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Channel

Кирилл Сачков

@sachkov_blog

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

6,226subscribers

+1,804 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-1001925677775
TypeChannel
Username@sachkov_blog
DescriptionПо всем вопросам - t.me/sachkova_mng Курс по AI Engineering - https://sachkov.dev/ Лайф канал - https://t.me/sachkovgeek
CreatedBetween 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live3 November 2026
Measurements held23
Confirmed unchanged1 time, most recently 3 November 2026
On Telegramt.me/sachkov_blog

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 13 September 2026 and assigned it the closest of 31 fixed categories, at 96% 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

4,4226,2265,3247 August 2026 — 4,422 subscribers7 August 2026 — 4,422 subscribers11 August 2026 — 4,451 subscribers14 August 2026 — 4,466 subscribers17 August 2026 — 4,476 subscribers20 August 2026 — 4,475 subscribers24 August 2026 — 4,487 subscribers27 August 2026 — 4,490 subscribers30 August 2026 — 4,496 subscribers2 September 2026 — 4,503 subscribers7 September 2026 — 4,511 subscribers12 September 2026 — 4,562 subscribers15 September 2026 — 4,668 subscribers28 September 2026 — 4,876 subscribers5 October 2026 — 5,088 subscribers12 October 2026 — 5,297 subscribers15 October 2026 — 5,380 subscribers18 October 2026 — 5,547 subscribers21 October 2026 — 5,683 subscribers25 October 2026 — 5,883 subscribers28 October 2026 — 6,034 subscribers31 October 2026 — 6,160 subscribers3 November 2026 — 6,226 subscribers7 August 20263 November 2026
23 measurements spanning 88 days, net +1,804. 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 4,151–6,497 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 23
Measured (UTC)SubscribersChange
3 Nov 2026, 07:546,226+66
31 Oct 2026, 11:206,160+126
28 Oct 2026, 10:306,034+151
25 Oct 2026, 00:055,883+200
21 Oct 2026, 15:305,683+136
18 Oct 2026, 02:275,547+167
15 Oct 2026, 09:015,380+83
12 Oct 2026, 00:015,297+209
5 Oct 2026, 17:175,088+212
28 Sept 2026, 12:574,876+208
15 Sept 2026, 12:384,668+106
12 Sept 2026, 03:364,562+51
7 Sept 2026, 13:014,511+8
2 Sept 2026, 19:364,503+7
30 Aug 2026, 10:124,496+6
27 Aug 2026, 03:324,490+3
24 Aug 2026, 06:494,487+12
20 Aug 2026, 22:174,475-1
17 Aug 2026, 16:544,476+10
14 Aug 2026, 16:044,466first reading

Engagement

35 posts held, back to 18 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 6 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
44.9%
avg views ÷ 6,226 subscribers
Avg views / post
2,790
19 posts measured
Reaction rate
1.01%
reactions ÷ views · ER floor
Posts in window
20
of 35 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 3 November 2026
Posts held35 (18 July 2026 – 3 November 2026)
Views total53,060
Reactions total535
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken4 Nov 2026, 00:47 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
286
Videos
7
Links
247

Lifetime counters from Telegram’s own channel header, read 4 November 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
1m 39s
Average length
1m 39s

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

1,211 reactions across 33 posts, in 13 distinct kinds. The most used accounts for 44.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥53944.5%
❤18014.9%
👍15012.4%
custom 536863527233235217312410.2%
custom 5408828168993811289534.38%
🐳514.21%
custom 5465178805637226937423.47%
custom 5456630424853812868322.64%
👏141.16%
custom 5201992409558293706100.826%
🤩60.495%
⚡50.413%
👌50.413%

Custom emoji. 5 of the rows above are 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 counts beside them are Telegram’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 33 of the 35 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 1,211 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 35 most recent posts we hold, published 18 July 2026 to 3 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
5
across the posts below
Posts paid on
4
of 33 we hold a reading for · 12%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @sachkov_blog. 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 35 most recent posts we hold for this entry, published 18 July 2026 to 3 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

3 Nov 2026, 14:22 UTC≈1,340 views15 reactionsread 4 November 2026
Photo

Многие спрашивали какую тулзу я использую для диктовки голосом, вот - Handy. Open source инструмент, который прекрасно работает, устанавливаете прямо в приложении локальную модель для транскрибация, я использую Parakeet v3 Всё прекрасно работает, супер минималистичная, понимает и русский и английские названия всякие. Если вы до этого её использовали, то не забудье обновить приложение и саму локальную модель, у них …

❤10🔥5

3 Nov 2026, 13:08 UTC≈1,570 views29 reactionsread 4 November 2026
Video

DeepSeek Harness развивается не хуже codex и claude Очень радует, что DeepSeek прокачивают свои модели, делают интересные исследования и конкретные open source инструменты, которые каждый может использовать каждый. Вот например их GUI приложение, где вы теперь можете с помощью Creator Mode создавать свои плагины и встраивать прямо в UI. Здесь собраные разные промпты, чтобы поиграться: https://cdn.deepseek.com/har…

