Memes & entertainment — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 20 August 2026 and assigned it the closest of 31 fixed categories, at 86% 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
53 measurements spanning 83 days, net -3,003. 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 70,232–74,135 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 53
Measured (UTC)
Subscribers
Change
28 Oct 2026, 02:56
70,682
-27
27 Oct 2026, 01:41
70,709
-43
26 Oct 2026, 03:41
70,752
-35
25 Oct 2026, 03:21
70,787
-35
24 Oct 2026, 06:56
70,822
-68
23 Oct 2026, 04:51
70,890
-49
22 Oct 2026, 06:55
70,939
-49
20 Oct 2026, 21:10
70,988
-71
19 Oct 2026, 17:57
71,059
-68
18 Oct 2026, 15:56
71,127
-66
17 Oct 2026, 16:08
71,193
-83
16 Oct 2026, 15:09
71,276
-75
15 Oct 2026, 14:38
71,351
-30
14 Oct 2026, 16:39
71,381
-73
13 Oct 2026, 09:21
71,454
-143
9 Oct 2026, 09:35
71,597
-52
4 Oct 2026, 22:19
71,649
-167
27 Sept 2026, 13:38
71,816
-297
17 Sept 2026, 13:17
72,113
-108
15 Sept 2026, 12:38
72,221
first reading
Engagement
85 posts held, back to 25 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 172 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
12.4%
avg views ÷ 70,682 subscribers
Avg views / post
8,730
33 posts measured
Reaction rate
0.757%
reactions ÷ views · ER floor
Posts in window
33
of 85 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 26 October 2026
Posts held
85 (25 June 2026 – 26 October 2026)
Views total
288,080
Reactions total
2,182
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
27 Oct 2026, 21:23 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
Video runtime
1m 35s
Average length
16s
Measured directly from 6 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
7,134 reactions across 84 posts, in 6 distinct kinds. The most used accounts for 42.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
3,037
42.6%
🕊
1,130
15.8%
🫡
1,127
15.8%
💅
943
13.2%
🖕
809
11.3%
😡
88
1.23%
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 85 of the 85 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 7,171 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 85 most recent posts we hold, published 25 June 2026 to 26 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.
Telegram Stars
Stars received
54
across the posts below
Posts paid on
18
of 85 we hold a reading for · 21%
Most on one post
14
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @sakutin_csharp. 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 85 most recent posts we hold for this entry, published 25 June 2026 to 26 October 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.
Больше всего в Claude меня бесит цензура
Или даже: "Этика". Доходит до безумия, он отказывается в некоторых постах моих расставлять запятые так, как текст не этичен и слишком резок.
Я специально теперь держу подписку на другие ИИ, чтобы когда этот брыкается попросить более сговорчивую модель доделать кусок.
Накоплю денег и поставлю себе огромный сервер в комнате с локальной моделью который будет мне генерировать в…
Как жить дальше?
Этот вопрос раньше мы задавали себя робко и пытались побыстрей отвлечься.
Сейчас он уже всё чаще звучит как сирена в голове.
ИИ, кризис, безработица.
Сегодня вышел видос на YouTube про это, разговорный, спокойный и субботний.
Раньше мне казалось, что достаточно мудрых слов 30 градуса посвящения массонов в рыцари Кадоша: "Fais ce que dois, advienne, que pourra"
Или как это сформулировал Рейнхоль…
Я начал экономить
Сейчас в стране финансовый кризис. Мне каждый день по несколько знакомых пишет с просьбой помочь с работой.
Кто-то адаптировался, кто-то только на пути а кто-то в жопе.
В любом случае я тоже закручиваю гайки и например отказался от доставки еды и продуктов.
За Яндекс.Лавку и Самокат приходится переплачивать какие-то космические деньги. А если и расщедриться и заказать роллов на вечер — это увле…
Сегодня готовлю батино вариво
Паста с инжиром, сыром с плесенью, мандаринами и грецким орехом и креветками на сливках
На выходных причащаюсь и крестим мелкую, сегодня без алкогольной комы!
Нет, ну если вы готовы мне сделать одолжение
Заметил, что у большинства безработных айтишников есть одна мерзкая черта.
Которой, наверное, все мы так или иначе болеем. Но у них она особенно воспалена.
Звучит она так: "Даже на падающем рынке, на котором человек сидит без работы уже год, он готово сделать вам одолжение и выбрать вашу компанию для трудоустройства".
Надеюсь господь всем нам простит нашу непомерную го…
Ещё одна задача, и я ухожу в рэп!
Мужчина всю жизнь борется с непреодолимым желанием начать делать рэп. Если в итоге у меня ничего в жизни не выйдет, пойду запишу микстейп.
Принёс вам очередную прохладную выдуманную историю.
