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Channel

IT курсы / Программирование / ИИ / ИБ

@hacckingbook

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

11,914subscribers

-25 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001286730866
TypeChannel
Username@hacckingbook
DescriptionОгромная подборка курсов по всем языкам программирования, ИБ, ИИ, как для новичков так и для профи! Связь - @adm1nLH @LifeHackmedia РКН: https://clck.ru/3GLmrB #курсы #программирование #разработка
Created10 May 2020measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live4 September 2026
Measurements held24
Confirmed unchanged2 times, most recently 4 September 2026
On Telegramt.me/hacckingbook

Growth

11,91211,94111,926.56 August 2026 — 11,939 subscribers6 August 2026 — 11,939 subscribers6 August 2026 — 11,940 subscribers7 August 2026 — 11,941 subscribers8 August 2026 — 11,938 subscribers9 August 2026 — 11,937 subscribers10 August 2026 — 11,941 subscribers13 August 2026 — 11,938 subscribers17 August 2026 — 11,939 subscribers18 August 2026 — 11,935 subscribers19 August 2026 — 11,934 subscribers20 August 2026 — 11,931 subscribers21 August 2026 — 11,926 subscribers23 August 2026 — 11,927 subscribers24 August 2026 — 11,921 subscribers25 August 2026 — 11,920 subscribers26 August 2026 — 11,922 subscribers27 August 2026 — 11,925 subscribers28 August 2026 — 11,921 subscribers29 August 2026 — 11,923 subscribers30 August 2026 — 11,922 subscribers31 August 2026 — 11,916 subscribers1 September 2026 — 11,912 subscribers2 September 2026 — 11,914 subscribers11,9146 August 20262 September 2026
24 measurements spanning 28 days, net -25. 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 11,908–11,945 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 24
Measured (UTC)SubscribersChange
2 Sept 2026, 23:0811,914+2
1 Sept 2026, 19:0511,912-4
31 Aug 2026, 18:0311,916-6
30 Aug 2026, 19:4511,922-1
29 Aug 2026, 21:0411,923+2
28 Aug 2026, 21:4811,921-4
27 Aug 2026, 23:3411,925+3
26 Aug 2026, 22:4511,922+2
25 Aug 2026, 21:4211,920-1
24 Aug 2026, 21:4211,921-6
23 Aug 2026, 05:3811,927+1
21 Aug 2026, 15:4311,926-5
20 Aug 2026, 13:3611,931-3
19 Aug 2026, 13:2311,934-1
18 Aug 2026, 12:1611,935-4
17 Aug 2026, 11:3311,939+1
13 Aug 2026, 03:2411,938-3
10 Aug 2026, 11:3011,941+4
9 Aug 2026, 14:1211,937-1
8 Aug 2026, 14:2011,938first reading

Engagement

69 posts held, back to 27 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 49 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.97%
avg views ÷ 11,914 subscribers
Avg views / post
473
44 posts measured
Reaction rate
1.63%
reactions ÷ views · ER floor
Posts in window
44
of 69 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 2 September 2026
Posts held69 (27 July 20262 September 2026)
Views total20,827
Reactions total339
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Sept 2026, 00:27 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
2,040
Videos
1
Links
2,800

Lifetime counters from Telegram’s own channel header, read 3 September 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.

Reaction mix

506 reactions across 65 posts, in 9 distinct kinds. The most used accounts for 35.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
18135.8%
🔥16733.0%
👍9218.2%
🤝6011.9%
🎉20.395%
👎10.198%
👏10.198%
💩10.198%
🤔10.198%

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 69 of the 69 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 541 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 69 most recent posts we hold, published 27 July 2026 to 2 September 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.

Recent posts

2 Sept 2026, 12:15 UTC227 views4 reactionsread 3 September 2026
Photo

Курс «Deep Security» #курс #ИБ #DDoS #криптография Бесплатный курс от Beeline Cloud, целиком про защиту: криптография и TLS, сетевая конфигурация и кластеры, анализ трафика через NTA, network forensics, защита от DDoS. Есть демо-разделы с настройкой правил и блокировкой атак на уязвимое приложение — не только теория. Смотреть курс LH | IT Курсы | OSINT

2👍1🔥1

1 Sept 2026, 12:15 UTC321 views5 reactionsread 3 September 2026
Photo

Современные LLM #курс #ИИ #LLM Курс посвящен очень популярной сегодня теме - большим языковым моделям (Large Language Models или LLM). Действительно, современные чат-боты на базе LLM (ChatGPT, Gemini, Gigachat, DeepSeek, YandexGPT и другие) впечатляют нас своими ответами, и многие уже на повседневной основе пользуются этими помощниками. В курсе мы погрузимся в то, как работают большие языковые модели - в теории и

2👍2🔥1

31 Aug 2026, 15:18 UTC347 views7 reactionsread 3 September 2026
Photo

#статья #React ⭐️ Пишем свой React: Fiber, хуки и рендеринг под капотом Каждый день мы пишем JSX и используем хуки. Но как это работает под капотом? Чтобы разобраться, мы с нуля напишем собственную версию React. За основу мы возьмем отличный туториал Didact, но пойдем дальше: переведем все на TypeScript, добавим поддержку Фрагментов, реализуем useEffect и useContext. К концу стать React превратится для вас в понятн

