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Channel

Про QA

@pro_qa

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

1,059subscribers

+2 since we began measuring on 7 September 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001509233684
TypeChannel
Username@pro_qa
CreatedBetween 1 July 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 September 2026
Last confirmed live18 September 2026
Measurements held5
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/pro_qa

Growth

1,0571,0611,0597 September 2026 — 1,057 subscribers7 September 2026 — 1,057 subscribers10 September 2026 — 1,060 subscribers14 September 2026 — 1,061 subscribers18 September 2026 — 1,059 subscribers7 September 202618 September 2026
5 measurements spanning 10 days, net +2. 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 1,056–1,062 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
18 Sept 2026, 02:001,059-2
14 Sept 2026, 05:401,061+1
10 Sept 2026, 04:361,060+3
7 Sept 2026, 15:221,057no change
7 Sept 2026, 14:471,057first reading

Engagement

20 posts held, back to 3 April 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
28.1%
avg views ÷ 1,059 subscribers
Avg views / post
298
2 posts measured
Reaction rate
2.86%
reactions ÷ views · ER floor
Posts in window
2
of 20 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 4 September 2026
Posts held20 (3 April 20264 September 2026)
Views total595
Reactions total17
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Sept 2026, 15:22 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.

Reaction mix

220 reactions across 20 posts, in 12 distinct kinds. The most used accounts for 28.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍6228.2%
🔥4118.6%
👀2712.3%
💯209.09%
🤣209.09%
🤔167.27%
156.82%
custom 536381393961432718362.73%
🤯52.27%
🤷‍♂52.27%
custom 521090559627390534420.909%
🙈10.455%

Custom emoji. 2 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 20 of the 20 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 220 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 3 April 2026 to 4 September 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

4 Sept 2026, 11:01 UTC194 views10 reactionsread 7 September 2026

С начала этого года пару раз откладывал, но наконец-то созрел и выделил время под курс СТО в Стратоплане. Отправил заявку, выполнил тестовое задание, прошел вступительное собеседование, получил пачку материалов для старта. Сам курс состоит из 2-х частей - курс Основа с большим кол-вом информации по управлению и собственно курс СТО. Про программу детально писать не буду, но кому интересно - посмотрите на сайте с оп

🔥9👍1

28 Aug 2026, 11:07 UTC401 views7 reactionsread 7 September 2026

24 августа ATSQA выкатили довольно существенное обновление своего глобальный списка инструментов тестирования и автоматизации В апдейте явно виден новый всплеск AI‑ориентированных решений для качества. В базе у них уже 642 инструмента в 25 категориях, включая отдельную секцию AI‑assisted testing, а свежий апдейт принес сразу 17 JSON‑утилит - от генерации и форматирования до валидации, сравнения и мокирования данных,

👀3🔥3👍1

6 Aug 2026, 19:19 UTC509 views11 reactionsread 7 September 2026

Posted without readable text

🤔43custom 52109055962739053442💯1🙈1

5 Aug 2026, 14:29 UTC463 views5 reactionsread 7 September 2026

Если вы используете BrowserStack и/или следите за рынком, то наверняка видели новость про AI агента Test Companion.А кто-то возможно уже его попробовал. Если такие люди есть среди читателей - расскажите плиз "как оно"? И действительно ли золотые горы таковыми и являются. #qa #pro_qa #ai #browserstack #test_companion

🤔3👀2

3 Aug 2026, 12:42 UTC481 views6 reactionsread 7 September 2026

Posted without readable text

💯3👀2🤷‍♂1

29 Jul 2026, 15:09 UTC536 views6 reactionsread 7 September 2026
Photo

Сегодня в #OTUS на курсе QA Lead стартует новый поток 2026-07. Еще не поздно подключиться, тк первые 2 лекции обзорные и спокойно смотрятся в записи. Подробно про сам курс можно прочитать здесь: https://otus.ru/lessons/qa-lead/ Из интересных нововведений - добавили отдельный модуль про AI в тестировании. Ну и в качестве бонуса 10% скидка от меня - DANILOVV10 #qa #pro_qa

👍3👀2🔥1

29 Jul 2026, 11:51 UTC447 views6 reactionsread 7 September 2026

Решил все новости про AI / LLM в QA перенести в отдельный канал, чтобы здесь не засорять эфир - тк порой там дофига всего (я бы сказал каждый день что-то новое - все читать и анализировать никакого времени не хватит, поэтому у меня на жто отведено всего несколько часов в неделю - разобрать новости про ИИ и тестирование, которые мне агенты собирают. А самое вкусное буду постить в @qa_ai_news #qa #pro_qa #qa_ai @ai #l

🔥6

29 Jul 2026, 11:03 UTC462 views6 reactionsread 7 September 2026

Бывшая коллега, работающая Head of QA в одной конторе, которая делает тулзу с AI, которая пишет авто-тесты и проверяет/тестирует их с помощью AI, написала на днях: Мы выкатили платформу в публичный доступ. Первые пару недель она полностью бесплатная, потом постепенно начнем прикручивать оплату в формате кредитов - покупаешь кредиты и каждый запуск агента их съедает. Регистрироваться тут, можно звать друзей. Если буд

🤔3👀21

29 Jul 2026, 10:43 UTC392 views6 reactionsread 7 September 2026

Несколько раз возникал запрос на отдельную группу про AI в тестировании. Сделал отдельную группу для обсуждения) @qa_ai_group Присоединяйтесь! #qa #pro_qa #ai #llm #qa_ai

👀2👍21🔥1

27 Jul 2026, 08:59 UTC444 views12 reactionsread 7 September 2026

Месяц не писал в бложик, потому как был довольно сильно загружен. Из того, что «успел» за последнее время: - примерно на половину переделал весь курс QA Lead в ОТУСе // новый поток по пока еще старой, но уже несколько изменной программе (добавлен отдельный блок про AI в тестировании) стартует уже в эту среду - чуть позже сегодня повешу анонс и дам 10% скидку для тех кто захочет запрыгнуть в последний момент; ну а но

🔥11🤔1

27 Jul 2026, 08:42 UTC446 views11 reactionsread 7 September 2026
Photo

Минутка юмора про ГосУслуги «будущего». #qa #pro_qa #юмор

🤣10🔥1

24 Jun 2026, 20:21 UTC≈1,410 views17 reactionsread 7 September 2026

Каждый AI‑PR — 11 багов! Исследование QA Wolf по агентному SDLC показало, что AI‑код даёт примерно в 1,7 раза больше дефектов, чем человеческий, особенно в логике, безопасности и производительности. Средний AI‑PR содержит около 11 багов против 6 у обычного PR, а лучшие AI‑ревьюеры ловят только около 50% проблем. Отдельно исследователи предупреждают: если команды не перестроят тестирование под AI‑разработку, число д

🤣7💯4🤔32👍1

Showing the 12 most recent of 20 posts we hold for @pro_qa. 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

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.

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.

QA Sklad - Склад тестировщика
@qa_sklad · 23,347
Telegram ranks this channel #64 of 94 here — alongside 93 others — read 18 September 2026
Artsiom Rusau QA Life - Тестировщик с нуля
@qachanell · 30,246
Telegram ranks this channel #69 of 92 here — alongside 91 others — read 7 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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“Про QA” (@pro_qa), 1,059 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/pro_qa.

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.