Принимал сегодня доставку, и меня узнал курьер. Через час он ещё раз позвонил в дверь и попросил уделить ему десять минут. Поболтали, он рассказал, что учит Python и хочет вкатиться в айти. Ни…
Начинаем набор группы на обучение системной аналитике
Оплата ПОСЛЕ трудоустройства. Да, никаких предоплат, депозитов и прочего.
Индивидуальный менторинг до дохода в 200 000+ рублей в месяц за 2–4 месяца обучения. Выводим сразу на уровень Middle+ и помогаем в работе после трудоустройства.
Залетайте в закрытый канал, там все подробности: https://t.me/+gG0iplsEBf1hZjUy
P.S: Мест очень мало, скоро закроем принятие за…
Новый альфа среди айтишников это системный аналитик?
Обьективная инфа без рекламы и прогрева на курс.
Почему они сейчас пользуются спросом, понять легко.
Все знают про нейронки. Все знают, что у нейронок маленький контекст.
Если ей о чём-то не сказать, она про это забудет. А если не забудет, то в процессе работы всё равно может пропустить.
Вот системный аналитик это чинит.
Его задача посмотреть на получившуюся …
Так чем занимаются айтишники, которые могут найти работу?
Глупо отрицать влияние ИИ. Но пообщавшись с реальными людьми и почитав ваши комментарии, можно сделать простой вывод.
Люди работают, люди находят работу и в целом живут, и даже счастливо.
Главный критерий того, что какая-нибудь IT-профессия живая, это возможность вкатить в неё своего друга.
Да, взять этого оболтуса, который вечно в долгах, и за пару месяце…
⚡️Ким Чен Ын впал в кому и экстренно госпитализирован, — таблоид The Sun.
Возможно это случилось после просмотра моей документалки.
Из неё прямо следует, что слухи про великих корейских хакерах преувеличены. А знаменитые айтишники которые работают тайно в топовых компаниях - миф.
КНДР - это страна волков, всмысле осознанных и меркантильных, они профессионально накручивают опыт и работают на валютных удалёнках по п…
Кто выжил в IT?
Наброс про смерть айтишников меня всегда забавлял. Типа ну окей, весь код пишет ИИ.
А кто этим ИИ будет управлять? Успешный менеджер едет такой в майбахе и пишет промпты: "А сделай-ка мне тут кнопочку зелёной!"
Очевидно, что IT не умирает, а меняется. Условный фронтендер теперь менее нужен, а какой-нибудь продакт-менеджер и тестировщик нужнее. Кода стало больше, а вот зачем он нужен и работает ли, …
👍50🕊3🫡2
Showing the 12 most recent of 85 posts we hold for @sakutin_csharp. 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
@sakutin_csharp edited 2 posts 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
3 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 3 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.
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 19 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.
ТехноМакс: Максим Багаев @Tehnomaks · 40,495 Telegram ranks this channel #10 of 69 here — alongside 68 others — read 23 September 2026
Хауди Хо - IT юмор, жизнь программиста @howdyho_official · 77,979 Telegram ranks this channel #27 of 90 here — alongside 89 others — read 18 August 2026
Коннор @connorwow · 94,780 Telegram ranks this channel #27 of 62 here — alongside 61 others — read 18 August 2026
Unity & Unreal | GameDev @unity_gamedev_unreal · 32,602 Telegram ranks this channel #28 of 76 here — alongside 75 others — read 4 September 2026
The ExtremeCode Times @extremecode · 35,705 Telegram ranks this channel #32 of 93 here — alongside 92 others — read 2 September 2026
Crypto Homer @HomerAndCrypto · 385,500 Telegram ranks this channel #36 of 71 here — alongside 70 others — read 19 August 2026
Montana.exe @dejavu041 · 49,672 Telegram ranks this channel #48 of 80 here — alongside 79 others — read 25 August 2026
ZONE 51 @zone51_ru · 105,471 Telegram ranks this channel #51 of 59 here — alongside 58 others — read 16 August 2026
Отцы Экономики @economicfathers · 89,247 Telegram ranks this channel #67 of 68 here — alongside 67 others — read 17 August 2026
Alek OS @Alek_OS · 32,400 Telegram ranks this channel #73 of 95 here — alongside 94 others — read 4 September 2026
Дынька ;3 @Denichann · 19,467 Telegram ranks this channel #74 of 81 here — alongside 80 others — read 1 October 2026
амоБлог @amoblog · 30,920 Telegram ranks this channel #82 of 91 here — alongside 90 others — read 9 September 2026
Python Developer @python_tg · 21,215 Telegram ranks this channel #85 of 85 here — alongside 84 others — read 25 September 2026
XOR @xor_journal · 200,566 Telegram ranks this channel #91 of 93 here — alongside 92 others — read 12 August 2026
This channel appears in 14 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 28 October 2026 — this
entry's latest reading, not the date you are reading this.
“Роман Сакутин” (@sakutin_csharp), 70,682 subscribers as measured 28 October 2026. Telegram Register, tgregister.com/channel/sakutin_csharp.
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.