Учу работать с нейросетями с нуля до PRO: Claude, ChatGPT, ИИ-агенты для рабочих задач. Без программирования.
▶️ 90К подписчиков на YouTube
🎁 С чего начать бесплатно – в закрепе
💬 Вопросы по обучению: @pmlebedev_support
Заявление РКН №7634918304
Created
Between 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
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 11 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear in near-verbatim form on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (6 of the pairs behind the counts below)
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 18 of the 18 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.
“Published first” means first in this corpus. We hold 142 comparable posts for this entry, running 1 August 2026 to 13 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Recorded under the key clone_copy, last confirmed 14 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Growth
65 measurements spanning 97 days, net +1,126. 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 12,572–14,041 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)
Subscribers
Change
12 Nov 2026, 11:16
13,871
+60
10 Nov 2026, 06:41
13,811
+73
8 Nov 2026, 18:47
13,738
+60
7 Nov 2026, 12:49
13,678
+32
6 Nov 2026, 16:18
13,646
+31
5 Nov 2026, 16:07
13,615
+56
4 Nov 2026, 14:44
13,559
+23
3 Nov 2026, 14:27
13,536
-2
2 Nov 2026, 16:46
13,538
+32
1 Nov 2026, 14:38
13,506
+39
31 Oct 2026, 12:40
13,467
+19
30 Oct 2026, 14:28
13,448
+29
29 Oct 2026, 13:47
13,419
+35
28 Oct 2026, 09:40
13,384
+26
27 Oct 2026, 10:31
13,358
+25
26 Oct 2026, 08:59
13,333
+25
25 Oct 2026, 11:35
13,308
+16
24 Oct 2026, 11:27
13,292
+35
23 Oct 2026, 12:50
13,257
+67
22 Oct 2026, 12:07
13,190
first reading
Engagement
190 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 73 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
7.22%
avg views ÷ 13,871 subscribers
Avg views / post
1,000
57 posts measured
Reaction rate
1.41%
reactions ÷ views · ER floor
Posts in window
59
of 190 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 50 of 57 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 14 November 2026
Posts held
190 (1 August 2026 – 14 November 2026)
Views total
57,055
Reactions total
705
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
14 Nov 2026, 20:24 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
≈2,620
Videos
≈268
Links
≈1,690
Lifetime counters from Telegram’s own channel header, read 14 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
10m 18s
Average length
31s
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.
Reaction mix
1,327 reactions across 144 posts, in 12 distinct kinds. The most used accounts for 31.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
418
31.5%
🔥
381
28.7%
❤
285
21.5%
😁
158
11.9%
👏
21
1.58%
👀
11
0.829%
🤔
11
0.829%
🤩
10
0.754%
⚡
8
0.603%
🎉
8
0.603%
👎
8
0.603%
😭
8
0.603%
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 149 of the 190 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 1,327 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 190 most recent posts we hold, published 1 August 2026 to 14 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
10
across the posts below
Posts paid on
7
of 188 we hold a reading for · 4%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @marketograf. 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 190 most recent posts we hold for this entry, published 1 August 2026 to 14 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: 10 of 59 posts held from the last 30 days (16.9%) 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).
Контент на неделю + фирменный стиль за 150К = за 2 часа. Без спешки.
Как по мне, это охренительно. То, что вы видите на картинках, это студенты сделали за 2 ч практикума по созданию контент-завода.
Когда я руководил дизайн-студией, на создание фирменного стиля уходил месяц и работа нескольких сотрудников. Для того чтобы создать сетку контента, требуется около 50 000₽, плюс ещё несколько дней согласований и фотосесс…
У нейросети наконец-то появился ассистент. Это вы
Пишете ей вопрос, а она в ответ:
«Сбегай, пожалуйста, в CRM, выкачай оттуда базу».
«Слушай, открой почту, я что-то не могу».
«И латте на миндальном принеси».
Узнали себя? Лечится это онбордингом: подключите нейросеть к почте, CRM и документам, как нового сотрудника. И бегать начнёт она, а не вы.
