Вчера на открытой лекции по клиент-серверной архитектуре Герман задал вопрос: — С помощью чего можно запустить игру на телевизоре? Олды тут?
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Channel
@qa_studio
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
9,060subscribers
-231 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001538373746 |
|---|---|
| Type | Channel |
| Username | @qa_studio |
| Description | Привет! В этом канале мы рассказываем, как стать тестировщиком. Бесплатный вводный курс: https://clck.ru/3NmyoD О школе: https://clck.ru/3NmxSA Саппорт: @qa_studio_little_bot РКН 7017012449 gosuslugi.ru/snet/69ca6e35c249b090d782b8f9 |
| Created | Between 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 5 November 2026 |
| Measurements held | 26 |
| Confirmed unchanged | 1 time, most recently 5 November 2026 |
| On Telegram | t.me/qa_studio |
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 100% 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 |
|---|---|---|
| 5 Nov 2026, 07:56 | 9,060 | -6 |
| 2 Nov 2026, 16:36 | 9,066 | -8 |
| 30 Oct 2026, 21:00 | 9,074 | -5 |
| 28 Oct 2026, 00:41 | 9,079 | -3 |
| 25 Oct 2026, 01:57 | 9,082 | -14 |
| 21 Oct 2026, 16:07 | 9,096 | +3 |
| 18 Oct 2026, 20:10 | 9,093 | -8 |
| 16 Oct 2026, 02:47 | 9,101 | -6 |
| 12 Oct 2026, 18:57 | 9,107 | -9 |
| 6 Oct 2026, 07:16 | 9,116 | -7 |
| 29 Sept 2026, 07:18 | 9,123 | -27 |
| 19 Sept 2026, 06:17 | 9,150 | -11 |
| 15 Sept 2026, 02:17 | 9,161 | -16 |
| 11 Sept 2026, 12:37 | 9,177 | -14 |
| 6 Sept 2026, 11:17 | 9,191 | -3 |
| 2 Sept 2026, 08:26 | 9,194 | -6 |
| 30 Aug 2026, 01:57 | 9,200 | -12 |
| 27 Aug 2026, 01:08 | 9,212 | -14 |
| 24 Aug 2026, 07:42 | 9,226 | -10 |
| 20 Aug 2026, 08:52 | 9,236 | first reading |
42 posts held, back to 3 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 39 pages of Telegram’s post history, 20 posts per page.
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 9 of 10 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 6 November 2026 |
|---|---|
| Posts held | 42 (3 August 2026 – 6 November 2026) |
| Views total | 7,370 |
| Reactions total | 132 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 6 Nov 2026, 10:16 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.
Lifetime counters from Telegram’s own channel header, read 6 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.
Measured directly from 4 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.
739 reactions across 41 posts, in 20 distinct kinds. The most used accounts for 32.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 240 | 32.5% | |
| custom 5327768740115278591 | 84 | 11.4% | |
| custom 5327938429978177537 | 73 | 9.88% | |
| 😁 | 47 | 6.36% | |
| custom 5197542926518889627 | 45 | 6.09% | |
| custom 5328015198223622659 | 38 | 5.14% | |
| custom 5328045043951368335 | 34 | 4.60% | |
| custom 5328104018147305727 | 32 | 4.33% | |
| custom 5328288517057440537 | 30 | 4.06% | |
| custom 5199609626127017827 | 25 | 3.38% | |
| custom 5328143381522572921 | 16 | 2.17% | |
| custom 5327759222467751784 | 15 | 2.03% | |
| custom 5327927293127978304 | 15 | 2.03% | |
| custom 5327852560697027383 | 8 | 1.08% | |
| custom 5327997717706729857 | 8 | 1.08% | |
| custom 5328203107337791847 | 8 | 1.08% | |
| custom 5327861159221553713 | 7 | 0.947% | |
| custom 5327950936922939702 | 6 | 0.812% | |
| custom 5328109992446815972 | 4 | 0.541% | |
| custom 5328130801563364404 | 4 | 0.541% |
Custom emoji. 18 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 41 of the 42 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 739 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 42 most recent posts we hold, published 3 August 2026 to 6 November 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’s own ‘edited’ marker: 0 of 10 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Вчера на открытой лекции по клиент-серверной архитектуре Герман задал вопрос: — С помощью чего можно запустить игру на телевизоре? Олды тут?
