Telegram RegisterThe public register of Telegram
Telegram profile photo for BugUser | Курсы, Программирование

Channel

BugUser | Курсы, Программирование

@BugUser

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

11,439subscribers

-45 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-1001485800733
TypeChannel
Username@BugUser
DescriptionТут публикуются лучшее материалы, которые вы не найдёте в интернете. Ссылка: @Portal_v_IT Сотрудничество, авторский права: @oleginc, @tatiana_inc Канал на бирже: hhttps://telega.in/c/BugUser РКН: clck.ru/3JaoN2
CreatedBetween 1 April 2019 and 30 September 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live25 August 2026
Measurements held14
Confirmed unchanged1 time, most recently 25 August 2026
On Telegramt.me/BugUser

Growth

11,43911,48511,4627 August 2026 — 11,484 subscribers7 August 2026 — 11,484 subscribers8 August 2026 — 11,485 subscribers9 August 2026 — 11,482 subscribers11 August 2026 — 11,481 subscribers12 August 2026 — 11,479 subscribers15 August 2026 — 11,477 subscribers17 August 2026 — 11,468 subscribers19 August 2026 — 11,462 subscribers20 August 2026 — 11,459 subscribers21 August 2026 — 11,454 subscribers23 August 2026 — 11,451 subscribers24 August 2026 — 11,441 subscribers25 August 2026 — 11,439 subscribers7 August 202625 August 2026
14 measurements spanning 18 days, net -45. 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 11,432–11,492 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
25 Aug 2026, 14:2211,439-2
24 Aug 2026, 16:0811,441-10
23 Aug 2026, 01:1311,451-3
21 Aug 2026, 16:1911,454-5
20 Aug 2026, 11:5811,459-3
19 Aug 2026, 09:3411,462-6
17 Aug 2026, 09:3411,468-9
15 Aug 2026, 16:3811,477-2
12 Aug 2026, 19:3711,479-2
11 Aug 2026, 18:3511,481-1
9 Aug 2026, 14:1211,482-3
8 Aug 2026, 12:0711,485+1
7 Aug 2026, 09:0511,484no change
7 Aug 2026, 03:1711,484first reading

Engagement

73 posts held, back to 31 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 38 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
2.44%
avg views ÷ 11,439 subscribers
Avg views / post
279
73 posts measured
Reaction rate
0.279%
reactions ÷ views · ER floor
Posts in window
73
of 73 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. It is computed over the 6 of 73 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 25 August 2026
Posts held73 (31 July 202625 August 2026)
Views total20,342
Reactions total5
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken26 Aug 2026, 06:11 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
3,590
Videos
12
Links
3,790

Lifetime counters from Telegram’s own channel header, read 26 August 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
4s
Average length
4s

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

5 reactions across 4 posts, in 2 distinct kinds. The most used accounts for 60.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
360.0%
👍240.0%

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 6 of the 73 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 5reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 73 most recent posts we hold, published 31 July 2026 to 25 August 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

25 Aug 2026, 16:07 UTC140 viewsread 26 August 2026
Photo

🧭 Efficient Node.js (2025) 💬 "Efficient Node.js" — книга о том, где именно Node теряет производительность и как это измерить, а не о том, как написать первый сервер. Рассчитана на бэкенд-разработчиков, у которых приложение уже в проде и упирается в задержки или потребление памяти; знание JavaScript и асинхронной модели предполагается. Практический результат — навык доказательной оптимизации: сначала профиль, потом п

25 Aug 2026, 11:07 UTC179 viewsread 26 August 2026
Photo

🧭 Think Stats: Exploratory Data Analysis, 3rd Edition. Allen B. Downey (2025) 💬 "Think Stats" — статистика подаётся через код: вместо вывода формул читатель пишет симуляцию и видит результат. Порог входа низкий по математике, но требуется уверенный Python; материал строится на реальных наборах данных, а не на учебных примерах. Подход особенно удобен программистам, которым проще понять перестановочный тест через цикл

25 Aug 2026, 08:07 UTC196 viewsread 26 August 2026
Photo

🧭 Modern Concurrency in Java: Virtual Threads, Structured Concurrency, and Beyond (2025) 💬 "Modern Concurrency in Java" — книга про смену модели: пул потоков и асинхронные абстракции уступают месту простому последовательному коду, который платформа масштабирует сама. Рассчитана на Java-разработчиков с опытом, знакомых с классической многопоточностью и её ограничениями. Ценность — в разборе подводных камней миграции:

24 Aug 2026, 16:07 UTC230 viewsread 26 August 2026
Photo

🧭 Mastering Linux Security and Hardening: A practical guide to protecting your Linux system from cyber attacks, 3rd Edition (2023) 💬 "Mastering Linux Security and Hardening" — практическое руководство с примерами для семейств Ubuntu и RHEL: команды и конфигурации даются под обе ветки. Рассчитана на администраторов и DevOps-инженеров, уверенно работающих с Linux; вводных глав про терминал здесь нет. Практический резу

