Channel
@cplusplus_tg
On this record: Topic · Growth · Engagement · What this channel posts · Advertising · Posts · Posts recorded as deleted · Citations · Telegram's recommendations · Cite this entry
10,167subscribers
-159 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001506941396 |
|---|---|
| Type | Channel |
| Username | @cplusplus_tg |
| Description | № 4974310652 Обучающий канал по C++ По всем вопросам @mascarov_valentin Реклама на бирже - https://telega.in/c/Learning_pluses |
| Created | Between 1 April 2021 and 31 March 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 10 November 2026 |
| Measurements held | 59 |
| Confirmed unchanged | 1 time, most recently 10 November 2026 |
| On Telegram | t.me/cplusplus_tg |
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 97% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Nov 2026, 14:21 | 10,167 | -4 |
| 8 Nov 2026, 23:11 | 10,171 | -3 |
| 7 Nov 2026, 14:19 | 10,174 | +1 |
| 6 Nov 2026, 12:25 | 10,173 | +1 |
| 5 Nov 2026, 10:29 | 10,172 | -1 |
| 4 Nov 2026, 13:17 | 10,173 | -2 |
| 3 Nov 2026, 10:10 | 10,175 | +1 |
| 1 Nov 2026, 12:36 | 10,174 | +1 |
| 31 Oct 2026, 12:27 | 10,173 | -1 |
| 30 Oct 2026, 10:41 | 10,174 | -3 |
| 29 Oct 2026, 07:59 | 10,177 | -4 |
| 28 Oct 2026, 03:48 | 10,181 | -4 |
| 27 Oct 2026, 03:17 | 10,185 | -2 |
| 26 Oct 2026, 03:28 | 10,187 | -1 |
| 25 Oct 2026, 04:57 | 10,188 | -1 |
| 24 Oct 2026, 01:55 | 10,189 | -2 |
| 23 Oct 2026, 04:51 | 10,191 | -6 |
| 22 Oct 2026, 02:38 | 10,197 | -6 |
| 20 Oct 2026, 22:29 | 10,203 | -2 |
| 19 Oct 2026, 17:36 | 10,205 | first reading |
23 posts held, back to 31 December 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 55 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 23 posts for this entry, the most recent from 14 September 2026. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 11 November 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.
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
| erid | Posts | First seen | Last seen |
|---|---|---|---|
| 2VtzqxWHCtS | 1 | 13 July 2026 | 13 July 2026 |
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 23 most recent posts we hold, published 31 December 2025 to 14 September 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
⚙️ std::ofstream std::ofstream из заголовка <fstream> используется для записи данных в файл. Это удобный инструмент для работы с файлами, позволяющий записывать текстовую или бинарную информацию. C++ Learning 👩💻
🤔 Как это работает? — Передача аргументов в C++ В C++ аргументы функции можно передавать по значению, по ссылке и по константной ссылке. Эти подходы влияют на производительность и безопасность. Давайте разберём, как это работает. ➡️ Как это работает: • Передача по значению: создаёт копию объекта, что может быть дорого для больших объектов. • Передача по ссылке: передаёт ссылку на объект, избегая копирования. • Пер…
➡️ auto & decltype • auto-типизированные переменные выводятся компилятором на основе типа их инициализатора. • Чрезвычайно полезно с точки зрения удобочитаемости, особенно для сложных типов: // std::vector<int>::const_iterator cit = v.cbegin(); auto cit = v.cbegin(); // альтернатива // std::shared_ptr<vector<uint32_t>> demo_ptr(new vector<uint32_t>(0); auto demo_ptr = make_shared<vector<uint32_t>>(0); // альтернат…
⚙️ std::iota std::iota — алгоритм из библиотеки <numeric>, который заполняет диапазон значениями, начиная с указанного стартового числа, увеличивая его на 1 для каждого следующего элемента. Это полезно для генерации простых последовательностей чисел, индексов, номеров строк, тестовых данных без ручных циклов. C++ Learning 👩💻
🔥 Три разных человека. Три разных проекта. Один и тот же подход. — Юра взял «скучную» нишу с готовым спросом → сначала печальные $100/мес, через год уже ~$10K/мес — Денис сделал Telegram-игру в одиночку на основе AI → ~ $1500 за 1,5 месяца после запуска — Аня без кода запустила AI-бота для изучения английского → первые ~$200 уже в 1 месяц Разные результаты. Разный масштаб. Но общие правила: 1. не придумывать «гени…
⚙️ std::lcm std::lcm вычисляет наименьшее общее кратное (НОК) двух чисел. Это полезно для задач на синхронизацию событий, работы с дробями и математических расчётов. C++ Learning 👩💻
⚙️ std::gcd std::gcd вычисляет наибольший общий делитель (НОД) двух чисел. Это полезно для задач на делимость, сокращения дробей и численных алгоритмов. C++ Learning 👩💻
Недавние математические интриги вокруг OpenAI снова подняли вопрос: ИИ действительно решает сложные задачи или просто находит готовые доказательства в уже существующих текстах? В любом случае без математики тут никуда: алгоритмы, логика, доказательства, проверка гипотез — всё это база сильного разработчика. В канале «Зачем мне эта математика?» такие истории разбирают понятно: от задач Эрдёша до ML и графов. Подпис…
⚙️ std::exchange std::exchange заменяет значение переменной на новое и возвращает старое. Это полезно для сброса состояния, перемещения значений и написания атомарных операций. C++ Learning 👩💻
⚙️ std::clamp std::clamp ограничивает значение в пределах заданного диапазона. Это полезно для валидации чисел, нормализации данных и защиты от выхода за границы. C++ Learning 👩💻
⚙️ std::launder std::launder (C++17) используется для безопасного доступа к объекту после его повторной инициализации в той же памяти с помощью placement new. Это важно при низкоуровневых операциях, связанных с ручным управлением жизненным циклом объектов. C++ Learning 👩💻
⚙️ std::unexpected std::unexpected (устаревший в C++17, но интересный исторически) используется для установки обработчика непредусмотренных исключений, выбрасываемых функциями с noexcept(false) или throw()-спецификацией. Полезно для отладки и контроля исключений в старом коде. C++ Learning 👩💻
Showing the 12 most recent of 23 posts we hold for @cplusplus_tg. 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.
We recorded 1 post on @cplusplus_tg as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
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.
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.
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.
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 10 November 2026 — this entry's latest reading, not the date you are reading this.
“C++ Learning” (@cplusplus_tg), 10,167 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/cplusplus_tg.
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.