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QA❤️4Life | Testing | Тестирование ПО

@QA4Life

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Posts recorded as deleted · Citations · Telegram's recommendations · Cite this entry

7,825subscribers

-102 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-1001809206919
TypeChannel
Username@QA4Life
Description⚡️QA❤️4Life — достойный канал для охотников за багами: шпаргалки, instant-гайды, AI-news и AI-tools, хаки и мемы без воды. Джуны апают скилл, синьоры экономят время — все в плюсе. Канал ведёт Head of QA 📩 Связь с автором @Eugeniusz_1
CreatedBetween 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live9 November 2026
Measurements held26
Confirmed unchanged1 time, most recently 9 November 2026
On Telegramt.me/QA4Life

Topic

Technology — 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 12 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.

Growth

7,8207,9277,873.57 August 2026 — 7,927 subscribers7 August 2026 — 7,927 subscribers7 August 2026 — 7,926 subscribers10 August 2026 — 7,907 subscribers14 August 2026 — 7,889 subscribers17 August 2026 — 7,879 subscribers20 August 2026 — 7,884 subscribers24 August 2026 — 7,878 subscribers27 August 2026 — 7,876 subscribers30 August 2026 — 7,870 subscribers2 September 2026 — 7,863 subscribers6 September 2026 — 7,864 subscribers11 September 2026 — 7,890 subscribers15 September 2026 — 7,880 subscribers30 September 2026 — 7,886 subscribers7 October 2026 — 7,895 subscribers13 October 2026 — 7,883 subscribers16 October 2026 — 7,868 subscribers19 October 2026 — 7,857 subscribers22 October 2026 — 7,840 subscribers25 October 2026 — 7,838 subscribers28 October 2026 — 7,831 subscribers31 October 2026 — 7,821 subscribers3 November 2026 — 7,820 subscribers5 November 2026 — 7,828 subscribers9 November 2026 — 7,825 subscribers7,8257 August 20269 November 2026
26 measurements spanning 94 days, net -102. 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 7,804–7,943 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 26
Measured (UTC)SubscribersChange
9 Nov 2026, 03:157,825-3
5 Nov 2026, 18:207,828+8
3 Nov 2026, 00:507,820-1
31 Oct 2026, 10:287,821-10
28 Oct 2026, 14:107,831-7
25 Oct 2026, 21:367,838-2
22 Oct 2026, 22:277,840-17
19 Oct 2026, 14:387,857-11
16 Oct 2026, 04:497,868-15
13 Oct 2026, 08:207,883-12
7 Oct 2026, 07:027,895+9
30 Sept 2026, 02:597,886+6
15 Sept 2026, 19:567,880-10
11 Sept 2026, 17:197,890+26
6 Sept 2026, 18:417,864+1
2 Sept 2026, 05:347,863-7
30 Aug 2026, 02:057,870-6
27 Aug 2026, 12:067,876-2
24 Aug 2026, 04:467,878-6
20 Aug 2026, 15:517,884first reading

Engagement

89 posts held, back to 30 July 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 36 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
5.63%
avg views ÷ 7,825 subscribers
Avg views / post
440
27 posts measured
Reaction rate
0.903%
reactions ÷ views · ER floor
Posts in window
27
of 89 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 12 of 27 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 10 November 2026
Posts held89 (30 July 2026 – 10 November 2026)
Views total11,888
Reactions total59
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 01:22 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.

What this channel posts

Photos
≈1,240
Videos
≈214
Links
≈3,400

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.

Video runtime
21m 35s
Average length
2m 42s

Measured directly from 8 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

207 reactions across 46 posts, in 13 distinct kinds. The most used accounts for 33.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥6933.3%
❤5828.0%
👍4019.3%
🤣136.28%
😁115.31%
💯31.45%
🙏31.45%
🤡31.45%
✍20.966%
😢20.966%
👏10.483%
😍10.483%
😭10.483%

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 51 of the 89 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 207 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 89 most recent posts we hold, published 30 July 2026 to 10 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.

Recent posts

Telegram’s own ‘edited’ marker: 2 of 27 posts held from the last 30 days (7.41%) 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).

