Telegram RegisterThe public register of Telegram
Telegram profile photo for Книги для программистов

Channel

Книги для программистов

@progbook

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

139,614subscribers

-726 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1001135553470
TypeChannel
Username@progbook
Created8 September 2017measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live9 September 2026
Measurements held30
Confirmed unchanged1 time, most recently 9 September 2026
On Telegramt.me/progbook

Topic

Education — 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 9 August 2026 and assigned it the closest of 31 fixed categories, at 60% 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 why it has no browse page of its own yet.

Growth

139,614140,340139,9776 August 2026 — 140,340 subscribers6 August 2026 — 140,340 subscribers7 August 2026 — 140,329 subscribers8 August 2026 — 140,306 subscribers9 August 2026 — 140,271 subscribers10 August 2026 — 140,250 subscribers11 August 2026 — 140,232 subscribers12 August 2026 — 140,219 subscribers13 August 2026 — 140,186 subscribers14 August 2026 — 140,157 subscribers16 August 2026 — 140,147 subscribers17 August 2026 — 140,132 subscribers18 August 2026 — 140,101 subscribers19 August 2026 — 140,090 subscribers20 August 2026 — 140,035 subscribers21 August 2026 — 140,018 subscribers23 August 2026 — 139,989 subscribers24 August 2026 — 139,942 subscribers26 August 2026 — 139,920 subscribers27 August 2026 — 139,911 subscribers28 August 2026 — 139,905 subscribers28 August 2026 — 139,901 subscribers29 August 2026 — 139,879 subscribers30 August 2026 — 139,861 subscribers31 August 2026 — 139,834 subscribers1 September 2026 — 139,821 subscribers2 September 2026 — 139,806 subscribers4 September 2026 — 139,715 subscribers6 September 2026 — 139,678 subscribers9 September 2026 — 139,614 subscribers6 August 20269 September 2026
30 measurements spanning 35 days, net -726. 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 139,505–140,449 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 30
Measured (UTC)SubscribersChange
9 Sept 2026, 20:17139,614-64
6 Sept 2026, 14:22139,678-37
4 Sept 2026, 05:40139,715-91
2 Sept 2026, 19:55139,806-15
1 Sept 2026, 18:12139,821-13
31 Aug 2026, 19:57139,834-27
30 Aug 2026, 22:25139,861-18
29 Aug 2026, 23:07139,879-22
28 Aug 2026, 23:06139,901-4
28 Aug 2026, 02:34139,905-6
27 Aug 2026, 00:17139,911-9
26 Aug 2026, 02:33139,920-22
24 Aug 2026, 22:58139,942-47
23 Aug 2026, 12:05139,989-29
21 Aug 2026, 20:18140,018-17
20 Aug 2026, 16:37140,035-55
19 Aug 2026, 13:54140,090-11
18 Aug 2026, 16:04140,101-31
17 Aug 2026, 13:13140,132-15
16 Aug 2026, 05:19140,147first reading

Engagement

51 posts held, back to 26 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 73 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
9.16%
avg views ÷ 139,614 subscribers
Avg views / post
12,800
28 posts measured
Reaction rate
0.202%
reactions ÷ views · ER floor
Posts in window
28
of 51 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 9 September 2026
Posts held51 (26 July 20269 September 2026)
Views total358,200
Reactions total725
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken9 Sept 2026, 16:16 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.

Reaction mix

933 reactions across 49 posts, in 17 distinct kinds. The most used accounts for 30.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
28230.2%
😁20922.4%
👍15516.6%
🌚10411.1%
🔥687.29%
🥱545.79%
❤‍🔥151.61%
👏101.07%
😢90.965%
🤔60.643%
🥰50.536%
👾40.429%
30.322%
🙏30.322%
🤩30.322%
😍20.214%
💯10.107%

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 50 of the 51 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 948 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 51 most recent posts we hold, published 26 July 2026 to 9 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.

Telegram Stars

Stars received
3
across the posts below
Posts paid on
1
of 51 we hold a reading for · 2%
Most on one post
3
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @progbook. 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 51 most recent posts we hold for this entry, published 26 July 2026 to 9 September 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

9 Sept 2026, 12:40 UTC≈2,750 views5 reactionsread 9 September 2026
Photo

📕 System Design On AWS Building And Scaling Enterprise Solutions (2025) Практическое руководство по проектированию и масштабированию корпоративных систем в AWS — с разбором сервисов, архитектурных решений и компромиссов. ❓ Что внутри: — Основы и best practices системного дизайна — Ключевые AWS-сервисы и их ограничения — Архитектурные паттерны для больших систем — Масштабируемость, отказоустойчивость и эксплуатация

5

8 Sept 2026, 14:16 UTC≈5,070 views12 reactionsread 9 September 2026
Photo

📕 The Design of Everyday Things (2013) Книга о человеко-ориентированном дизайне и о том, почему одни продукты понятны без инструкций, а другие заставляют пользователя ошибаться. ❓ Что внутри: — Как дизайн учитывает потребности и возможности человека — Влияние когнитивной психологии на интерфейсы — Видимость элементов и понятные связи между управлением и функциями — Ограничения, которые помогают направить пользоват

