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Channel

Миша HinkoK

@BlogHinkoK

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry

8,661subscribers

+3,727 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001728519821
TypeChannel
Username@BlogHinkoK
DescriptionМой блог, AI, самосовершенствование и ещё много всего интересного! Писать по сотрудничеству: @h1nkok
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live10 November 2026
Measurements held26
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/BlogHinkoK

Topic

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 12 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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

4,9348,6616,797.57 August 2026 — 4,934 subscribers7 August 2026 — 4,940 subscribers10 August 2026 — 5,000 subscribers13 August 2026 — 5,065 subscribers16 August 2026 — 5,176 subscribers19 August 2026 — 5,253 subscribers22 August 2026 — 5,305 subscribers25 August 2026 — 5,334 subscribers28 August 2026 — 5,402 subscribers1 September 2026 — 5,438 subscribers4 September 2026 — 5,483 subscribers9 September 2026 — 5,578 subscribers13 September 2026 — 5,585 subscribers16 September 2026 — 5,590 subscribers1 October 2026 — 6,103 subscribers8 October 2026 — 6,347 subscribers13 October 2026 — 6,435 subscribers17 October 2026 — 6,672 subscribers20 October 2026 — 6,944 subscribers22 October 2026 — 7,271 subscribers26 October 2026 — 7,423 subscribers29 October 2026 — 7,517 subscribers31 October 2026 — 7,558 subscribers3 November 2026 — 7,657 subscribers6 November 2026 — 8,322 subscribers10 November 2026 — 8,661 subscribers7 August 202610 November 2026
26 measurements spanning 96 days, net +3,727. 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 4,375–9,220 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)SubscribersChange
10 Nov 2026, 22:198,661+339
6 Nov 2026, 22:178,322+665
3 Nov 2026, 20:207,657+99
31 Oct 2026, 21:367,558+41
29 Oct 2026, 05:487,517+94
26 Oct 2026, 08:367,423+152
22 Oct 2026, 23:567,271+327
20 Oct 2026, 01:196,944+272
17 Oct 2026, 08:386,672+237
13 Oct 2026, 22:566,435+88
8 Oct 2026, 08:546,347+244
1 Oct 2026, 17:206,103+513
16 Sept 2026, 21:415,590+5
13 Sept 2026, 00:175,585+7
9 Sept 2026, 11:205,578+95
4 Sept 2026, 06:195,483+45
1 Sept 2026, 01:485,438+36
28 Aug 2026, 19:445,402+68
25 Aug 2026, 12:445,334+29
22 Aug 2026, 20:335,305first reading

Engagement

38 posts held, back to 27 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 29 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
34.4%
avg views ÷ 8,661 subscribers
Avg views / post
2,980
23 posts measured
Reaction rate
1.58%
reactions ÷ views · ER floor
Posts in window
23
of 38 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
WindowRolling 30 days · latest post in window 12 November 2026
Posts held38 (27 July 2026 – 12 November 2026)
Views total68,620
Reactions total1,084
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Nov 2026, 13:26 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
≈1,850
Videos
≈375
Links
≈433

Lifetime counters from Telegram’s own channel header, read 13 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
5m 22s
Average length
54s

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

1,543 reactions across 38 posts, in 14 distinct kinds. The most used accounts for 47.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥72747.1%
❤49332.0%
👍21513.9%
👏473.05%
😁251.62%
🐳80.518%
🥰60.389%
🙏50.324%
🤔50.324%
🏆40.259%
🎉30.194%
🕊20.13%
😍20.13%
⚡10.065%

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 38 of the 38 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 1,543 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 38 most recent posts we hold, published 27 July 2026 to 12 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
3
of 38 we hold a reading for · 8%
Most on one post
9
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @BlogHinkoK. 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 38 most recent posts we hold for this entry, published 27 July 2026 to 12 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: 4 of 23 posts held from the last 30 days (17.4%) 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).

