Про ИИ, продуктивность и контент ✨👩💻
Реклама и сотрудничество →
https://t.me/pr_marinamogilko
Служба поддержки →
@marina_mogilko_bot
Регистрация в РКН: https://clck.ru/3FAwuX
Created
Between 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
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 9 September 2026 and assigned it the closest of 31 fixed categories, at 34% 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
59 measurements spanning 91 days, net -1,704. 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 48,714–50,930 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 59
Measured (UTC)
Subscribers
Change
6 Nov 2026, 16:15
48,970
-31
5 Nov 2026, 16:26
49,001
-7
4 Nov 2026, 19:19
49,008
-8
3 Nov 2026, 20:16
49,016
-23
2 Nov 2026, 22:17
49,039
-3
1 Nov 2026, 22:16
49,042
-30
31 Oct 2026, 20:00
49,072
-26
30 Oct 2026, 23:17
49,098
-10
29 Oct 2026, 23:19
49,108
-20
28 Oct 2026, 21:11
49,128
-30
27 Oct 2026, 17:09
49,158
-43
26 Oct 2026, 17:40
49,201
-24
25 Oct 2026, 17:39
49,225
-13
24 Oct 2026, 16:10
49,238
-14
23 Oct 2026, 17:17
49,252
-36
22 Oct 2026, 15:45
49,288
-16
21 Oct 2026, 09:58
49,304
-2
20 Oct 2026, 05:11
49,306
-26
19 Oct 2026, 03:07
49,332
-7
18 Oct 2026, 00:17
49,339
first reading
Engagement
55 posts held, back to 22 June 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 186 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
6.63%
avg views ÷ 48,970 subscribers
Avg views / post
3,240
13 posts measured
Reaction rate
1.67%
reactions ÷ views · ER floor
Posts in window
13
of 55 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
Window
Rolling 30 days · latest post in window 6 November 2026
Posts held
55 (22 June 2026 – 6 November 2026)
Views total
42,180
Reactions total
705
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Nov 2026, 00:27 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
≈1,270
Videos
≈334
Links
≈922
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
2m 05s
Average length
25s
Measured directly from 5 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
3,778 reactions across 55 posts, in 17 distinct kinds. The most used accounts for 59.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2,236
59.2%
🔥
844
22.3%
👍
394
10.4%
👏
111
2.94%
❤🔥
98
2.59%
👀
26
0.688%
😍
13
0.344%
🥰
12
0.318%
🎉
10
0.265%
👌
10
0.265%
💔
7
0.185%
💯
6
0.159%
⚡
4
0.106%
🤩
3
0.079%
🏆
2
0.053%
👨💻
1
0.026%
💋
1
0.026%
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 55 of the 55 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 3,778 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 55 most recent posts we hold, published 22 June 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
11
across the posts below
Posts paid on
9
of 55 we hold a reading for · 16%
Most on one post
3
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @youtube_marina. 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 55 most recent posts we hold for this entry, published 22 June 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: 1 of 13 posts held from the last 30 days (7.69%) 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).
40 лет зарплаты растут медленнее производительности. С ИИ разрыв станет только больше.
Марина обсуждала это с Джеймсом Маньикой, одним из топ-менеджеров Google.
Производительность по умолчанию уходит компании. Советы Джеймса, как подготовиться к разговору с работодателем о повышении оплаты труда.
Главное — показать «до/после».
❌ «Я использую ИИ в работе» — это слабый аргумент.
✅ «Еженедельный отчёт у меня занима…
Что делать, если вы столкнулись с Ричардом Брэнсоном у лифта?
Марина спешила на мероприятия Генассамблеи ООН в Нью-Йорке, вышла из лифта в отеле и чуть не врезалась в Брэнсона.
Ричард Брэнсон — британский предприниматель, основатель Virgin Group, авиакомпании Virgin Atlantic и космической компании Virgin Galactic, на корабле которой он сам слетал на границу космоса в 2021 году.
