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Channel

N2D2 AI - нейросети для контента

@n2d2ai

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Advertising · Posts · Posts edited after publishing · Citations · Cite this entry

24,604subscribers

-896 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002347018673
TypeChannel
Username@n2d2ai
DescriptionЗаказать ИИ-агента: n202.ru Для связи: @elena_novokhatskaia Новости об ИИ-агентах, нейросетях и вайбкодинге для бизнеса. Промпты и практический опыт. Автоматизации n8n, LangChain и OpenClaw.
CreatedBetween 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live24 October 2026
Measurements held48
Confirmed unchanged1 time, most recently 24 October 2026
On Telegramt.me/n2d2ai

Topic

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 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

24,60425,50025,0526 August 2026 — 25,500 subscribers7 August 2026 — 25,495 subscribers8 August 2026 — 25,488 subscribers9 August 2026 — 25,481 subscribers10 August 2026 — 25,474 subscribers11 August 2026 — 25,454 subscribers12 August 2026 — 25,393 subscribers13 August 2026 — 25,374 subscribers14 August 2026 — 25,360 subscribers16 August 2026 — 25,339 subscribers17 August 2026 — 25,325 subscribers18 August 2026 — 25,309 subscribers19 August 2026 — 25,303 subscribers20 August 2026 — 25,286 subscribers21 August 2026 — 25,269 subscribers23 August 2026 — 25,223 subscribers24 August 2026 — 25,208 subscribers25 August 2026 — 25,193 subscribers26 August 2026 — 25,183 subscribers27 August 2026 — 25,175 subscribers28 August 2026 — 25,162 subscribers29 August 2026 — 25,153 subscribers30 August 2026 — 25,126 subscribers31 August 2026 — 25,108 subscribers1 September 2026 — 25,098 subscribers2 September 2026 — 25,084 subscribers4 September 2026 — 25,048 subscribers7 September 2026 — 24,995 subscribers10 September 2026 — 24,975 subscribers12 September 2026 — 24,958 subscribers14 September 2026 — 24,946 subscribers15 September 2026 — 24,912 subscribers18 September 2026 — 24,911 subscribers29 September 2026 — 24,853 subscribers5 October 2026 — 24,797 subscribers9 October 2026 — 24,764 subscribers13 October 2026 — 24,734 subscribers14 October 2026 — 24,716 subscribers15 October 2026 — 24,719 subscribers16 October 2026 — 24,722 subscribers17 October 2026 — 24,716 subscribers18 October 2026 — 24,713 subscribers19 October 2026 — 24,711 subscribers20 October 2026 — 24,705 subscribers21 October 2026 — 24,703 subscribers23 October 2026 — 24,676 subscribers23 October 2026 — 24,615 subscribers24 October 2026 — 24,604 subscribers6 August 202624 October 2026
48 measurements spanning 79 days, net -896. 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 24,470–25,634 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 48
Measured (UTC)SubscribersChange
24 Oct 2026, 21:5024,604-11
23 Oct 2026, 21:1024,615-61
23 Oct 2026, 00:2924,676-27
21 Oct 2026, 19:5024,703-2
20 Oct 2026, 17:5724,705-6
19 Oct 2026, 17:5024,711-2
18 Oct 2026, 21:1524,713-3
17 Oct 2026, 21:3424,716-6
16 Oct 2026, 22:3624,722+3
15 Oct 2026, 21:0724,719+3
14 Oct 2026, 23:3724,716-18
13 Oct 2026, 15:2924,734-30
9 Oct 2026, 16:1724,764-33
5 Oct 2026, 11:1524,797-56
29 Sept 2026, 11:1424,853-58
18 Sept 2026, 01:1924,911-1
15 Sept 2026, 22:0224,912-34
14 Sept 2026, 02:1824,946-12
12 Sept 2026, 11:5824,958-17
10 Sept 2026, 06:2024,975first reading

Engagement

28 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 109 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
9.86%
avg views ÷ 24,604 subscribers
Avg views / post
2,430
3 posts measured
Reaction rate
1.09%
reactions ÷ views · ER floor
Posts in window
3
of 28 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 23 October 2026
Posts held28 (27 February 2026 – 23 October 2026)
Views total7,280
Reactions total79
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken24 Oct 2026, 22:27 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
88
Videos
112
Links
136