12 Nov 2026, 15:04 UTC≈1,440 views30 reactionsread 13 November 2026

10 месяцев назад я вообще не понимал, как запустить агента После видео про челлендж мне написало много людей, с похожим вопросом: "Тебе легко, ты в этом шаришь. А как мне начать собирать AI-автоматизации без технического опыта?" И в начале этого года я был ровно там же, где сейчас многие из вас: ChatGPT я юзал давно с 22 года, но как обычный чат: спросил, получил ответ и закрыл его. А когда все вокруг начали говор…

❤16👍6🔥5🐳2🏆1

12 Nov 2026, 12:29 UTC≈1,660 views46 reactionsread 13 November 2026
Photo

Утречко с солнечного Лиссабона 🌅 Уже конечно не утро, но вот как я сегодня провел своё, ничего так не заряжает на продуктивный день, как спорт и общение. Рад, что вчерашний видос многим зашел, правда проделал большую работу над ним. Работы сейчас много, но несмотря на это не забываю поддерживать с тонусе тело и разум. Всем продуктивного дня!

❤24👍10🔥7🏆2🕊2😍1

11 Nov 2026, 14:42 UTC≈2,220 views41 reactionsread 13 November 2026
Photo

Сколько можно заработать на AI за 48 часов, если у тебя нет портфолио Это одно из самых интересных и немного стрессовых видео, которые я когда-либо снимал. Я завёл новый аккаунт, отказался от аудитории и всего, что наработал за этот год, и дал себе двое суток, чтобы найти реальный заказ, завайбкодить проект на Claude и получить за него деньги. В видео показал весь путь: ➡️ где искать заказы, если тебя никто не зна…

❤24🔥10👍4🎉2🙏1

10 Nov 2026, 13:22 UTC≈2,510 views86 reactionsread 13 November 2026
Video

Через 6 часов челленджа у меня было 34 отправленных сообщений и ноль заказов 🫠 На таймере оставалось 42 часа, и в какой-то момент я подумал, что проиграю этот челлендж. Как я решил вообще действовать: на фриланс биржи я даже не пошёл, потому что без кейсов и отзывов на новый аккаунт я навряд-ли смогу быстро найти себе заказ, учитывая дикую конкуренцию. Поэтому я пошёл в телеграм: в чаты, куда заказчики сами скидыв…

❤42👍25🔥19

9 Nov 2026, 19:26 UTC≈2,790 views93 reactionsread 13 November 2026
Photo

🌭Вышел Fable 5.2 Так и знал, что перед IPO Антропик выпустят свою самую мощную модель Mythos класса. Мало того, что их Opus 5.5 был самой мощной моделью последние 2 месяца, так они решили опередить конкурентов и выпустить Fable. Из изменений: ➡️ пишет понятнее, генерация токенов на 30% быстрее ➡️ на 20% дешевле 5.1 (8/40) по API ➡️ в два раза дороже доступен fast mode с генерацией в 2.5 раза быстрее ➡️ приводят нес…

🔥76❤10👍7

9 Nov 2026, 15:06 UTC≈2,820 views90 reactionsread 13 November 2026

Я бросил себе вызов 💻 Мне иногда пишут: "Тебе легко говорить, что на AI можно заработать, ведь у тебя уже есть аудитория, кейсы и клиенты, которые сами приходят" И в этом есть доля правды. Мне действительно проще, но значит ли это, что стартовать с нуля очень сложно? Ответ на этот вопрос я искал на прошлой неделе: решил проверить, что будет, если отказаться от всего вышеперечисленного. Я завёл новый тг аккаунт и п…

❤39🔥30👏16👍5

7 Nov 2026, 14:02 UTC≈3,140 views55 reactionsread 13 November 2026
Photo

Чем я занимаюсь, кроме блога? В канале вы в основном видите обзоры инструментов, тесты новых моделей и сборки проектов, но это только часть моей работы. Сейчас я развиваю 3 направления: Первое: два стартапа, в которых я работаю в core team, и внедряю AI в них. MVP одного из них, я собрал сам без разработчиков, и для меня это до сих пор самый большой проект, который я делал руками. Второе: AI-решения для бизнеса. …

