Cооснователь YouDo и проекта «Основатели»: медиа, сообщество, печатный журнал и конференции.
Сотрудничество и реклама — @kut_pa
https://gosuslugi.ru/snet/67a4622d24c8ba6dca9088be
Created
22 August 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel)
13 measurements spanning 12 days, net +202. 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 58,283–58,622 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
18 Aug 2026, 12:53
58,583
+22
17 Aug 2026, 11:25
58,561
+18
16 Aug 2026, 02:25
58,543
+66
14 Aug 2026, 14:28
58,477
-27
13 Aug 2026, 03:34
58,504
-49
12 Aug 2026, 05:39
58,553
-6
11 Aug 2026, 07:55
58,559
-9
10 Aug 2026, 10:11
58,568
+139
9 Aug 2026, 07:11
58,429
+27
8 Aug 2026, 09:44
58,402
+80
7 Aug 2026, 12:42
58,322
-56
6 Aug 2026, 11:22
58,378
-3
6 Aug 2026, 02:01
58,381
first reading
Engagement
39 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 28 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
17.7%
avg views ÷ 58,583 subscribers
Avg views / post
10,400
39 posts measured
Reaction rate
1.53%
reactions ÷ views · ER floor
Posts in window
39
of 39 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 18 August 2026
Posts held
39 (31 July 2026 – 18 August 2026)
Views total
404,280
Reactions total
6,188
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
18 Aug 2026, 23:59 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
685
Videos
82
Links
356
Lifetime counters from Telegram’s own channel header, read 18 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
42s
Average length
42s
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
5,567 reactions across 36 posts, in 13 distinct kinds. The most used accounts for 27.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
1,525
27.4%
❤
1,503
27.0%
💯
1,055
19.0%
🤣
674
12.1%
👍
440
7.90%
👏
95
1.71%
custom 5325793781008586348
88
1.58%
😭
85
1.53%
🤔
47
0.844%
🤷♂
22
0.395%
🤬
17
0.305%
😱
14
0.251%
🎉
2
0.036%
Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it isTelegram’s.
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 39 of the 39 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 6,188reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 39 most recent posts we hold, published 31 July 2026 to 18 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.
Advertising
Ad load
12.8%
5 of 39 posts carry an ad marker
Regulatory tokens
0
none — marked by hashtag only
Median views · ads
10,200
over 5 measured posts
Median views · rest
10,300
over 34 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor.A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. They are printed side by side with the count behind each rather than as a ratio: an ad and an ordinary post are not otherwise matched — for topic, for length, for hour of day — so the gap between them is a description of two groups and not the effect of one being an ad.
Measured over the 39 most recent posts we hold, published 31 July 2026 to 18 August 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
НАХРЕН ДЕНЬГИ, Я ИДУ ЗА ОПЫТОМ
Один из моих любимых актеров Мэттью Макконахи рассказывал в интервью как он выбирает новые роли и почему это может занимать годы.
Если я читаю роль, от которой меня трясёт, которая бросает вызов тому, как я живу в реальной жизни, которая проверяет меня как человека, вот за чем я иду. Нахрен деньги, я иду за опытом.
Мне кажется, что принцип «кем я стану после того, как это сделаю?» и…
СКРИНШОТЫ УБИВАЮТ ПАМЯТЬ
Оказалось, что у меня в телефоне почти 9 тысяч скринов и явно я их никогда не разгребу. Хотя ежедневно продолжаю что-то сриншотить с мыслью «надо сохранить, чтобы не забыть».
Наткнулся на свежее исследование Бингемтонского университета, что информацию, которую мы скриншотим, мы быстрее забываем.
Мозг словно получает сигнал, что информация сохранена во внешнюю память и хуже потом её обрабат…
Сегодня оценивал проекты начинающих предпринимателей
Меня пригласили стать экспертом в финале акселератора «Своё дело», который Яндекс Про проводит для своих исполнителей. Это те самые ребята, с которыми мы почти каждый день взаимодействуем, когда вызываем машину или заказываем доставку.
У них не самая лёгкая работа, поэтому для меня было большой честью оценивать их проекты и попытаться помочь сделать первый шаг в …
Усредниться по жизни
Есть в трейдинге такой термин: усредняться. Особенно грустно он звучит на падающем рынке, когда ты докупаешь на просадке, а потом на новой просадке, тем самым усредняя высокую цену входа.
Мне кажется, что люди часто так же усредняются в жизни. Когда пытаются понравиться всем, никого не обидеть, не разочаровывать, не вызывать критику. Хотят быть для всех хорошими, а в какой-то момент становятся …
Нет ничего более скучного, чем каждую неделю тратить пять дней в ожидании выходных. Как и тратить 50 недель в году в ожидании двух недель свободы.
Если тебе постоянно хочется ускорить свою жизнь до наступления отдыха, то чинить лучше будни.
КАК СТРОИТЬ МАРКЕТИНГОВУЮ МАШИНУ НОВОГО ВРЕМЕНИ
Уже несколько месяцев пользуюсь Wispr Flow. Одна из немногих AI-штук, которая в разы подняла мою продуктивность.
Почему-то был уверен все это время, что Wispr небольшой стартап, которых на рынке voice-to-text решений полно. В том числе бесплатных и опенсорсных. Можно навайбкодить за вечер под себя персонально.
