через который он получает доступ сразу к 1300+ инструментам и API.
И самое интересное — не нужно отдельно подключать десятки сервисов и разбираться с кучей API-ключей.
Агент сам может найти нужный инструмент, сравнить варианты по цене и запустить его. Платишь только за фактическое исп…
Конец эпохи привязанности к креслу: Google прокачали Antigravity
Тут завезли апдейт, который оценят все, кто запускает долгие и тяжелые задачи. В Antigravity добавили полноценный удаленный доступ через браузер.
Схема теперь такая:
🪼На рабочем железе крутится тяжелый ИИ-агент со всеми локальными файлами, средой и инструментами.
🪼Ты закрываешь крышку, берешь телефон и идешь по своим делам.
🪼Управляешь процессом, п…
Seedream 5.0 Pro — похоже, у генерации изображений появился новый уровень 👀
Китайские разработчики показали новую модель Seedream 5.0 Pro — и самое интересное здесь не только генерация картинок с нуля.
Модель умеет работать с изображением буквально «по слоям»:
🪼 объединять несколько фото в одну композицию;
🪼 менять стиль отдельных объектов;
🪼 точечно редактировать нужные области;
🪼 менять изображение обычным текст…
Ловите огромную библиотеку промтов для GPT Image ✋
GitHub — Awesome GPT Image 2
Там собраны готовые промты под кучу разных задач. Но самое интересное — библиотеку можно подключить как Skill в Claude Code, Codex или Cursor.
А если не хочется заморачиваться, то есть веб-версия, где можно просто найти нужный промт и скопировать его 👇
GPT Image 2 Style Library
Но я бы рекомендовал именно вариант со Skill.
Например,…
👍6
Showing the 12 most recent of 64 posts we hold for @TehnoAI. 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.
Posts edited after publishing
@TehnoAI edited 6 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
9 August 2026
Most recent edit
25 August 2026
Citation-graph rank
Citation-graph rank — 321,046 of 1,626,884entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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 1 registered channel — 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.
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 28 August 2026 — this
entry's latest reading, not the date you are reading this.
“Антон Фомин | про ИИ AI” (@TehnoAI), 9,193 subscribers as measured 28 August 2026. Telegram Register, tgregister.com/channel/TehnoAI.
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.