9👍3

7 Sept 2026, 09:27 UTC≈5,890 views10 reactionsread 9 September 2026
Photo

📕 React Key Concepts: An in-depth guide to React's core features (2025) Практическое руководство по ключевым возможностям React 19 — от компонентов и состояния до Server Components и full-stack приложений на Next.js. ❓ Что внутри: — Компоненты, JSX и props — События, состояние и условный рендеринг — Стилизация и работа с формами — Context API и сложное состояние — React Router — Custom Hooks и побочные эффекты — О

👍64

5 Sept 2026, 14:01 UTC≈7,100 views13 reactionsread 9 September 2026
Photo

📕 Effective Kafka: A Hands-On Guide to Building Robust and Scalable Event-Driven Applications with Code Examples in Java (2020) Практическое руководство по Apache Kafka и Event-Driven Architecture — от базовых концепций до построения и эксплуатации масштабируемых систем. ❓ Что внутри: — Основы Event-Driven Architecture и event streaming — Архитектура Kafka: partitioning, parallelism, ordering и consistency — Развё

9❤‍🔥2👍2

5 Sept 2026, 08:10 UTC≈7,120 views10 reactionsread 9 September 2026
Photo

🤩 Лето кончилось, а разраб так и не доехал до отпуска — застрял в собственном бардаке Есть игра, где можно ему помочь разгрестись и найти промокод на скидку на все курсы Proglib Academy. Плюс другие плюшки. Промокод для курсов продлили до 15го сентября! 😂

6👍2😁2

5 Sept 2026, 07:31 UTC≈6,680 views10 reactionsread 9 September 2026
Photo

📕Kubernetes: Up and Running: Dive into the Future of Infrastructure (2022) Практическое руководство по Kubernetes — от первого кластера до развёртывания и управления распределёнными приложениями в облаке. ❓ Что внутри: — Как устроен Kubernetes и зачем он нужен — Создание и настройка первого кластера — Развёртывание приложений — DaemonSets, Jobs, ConfigMaps и Secrets — Deployment и управление жизненным циклом прило

7👍3

3 Sept 2026, 11:11 UTC≈8,510 views19 reactionsread 9 September 2026
Photo

📕 A Philosophy of Software Design, 2nd Edition (2021) Джон Оустерхут предлагает смотреть на software design не через паттерны и фреймворки, а через более фундаментальный вопрос: как разбивать сложную систему на модули, чтобы с ней было проще работать. ❓ Что внутри: — управление сложностью как главная задача дизайна — декомпозиция систем на модули, классы и методы — принципы хорошего software design — подходы к про

17🌚2

2 Sept 2026, 20:41 UTC≈13,900 views346 reactions3 Starsread 9 September 2026

✍️ Михаил Шуфутинский печатает

😁148🌚99🥱41🔥29❤‍🔥11👍95😢4

2 Sept 2026, 08:30 UTC≈13,200 views48 reactionsread 9 September 2026
Photo

📕 Android Smartphones For Seniors For Dummies (2021) Автор Марша Коллиер разбирает Android с максимально практичной стороны: только те функции, которые действительно пригодятся в повседневной жизни. ❓ Что внутри: — сообщения, звонки и приложения для общения — фото и видео — музыка, фильмы, радио и подкасты — организация дел и напоминаний — настройки приватности и безопасности — полезные функции Android, о которых

😁376👏3🥱2

1 Sept 2026, 07:07 UTC≈11,200 views13 reactionsread 9 September 2026
Photo

📕 Working in Public: The Making and Maintenance of Open Source Software (2020) Автор разбирает, как за последние 20 лет изменился open source: от командной разработки к проектам, которые часто держатся на одном авторе и его аудитории. ❓ Что внутри: — как устроены GitHub-проекты и open source-сообщества — роли, мотивация и отношения между участниками — почему поддержка проекта может быть сложнее его создания — скры

11👏2

31 Aug 2026, 12:02 UTC≈9,200 views9 reactionsread 9 September 2026
Photo

🤩 Просыпайтесь, разрабы, пора в отпуск! В новой мини-игре от Типичного программиста соберите в отпуск уставшего разработчика и помогите ему отдохнуть. ⬆️ Будьте внимательны: найдите ⬆️ пасхалочки, ловите ⬆️ промо-коды от партнёров ⬆️ и пройдите все уровни ⚡️ Главный бонус — промокод со скидкой 15% на все курсы Proglib Academy до 15.09!

5😢2👍1🔥1

31 Aug 2026, 10:50 UTC≈8,320 views16 reactionsread 9 September 2026
Photo

📕 Python Illustrated: Not another boring Python book, learn programming the fun way (2026) Книга объясняет основы через иллюстрации, юмор и небольшие практические задания. В роли проводника — кот, а за компанию в обучении отвечает такса. ❓ Что внутри: — переменные и типы данных — условия, циклы и коллекции — функции — файлы и исключения — ООП и наследование — отладка кода — мини-проекты и упражнения Хороший вариа

🔥104🌚2

Showing the 12 most recent of 51 posts we hold for @progbook. 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.

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 9 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.

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 9 September 2026 — this entry's latest reading, not the date you are reading this.

“Книги для программистов” (@progbook), 139,614 subscribers as measured 9 September 2026. Telegram Register, tgregister.com/channel/progbook.

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.