А оказалось, что на последнем раунде Wispr оценили в $2 м…
В Шерегеше строят курорт с собственным аэропортом
Шерегеш много лет работал четыре месяца в году. Сейчас кузбасский курорт перестраивают в круглогодичный, и масштаб у этой стройки другой.
Международный аэропорт откроется в 2030 году, в семи километрах от посёлка. Транспортный узел свяжет автомобильную дорогу, железную и канатную. По прогнозу аналитиков, вместе с государственными вложениями в 243 млрд рублей это уве…
Вау! Лекс Фридман выпустил трехчасовой подкаст с Хабибом на русском.
Если вдруг не знаете Лекса, это один из самых известных медиа-персон и подкастеров в мире с огромной аудиторией. У него были Маск, Трамп, Цукерберг, Безос, Дуров и тд.
Лекс родился в СССР, но почти всю жизнь прожил в США. Я почему-то только сейчас узнал, насколько хорошо он говорит по-русски.
Вчера ночью начал смотреть. В отличие от многих велики…
ЗАМЕНИ «НО» НА «И»
Когда мы хотим сделать что-то большое, в голове рано или поздно появляется своё «но»:
⁃ Хочу начать бизнес, НО не хочу терять стабильность.
⁃ Хочу стать публичным, НО мне важно, что обо мне скажут.
НО на реальность выгоднее смотреть иначе, если заменить «но» на «и».
⁃ Можешь рискнуть И провалиться.
⁃ Начать бизнес И зарабатывать меньше, чем в найме.
⁃ Стать публичным И столкнуться с критик…
15 СЕКУНД СНА, КОТОРЫЕ РАБОТАЮТ ЛУЧШЕ ДВУХ ЧАСОВ УСЕРДИЯ
Забавный факт. Когда Эдисон не мог решить какую-то задачу, то садился в кресло и брал в руки два металлических шарика и начинал засыпать.
В момент засыпания руки расслаблялись, шарики падали с грохотом, он просыпался и сразу записывал мысли, которые пришли в голову.
Сальвадор Дали использовал похожий трюк, только держал в руке ключ над тарелкой.
Идея у них …
Перестань делать то, что не начал бы сегодня.
Чем больше живу, тем больше убеждаюсь. Если единственная причина заставлять себя продолжать что-то делать, это «я уже вложил сюда столько сил, денег или времени», то это не причина продолжать.
С начала года я активно пилю свой иишный «второй мозг».
Сначала он вырос из моего личного дневника в накопленный контекст жизни, для более качественных ответов с ИИ в чатике. Потом поверх него начал достраиваться контекст по проектам, CRM контактов, доступ к звонкам, телеге, дашбордам и разные агенты, которые помогают принимать решения, трекать меня по целям и задачам.
Сейчас я пытаюсь формировать такие контексты д…
🔥81👍41❤19💯5🤔1🤷♂1
Showing the 12 most recent of 39 posts we hold for @kutergin_on_fire. 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
@kutergin_on_fire 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
9 August 2026
Most recent edit
9 August 2026
Citation-graph rank
Citation-graph rank — 6,879 of 1,550,220entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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 21 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.
Mikhail Tokovinin @mtokovinin · 107,913 Telegram ranks this channel #6 of 97 here — alongside 96 others — read 15 August 2026
Sokolovskiy @sokolay · 110,578 Telegram ranks this channel #11 of 94 here — alongside 93 others — read 14 August 2026
Oleg Torbosov @TorbosovLife · 108,153 Telegram ranks this channel #12 of 92 here — alongside 91 others — read 15 August 2026
Оскар Хартманн @Oskar_Hartmann · 93,958 Telegram ranks this channel #19 of 95 here — alongside 94 others — read 16 August 2026
Михаил Гребенюк @grebenukm · 262,817 Telegram ranks this channel #21 of 95 here — alongside 94 others — read 10 August 2026
Хулиномика @hoolinomics · 97,792 Telegram ranks this channel #33 of 97 here — alongside 96 others — read 16 August 2026
Тёмная сторона / Темнографика @temno · 80,197 Telegram ranks this channel #43 of 99 here — alongside 98 others — read 18 August 2026
Строительство и бизнес @RussiaBuild · 110,188 Telegram ranks this channel #48 of 89 here — alongside 88 others — read 14 August 2026
RationalAnswer | Павел Комаровский @RationalAnswer · 105,505 Telegram ranks this channel #60 of 98 here — alongside 97 others — read 15 August 2026
Маргулан Сейсембай @MargulanSeissembai · 211,342 Telegram ranks this channel #60 of 96 here — alongside 95 others — read 11 August 2026
Аяз @AyazShabutdinov · 180,953 Telegram ranks this channel #79 of 89 here — alongside 88 others — read 12 August 2026
Простая экономика @prostoecon · 293,840 Telegram ranks this channel #93 of 95 here — alongside 94 others — read 12 August 2026
This channel appears in 12 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 18 August 2026 — this
entry's latest reading, not the date you are reading this.
“Кутергин в огне 🔥” (@kutergin_on_fire), 58,583 subscribers as measured 18 August 2026. Telegram Register, tgregister.com/channel/kutergin_on_fire.
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.