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Channel

QA Studio | Тестирование

@qa_studio

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

9,150subscribers

-141 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001538373746
TypeChannel
Username@qa_studio
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 live19 September 2026
Measurements held15
Confirmed unchanged1 time, most recently 19 September 2026
On Telegramt.me/qa_studio

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 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 why it has no browse page of its own yet.

Growth

9,1509,2919,220.57 August 2026 — 9,291 subscribers7 August 2026 — 9,291 subscribers7 August 2026 — 9,288 subscribers10 August 2026 — 9,277 subscribers14 August 2026 — 9,252 subscribers17 August 2026 — 9,234 subscribers20 August 2026 — 9,236 subscribers24 August 2026 — 9,226 subscribers27 August 2026 — 9,212 subscribers30 August 2026 — 9,200 subscribers2 September 2026 — 9,194 subscribers6 September 2026 — 9,191 subscribers11 September 2026 — 9,177 subscribers15 September 2026 — 9,161 subscribers19 September 2026 — 9,150 subscribers7 August 202619 September 2026
15 measurements spanning 43 days, net -141. 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 9,129–9,312 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
19 Sept 2026, 06:179,150-11
15 Sept 2026, 02:179,161-16
11 Sept 2026, 12:379,177-14
6 Sept 2026, 11:179,191-3
2 Sept 2026, 08:269,194-6
30 Aug 2026, 01:579,200-12
27 Aug 2026, 01:089,212-14
24 Aug 2026, 07:429,226-10
20 Aug 2026, 08:529,236+2
17 Aug 2026, 19:139,234-18
14 Aug 2026, 16:039,252-25
10 Aug 2026, 22:339,277-11
7 Aug 2026, 15:579,288-3
7 Aug 2026, 08:309,291no change
7 Aug 2026, 08:259,291first reading

Engagement

32 posts held, back to 3 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 32 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
8.44%
avg views ÷ 9,150 subscribers
Avg views / post
772
7 posts measured
Reaction rate
1.55%
reactions ÷ views · ER floor
Posts in window
7
of 32 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 29 August 2026
Posts held32 (3 August 202629 August 2026)
Views total5,405
Reactions total84
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken29 Aug 2026, 11:41 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
32s
Average length
11s

Measured directly from 3 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.

Reaction mix

607 reactions across 32 posts, in 18 distinct kinds. The most used accounts for 32.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
19632.3%
custom 53277687401152785918413.8%
custom 53279384299781775376110.0%
custom 5197542926518889627457.41%
custom 5328015198223622659386.26%
😁335.44%
custom 5328288517057440537304.94%
custom 5199609626127017827254.12%
custom 5328045043951368335172.80%
custom 5328143381522572921162.64%
custom 5327759222467751784152.47%
custom 532799771770672985781.32%
custom 532810401814730572781.32%
custom 532820310733779184781.32%
custom 532786115922155371371.15%
custom 532785256069702738360.988%
custom 532795093692293970260.988%
custom 532813080156336440440.659%

Custom emoji. 16 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 32 of the 32 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 607 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 32 most recent posts we hold, published 3 August 2026 to 29 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

29 Aug 2026, 08:04 UTC279 views8 reactionsread 29 August 2026
Photo

✅ 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

4custom 53277687401152785912custom 53280151982236226592

28 Aug 2026, 08:02 UTC639 views11 reactionsread 29 August 2026
Photo

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

4custom 53280151982236226594custom 53277687401152785913

27 Aug 2026, 08:03 UTC827 views12 reactionsread 29 August 2026
Photo

Сегодня выйдет первая лекция на курсе «Инженер по тестированию» 🔥 В QA Studio лекции, домашки и тренажёры связаны в одну большую историю: начинаем с самых основ и постепенно усложняем Объясняем с энтузиазмом, простым языком, на примерах из жизни. Делимся экраном и показываем шаг за шагом, как работать с инструментами Сегодня ещё можно успеть присоединиться к обучению на новом потоке 🌟 https://manual.qa.studio

4custom 53277687401152785914custom 53280151982236226594

26 Aug 2026, 09:49 UTC881 views12 reactionsread 29 August 2026
Photo

Чтобы «войти в IT» в 2026 году, нужен не просто учебный план, а помощь комьюнити и экспертов, которые знают, что сейчас нужно рынку 👌 В QA Studio фокус смещен с сухого заучивания теории на реальную практику — от тренажёров до стажировок в крупных компаниях. И максимум поддержки на всём пути до получения оффера — от ментора, тимлида и дружного комьюнити выпускников 🧡 Почему это важно? Обучение связывает тебя с людьм

5custom 53277687401152785914custom 53280151982236226593

25 Aug 2026, 08:03 UTC894 views12 reactionsread 29 August 2026
Photo

Ловите новую подборку скринов из Яндекс.Трекера — переписка менторов и учеников QA Studio в процессе сдачи домашки :) Мы общаемся на «ты», делимся гифками, стикерами и всегда готовы пошутить 🤌 Не ищем ошибки ради галочки, а стараемся помочь каждому ученику вырасти и научиться большему 🧡 _ _ _ _ _ _ На текущий поток по ручному тестированию осталось несколько мест 😎 Если у тебя есть вопросы по обучению в QA Studio —