🔥23❤4⚡2

3 Nov 2026, 11:51 UTC≈1,630 views13 reactionsread 4 November 2026

https://youtu.be/57B31PcHU4M?si=TvaHmeolbbiiLP34 Люблю иногда смотреть этого игрового разраба, часто все по фактам говорит

🔥8❤4🐳1

2 Nov 2026, 17:21 UTC≈1,920 views23 reactionsread 4 November 2026
Photo

Как DeepSeek предлагает организовать работу AI-агентов 😺 У команды DeepSeek вышла статья про Super-agent. Сделал небольшой разбор, потому что выстраивать такие системы, возможно, скоро придётся и нам самим. Сегодня многие разработчики пытаются уменьшить количество ручной работы при использовании агентов. Но пока оркестратором часто остаётся сам человек: разбивает задачу, передаёт контекст между сессиями, проверяет …

🐳11👍7🔥5

2 Nov 2026, 13:58 UTC≈2,070 views21 reactionsread 4 November 2026

⚡️ Курс AI Engineer объявляется открытым 🚀 Собираю свой опыт разработки с AI-агентами в понятную систему с практикой, общением и моим менторингом. 🎉 Почему я делаю этот курс 🤔 Агенты берут на себя всё больше работы с кодом. Поэтому особенно важны инженерные навыки, работа с требованиями, архитектурой, бизнес-логикой, инфраструктурой и качеством продукта. Я вижу, как сближаются роли разработчика, инженера и продакт…

custom 53686352723323521739🔥8custom 54651788056372269374

1 Nov 2026, 16:01 UTC≈2,440 views33 reactionsread 4 November 2026
Photo

Claude решает задачи лучше кандидатов, и менеджер Anthropic отказался от собеседований по программированию 💭 Феликс Ризеберг, инженерный менеджер Anthropic, убрал задания на программирование из своего процесса найма. Он говорит следующее: Claude уже хорошо решает такие задачи, а результаты кандидатов всё меньше говорят о том, насколько полезными инженерами они будут. Полноценную замену он ещё ищет и изучает прототи…

custom 536863527233235217317❤8👍8

30 Oct 2026, 19:58 UTC≈2,830 views36 reactionsread 4 November 2026
Photo

Думайте.

custom 546517880563722693735🐳1

30 Oct 2026, 17:20 UTC≈2,920 views40 reactionsread 4 November 2026
Photo

Многие не поняли мою позицию относительно технических знаний и навыков, либо я не так хорошо её выразил. Я никогда не говорил, что вам не нужны хард скиллы и что можно забить на это всё и прекрасно довериться нейронке, которая всё за вас сделает. Моя позиция в том, что сегодня именно навык написания кода полностью становиться бесполезным и гораздо больше цениться понимание бизнес логики, доменной области, инфраструк…

🔥22👍10custom 53686352723323521738

30 Oct 2026, 15:37 UTC≈2,730 views42 reactionsread 4 November 2026
Photo

🤹 Открыл бесплатные уроки по работе с AI-агентами Первые уроки моего курса уже доступны на платформе. Посмотреть их может каждый. Разбираем, как выбрать агента и модель, подготовить проект и начать работу. Также показываю, как я начинаю работать с агентами, как провожу стадию проектирования, определяю границы проекта и MVP Если хотели попробовать разработку с AI-агентом или познакомиться с моей подачей, заходите. …

👍30❤10custom 53686352723323521732

30 Oct 2026, 14:38 UTC≈2,650 views23 reactionsread 4 November 2026
Photo

Собрал немного статы по РФ на HH и увидел то, что и ожидал. То чуство когда AI инженер уже догоняет или начинает обгонять c#, java, go и другие яп разработки на HH. Раньше многие бы посмеялись, если бы услышали это. Ребят, тренд видно. ЯП абсолютно не имеет значения. Скоро все вакансии будут software engineer, backend developer, ai engineer и так далее. Очевидно куда идёт рынок и что сливания разработки и бизнеса вс…

🔥15❤7⚡1

30 Oct 2026, 11:25 UTC≈3,050 views47 reactionsread 4 November 2026
Photo

Claude нашел критическую уязвимость в ядре Linux за 53 минуты: эксплойт позволял удаленно выполнять команды с root-правами. Он получил 9,8/10 баллов опасности и был в коде с 2016 года. Благодаря нему хакеры могут отправлять пакеты на Linux-серверы и выполнять разные команды. И всё это без учётных данных и взаимодействий с пользователем Даже не знаю, что посоветовать, не используйте интернет, если хотите обезопасить…

custom 536863527233235217331custom 540882816899381128912🐳4

Showing the 12 most recent of 35 posts we hold for @sachkov_blog. 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

Names

Channels on the register whose handles appear in this channel's posts.

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 3 November 2026 — this entry's latest reading, not the date you are reading this.

“Кирилл Сачков” (@sachkov_blog), 6,226 subscribers as measured 3 November 2026. Telegram Register, tgregister.com/channel/sachkov_blog.

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.