24 Aug 2026, 11:07 UTC238 viewsread 26 August 2026
Photo

🧭 Engineering Leadership: The Hard Parts: Navigating Chaos to Build Teams That Deliver. Juan Pablo Buriticá, James Turnbull. O'Reilly, 1-е издание (2026) 💬 "Engineering Leadership: The Hard Parts" — авторы прямо оспаривают допущение большинства книг о менеджменте: что читатель работает в стабильной организации с внятными процессами. Здесь исходная точка обратная — роли размыты, приоритеты меняются ежедневно. Аудитор

24 Aug 2026, 08:07 UTC225 viewsread 26 August 2026
Photo

🧭 Modern Concurrency in Swift: Introducing Async/Await, Task Groups & Actors, 2nd Edition (2023) 💬 "Modern Concurrency in Swift" — книга разбирает не только синтаксис, но и модель, стоящую за ним: почему компилятор запрещает часть привычных конструкций. Рассчитана на iOS-разработчиков с опытом на Swift, знакомых с прежними подходами к асинхронности. Практический результат — понимание, как перевести существующий прое

23 Aug 2026, 16:07 UTC241 viewsread 26 August 2026
Photo

🧭 Windows Security Internals: A Deep Dive into Windows Authentication, Authorization, and Auditing. James Forshaw (2024) 💬 "Windows Security Internals" — книга уровня внутреннего устройства: автор работает в Project Zero, и материал написан с позиции исследователя, а не администратора. Порог входа высокий — нужны опыт с Windows на системном уровне и понимание работы ОС. Практическая отдача для обеих сторон: защитник

23 Aug 2026, 11:07 UTC230 viewsread 26 August 2026
Photo

🧭 Designing Electronics That Work: Real-World Hardware Development (2025) 💬 "Designing Electronics That Work" — книга о разнице между схемой, которая работает на столе, и устройством, которое работает всегда и в серии. Рассчитана на инженеров и продвинутых любителей, знающих основы электроники: базовые законы и работу компонентов здесь не объясняют. Ценность — в накопленном производственном опыте: типовые ошибки, из

23 Aug 2026, 08:07 UTC227 viewsread 26 August 2026
Photo

🧭 Metasploit: The Penetration Tester's Guide, 2nd Edition (2025) 💬 "Metasploit: The Penetration Tester's Guide" — второе издание переработано под текущее состояние фреймворка и методики тестирования. Рассчитана на пентестеров и специалистов по ИБ; предполагается знание сетей, Linux и базового скриптинга. Всё описанное применимо исключительно в легальном контуре: работы по договору с заказчиком, программы bug bounty

22 Aug 2026, 16:07 UTC236 viewsread 26 August 2026
Photo

🧭 Building Generative AI Services with FastAPI: A Practical Approach to Developing Context-Rich Generative AI Applications (2025) 💬 "Building Generative AI Services with FastAPI" — акцент на инженерной обвязке вокруг модели, а не на промптах: как довести прототип из ноутбука до работающего API. Рассчитана на Python-разработчиков, знакомых с веб-фреймворками и async; глубокого знания ML не требуется. Практический рез

22 Aug 2026, 11:07 UTC231 viewsread 26 August 2026
Photo

🧭 Python Polars: The Definitive Guide: Transforming, Analyzing, and Visualizing Data with a Fast and Expressive DataFrame API (2025) 💬 "Python Polars" — книга объясняет не только синтаксис, но и устройство движка на Rust с Arrow под капотом: понятно, откуда берётся скорость и когда её не будет. Рассчитана на аналитиков и дата-инженеров, знакомых с pandas и упирающихся в его ограничения. Основная перестройка мышления

22 Aug 2026, 08:07 UTC232 viewsread 26 August 2026
Photo

🧭 Learning PHP, MySQL & JavaScript: A Step-by-Step Guide to Creating Dynamic Websites, 7th Edition (2025) 💬 "Learning PHP, MySQL & JavaScript" — книга проходит весь стек снизу доверху и показывает, как компоненты стыкуются между собой, а не разбирает каждый в отдельности. Рассчитана на новичков в веб-разработке: знание HTML желательно, программистского опыта не требуется. За семь изданий материал регулярно обновлялс

Showing the 12 most recent of 73 posts we hold for @BugUser. 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.

Citation-graph rank

Citation-graph rank — 1,546,293 of 1,603,893entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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 1 registered channel — 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.

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 25 August 2026 — this entry's latest reading, not the date you are reading this.

“BugUser | Курсы, Программирование” (@BugUser), 11,439 subscribers as measured 25 August 2026. Telegram Register, tgregister.com/channel/BugUser.

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.