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➡️ Ссылка на открытую лекцию: https://us02web.zoom.us/j/82289629489 В 19:00 мск начинаем 🧡
Сегодня мы проведём первую лекцию нового потока не только для наших учеников, но и для всех желающих 🔥 Приходите познакомиться с нашим подходом и погрузиться в атмосферу обучения 🧡 На лекции разберём: 🔸Клиент-серверную архитектуру 🔸Как под капотом работают сайты и приложения 🔸Зачем нужен протокол HTTP 🔸Что такое клиент и бэкенд Коротко: 🔸Дата: сегодня в 19:00 мск 🔸Записаться: @qa_studio_webinars_bot 🔸Всем участник…
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Делимся с вами отзывами об обучении в QA Studio 🧡 На ближайший поток ещё осталось несколько свободных мест. Узнать детали можно у Насти @qa_studio_nastya 😎
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В четверг старт обучения профессии «Инженер по тестированию» ⚡️ В этот раз мы проведём первую лекцию в открытом формате — для всех желающих 5 ноября в 19:00 мск На лекции разберём: 🔸Клиент-серверную архитектуру 🔸Как под капотом работают сайты и приложения 🔸Зачем нужен протокол HTTP 🔸Что такое клиент и бэкенд Всех, кто задумывается о карьере в тестировании, приглашаем на лекцию в открытом формате. Приходите познако…
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#статистика_qa_studio Раз в месяц мы собираем статистику по вакансиям и зарплате тестировщиков с нескольких ресурсов 🔸 В России на 2 ноября было опубликовано 811 вакансий для тестировщиков [hh.ru] По сравнению с прошлым месяцем количество вакансий уменьшилось В 61 вакансии рассматривают кандидатов без опыта 🧡 Около 41% вакансий предполагают удалённый формат работы ⚡️ 🔸 Средняя зарплата ручного тестировщика на 2…
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Хотим поделиться нашим расписанием на следующий месяц. Выбирайте подходящий курс и приходите к нам учиться 🧡 Вас ждёт всё лучшее от команды QA Studio: 🔸Поддержка опытных менторов 🔸Мини-группы, где уделяется внимание каждому ученику 🔸Наши флагманские тренажёры из «Битвы покемонов», Вики, Миро, Яндекс Трекер и chatGPT Подробнее о каждом курсе ⬇️ 🔸Инженер по тестированию [профессия с нуля] [4 месяца обучения] [старт …
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Рассказываем про активности, которые мы организовали в этом месяце для наших учеников [доступны на любом тарифе и даже после завершения обучения] Такие встречи проводят живые люди (а не просто онлайн-тренажёр) — это помогает поддержать мотивацию к обучению. Одно дело — выполнить домашку по API, а другое — голосом на качалке ответить на вопросы про REST или составить тест-кейсы на коммерческий продукт на стажировке ✅…
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❓ Что стоит покрыть автотестами в первую очередь? Мы попросили поделиться своей точкой зрения Наталью, ментора на курсе по автоматизации тестирования на Java и Test-manager в Performance Lab ⬆️⬆️⬆️ ➡️ узнать больше об обучении в QA Studio https://qa.studio/ ➡️ задать вопрос нашему менеджеру Насте @qa_studio_nastya
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✅ База для QA, которую можно освоить за выходные! Собрали бесплатные интерактивные тренажеры, которые помогут закрыть самые частые пробелы в знаниях тестировщика: 1️⃣ Devtools-тренажёр 2️⃣ JSON тренажёр 3️⃣ JWT тренажёр 4️⃣ Мини-курс с фидбеком от ментора Выбирайте понравившийся тренажёр и начинайте учиться. Пары дней вполне хватит, чтобы почувствовать себя увереннее на собеседованиях! Ещё больше классных трен…
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Мы собрали команду классных менторов на курсе по автоматизации тестирования на Java и продолжаем вас с ними знакомить 🔥 В карточках рассказываем о Наталье, Test-manager в Performance Lab ⬆️⬆️⬆️ ➡️ узнать больше об обучении https://qa.studio/java-auto-qa ➡️ задать вопрос нашему менеджеру Насте @qa_studio_nastya
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Showing the 12 most recent of 42 posts we hold for @qa_studio. 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.
Named by 3 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.
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.
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 8 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 5 November 2026 — this entry's latest reading, not the date you are reading this.
“QA Studio | Тестирование” (@qa_studio), 9,060 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/qa_studio.
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.