🔥32🤝2

31 Aug 2026, 10:12 UTC368 views7 reactionsread 3 September 2026
Photo

#курс #Python ▶️Курс «Основы Python и создание ИИ-приложений» Мини-курс охватывает базовые конструкции Python: типы данных, списки, словари, функции, классы. Затем переходит к практике ИИ: вызов LLM, обработка ошибок, чат-бот с памятью, работа с файлами и API, FastAPI и базы данных. В конце вы соберёте итоговый проект. Смотреть курс LH | IT Курсы | OSINT

🔥32👍2

30 Aug 2026, 16:37 UTC374 views5 reactionsread 3 September 2026
Photo

#статья #C ⭐️ Создаём DSL на C#: LSP и поддержка в Visual Studio Для Visual Studio Code я сделал Language Server Protocol, а для Visual Studio отдельную интеграцию через MEF и Visual Studio SDK. По пути пришлось разобраться с синхронизацией документов, версиями текста, immutable snapshots, MSBuild, file watchers и выполнением editor requests. В этой части разберём, как устроены обе интеграции и какие проблемы появи

3🔥2

29 Aug 2026, 15:18 UTC394 views9 reactionsread 3 September 2026
Photo

#статья #Kubernetes ⭐️ Как мы победили OOMKill и сэкономили треть ресурсов: настройка JVM в Kubernetes Расскажу о проблемах, с которыми мы столкнулись, когда переехали в Kubernetes, как мы их порешали и как в итоге оптимизировали ресурсы при работе в виртуализации. Если вы хоть раз ловили OOMKilled на ровном месте и не понимали за что, может быть, узнаете себя. Спойлер: в финале мы сократили потребление памяти на 1

4👍3🔥2

29 Aug 2026, 09:12 UTC385 views8 reactionsread 3 September 2026
Photo

#курс #Go ▶️Курс «Без этих знаний твой Go-вайбкод положит прод» Разбираем пакет sync изнутри: WaitGroup, Once, Mutex и RWMutex. Сравниваем наивные реализации с настоящими примитивами Go: Go Memory Model, happens-before, очереди рантайма, handoff и starvation mode. В конце решаем задачу с собеседования VK и обсуждаем sync.Cond, sync.Map и sync.Pool. Смотреть курс LH | IT Курсы | OSINT

3👍3🔥2

27 Aug 2026, 15:18 UTC467 views8 reactionsread 3 September 2026
Photo

#статья #Python ⭐️ Как вернуть радость простого программирования: пишем игру для терминала на Python Сегодня простую компьютерную игру можно собрать за несколько минут: взять готовый движок, подключить библиотеку или просто попросить ИИ написать код. Но мне захотелось вернуться к истокам и попробовать обойтись самым минимумом средств. В этой статье попробую написать автомобильные гонки примерно в 50 строк кода на P

3🔥3🤝2

27 Aug 2026, 09:12 UTC440 views9 reactionsread 3 September 2026
Photo

#курс #Python ▶️Курс «Библиотека Python FastAPI в одном видео для начинающих» Полный курс по FastAPI с нуля. Вы изучите все концепции библиотеки и научитесь создавать веб-сайты. Курс охватывает всю необходимую информацию. Смотреть курс LH | IT Курсы | OSINT

4🔥3🤝2

26 Aug 2026, 15:18 UTC452 views7 reactionsread 3 September 2026
Photo

#статья #TypeScript ⭐️ Управляемые корутины в TypeScript: как получить контроль над асинхронностью и памятью. Разбираемся во всех аспектах В этой статье мы разберём, как кооперативные корутины (Coroutines) на генераторах решают эти задачи, и научимся на примере моей библиотеки ts‑adaptive‑coroutines, разобрав каждый аспект по кирпичикам, посмотрев на инструмент, который добавляет в TypeScript адаптивные приоритеты,

3🔥2🤝2

26 Aug 2026, 09:12 UTC441 views7 reactionsread 3 September 2026
Photo

#курс #MD5 ▶️Курс «MD5 на чистом Bash» Разбираемся, как устроен алгоритм MD5, и пишем его на чистом Bash. Параллельно осваиваем TDD и работу с битами. В итоге получаем рабочий хеш без единой внешней утилиты. Смотреть курс LH | IT Курсы | OSINT

👍32🔥2

25 Aug 2026, 15:18 UTC437 views7 reactionsread 3 September 2026
Photo

#статья #React ⭐️ Глубокое погружение в React Fiber Задумывались ли вы когда-нибудь о том, что на самом деле происходит под капотом, когда вы рендерите приложение React? Мы знаем, что React строит дерево DOM и отображает UI на экране, но как React конструирует это дерево и как он эффективно обновляет его при изменении состояния? В этой статье мы рассмотрим React Fiber — основной движок согласования (reconciliation)

3🔥2🤝2

Showing the 12 most recent of 69 posts we hold for @hacckingbook. 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 4 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.

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.

Life-Hack - Хакер
@haccking · 63,216
Telegram ranks this channel #28 of 85 here — alongside 84 others — read 21 August 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list 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 2 September 2026 — this entry's latest reading, not the date you are reading this.

“IT курсы / Программирование / ИИ / ИБ” (@hacckingbook), 11,914 subscribers as measured 2 September 2026. Telegram Register, tgregister.com/channel/hacckingbook.

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.