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Channel

Агафонов | Маркетинг - это просто

@agafonovlive

On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

4,045subscribers

-57 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001168465953
TypeChannel
Username@agafonovlive
Created3 February 2018measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live16 September 2026
Measurements held14
Confirmed unchanged1 time, most recently 16 September 2026
On Telegramt.me/agafonovlive

Topic

Education — 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 13 September 2026 and assigned it the closest of 31 fixed categories, at 81% 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

4,0374,1024,069.56 August 2026 — 4,102 subscribers6 August 2026 — 4,102 subscribers9 August 2026 — 4,099 subscribers12 August 2026 — 4,090 subscribers14 August 2026 — 4,082 subscribers18 August 2026 — 4,075 subscribers21 August 2026 — 4,077 subscribers24 August 2026 — 4,068 subscribers28 August 2026 — 4,063 subscribers30 August 2026 — 4,062 subscribers3 September 2026 — 4,057 subscribers8 September 2026 — 4,041 subscribers12 September 2026 — 4,037 subscribers16 September 2026 — 4,045 subscribers4,0456 August 202616 September 2026
14 measurements spanning 41 days, net -57. 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 4,027–4,112 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Sept 2026, 08:214,045+8
12 Sept 2026, 09:194,037-4
8 Sept 2026, 15:574,041-16
3 Sept 2026, 10:564,057-5
30 Aug 2026, 22:524,062-1
28 Aug 2026, 02:254,063-5
24 Aug 2026, 16:334,068-9
21 Aug 2026, 06:144,077+2
18 Aug 2026, 10:334,075-7
14 Aug 2026, 23:584,082-8
12 Aug 2026, 00:334,090-9
9 Aug 2026, 00:524,099-3
6 Aug 2026, 10:454,102no change
6 Aug 2026, 09:494,102first reading

Engagement

20 posts held, back to 24 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 5 pages of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 6 August 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

5 reactions across 4 posts, in 3 distinct kinds. The most used accounts for 60.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍360.0%
120.0%
😍120.0%

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 4 of the 20 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 5 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 24 July 2026 to 6 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.

Recent posts

4 Aug 2026, 13:21 UTC92 viewsread 8 August 2026

После вчерашнего мастер-класса понял одну вещь. 45 человек, живые задачи, реальные разборы. И главный вывод: мы слишком долго воспринимали нейросети как очередной инструмент. Но они начинают приносить результат только тогда, когда становятся частью системы. Именно поэтому люди часто говорят: «Пробовал. Не зашло.» Не потому что ИИ плохой. А потому что невозможно перестроить работу за один вечер. Нужно время, чтобы

3 Aug 2026, 16:05 UTC103 viewsread 8 August 2026

🔴 Мы уже начали. Сейчас показываю свою реальную систему работы с нейросетями — без слайдов и без теории. Разбираем реальные задачи участников и смотрим, как применять всё это в ежедневной работе. Если хотите присоединиться, ещё можно успеть. 👉 Регистрация: https://app-c82081.aircoding.ai/ После регистрации вы получите доступ в канал мастер-класса, где опубликована ссылка на эфир.

3 Aug 2026, 15:05 UTC97 viewsread 8 August 2026

Через час начинаем. Сегодня покажу свою реальную систему работы с нейросетями и разберу задачи участников в прямом эфире. Если ещё не зарегистрировались — успеваете. ❗️Регистрация обязательна: ссылка на эфир будет опубликована только в отдельном канале мастер-класса. 👉 https://app-c82081.aircoding.ai/

3 Aug 2026, 12:05 UTC100 viewsread 8 August 2026

Есть одна вещь, которую я раньше почти никогда не показывал публично. Не потому что скрывал. Просто считал, что никому это не интересно. Но именно она сильнее всего изменила мою работу за последний год. Сегодня вечером я просто открою экран. И покажу, как выглядит мой обычный рабочий день. Как появляются посты. Как анализируются переписки. Как рождаются новые продукты. Как нейросети помогают выполнять ежедне

3 Aug 2026, 11:04 UTC61 viewsread 8 August 2026
Forwarded from @mlmforum1Video message

Video message, posted without a caption

3 Aug 2026, 08:28 UTC86 viewsread 8 August 2026

Самая дорогая ошибка при работе с нейросетями Большинство людей используют нейросети как очень быстрый поисковик. Пишут: «Напиши пост.» Получают ответ. Переделывают. Снова переделывают. И делают вывод: «Нейросети пишут плохо.» На самом деле проблема в другом. Нейросети не понимают вашей работы. Им нужно не давать случайные команды, а постепенно объяснять ваши задачи, стиль и логику. Тогда они перестают бы

1 Aug 2026, 19:02 UTC128 viewsread 8 August 2026

Иногда мне кажется, что большинство из нас неправильно понимают, для чего вообще нужны нейросети. Мы просим: «Напиши пост.» Потом: «Напиши лучше.» Потом: «Еще лучше.» И в итоге решаем, что нейросети переоценены. Хотя проблема обычно не в них. Проблема в том, что мы пытаемся использовать их как исполнителя одной команды. А работают они совсем по-другому. Когда начинаешь объяснять нейросети свой контекст, за

28 Jul 2026, 14:58 UTC193 views1 reactionsread 8 August 2026
File

Как написать клиенту за 2 минуты — без навязывания и мучительного подбора слов Знакомая ситуация? Вы открываете переписку, несколько раз начинаете сообщение — и стираете. Не знаете, как обратиться к человеку, чтобы это не выглядело как массовая рассылка, давление или попытка сразу что-то продать. Поэтому я подготовил PDF «Как написать клиенту за 2 минуты с помощью нейросети». Внутри: — простая структура первого со

1

27 Jul 2026, 15:50 UTC180 views1 reactionsread 8 August 2026

Думаю доступ к телеграм в России скоро восстановят сроки: август-сентябрь

😍1

27 Jul 2026, 12:50 UTC135 viewsread 8 August 2026
Forwarded from @mlmforum1

Через час начинаем практикум «Люди сами пишут». Сегодня на первой встрече выберем тему и начнём создавать публикацию для вашего проекта. Дальше разместим её, посмотрим на реакцию аудитории и разберём, как превращать отклики в живые диалоги без давления и навязывания. Не нужно заранее уметь писать сильные тексты. Не нужно разбираться в сложных инструментах искусственного интеллекта. Будем делать всё вместе, шаг з

Showing the 12 most recent of 20 posts we hold for @agafonovlive. 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.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

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.

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.

Олеся Седова
@sedova_olesya_szr · 28,120
Telegram ranks this channel #50 of 74 here — alongside 73 others — read 13 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 16 September 2026 — this entry's latest reading, not the date you are reading this.

“Агафонов | Маркетинг - это просто” (@agafonovlive), 4,045 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/agafonovlive.

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.