👍 если тоже бегаете за нейросеть
😁 если уже подключили
Начать бесплат…
На этой неделе обновил диктант.
Если у вас сбоил или не скачивалось обновление Диктанта это из-за упавшего хостинга beget.
Обновите его по ссылке https://diktantapp.ru/
Напомню, что сам Диктант работает локально (все расшифровки голоса остаются у вас), но раз в день он проверяет обновления и присылает цифру в счетчик (чтобы я видел статистику сколько людей пользуется Диктантом каждый день).
Сейчас поправили больш…
Открываю запись эфира по Claude, обычно она достаётся только ВИПу
В четверг провёл мастер-класс «Claude за вечер: с нуля, без программирования и блокировок». Сейчас объясню, почему возвращаюсь к нему отдельным письмом.
Обычно запись получают только те, кто брал ВИП, и она лежит у них три месяца. В этот раз делаю иначе и открываю её всем на 72 часа. Причина вот какая.
На эфире я показывал исследование Стэнфорда: в …
Отвечаю на вопросы из комментариев под роликом «Новый Claude: от новичка до PRO за 80 минут»
«Почему во вкладке Code без подписки ничего нельзя сделать?»
Claude Code и Cowork работают только на платной подписке, от 20 долларов в месяц. На бесплатном тарифе доступен обычный чат. Для старта его хватает: пробный урок нашего курса, например, проходится и на бесплатном Claude.
«Скилл – это что физически? Файл, скрипт?»
…
Ролик смонтировал Claude. Обошлось примерно в 1 500 рублей
Нам нужно было видео для нашего сервиса, который делает ИИ-агентов-продавцов. Я дал Claude задание и сказал: «Сделай».
Дальше всё от начала до конца сделал он: сценарий, тексты, титры, даже скринкасты. Лично я в этом ролике не сделал ничего. Собирал он его примерно вечер. Потом я посмотрел, во сколько это обошлось: около 1 500 рублей за весь монтаж.
Вторая…
Клод похоже решил уничтожить Miro и Zoom одним обновлением? Но это точно более умное использование Claude Duet, чем показали ChatGPT Dots.
https://youtu.be/YUYeHMsqbmY?si=tym4fUmsHo16Lh_V
Что думаете?
Первый урок курса бесплатно
Во вторник рассказывал, как Claude разобрал договор аренды, пока меня ждали риелторы. В курсе «Claude на максималках» этому посвящён целый урок: «ИИ-юрист: анализ документов с Claude». Вы поручаете Claude первичный разбор своего договора и получаете выжимку с важными условиями и рисками.
Всего в курсе 11 уроков и 2 бонусных: документы, исследование конкурентов, презентации, сайт, своё пр…
За 2 часа мы сделали работу более чем на на 200 000 рублей.
Считайте сами:
Рилс видео монтаж и поиск 5000р
Карусель сценарий и дизайн 1500р
Исследование рынка 15 000р
Приложение для оценки ущерба авто по фото 150 000р
Сайт интернет магазина 20 000р
Сайт витрина с интернет-магазином 20 000р
Самое главное: все делалось ПОКА Я ВЕЛ ЭФИР! То есть я задал задачи в начале и дальше Claude сделал все за меня.
Это наглядно …
Сегодня в 12:00 начинаем
Через несколько часов эфир «Claude за вечер».
Разберём работу с Claude на практике: сайты, видео, карусели, воронки продаж. Плюс новый подход к работе с ним и кейсы, на которых люди зарабатывают.
Совет: приготовьте одну свою задачу. Сайт, который давно хотелось сделать, или рутину, которая повторяется каждую неделю. Тогда выйдете с эфира не с конспектом, а с пониманием, что делать со своим…
Claude теперь подписывает свои тексты. Невидимо
С 3 ноября Anthropic встраивает невидимый водяной знак в тексты не только новых моделей Claude, но и старых: Mythos 5, Opus 4.7, Opus 4.6 и Sonnet 4.6. В новых моделях, вроде Opus 5.5, он стоит с августа.
