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Channel

Prog books

@frontendbooksit

On this record: Topic · Growth · Engagement · What this channel posts · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

12,669subscribers

-54 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001543970929
TypeChannel
Username@frontendbooksit
CreatedBetween 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live17 September 2026
Measurements held32
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/frontendbooksit

Topic

Education — 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 11 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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

12,66912,72312,6967 August 2026 — 12,723 subscribers7 August 2026 — 12,723 subscribers7 August 2026 — 12,720 subscribers8 August 2026 — 12,718 subscribers9 August 2026 — 12,715 subscribers10 August 2026 — 12,712 subscribers11 August 2026 — 12,711 subscribers12 August 2026 — 12,708 subscribers14 August 2026 — 12,706 subscribers15 August 2026 — 12,704 subscribers16 August 2026 — 12,705 subscribers17 August 2026 — 12,700 subscribers19 August 2026 — 12,694 subscribers20 August 2026 — 12,693 subscribers21 August 2026 — 12,691 subscribers22 August 2026 — 12,694 subscribers24 August 2026 — 12,696 subscribers25 August 2026 — 12,695 subscribers26 August 2026 — 12,685 subscribers27 August 2026 — 12,689 subscribers28 August 2026 — 12,685 subscribers29 August 2026 — 12,679 subscribers30 August 2026 — 12,677 subscribers1 September 2026 — 12,694 subscribers2 September 2026 — 12,695 subscribers4 September 2026 — 12,698 subscribers6 September 2026 — 12,699 subscribers9 September 2026 — 12,684 subscribers12 September 2026 — 12,679 subscribers14 September 2026 — 12,676 subscribers15 September 2026 — 12,672 subscribers17 September 2026 — 12,669 subscribers7 August 202617 September 2026
32 measurements spanning 42 days, net -54. 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 12,661–12,731 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 32
Measured (UTC)SubscribersChange
17 Sept 2026, 21:2012,669-3
15 Sept 2026, 17:5712,672-4
14 Sept 2026, 00:4012,676-3
12 Sept 2026, 04:2012,679-5
9 Sept 2026, 18:1512,684-15
6 Sept 2026, 12:4212,699+1
4 Sept 2026, 05:0012,698+3
2 Sept 2026, 17:5612,695+1
1 Sept 2026, 17:2612,694+17
30 Aug 2026, 13:1112,677-2
29 Aug 2026, 11:5312,679-6
28 Aug 2026, 10:4312,685-4
27 Aug 2026, 10:5812,689+4
26 Aug 2026, 14:1212,685-10
25 Aug 2026, 11:2912,695-1
24 Aug 2026, 07:5612,696+2
22 Aug 2026, 13:3612,694+3
21 Aug 2026, 03:3412,691-2
20 Aug 2026, 04:3312,693-1
19 Aug 2026, 02:4712,694first reading

Engagement

21 posts held, back to 1 May 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 48 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.90%
avg views ÷ 12,669 subscribers
Avg views / post
748
1 post measured
Reaction rate
this channel exposes no reaction counts
Posts in window
1
of 21 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 26 August 2026
Posts held21 (1 May 202626 August 2026)
Views total748
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Sept 2026, 21:17 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 04s
Average length
32s

Measured directly from 2 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.

Recent posts

26 Aug 2026, 10:34 UTC748 viewsread 2 September 2026
Photo

📚 Бесплатная книга по выпуклой оптимизации - 130 страниц "Convex Optimization: Algorithms and Complexity" - хорошее введение в алгоритмы выпуклой оптимизации и их вычислительную сложность. Внутри: * градиентные методы * ускоренные методы * субградиентная оптимизация * проксимальные алгоритмы * first-order methods * оценки скорости сходимости * сложность оптимизационных алгоритмов Полезно для ML, математики и тех,

22 Aug 2026, 13:00 UTC855 viewsread 2 September 2026
Photo

🔥 10 бесплатных книг для программистов, которые стоит сохранить в 2026 году Не старые PDF с давно умершими технологиями, а книги, которые до сих пор можно нормально читать и применять на практике. Все доступны легально и бесплатно онлайн. 1. The Rust Programming Language Официальная книга по Rust от команды языка. Ownership, borrowing, lifetimes, traits, concurrency, async и устройство типичной Rust-программы. Се

22 Aug 2026, 10:50 UTC716 viewsread 2 September 2026
Photo

🔥 Хочешь быстрее расти в IT? Хватит учиться в одиночку Окружение решает больше, чем кажется. Собрал папки и каналы, где можно быстрее влиться в нужное направление, следить за трендами и не вариться в своём пузыре. AI: t.me/ai_machinelearning_big_data Python: t.me/pythonl Linux: t.me/linuxacademiya Хакинг: t.me/linuxkalii DevOps: t.me/DevOPSitsec Docker: https://t.me/+90Z5TAyfuNU5YmRi Golang: t.me/Golang_google Rus

