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Channel

Наташа Нагорнова | Нейросети и маркетинг

@n_nagornova

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

10,103subscribers

+270 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-1002003705352
TypeChannel
Username@n_nagornova
DescriptionНетипичный маркетинг и PR с помощью ИИ. РКН: № 8340559180 Клуб: https://nn-ai.ru/neformat Экшн-курс: https://nn-ai.ru/kurs Рекламу не размещаю! С продюсерами не сотрудничаю. По другим вопросам: @natalynagornova
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live7 November 2026
Measurements held33
Confirmed unchanged1 time, most recently 7 November 2026
On Telegramt.me/n_nagornova

Topic

Education — 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 20 August 2026 and assigned it the closest of 31 fixed categories, at 73% 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

9,79110,1039,9476 August 2026 — 9,833 subscribers6 August 2026 — 9,833 subscribers9 August 2026 — 9,820 subscribers12 August 2026 — 9,813 subscribers16 August 2026 — 9,806 subscribers20 August 2026 — 9,800 subscribers26 August 2026 — 9,799 subscribers29 August 2026 — 9,792 subscribers31 August 2026 — 9,794 subscribers4 September 2026 — 9,791 subscribers9 September 2026 — 9,800 subscribers13 September 2026 — 9,958 subscribers17 September 2026 — 9,950 subscribers26 September 2026 — 9,965 subscribers5 October 2026 — 9,953 subscribers10 October 2026 — 9,961 subscribers14 October 2026 — 9,954 subscribers17 October 2026 — 9,955 subscribers19 October 2026 — 9,957 subscribers23 October 2026 — 10,049 subscribers24 October 2026 — 10,059 subscribers25 October 2026 — 10,060 subscribers26 October 2026 — 10,059 subscribers27 October 2026 — 10,085 subscribers28 October 2026 — 10,080 subscribers31 October 2026 — 10,084 subscribers1 November 2026 — 10,083 subscribers2 November 2026 — 10,084 subscribers3 November 2026 — 10,086 subscribers4 November 2026 — 10,083 subscribers5 November 2026 — 10,076 subscribers6 November 2026 — 10,094 subscribers7 November 2026 — 10,103 subscribers6 August 20267 November 2026
33 measurements spanning 94 days, net +270. 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 9,744–10,150 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
7 Nov 2026, 13:5010,103+9
6 Nov 2026, 11:1410,094+18
5 Nov 2026, 11:1510,076-7
4 Nov 2026, 09:4910,083-3
3 Nov 2026, 12:2010,086+2
2 Nov 2026, 09:2910,084+1
1 Nov 2026, 10:3510,083-1
31 Oct 2026, 10:4510,084+4
28 Oct 2026, 07:1710,080-5
27 Oct 2026, 09:4610,085+26
26 Oct 2026, 09:5910,059-1
25 Oct 2026, 07:1610,060+1
24 Oct 2026, 07:3610,059+10
23 Oct 2026, 07:0610,049+92
19 Oct 2026, 22:589,957+2
17 Oct 2026, 04:269,955+1
14 Oct 2026, 13:169,954-7
10 Oct 2026, 21:569,961+8
5 Oct 2026, 02:569,953-12
26 Sept 2026, 15:219,965first reading

Engagement

51 posts held, back to 10 July 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 46 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
10.4%
avg views ÷ 10,103 subscribers
Avg views / post
1,050
13 posts measured
Reaction rate
4.60%
reactions ÷ views · ER floor
Posts in window
14
of 51 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 6 November 2026
Posts held51 (10 July 2026 – 6 November 2026)
Views total13,703
Reactions total630
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Nov 2026, 22:01 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
≈1,200
Videos
≈77
Links
≈609

Lifetime counters from Telegram’s own channel header, read 7 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
19m 02s
Average length
9m 31s

Measured directly from 2 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

2,081 reactions across 47 posts, in 5 distinct kinds. The most used accounts for 47.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥98947.5%
❤64731.1%
👍37518.0%
😁622.98%
💯80.384%

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 49 of the 51 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 2,195 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 51 most recent posts we hold, published 10 July 2026 to 6 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
1
across the posts below
Posts paid on
1
of 49 we hold a reading for · 2%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @n_nagornova. 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 51 most recent posts we hold for this entry, published 10 July 2026 to 6 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: 4 of 14 posts held from the last 30 days (28.6%) 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).