Lifetime counters from Telegram’s own channel header, read 24 October 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
12m 42s
Average length
42s

Measured directly from 18 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

1,444 reactions across 28 posts, in 9 distinct kinds. The most used accounts for 55.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥79555.1%
❤27018.7%
👍15510.7%
🤯704.85%
😢694.78%
🤝281.94%
👏251.73%
🎉191.32%
🍾130.9%

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 28 of the 28 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 1,444 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 28 most recent posts we hold, published 27 February 2026 to 23 October 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
8
across the posts below
Posts paid on
5
of 28 we hold a reading for · 18%
Most on one post
3
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @n2d2ai. 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 28 most recent posts we hold for this entry, published 27 February 2026 to 23 October 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.

Advertising

Ad load
3.57%
1 of 28 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
2,320
over 1 measured post
Median views · rest
12,100
over 27 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2Vtzqv8J5vV123 October 202623 October 2026

A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.

Measured over the 28 most recent posts we hold, published 27 February 2026 to 23 October 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

23 Oct 2026, 18:29 UTC≈1,990 views30 reactionsread 24 October 2026

Как создавать анимационные видео с Gemini 4 Argon🤖 Модель Argon отлично подходит для генерации видео кодом и монтажа. Подготовили для вас туториал, как получать максимально крутой результат за 2$ (уж очень много вопросов от вас): 1. Подписка Gemini приобретается на любом маркетплейсе (ищите, где отзывов больше 1,000) - по запросу в гугл легко найти. 2. Перейдите по ссылке для оформления подписки на ваш аккаунт Googl…

🔥16❤12🍾1🤯1

23 Oct 2026, 14:00 UTC≈2,320 views9 reactionsread 24 October 2026
Advertisementerid 2Vtzqv8J5vV

Самый дорогой способ проверить идею — полгода её разрабатывать. Сначала проверьте спрос. Так сделали эти ребята: — Юра выбрал нишу, которую все считают скучной, но там уже платят. Начал с $100 в месяц, через год вышел примерно на $10K. — Денис один собрал AI-игру в Telegram. За первые полтора месяца ~$1 500. — Аня не пишет код, но запустила AI-бота для английского. Первые ~$200 пришли в первый же месяц. Масштабы р…

👍3🔥3🤝2❤1

22 Oct 2026, 19:32 UTC≈2,970 views40 reactionsread 24 October 2026
Video

Контент-завод теперь по цене чашки кофе 🤩 Последнее время все много говорят о том, как круто создает и монтирует видео Claude Opus 5.5, но никто не говорит про практически бесплатную модель Google - Gemini 4 Argon (PRO подписка на 18 месяцев стоит 2$). Модель обошла в рейтинге Arena Fable 5 и тоже довольно хорошо собирает рилсы (примеры из поста - с 0 сделаны моделями gemini: от озвучки и звуков до монтажа и сценари…

❤27🔥9🎉3🤯1

4 Sept 2026, 13:45 UTC≈7,300 views34 reactionsread 24 October 2026
Video

OpenAI выпустили модель близкую к AGI GPT-6 Astra — новая флагманская модель, которая умеет не только отвечать на запросы, но и самостоятельно работать с компьютером. Модель может сама: — открывать сайты и разбираться в интерфейсах как человек — нажимать кнопки, заполнять поля и перемещаться по приложениям — работать с CRM — искать информацию и собирать результаты — работать с документами, таблицами и презентациями…

🔥19❤9🤯4👍2

3 Sept 2026, 14:10 UTC≈6,480 views37 reactionsread 24 October 2026
Video

Создавать классную музыку теперь можно без подписок Китайцы выпустили открытую модель MiniMax Music для генерации музыки, которая может работать локально даже на слабых устройствах. Это значит, ее можно разместить на своем облаке или ПК и дать к ней доступ вашему ИИ-агенту, по типу Claude Code, чтобы он создавал треки🤩 По качеству MiniMax Music находится на уровне с Suno (лидером рынка) и является лучшей опенсорсно…

👍25❤7🔥5

30 Aug 2026, 13:21 UTC≈7,010 views26 reactions1 Starread 24 October 2026
Photo

Как продвигать свои продукты с помощью ИИ-агента Нашли для вас открытую библиотеку скиллов для задач SEO, аналитики, копирайтинга, маркетинговой стратегии и многого другого 🤩 Для установки достаточно скинуть ссылку на понравившийся скилл своему агенту и сказать волшебное слово «установи себе это» Что внутри: — скилл для создания видео и анимаций с помощью AI и кода — генерация и масштабирование рекламных креативов …