Мама учила Марину: если видишь шанс …
Заменить 5% сотрудников ИИ-агентами или ускорить всю команду на 5%? Ответ нобелевского лауреата.
Марина спросила Дарона Аджемоглу, профессора MIT и лауреата Нобелевской премии по экономике 2024 года, про популярные посты в духе «вместо того чтобы нанять человека, я запустил ИИ-агента».
Аджемоглу сказал, что он не против автоматизации, да и остановить её всё равно невозможно. Проблема начинается, когда ИИ используют…
Нобелевский лауреат по экономике отговаривает своих студентов писать тексты с ИИ.
Дарон Аджемоглу, профессор MIT и лауреат Нобелевской премии по экономике 2024 года, рассказал в подкасте у Марины, как работает с ИИ он сам и его студенты.
Писать за себя он ИИ не даёт и студентов отговаривает: человек должен оставаться хозяином своего текста. Даже если пишет не на родном языке.
Он использует ИИ как критика. Отдаёт ч…
Одного «нет» было достаточно, что сбить Марину с пути
Вчера мы показали два кадра с разницей в 8 лет: первое интервью Марины, снятое мужем в Сиэтле, и съёмку с нобелевским лауреатом Дароном Аджемоглу.
Что было между ними?
1️⃣ Отказы
Марина отправляла приглашения гостям и получала отказы. Одного «нет» хватало, чтобы следующие три месяца она никому не писала.
«Казалось: я недостаточно хороша, ко мне никто не придё…
🎥 Для Марины та самая идея, которая возвращается снова и снова, — это подкаст.
Больше всего её вдохновляли разговоры с интересными людьми и возможность узнать и рассказать их историю.
Ради первого интервью для Silicon Valley Girl Марина полетела в Сиэтл к 18-летнему предпринимателю, который продал свой стартап Microsoft и купил Lamborghini. Они катались по городу и снимали у него дома.
За камерой стоял муж Марины…
🖋 CEO Airbnb каждый день пишет около 1000 слов. Большая часть из них - «на выброс»
Так Брайан Чески находит стоящие идеи.
Свою логику он объяснил словами химика Лайнуса Полинга:
Лучший способ придумать хорошую идею — придумать много идей. А хорошие идеи, по словам Брайана, не умирают. Они возвращаются снова и снова, даже через месяц, пока их уже невозможно игнорировать.
! Идея на сейчас — записывайте в заметки в …
Завтра выходит интервью, которое Марина ждала 7 лет
CEO Airbnb Брайан Чески был номером 1 в списке гостей мечты Марины ещё в 2018-м, когда она только начинала развивать канал Silicon Valley Girl на YouTube.
Через год Марина увидела его в аэропорту, подбежала прямо перед рейсом и позвала на подкаст. Тогда Брайан ответил, что не даёт интервью подкастам.
Спустя 7 лет он пришёл. ❤️
Компания Airbnb давно была для Мари…
Промпт, который Марина запускает каждый месяц 🤖
Эрик Бриньолфсон изучает, как ИИ меняет рынок труда, и руководит лабораторией цифровой экономики в Стэнфорде. На подкасте у Марины он сказал:
Те, кто использует ИИ, чтобы усилить свою работу, уходят вперёд от тех, кто отдаёт ему задачи целиком.
Как найти место, где ИИ усилит именно вас?
Эрик советует начать с интервью с ИИ:
Расскажи, чем ты можешь быть мне полезен.…
Президент OpenAI: мощное возрождение предпринимательства будет в ближайшие 1–2 года.
Грег Брокман, создавший chatGPT, объяснил, почему он так считает:
Чтобы запустить бизнес, нужно разбираться сразу во многих областях, и это всегда было сложно. Теперь у каждого в кармане бизнес-консультант мирового уровня. В OpenAI видят, как много людей открывают малый бизнес, потому что с ChatGPT чувствуют себя увереннее.
Есть и…
Пора автоматизировать задачу? Что советует сооснователь OpenAI.
Грег Брокман, сооснователь OpenAI, на подкасте с Мариной сказал, что «с чего начать» — едва ли не самый сложный вопрос в работе с ИИ. Проблема белого листа.