❤29👍15🔥8👏2🐳1

6 Nov 2026, 14:10 UTC≈3,060 views31 reactionsread 13 November 2026
Photo

Как не сжигать лимиты в Claude В новом видео разобрал, что съедает лимиты в Клоде. Но всё в один ролик не поместилось, поэтому держите шпаргалку с дополнительными советами, которые помогут растянуть лимит ещё сильнее. Кстати, если вы вдруг сидите на Codex, то большая часть этих советов касается его тоже. Не ставьте эффорт на максимум Эффорт - это насколько интенсивно модель думает перед ответом. Думает она тоже з…

🔥22❤7🥰2

5 Nov 2026, 15:14 UTC≈2,990 views54 reactionsread 13 November 2026
Photo

Иногда лучше отказаться от хорошего ради великого Продолжаю немного вчерашний пост, так как увидел фидбек в комментах, что недостаточно раскрылся. В итоге я ушёл из крипты вначале года, хотя провёл там целых 4 года и в целом всё было нормально. Я всегда видел и заходил в тренд: сначала ферма аккаунтов в CS, потом крипта в 2021 году, где лучше всего у меня мне приносили деньги аирдропы и свои медиа. Но со временем …

❤32🔥12👍10

4 Nov 2026, 14:43 UTC≈3,360 views90 reactionsread 13 November 2026
Photo

Успех приходит, но не сразу Сейчас многие видят меня как успешного парня из Лиссабона, который шарит в нейронках и много путешествует. Мне 23, работаю я уже 9 лет, и путь сюда был очень непростой. Моя первая работа была в 14, я раздавал листовки на улице. В 15 устроился инструктором по каякам и копил с зарплаты на камеру Sony a6000. Купил её и завёл свой первый ютуб канал про заработок в стиме. И где-то после долг…

❤43🔥23👏19🐳3🏆1👍1

3 Nov 2026, 16:11 UTC≈3,300 views19 reactionsread 13 November 2026

Сделал для канала эмодзи-пак! 😍 Маскоты Codex и Claude, которых можно вставлять прям в сообщения и комменты. Добавляйте и юзайте, мне будет оч приятно увидеть их, а если есть идеи, каких эмодзи не хватает, пишите в комменты, добавлю ➡️ ссылка на пак Вот кстати мой любимый 🍺 И так же хочу рассказать тем, кто с нами недавно: у меня есть бот, который пишет, когда OpenAI сбрасывает лимиты в Codex. Присылает сообщения…

🔥12❤4👍3

3 Nov 2026, 14:05 UTC≈3,430 views60 reactions1 Starread 13 November 2026
Photo

Превратил 5 книг в скиллы для Claude и Codex Клод знает почти все известные книги про бизнес, продажи и тексты, но в работе их почти не применяет и выдаёт усреднённый ответ. Я нашёл инструмент book-to-skill, который превращает любую книгу в скилл, и после этого Клод начинает работать уже по правилам этой книги, и разница налицо. В новом видео я превратил в скиллы пять известных книг, от «Пиши Сокращай» до «Атомных …

🔥42❤12👏4🎉1🙏1

Showing the 12 most recent of 38 posts we hold for @BlogHinkoK. 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.

Mentions

Named by 2 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.

CRYPTON | Крипта, ИИ, Финансы
@crypton_off · 57,654
Telegram ranks this channel #81 of 85 here — alongside 84 others — read 22 August 2026
Павел Сычёв | $ TradeParty $
@tradeparty1337 · 55,075
Telegram ranks this channel #85 of 85 here — alongside 84 others — read 23 August 2026

This channel appears in 2 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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“Миша HinkoK” (@BlogHinkoK), 8,661 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/BlogHinkoK.

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.