10 Nov 2026, 12:20 UTC385 viewsread 11 November 2026
Photo

YADRO приглашает на QA-митап, где инженеры расскажут о тестировании и покажут железо для ЦОД 19 ноября встречаемся в Москве и онлайн на YADRO QA Meetup. В программе — три доклада: от систем хранения данных до инструментов, которыми пользуются ИИ-агенты. 🔹 Александр Зырянов расскажет, как за полтора года изменилась открытая система управления тестированием TESTY TMS и какие задачи пользователей за этим стояли. 🔹 По…

10 Nov 2026, 05:43 UTC321 views1 reactionsread 11 November 2026

Documenterra описала, как Claude помогает создавать автотесты по документации В кейсе на Хабре технический директор Documenterra рассказывает: тестировщики передают документацию агенту через MCP, а тот создаёт тест-кейсы и автотесты на Playwright. В примере с восстановлением пароля агент добавил негативную проверку для пустого логина, хотя документация её явно не описывала. В статье приведён код двух тестов. Автор…

👍1

10 Nov 2026, 05:43 UTC477 viewsread 11 November 2026

Playwright MCP обновил управление фоновыми вкладками 9 ноября вышел Playwright MCP v0.0.85. При запуске с флагами --extension --background управляемая вкладка остаётся неактивной, окно – без фокуса, а новые вкладки открываются в фоне. Для этого нужна версия расширения 0.5.0 или новее. Chrome ограничивает таймеры и анимацию фоновых вкладок. Флаг --no-tab-group отключает перенос вкладок в отдельную группу. Настройка…

10 Nov 2026, 05:43 UTC380 viewsread 11 November 2026

Playwright Python 1.65.0: locator можно преобразовать в код теста Релиз вышел 9 ноября 2026 года. Результат locator.normalize() теперь можно преобразовать в строку с кодом Python. Вместе с page.get_by_ref() это помогает перенести выбранный агентом в AI-режиме элемент из aria snapshot в тестовый код. Действия вроде click и fill теперь ждут, пока целевой элемент перестанет быть inert. Если этого не происходит, действ…

9 Nov 2026, 20:23 UTC336 viewsread 11 November 2026
Forwarded from @AI_4lifePhoto

Anthropic представила Claude Fable 5.2 и Mythos 5.2 Это одна базовая модель с разными мерами защиты. Fable 5.2 открыта широкой аудитории, а Mythos 5.2 дают проверенным организациям, работающим в кибербезопасности и биомедицине. Anthropic позиционирует обе версии для сложных технических задач; для повседневной работы компания по-прежнему рекомендует Opus 5.5. В демонстрационных испытаниях Fable координировала более …

9 Nov 2026, 20:23 UTC325 viewsread 11 November 2026
Forwarded from @AI_4lifePhoto

Meta выпустила Muse Ember, свою компактную модель для рутинных задач ИИ-агентов Ember рассчитана на короткие этапы, которые агент повторяет десятки раз: извлекает данные, вызывает инструменты, читает код, запускает тесты и вносит точечные исправления. Meta предлагает поручать ей массовые подзадачи, а сложное планирование оставлять Muse Wonder. Контекст модели – 1 млн токенов, на выходе она может сгенерировать до 51…

9 Nov 2026, 14:57 UTC417 viewsread 11 November 2026
Photo

Почему ИИ не спасёт плохо устроенный процесс В статье на Хабре QA-специалистка разбирает, как благие процессные изменения могут обернуться простоями и конфликтами. В первую неделю работы она предложила переносить настройки мебельной CRM через таблицу. При копировании изменился числовой параметр, и производство остановилось на несколько дней. Позже автор продвигала сквозные тест-кейсы, но признала, что обошла руково…

9 Nov 2026, 14:31 UTC394 viewsread 11 November 2026
Photo

🔥 Нейросети и AI-агенты: от сильных запросов до персонального AI-агента 24/7 Набор на 3-й поток открыт. 📱 Старт – 26 ноября или по мере формирования группы. Нейросети сегодня есть у всех. Но у большинства это всё ещё вкладка, которую открывают, когда нужно быстро переписать письмо или придумать пару вариантов текста. На курсе собираем другой рабочий контур: нейросеть помогает разобрать требования, подготовить т…