Его правила:
Шаг 1. Определите маленькую боль.
Например, письмо, на которое вы уже несколько дней не решаетесь ответить.
Шаг 2. Несколько раз сделайте задачу вместе с ИИ вручную.
Автоматизирова…
Сайт за 35 минут: от первого промпта до публикации
Столько ушло у Марины, чтобы собрать свой новый личный сайт, прямо во время записи подкаста.
Ей нужен был сайт как единая точка входа: соцсети, подкасты, информация о ней в одном месте, чтобы отправить одной ссылкой партнёру или бренду.
Вам личный сайт может пригодиться как портфолио: проекты, результаты, примеры кода или прошлые выступления. Такую ссылку удобно о…
❤29❤🔥6🔥5👍4
Showing the 12 most recent of 55 posts we hold for @youtube_marina. 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
@youtube_marina 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
22 September 2026
Most recent edit
22 September 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 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 25 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Linguamarina @mogilkomarina · 55,957 Telegram ranks this channel #1 of 89 here — alongside 88 others — read 23 August 2026
Мария Солодар | Интернет-маркетинг и фриланс @marketing_Solodar · 21,913 Telegram ranks this channel #2 of 84 here — alongside 83 others — read 21 September 2026
Артем Кей @artemmkey · 31,031 Telegram ranks this channel #10 of 84 here — alongside 83 others — read 6 September 2026
Наташа маркетинг Париж 🥐 @panfilcom · 19,110 Telegram ranks this channel #13 of 89 here — alongside 88 others — read 2 October 2026
Панкратова покоряет США @pankratova916 · 22,249 Telegram ranks this channel #29 of 86 here — alongside 85 others — read 20 September 2026
Разум Тело и Еда @razumteloeda · 66,220 Telegram ranks this channel #29 of 89 here — alongside 88 others — read 20 August 2026
kurchanov_prod @kurchanov_prod · 1 Telegram ranks this channel #44 of 83 here — alongside 82 others — read 8 September 2026
НЕЙРОГРАМОТНОСТЬ @edu4telegram · 77,625 Telegram ranks this channel #49 of 94 here — alongside 93 others — read 29 August 2026
Иммиграция в США с Айя Балтабек @aya_baltabek · 20,567 Telegram ranks this channel #51 of 63 here — alongside 62 others — read 26 September 2026
Трус Юлия про бизнес @trusprobusiness · 36,990 Telegram ranks this channel #53 of 88 here — alongside 87 others — read 31 August 2026
ChatPlace @chatplaceio · 55,639 Telegram ranks this channel #53 of 85 here — alongside 84 others — read 25 August 2026
«ВЫШЕ ТОЛЬКО ЛЮБОВЬ» @very_ire · 21,634 Telegram ranks this channel #59 of 83 here — alongside 82 others — read 22 September 2026
Кирилл Артамонов @artamonov_proreels · 24,917 Telegram ranks this channel #61 of 80 here — alongside 79 others — read 14 September 2026
LinguaTrip @linguatrip_channel · 34,027 Telegram ranks this channel #64 of 86 here — alongside 85 others — read 3 September 2026
Академия PRO.FINANSY @profinansy_academy · 82,542 Telegram ranks this channel #69 of 87 here — alongside 86 others — read 18 August 2026
Анастасия ko_sha @koshechkiklub · 26,528 Telegram ranks this channel #76 of 80 here — alongside 79 others — read 12 September 2026
Артем Сенаторов печатает... @senatorov_art · 30,376 Telegram ranks this channel #76 of 83 here — alongside 82 others — read 5 September 2026
Киселёва тут | AI • режиссура • портфолио @kiselevatut · 22,947 Telegram ranks this channel #82 of 84 here — alongside 83 others — read 19 September 2026
This channel appears in 18 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 6 November 2026 — this
entry's latest reading, not the date you are reading this.
“кабинет маркетолога” (@youtube_marina), 48,970 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/youtube_marina.
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.