🔥19👍4❤2🤝1

22 Aug 2026, 19:40 UTC≈8,220 views45 reactionsread 24 October 2026
Photo

Перенос памяти из одного ИИ в другой – за минуту Вы общаетесь с ChatGPT, пробуете Claude, завтра выходит Grok, послезавтра хочется проверить новую модель Gemini. И каждый раз одно и то же: новый чат-бот не помнит вас, ваши предпочтения и проекты, над которыми вы работаете🌧 Хорошая новость: у большинства современных чат-ботов есть глобальная память, в которую можно записать любую информацию. Плохая новость: в отличи…

👍30❤8🔥7

11 Aug 2026, 18:57 UTC≈10,100 views44 reactionsread 24 October 2026
Video

ИИ-агенты теперь умеют монтировать видео Для этого достаточно установить этот скилл, он подойдет ко всем популярным AI-агентам: от Hermes до Claude Code и Codex. С его помощью агент может взять обычное сырое видео и самостоятельно превратить его в готовый ролик: вырезать «эээ» и длинные паузы, убрать неудачные дубли, почистить и выровнять звук, добавить синхронные субтитры, музыку, визуальные эффекты и даже анимации…

🔥25❤6👍5🤯5👏2🎉1

2 Jul 2026, 12:48 UTC≈11,900 views47 reactions3 Starsread 24 October 2026
Video

Вышла нейросеть, которая изменила индустрию генерации картинок Разработчики Reve 2.0 доказали, что для крутых моделей не нужна куча GPU — достаточно смекалки. Они используют LLM в лице открытой Qwen: она придумывает композицию и расположение объектов, а уже потом подключается привычная диффузионная модель, которая рисует картинку🧐 Что умеет модель: - точный рендеринг текста на картинке - редактирование только выбра…

🔥32❤11🤯3🤝1

29 Jun 2026, 14:50 UTC≈10,900 views32 reactionsread 24 October 2026
Photo

Кого заменят нейросети по мнению Anthropic Не так давно Anthropic опубликовали в открытый доступ исследование о том, как люди используют ИИ, в каких профессиях и задачах больше, а в каких меньше. На основе своих данных они составили карту профессий, в которых наиболее вероятна замена человеческого труда на ИИ в ближашие 10 лет🧐 Профессии не исчезнут в один день, но будет происходить сжимание числа рабочих мест: было…

🔥21❤5🤯4🎉1🤝1

22 Jun 2026, 15:10 UTC≈11,200 views39 reactions1 Starread 24 October 2026
Video

ИИ-влоги стали популярнее обычных блогеров Как мы и писали ранее, с нейросетью Seedance 2.0 можно создавать полноценные влоги с разных ракурсов без потери консистентности, и те, кто этим воспользовался, уже получил миллионы просмотров, например, этот канал "Chloe VS History". Суть простая — ИИ-влоги по 15 минут из исторических эпох: древний Египет, ледниковый период и даже влог с Титаника🤠 Учитывая, что Claude можн…

🔥25❤6👏5🤯2🍾1

18 Jun 2026, 10:27 UTC≈11,300 views38 reactionsread 24 October 2026
Video

Теперь у каждого есть свое AI-креативное агентство В Claude Code добавили интеграцию с Higgsfield🤩 Посты, картинки, UGC и фильмы теперь создаются прямо в Claude. Или самосоздаются в автономном режиме 24/7 Но главное не это.. Теперь можно задать одну цель — например, создать бренд с нуля — и получить сразу всё: айдентику, модный 3D-сайт с картинками и видео в вашем стиле, промо-ролик, UGC от AI-блогеров и даже 3D-и…

🔥22🎉7👏5❤4

Showing the 12 most recent of 28 posts we hold for @n2d2ai. 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

@n2d2ai 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
31 August 2026
Most recent edit
31 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 4 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.

Names

Channels on the register whose handles appear in this channel's posts.

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 24 October 2026 — this entry's latest reading, not the date you are reading this.

“N2D2 AI - нейросети для контента” (@n2d2ai), 24,604 subscribers as measured 24 October 2026. Telegram Register, tgregister.com/channel/n2d2ai.

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.