Бунтарь, революционер, выпускник Оксфорда.
Закрытое сообщество блогеров, экспертов и предпринимателей, в котором люди попадают в свою "стаю" и становятся богаче. Доступ к легендарному курсу из Оксфорда 1% находится в закрепе группы.
Created
Between 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
Marketing & affiliate — 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 53% 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
40 measurements spanning 71 days, net -743. 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 27,475–28,440 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 40
Measured (UTC)
Subscribers
Change
17 Oct 2026, 05:56
27,586
-19
16 Oct 2026, 05:47
27,605
-9
15 Oct 2026, 03:40
27,614
-11
13 Oct 2026, 23:41
27,625
-28
10 Oct 2026, 19:00
27,653
-49
6 Oct 2026, 14:01
27,702
-42
1 Oct 2026, 16:01
27,744
-123
18 Sept 2026, 08:21
27,867
-16
16 Sept 2026, 00:42
27,883
-9
14 Sept 2026, 07:21
27,892
-17
12 Sept 2026, 12:37
27,909
-21
10 Sept 2026, 08:55
27,930
-41
7 Sept 2026, 01:17
27,971
-40
4 Sept 2026, 09:19
28,011
-7
2 Sept 2026, 23:59
28,018
-15
1 Sept 2026, 22:47
28,033
-10
1 Sept 2026, 02:13
28,043
-14
31 Aug 2026, 00:35
28,057
-11
30 Aug 2026, 01:14
28,068
-14
29 Aug 2026, 00:19
28,082
first reading
Engagement
83 posts held, back to 31 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 111 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
0.565%
avg views ÷ 27,586 subscribers
Avg views / post
156
30 posts measured
Reaction rate
4.45%
reactions ÷ views · ER floor
Posts in window
30
of 83 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 28 of 30 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 17 October 2026
Posts held
83 (31 July 2026 – 17 October 2026)
Views total
4,672
Reactions total
196
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
17 Oct 2026, 08:21 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
≈1,470
Videos
≈374
Links
≈832
Lifetime counters from Telegram’s own channel header, read 17 October 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
21m 04s
Average length
21m 04s
Measured directly from 1 video 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
530 reactions across 74 posts, in 4 distinct kinds. The most used accounts for 40.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
212
40.0%
🔥
166
31.3%
🦄
149
28.1%
🤣
3
0.566%
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 74 of the 83 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 530 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 83 most recent posts we hold, published 31 July 2026 to 17 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.
❗️️️️️️️Через пару часов начинаю проводить ИИ-профориентацию.
❤️ - ставьте, кто хочет попасть.
Прямо в эфире, чтобы остальные тоже посмотрели, как это работает🔥
Разберём вместе с Софией, куда вам стоит двигаться и с чего начать, и создадим чёткий план действий.
Либо подсветим вам точки роста, чтобы до конца года вы смогли сделать прорыв в той сфере, которая для вас важна)
Короче, хочу собрать вас на отдельный со…
Всем привет! Спешу выразить благодарность уважаемому трекеру София❤️Представляете, просто за день с её поддержкой и советами я сделала презентацию для школы, коммерческое предложение и договорилась о встрече с директором на понедельник. Просто правая рука🔥
Публикую урок и РАБОЧУЮ ТЕТРАДЬ ДЛЯ ВАС 🎉🥳
Тема: Как стать по-настоящему умным? 9 правил, которым меня научил Оксфорд.
Разобрал исследования Гарварда, Йеля, Колумбийского и других университетов. Показал, почему понятное объяснение создаёт ощущение знаний, как мы путаем поиск в интернете с собственным пониманием и почему просмотренных уроков недостаточно для освоения навыка.
И самое главное - дал рабочую стратегию:…
Как изменились отношения с сестрой, после профориентации для нее🥲
Честно - я прямо всплакнула когда увидела ее отчет, от глубины осознаний какая она, ее глубину и свое непонимание ее действий и бездействий. Все встало на свои места, то что я считало слабостью - я увидела и подсветила это ее силой.
Увидев ее тип личности я поняла как важно слышать ее мнение, и поделилась с родителями - все так поменялось после этого …
Как начать пользоваться Софией?
Записал видео про платформу Sofia AI. Рассказал как пройти свою ИИ-профориентацию, как стать ИИ-профориентологом и трекером.
🎥 YouTube и Рутуб
💎 Sofia AI – это платформа для раскрытия личности, талантов и жизненной миссии человека.
Наша миссия - помочь миллионам людей жить осознанно, счастливо и с целью в жизни опираясь на свои таланты.
Сайт: https://welcome.sofiaai.pro/
🔒Доступ …
Вчера я прошла профориентацию и это я вам могу сказать точно, надо практически всем.
Тут нет эзотерики, расчетов, гороскопов, только непосредственные факты о вас, как о личности.
Здорово конечно, если вы занимаетесь любимым делом, вас полностью устраивает ваша работа, тут вопросов нет. А если вы, как и я, в вечном поиске, потерянности, просто хотите сменить профиль направления, узнать ваши сильные стороны, то от души…
Доброе утро!
Я у вас новичок) Прошла профориентацию и смотрю обучение.
Как человек, у которого есть переподготовка на базе ВО по профориентации, могу сказать "наконец-то кому-то пришло в голову создать Софию!". Потому что всё, что она делает, я делала на встречах. И это всё занимало больше 8 часов (3 встречи часа по полторп, обработка информации самостоятельно и формулирование результата и отчёта. За такие же примерн…
Уехал далеко в горы ⛰️
Помню, как четыре года назад сидел в офисе и задал себе вопрос: «Чего ты больше всего хочешь?»
И сразу ответил: «Хочу работать удалённо и не быть привязанным к конкретному городу».
Жизнь удивительна.
Спасибо себе за то, что тогда решил создать Sofia AI.
❤️ - если ставите себе тоже такое намерение
Стать частью Софии: https://t.me/sofia_paybot?start=intro
Теперь каждый подписчик Sofia Ai получает свой личный сайт.
Хочется чтобы у ребят не было отдельной головной боли по тому как упаковать это и продавать.
❤️ - если поддерживаете идею.
Сайт еще не до конца докрутил, мобильную верстку еще не сделал и тд, но что-то уже глянуть можно: https://welcome.sofiaai.pro
Ну круто же. То-есть человек заходя в Sofia Ai получает:
1. Свой персональный сайт
2. Свою личную ИИ-профо…
❤2🔥2🦄2
Showing the 12 most recent of 83 posts we hold for @prokurakin. 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.
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 17 October 2026 — this
entry's latest reading, not the date you are reading this.
“Главный по заработку в онлайне” (@prokurakin), 27,586 subscribers as measured 17 October 2026. Telegram Register, tgregister.com/channel/prokurakin.
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.