6 Nov 2026, 05:34 UTC534 views51 reactionsread 7 November 2026
Photo

Тут дизайнерски-маркетинговый АНТИ-GPT промпт Без прелюдий: ниже промпт, создающий разные типы визуальных креативов и не блистать GPT-маркерами. Подставляйте свои данные или даже готовые тексты и получайте. Промпт: Тип изображения: (реклама / обложка / постер / иллюстрация / чек-лист / инфографика / карусель / инструкция / др.) Тема: Задача / ЦА: Формат: Точный текст / данные: Главный объект / сюжет: (вписать / пр…

❤25🔥17👍9

5 Nov 2026, 05:30 UTC686 views82 reactionsread 7 November 2026
Photo

20 самых попсовых маркеров GPT-картинок В моей копилочке уже больше 70 ядрёных маркеров ИИ-текста. Про 29 основных писала тут. Но кроме текстов, почерк ИИ виден и в изображениях. Обожаю как рисует ChatGPT, но если тупо написать «Нарисуй картинку (тема)»… получится писец (хотя на вкус и цвет). Я насобирала 20 самых ярких маркеров GPT-картинок – все они в картинке. И это, боюсь, только разминка. 1. Передоз текста. …

🔥56👍15❤11

3 Nov 2026, 05:56 UTC848 views28 reactionsread 7 November 2026
Photo

Вы никогда не догадаетесь, куда я первым делом смотрю на сайте эксперта... Первое (самое очевидное) – маркеры ИИ. Не только дизайна, но и текстов. Может, это уже профдеформация, но у меня в голове сразу вопрос: живой эксперт здесь прикладывал руку или попросил ChatGPT сделать «дорохо-бохато-экспертно»? Особенно выдаёт шрифт и рамочки:) Второе (менее очевидное) – отработка возражений и всех вариаций JTBD + ведут ли …

❤12🔥11👍5

2 Nov 2026, 05:32 UTC971 views38 reactionsread 7 November 2026
Photo

ТОП-10 постов за октябрь Традиционная подборка самых пересылабельных постов. Спасибо, что делитесь, но огонёчки под постами меня тоже очень радуют и мотивируют:) Фредерик, ты гений! Не люблю контент-планы, но этот... Аж 30 идей с инверсией ЦА + промптище 55 версий тебя: от колючей до мерзко-притягательной Забирайте «Оживителя зомби». Для Claude, ChatGPT и GrokBot Этот самородок утёр нос маркетологам! VIZIT, не…

🔥23❤10👍5

30 Oct 2026, 05:31 UTC≈1,190 views30 reactionsread 7 November 2026
Photo

Просили – сделала! Сайты для экспертов в ChatGPT / маркетологи в GrokBot / Дзен от идеи до автоматизации... Ловите программку закрытого комьюнити НЕ•ФОРМАТ на 4 ноября – 2 декабря. Я назвала этот месяц «Месяцем по вашим заявкам». Займёмся тремя темами по заявкам участников клуба: сайтом, GrokBot, Дзеном (с нуля) и профилем. 🥹 4 ноября, 13:00 МСК. Мастер-класс «Как сделать продающе-запоминающийся сайт-визитку для эк…

❤15🔥9👍6

29 Oct 2026, 05:30 UTC≈1,080 views51 reactionsread 7 November 2026
Photo

Это база маркетолога-2026: ChatGPT + GrokBot. У меня эти два отдела решают 53 задачи! Я тут пересчитала, сколько нейросетей нужно маркетологу в 2026 году. Их 2. Мой любимый ChatGPT за 20$ – он «мозг» и рабочая лошадка GrokBot за 30$ (15$ первый месяц) – он «руки». Вдумайтесь: содержание отдела маркетинга за 5000 рублей. И это для профессиональной работы + свои мозги:) Не надо плодить кучу бесполезных и сложных авт…