17 Aug 2026, 15:56 UTC≈1,110 viewsread 2 September 2026
Forwarded from @pythonlbooksPhoto

📚 Бесплатный 348-страничный учебник по Machine Learning для инженеров и исследователей Machine Learning: A First Course for Engineers and Scientists - полноценная книга от Cambridge University Press, которую авторы бесплатно выложили в виде pre-publication PDF для личного использования. Внутри: * supervised learning, k-NN и decision trees * linear/logistic regression и regularization * neural networks и deep learn

31 Jul 2026, 10:49 UTC≈1,720 viewsread 2 September 2026
Photo

Бесплатный учебник по математике — 850 страниц. «The Rising Sea: Foundations of Algebraic Geometry» Рави Вакила. Книга предлагает подробное введение в алгебраическую геометрию и множество упражнений, позволяющих учиться на практике. Требуется минимум предварительных знаний: необходимые инструменты вводятся по ходу материала — от теории категорий и пучков до коммутативной и гомологической алгебры. Подход построен

26 Jul 2026, 14:53 UTC≈1,740 viewsread 2 September 2026
Photo

Rust, который наконец становится понятным 🦀 Давно хочешь выучить Rust, но ownership, borrowing и lifetimes выглядят как отдельный вид боли? Этот курс проведёт тебя с самого начала до уровня, где ты уже пишешь реальные системные и сетевые программы. Ты разберёшь: Ownership → Borrowing → ошибки → коллекции → Generics → Traits → модули → тесты → сетевой код Никакого бесконечного чтения документации. После каждого ур

25 Jul 2026, 11:02 UTC≈1,520 viewsread 2 September 2026
Photo

📚 Бесплатный учебник по теории игр - 578 страниц Game Theory от Giacomo Bonanno — большой open-source учебник по некооперативной теории игр. Внутри: * основы теории игр и стратегического взаимодействия; * равновесия и принятие решений; * 165 задач с решениями; * 163 иллюстрации; * материал на стыке математики, экономики и Computer Science. Хорошая база для тех, кто занимается ML, Multi-Agent Systems, математикой

19 Jul 2026, 13:31 UTC≈1,810 viewsread 2 September 2026
Photo

698 страниц математики, которые учат не считать, а думать Есть бесплатный PDF-учебник Everything You Always Wanted To Know About Mathematics — большой гид по абстрактной математике, теоремам и написанию доказательств. Это не очередной сборник формул, а вход в настоящий математический язык: * что такое доказательство * как читать и писать математические тексты * логика и множества * индукция * абстрактное мышление

19 Jul 2026, 11:31 UTC≈1,210 viewsread 2 September 2026
Photo

🔥 Хочешь быстрее расти в IT? Хватит учиться в одиночку В IT прокачивается тот, кто каждый день видит сильные идеи, новые инструменты, реальные задачи, вакансии и разборы. Окружение решает больше, чем кажется. Собрал папки и каналы, где можно быстрее влиться в нужное направление, следить за трендами и не вариться в своём пузыре. AI: t.me/ai_machinelearning_big_data Python: t.me/pythonl Linux: t.me/linuxacademiya Х

17 Jul 2026, 10:49 UTC≈1,500 viewsread 2 September 2026
Photo

Maths, CS & AI Compendium: бесплатный учебник для будущих AI/ML-инженеров На GitHub завирусился большой open-source компедиум по математике, computer science и AI. Сейчас у проекта уже около 6.3K звёзд. Автор позиционирует его как «нестандартный учебник» для практиков: меньше сухой нотации, больше интуиции, связей между темами и реального контекста. Внутри 20 глав: * векторы, матрицы, calculus * статистика и веро

8 Jul 2026, 01:40 UTC≈2,020 viewsread 2 September 2026
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Algebra, Topology, Differential Calculus, and Optimization Theory For Computer Science and Machine Learning Недавно был обновлен огромный PDF-учебник по математике на 2204 страницы: Внутри - алгебра, топология, дифференциальное исчисление и теория оптимизации для Computer Science и Machine Learning. Найти можно здесь: https://cis.upenn.edu/~jean/gbooks/geomath.html

23 Jun 2026, 16:54 UTC≈2,430 viewsread 2 September 2026
Video

🖥 Обито учит контейнеризации. Контейнер - это отдельное измерение для приложения. Запускаешь сервис через Docker — и он не ломает основную систему. Хочешь понять, что происходит внутри? Смотри логи и заходи в контейнер через shell. Если сервисов несколько, используй Docker Compose. Одна команда поднимает приложение, базу данных и кеш. А важные данные храни в volume. Контейнер можно удалить, но данные должны остат

Showing the 12 most recent of 21 posts we hold for @frontendbooksit. 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

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

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.

Python learning
@python3learning · 22,613
Telegram ranks this channel #56 of 71 here — alongside 70 others — read 20 September 2026
Remote Jobs — Daily LinkedIn Picks 💼
@Jobs204 · 22,479
Telegram ranks this channel #70 of 80 here — alongside 79 others — read 20 September 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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“Prog books” (@frontendbooksit), 12,669 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/frontendbooksit.

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.