4custom 53277687401152785914custom 53280151982236226594

24 Aug 2026, 09:54 UTC935 views12 reactionsread 29 August 2026
Photo

Уже в четверг стартует обучение на курсе «Инженер по тестированию»🧡 🔸 У каждого ученика будет свой ментор: кто поделится опытом, будет проверять домашки и поддержит на всём пути обучения 🔸 Будет много тренажёров собственной разработки: REST и SOAP API, PostgreSQL и NoSQL, Kafka, Swagger, Kibana, Grafana, Sentry, Figma, мобильное приложение — всё это в одной игре «Битва покемонов» 🔸 А ещё — тестовые собесы, качалки

custom 532776874011527859154custom 53280151982236226593

23 Aug 2026, 08:03 UTC950 views17 reactionsread 29 August 2026
Video

➡️ Пройти бесплатный вводный курс по тестированию QA Studio 🧡

😁94custom 53279384299781775374

22 Aug 2026, 10:04 UTC≈1,020 views18 reactionsread 28 August 2026
Photo

У нас есть добрая традиция — на каждый поток курса по ручному тестированию берём одного ученика бесплатно 🧡 Вчера на вебинаре Герман разыграл бесплатное место — и выиграл Николай 🌟 Его ждёт практика на тренажёрах, тестовые собесы, закрытое комьюнити тестировщиков, продлёнки и качалки по теории — всё, чтобы начать карьеру в тестировании 😉 ➡️ Пройти бесплатный вводный курс по тестированию #бесплатное_место_qa_studi

8custom 53277687401152785916custom 53282031073377918474

21 Aug 2026, 14:13 UTC≈1,020 views13 reactionsread 27 August 2026
Photo

Стоит ли идти в айти осенью 2026? Что с вакансиям для тестировщиков? ⚡️ Обсудим сегодня бесплатном вебинаре в 19:00 мск 🧡 В прямом эфире: 🔸Сделаем обзор вакансий и стажировок 🔸Обсудим актуальные зарплаты в QA 🔸Расскажем, какие инструменты должны быть в резюме 🔸Поделимся альтернативами hh для поиска работы 🔸Разыграем бесплатное место на курсе — заявки принимаем сегодня до 18:00 мск на сайте https://manual.qa.studio

6custom 53282031073377918474custom 53277687401152785913

21 Aug 2026, 08:00 UTC≈2,450 views19 reactionsread 27 August 2026
Photo

Открываем набор на первый поток обучения автоматизации тестирования на Java 🔥 🔸Дата старта: 24 сентября 2026 🔸Длительность обучения: 5 месяцев 🔸Количество мест на первом потоке: 48 Научим автоматизировать тестирование API и Web, создавать отчеты в Allure, профессионально работать с Git и Docker, управлять CI/CD и запускать тесты в пайплайне 🔥 Стек: 🔸Автотесты UI: Selenium WebDriver/Grid и Selenide 🔸Автотесты API:

custom 51975429265188896278custom 532776874011527859165

20 Aug 2026, 15:16 UTC928 views27 reactionsread 25 August 2026
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#релизы_qa_studio Делимся долгожданным релизом! Весь 2026 год мы активно работаем над созданием курса по автотестам на Java ☕️ Уже завтра утром мы откроем запись на первый поток, который стартует 24 сентября Продолжительность обучения: 5 месяцев Стоимость: от 93 000 ₽ В первом потоке будет 4 ментора: 🔸Алёна, Senior Fullstack QA в Т-Банк 🔸Наталья, Test-manager в Performance Lab 🔸Антон, Senior Fullstack QA в Т-Банк

custom 532776874011527859116custom 519754292651888962774

20 Aug 2026, 07:52 UTC956 views36 reactionsread 24 August 2026
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Частая причина пропущеных в прод багов — «наверно мне показалось», «возможно это сбой», «может, я неправильно что-то сделал», особенно если баг плавающий 🤩🤩🤩🤩🤩🤩 На стажировках мы работаем с этим — учим тестировщиков быть внимательными к любому нестандартному поведению системы, смело сообщать о своих подозрениях и локализовывать трудновоспроизводимые баги ✅ - - - - - - Как думаете: не сказать о найденном баге, если

custom 532828851705744053730custom 53279509369229397026

Showing the 12 most recent of 32 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.

Mentions

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.

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.

Artsiom Rusau QA Life - Тестировщик с нуля
@qachanell · 30,246
Telegram ranks this channel #11 of 92 here — alongside 91 others — read 7 September 2026
IT - стажировки и обучение
@it_interns · 31,464
Telegram ranks this channel #12 of 97 here — alongside 96 others — read 6 September 2026
Тестировщик от бога
@godoftesting · 29,550
Telegram ranks this channel #20 of 90 here — alongside 89 others — read 8 September 2026
QA Sklad - Склад тестировщика
@qa_sklad · 23,347
Telegram ranks this channel #35 of 94 here — alongside 93 others — read 18 September 2026
Серьезный тестировщик 🐞
@serious_tester · 30,126
Telegram ranks this channel #38 of 92 here — alongside 91 others — read 7 September 2026
Job for QA
@forallqa · 22,530
Telegram ranks this channel #45 of 95 here — alongside 94 others — read 20 September 2026

This channel appears in 6 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 19 September 2026 — this entry's latest reading, not the date you are reading this.

“QA Studio | Тестирование” (@qa_studio), 9,150 subscribers as measured 19 September 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.