🔥30❤11👍10

28 Oct 2026, 05:39 UTC924 views89 reactionsread 7 November 2026
Photo

Забирайте «Оживителя зомби». Для Claude, ChatGPT и GrokBot Вчера на конференции обмолвилась, что сегодня состоится официальный релиз моего нового агента «Оживителя зомби». Вот он! Если вы смотрите на свой канал с прискорбием и начинаете лечить «покойничка» проверенными народными средствами: больше пользы, писать чаще, задавать вопрос в конце и заголовки с цифрами а-ля 5 способов / 3 метода, вы стреляете пушкой по …

🔥56❤22👍11

27 Oct 2026, 05:30 UTC≈1,010 views36 reactionsread 7 November 2026
Photo

«Как починить блог… после ИИ. Операция «Шредер, морг и дискотека» У моего Ваньки Текстопотрошителя 70 причин придраться к вашему тексту. А у читателя всего одна – скучно, ёпрст! Но этот пост на про Ванька. В нейросетевом контенте самая дурацкая часть – это то, что он вас убивает. Вы можете быть офигенно умным экспертом, обладать роскошным словарным запасом, иметь своё мнение и даже чувство юмора. Но стоит подключить…

🔥16❤10👍10

26 Oct 2026, 05:36 UTCviews —

Наташа Нагорнова | Нейросети и маркетинг pinned a photo

26 Oct 2026, 05:36 UTC≈1,160 views61 reactionsread 7 November 2026
Photo

Апгрейд отдела маркетинга 2.0. 10 цыплят-маркетологов В честь прошедшего Дня маркетолога и 10 000 подписчиков, мой жирный подарок ниже и обновлённый закреп:) Меня зовут Наташа Нагорнова, и уже 20 лет я кайфую от маркетинга и PR. Целевая аудитория – сердце любого продвижения. Поэтому вы в моём сердечке ❤️ У меня есть личное Министерство маркетинга и PR, в котором трудятся 159 ИИ-маркетологов-сммщиков-стратегов-пиар…

❤32🔥18👍11

23 Oct 2026, 05:36 UTC≈1,310 views37 reactionsread 7 November 2026
Photo

Почему я не люблю часто многих и всех иногда Потому что это слова-ИИ-паразиты (или признак низкосортного человеческого копирайтинга): • многие; • часто; • все; • иногда; • некоторые. Когда видите эти слова в своих нейросетевых текстах – удаляйте / заменяйте / конкретизируйте их без зазрения совести. Обобщения – это не про сильный текст. Кстати, кто новенькие, да и стареньким напомню: вот тут давала аж 29 маркеров И…

❤20🔥12👍4😁1

22 Oct 2026, 04:30 UTC≈1,350 views49 reactionsread 7 November 2026
Video

Этот самородок утёр нос маркетологам! Самое главное в конце поста. Сидит мужик подшофе, язык заплетается, и с совершенно неподражаемой интонацией рекламирует свой рыбный магазин. Аплодирую этому товарищу! Ещё один самородок (как тот директор «Белёвской пастилы»), который заслуживает отдельной главы в учебнике по маркетингу. А теперь посмотрите, сколько продающих приёмов этот рыбный Казанова умудрился впихнуть в оди…

❤27🔥11😁10👍1

Showing the 12 most recent of 51 posts we hold for @n_nagornova. 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

@n_nagornova 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
5 November 2026
Most recent edit
5 November 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 6 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.

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.