9 Nov 2026, 14:18 UTC423 viewsread 11 November 2026
Photo

Google AI Plus на 6 месяцев всего за 400₽ или 15 BYN . Что входит в тариф: 🧠 Gemini 3.6 Flash, Deep Research и увеличенные лимиты. Контекстное окно – до 128 000 токенов. 🍌 Генерация и редактирование изображений в Gemini. Фиксированное число картинок в день Google не обещает: лимиты зависят от использования. 🎥 Создание видео прямо в Gemini. Точное число генераций для Plus не гарантировано – лимиты динамические. …

6 Nov 2026, 07:40 UTC737 views5 reactionsread 11 November 2026
Forwarded from @AI_4lifePhoto

Claude Code сократил расход на сообщения фоновых агентов Фоновые субагенты Claude Code показывают, чем заняты, и обновляют строку состояния каждые 30 секунд. Раньше для каждого такого обновления модель повторно читала всю историю работы субагента. Теперь статус по коротким заметкам составляет Haiku 5.5. По данным Anthropic, отдельное обновление обходится примерно на 99% дешевле. Модель, которая выполняет саму задач…

❤5

6 Nov 2026, 06:43 UTC611 views1 reactionsread 11 November 2026

Playwright 1.65.0 запускает тест-раннер под Bun Playwright 1.65.0 вышел 5 ноября и запускает тест-раннер под Bun: bunx --bun playwright test. Bun сам транспилирует TypeScript, Babel и его кеш компиляции больше не нужны. CI Microsoft гоняет раннер на Bun 1.4.3 на Linux. Полный список изменений – в релизе на GitHub. Под Bun многое иначе: режима наблюдения нет, UI-режим не перезапускает тесты при изменении файлов, --o…

👍1

6 Nov 2026, 06:43 UTC474 views1 reactionsread 11 November 2026

Microsoft ускорила Windows 11 на ПК с 8 ГБ памяти Windows 11 на машинах с 8 ГБ стала до 20 % отзывчивее по телеметрии. Многозадачность в лабораторном тесте ускорилась до 40 %: сценарий гоняли на HP OmniBook 3 с 8 ГБ и Snapdragon X Plus, сравнивая сборки 26200.7623 и 26200.9445. Работа идёт с июля 2026 года в рамках программы повышения качества Windows. Система держит в памяти до 2 ГБ активных данных вместо выгрузки…

❤1

Showing the 12 most recent of 89 posts we hold for @QA4Life. 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.

Posts edited after publishing

@QA4Life edited 3 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
10 August 2026
Most recent edit
4 November 2026

Posts recorded as deleted after publishing

We recorded 2 posts on @QA4Life 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.

First seen missing
7 August 2026
Most recent seen missing
28 August 2026
Median time before seen missing
3 days
Seen missing in the last 30 days
0

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 2 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.

IT Events 📆 АйТи События
@itevents · 17,272
Telegram ranks this channel #21 of 94 here — alongside 93 others — read 30 September 2026
Серьезный тестировщик 🐞
@serious_tester · 29,731
Telegram ranks this channel #26 of 92 here — alongside 91 others — read 7 September 2026
QA Sklad - Склад тестировщика
@qa_sklad · 23,087
Telegram ranks this channel #33 of 94 here — alongside 93 others — read 18 September 2026
Artsiom Rusau QA Life - Тестировщик с нуля
@qachanell · 30,141
Telegram ranks this channel #35 of 92 here — alongside 91 others — read 7 September 2026
Тестировщик от бога
@godoftesting · 29,171
Telegram ranks this channel #36 of 90 here — alongside 89 others — read 8 September 2026
Job for QA
@forallqa · 22,906
Telegram ranks this channel #40 of 95 here — alongside 94 others — read 20 September 2026
Работа для тестировщиков. QA
@qajoboffer · 20,811
Telegram ranks this channel #43 of 92 here — alongside 91 others — read 27 September 2026

This channel appears in 7 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 9 November 2026 — this entry's latest reading, not the date you are reading this.

“QA❤️4Life | Testing | Тестирование ПО” (@QA4Life), 7,825 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/QA4Life.

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.