Знак спрятан в выборе слов. Глазом его не видно, смысл и качество текста, по словам Anthropic, не меняются. Он переживает копирование и даже часть правок. Отключить …
👍10🔥4❤2
Showing the 12 most recent of 190 posts we hold for @marketograf. 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
@marketograf 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
11 August 2026
Most recent edit
11 August 2026
Posts recorded as deleted after publishing
We recorded 1 post on @marketograf as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
First seen missing
6 November 2026
Most recent seen missing
6 November 2026
Median time before seen missing
29 hours
Seen missing in the last 30 days
1
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Заблокировали, прошел верификацию на иностранный документ😔5%
Заблокировали, прошел верификацию на российский паспорт 😔15%
Верификацию прошел на паспорт РФ! Все работает! 🎉5%
Верификацию прошел на иностранный документ! Все работает! 🎉4%
Заблокировали даже без верификации 😔11%
The shares total 103%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 190 most recent posts we hold, published 1 August 2026 to 14 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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.
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.
Анжела Петкова | ИИ на практике @anjela_p · 78,768 Telegram ranks this channel #12 of 93 here — alongside 92 others — read 22 August 2026
Нейросети для предпринимателя @neural_for_business · 41,855 Telegram ranks this channel #17 of 83 here — alongside 82 others — read 28 August 2026
Nano Banana, GPT Images, Veo 3, Midjourney - Новости YES Ai @yes_ai_official · 97,265 Telegram ranks this channel #18 of 83 here — alongside 82 others — read 22 August 2026
Нейро Ликбезик | Кирилл Безиков @kirillbezikov · 19,901 Telegram ranks this channel #23 of 96 here — alongside 95 others — read 29 September 2026
НейроНатали | Обучение Нейросетям @Neyronatali · 20,504 Telegram ranks this channel #26 of 93 here — alongside 92 others — read 30 September 2026
AI Университет @neural_university_webinar · 37,027 Telegram ranks this channel #28 of 96 here — alongside 95 others — read 31 August 2026
Промт дня (Приручаем ChatGPT, Midjourney и другие нейросети) @ai2smm · 59,263 Telegram ranks this channel #29 of 95 here — alongside 94 others — read 22 August 2026
Ксения Баранова | PRO ИИ-технологии🔥 @xb_prosmm · 62,632 Telegram ranks this channel #32 of 92 here — alongside 91 others — read 22 August 2026
SMM с Дамиром Халиловым @damirkhalilov · 23,097 Telegram ranks this channel #43 of 91 here — alongside 90 others — read 18 September 2026
НЕЙРОГРАМОТНОСТЬ @edu4telegram · 76,308 Telegram ranks this channel #43 of 94 here — alongside 93 others — read 29 August 2026
Илья Палий | Переходник @mirneyrosetey · 59 Telegram ranks this channel #48 of 88 here — alongside 87 others — read 3 September 2026
Канал Игоря Зуевича @zuevichigor · 39,946 Telegram ranks this channel #48 of 91 here — alongside 90 others — read 30 August 2026
SYNTX FAMILY @syntxfamily · 323,893 Telegram ranks this channel #48 of 93 here — alongside 92 others — read 22 August 2026
💎 Зерокодер | Нейросети и искусственный интеллект @oqode · 39,386 Telegram ranks this channel #59 of 92 here — alongside 91 others — read 30 August 2026
Сергей Нагорный | Маркетинг и Нейросети @gora_academy · 20,246 Telegram ranks this channel #74 of 87 here — alongside 86 others — read 3 October 2026
Нейросетевые покои: нейросети, ChatGPT, Midjourney @neural_houses · 44,010 Telegram ranks this channel #75 of 92 here — alongside 91 others — read 28 August 2026
This channel appears in 16 seed channels' Telegram-generated recommendation lists 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 12 November 2026 — this
entry's latest reading, not the date you are reading this.
“Павел Лебедев про нейросети | Claude, ChatGPT, обучение ИИ” (@marketograf), 13,871 subscribers as measured 12 November 2026. Telegram Register, tgregister.com/channel/marketograf.
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