Анжела Петкова | ИИ на практике
@anjela_p · 78,909
Telegram ranks this channel #2 of 93 here — alongside 92 others — read 22 August 2026
НейроНатали | Обучение Нейросетям
@Neyronatali · 20,465
Telegram ranks this channel #3 of 93 here — alongside 92 others — read 30 September 2026
Ксения Баранова | PRO ИИ-технологии🔥
@xb_prosmm · 62,821
Telegram ranks this channel #7 of 92 here — alongside 91 others — read 22 August 2026
Nano Banana, GPT Images, Veo 3, Midjourney - Новости YES Ai
@yes_ai_official · 97,468
Telegram ranks this channel #8 of 83 here — alongside 82 others — read 22 August 2026
Промт дня (Приручаем ChatGPT, Midjourney и другие нейросети)
@ai2smm · 59,214
Telegram ranks this channel #8 of 95 here — alongside 94 others — read 22 August 2026
Промты для нейросетей
@iidlyabi · 22,292
Telegram ranks this channel #14 of 87 here — alongside 86 others — read 20 September 2026
Канал Игоря Зуевича
@zuevichigor · 39,741
Telegram ranks this channel #14 of 91 here — alongside 90 others — read 30 August 2026
Нейросетевые покои: нейросети, ChatGPT, Midjourney
@neural_houses · 44,144
Telegram ranks this channel #16 of 92 here — alongside 91 others — read 28 August 2026
SMM с Дамиром Халиловым
@damirkhalilov · 23,107
Telegram ranks this channel #17 of 91 here — alongside 90 others — read 18 September 2026
Будни Jeforel
@budni_illustratora · 27,223
Telegram ranks this channel #25 of 86 here — alongside 85 others — read 11 September 2026
НЕЙРОГРАМОТНОСТЬ
@edu4telegram · 77,625
Telegram ranks this channel #27 of 94 here — alongside 93 others — read 29 August 2026
Мир нейросетей - новости, обучение и заработок
@pro_ai_novosti · 50,031
Telegram ranks this channel #29 of 90 here — alongside 89 others — read 25 August 2026
Ринат Шакиров | Промпты для Midjourney | ChatGPT |
@dailyprompts · 42,516
Telegram ranks this channel #31 of 91 here — alongside 90 others — read 29 August 2026
Владимир Туров | Бизнес и рост
@turov · 49,144
Telegram ranks this channel #31 of 90 here — alongside 89 others — read 26 August 2026
ChatGPT, помоги!
@GPThelp_ru · 518,228
Telegram ranks this channel #34 of 91 here — alongside 90 others — read 10 August 2026
💎 Зерокодер | Нейросети и искусственный интеллект
@oqode · 39,433
Telegram ranks this channel #36 of 92 here — alongside 91 others — read 30 August 2026
SYNTX FAMILY
@syntxfamily · 323,611
Telegram ranks this channel #41 of 93 here — alongside 92 others — read 22 August 2026
НейроМаркетинг | Евгений Андрианов
@Andrianov_udalenka · 19,891
Telegram ranks this channel #42 of 78 here — alongside 77 others — read 28 September 2026
Беляк про нейросети
@belyakAi · 31,322
Telegram ranks this channel #50 of 91 here — alongside 90 others — read 7 September 2026
Сергей Нагорный | Маркетинг и Нейросети
@gora_academy · 19,899
Telegram ranks this channel #51 of 87 here — alongside 86 others — read 3 October 2026
ChatPlace
@chatplaceio · 55,639
Telegram ranks this channel #58 of 85 here — alongside 84 others — read 25 August 2026
НейроProfit | Соня Pro Ai
@NeuralProfit · 23,613
Telegram ranks this channel #60 of 96 here — alongside 95 others — read 18 September 2026
Промпты для нейросетей
@prompty · 29,975
Telegram ranks this channel #66 of 89 here — alongside 88 others — read 7 September 2026
Neural Brain - Нейросети
@neural_braining · 21,249
Telegram ranks this channel #67 of 90 here — alongside 89 others — read 23 September 2026

This channel appears in 32 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 7 November 2026 — this entry's latest reading, not the date you are reading this.

“Наташа Нагорнова | Нейросети и маркетинг” (@n_nagornova), 10,103 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/n_nagornova.

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.