Channel
@ii_community
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry
15,313subscribers
-33 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001758351615 |
|---|---|
| Type | Channel |
| Username | @ii_community |
| Description | Полное погружение в мир ИИ Ссылка: @Portal_v_IT Сотрудничество, авторский права: @oleginc, @tatiana_inc Канал на бирже: telega.in/c/ii_community РКН: clck.ru/3JdW2c |
| Created | Between 1 December 2021 and 28 February 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 7 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/ii_community |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 19:55 | 15,313 | -2 |
| 11 Aug 2026, 22:11 | 15,315 | -4 |
| 10 Aug 2026, 21:11 | 15,319 | -7 |
| 9 Aug 2026, 18:11 | 15,326 | -8 |
| 8 Aug 2026, 20:31 | 15,334 | -4 |
| 7 Aug 2026, 19:26 | 15,338 | -8 |
| 6 Aug 2026, 19:31 | 15,346 | first reading |
37 posts held, back to 1 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 21 pagesof Telegram’s post history, 20 posts per page.
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 12 of 37 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 37 (1 August 2026 – 12 August 2026) |
| Views total | 20,110 |
| Reactions total | 19 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 13 Aug 2026, 02:38 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.
Lifetime counters from Telegram’s own channel header, read 13 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.
Measured directly from 20 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.
19 reactions across 10 posts, in 3 distinct kinds. The most used accounts for 89.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 17 | 89.5% | |
| ❤ | 1 | 5.26% | |
| 🔥 | 1 | 5.26% |
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 12 of the 37 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 19reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 37 most recent posts we hold, published 1 August 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.
Dubbing 2 — инструмент для перевода видосов на любой язык, включая русский. Теперь ИИ лучше сохраняет оригинальные эмоции, тембр и даже голос — при этом разрабы щедро навалили бесплатных минут всем подписчикам для тестов. 📁 Попробовать ИИ & Max // #ИИ #Сервис
NVIDIA тихо, не спеша, представили метод, который помогает генерировать изображения лучшего качества или апскейлировать ваши фотографии 😮 Краткая историческая справка: обычные генераторы изображений создают черновую версия будущего изображения (латент), после чего специальный VAE-декодер пытается восстановить из шакального латента обычную картинку по текстовому промту. Nvidia перепридумали этот метод: вместо VAE пр…
Победитель хакатона от Anthropic составил огромный список из тулз, команд и скиллов для ИИ-агентов, которые помогли ему победить — называется Everything Claude Code. Внутри 10 месяцев работы и там есть буквально всё: —183 скилла (для продакшена, миграции баз данных и другие); — 48 саб-агентов (под любые роли в разработке); — 69 готовых слэш-команд; — Набор главных правил для разработки на 12 языках; — Специальный и…
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Everything Claude Code — огромный список из тулз, команд и скиллов для ИИ-агентов. Внутри 10 месяцев работы и там есть буквально всё: —183 скилла (для продакшена, миграции баз данных и другие); — 48 саб-агентов (под любые роли в разработке); — 69 готовых слэш-команд; — Набор главных правил для разработки на 12 языках; — Специальный инструмент AgentShield, который проверяет код на уязвимости и промпт инъекции; — И м…
Ideogram 4 — модель для ИИ-фотошопа в открытом доступе для всех. Это лучшая открытая модель среди всех — идеально работает с текстом и прекрасно фотошопит картинки. Ideogram 4 уступает только закрытым Nano Banana и GPT-i-2. 📁 Попробовать ИИ & Max // #ИИ #Сервис
👩💻 Всем программистам посвящается! Вот 14 авторских обучающих IT каналов по самым востребованным областям программирования: Выбирай своё направление: 👩💻 Python — t.me/python_ready 🤔 InfoSec & Хакинг — t.me/hacking_ready 🖥 SQL & Базы Данных — t.me/sql_ready 👩💻 IT Новости — t.me/it_ready 🤖 AI & ML — t.me/neuro_ready 👩💻 Frontend — t.me/frontend_ready 👩💻 C/C++ — https://t.me/cpp_ready 👩💻 C# & Unity — t.…
Kimi Work — мощный локальный ИИ-агент для ПК. Это полноценная автономная «операционка» от гениев из Moonshot AI, которая избавляет от кучи рутины и шуршит на компе в режиме 24/7. — Сам ходит по сайтам: ищет инфу, кликает и скроллит в браузере за вас. — Чистит завалы на диске: находит нужные документы и делает из них короткую выжимку. — Работает по расписанию: ночью перелопатит тонны данных, а утром выдаст отчет к к…
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Claude Fable 5 — младшая версия нашумевшой модели Mythos, которая в последние месяцы взломала половину интернета. Бенчмарки просто БЕЗУМНЫЕ — нейронка на две головы обходит GPT-5.5 в написании кода и выполнении задач. 📁 Попробовать ИИ & Max // #ИИ #Сервис
StableDAW — ИИ-студия для генерации музыки прямо на вашем ПК. Главная фича сервиса: он позволяет редактировать нейро-треки через полноценный музыкальный редактор, почти как в FL Studio. Из плюсов: — Генерация музыки без платных подписок; — Создаёт песни из текстовых промтов или вашего голоса — можно просто напеть мотив; — Весь набор инструментов диджея; — Можно создавать свои MIDI; — Возможность дорабатывать резуль…
🔥1
GenAICAD — генератор CAD-моделей по чертежам, причем качественный! Генератор создает как модель, так и параметрический CAD-код. На сложные и детализированные генерации не рассчитывайте, но разные маленькие винтики генерирует прекрасно. 📁 Попробовать ИИ & Max // #ИИ #Сервис
Showing the 12 most recent of 37 posts we hold for @ii_community. 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.
@ii_community 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.
Citation-graph rank — 355,077 of 1,169,250entries 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.
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.
Named by 7 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.
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.
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.
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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“ИИ” (@ii_community), 15,313 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/ii_community.
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.