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 12 September 2026 and assigned it the closest of 31 fixed categories, at 98% 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
23 measurements spanning 89 days, net -123. 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 6,866–7,025 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 23
Measured (UTC)
Subscribers
Change
4 Nov 2026, 01:39
6,884
-1
31 Oct 2026, 15:59
6,885
-7
28 Oct 2026, 10:48
6,892
-4
25 Oct 2026, 18:25
6,896
-8
22 Oct 2026, 13:17
6,904
-3
19 Oct 2026, 17:15
6,907
-2
16 Oct 2026, 20:27
6,909
-7
13 Oct 2026, 13:40
6,916
-21
30 Sept 2026, 13:35
6,937
-21
16 Sept 2026, 03:59
6,958
-8
12 Sept 2026, 14:39
6,966
-9
8 Sept 2026, 06:17
6,975
-15
3 Sept 2026, 09:58
6,990
-10
30 Aug 2026, 23:57
7,000
+1
28 Aug 2026, 09:33
6,999
+8
25 Aug 2026, 02:37
6,991
-3
22 Aug 2026, 03:57
6,994
-3
18 Aug 2026, 19:58
6,997
-4
16 Aug 2026, 03:17
7,001
-2
12 Aug 2026, 17:53
7,003
first reading
Engagement
25 posts held, back to 6 March 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 18 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
10.0%
avg views ÷ 6,884 subscribers
Avg views / post
691
1 post measured
Reaction rate
2.60%
reactions ÷ views · ER floor
Posts in window
1
of 25 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
Window
Rolling 30 days · latest post in window 2 November 2026
Posts held
25 (6 March 2026 – 2 November 2026)
Views total
691
Reactions total
18
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Nov 2026, 09:24 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
393
Videos
95
Links
816
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. Below Telegram’s rounding threshold, so these counts are exact.
Video runtime
9m 07s
Average length
1m 49s
Measured directly from 5 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
262 reactions across 21 posts, in 9 distinct kinds. The most used accounts for 37.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
98
37.4%
🔥
64
24.4%
👍
55
21.0%
😢
31
11.8%
😭
7
2.67%
✍
3
1.15%
🤝
2
0.763%
👏
1
0.382%
🤔
1
0.382%
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 21 of the 25 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 262 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 25 most recent posts we hold, published 6 March 2026 to 2 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: 1 of 1 post held from the last 30 days (100.0%) 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).
Сложно представить что-то более похожее на скам в нынешних условиях, чем реклама обучения мануальному или авто тестированию. Сообщения от знакомых, что в какой-то компании сократили сразу 17 тестировщиков, уже не удивляют. Рынок очень активно чистится от ранее кое-как трудоустроившихся после "обучения" по видеолекциям или просто с подделанными резюме.
Так как демотивации и так достаточно, то обзор динамики вакансий …
⚡️Mentorpiece Vacy Index: Сравниваем динамику вакансий классических QA и AI QA в РФ и США за 6 месяцев
С весны мы публикуем ежемесячный индекс активности IT-найма – раздельно по вакансиям РФ и США. Даже если взять короткий срок наблюдений всего в 6 месяцев, можно увидеть значительное отличие в трендах.
• Что в сентябре с наймом по другим IT-ролям/странам
• Вакансии Manual QA - превью ежедневно обнаруживаемых AI-аге…
К осени стало больше офферов
Хотя новые группы уже 8 месяцев не набираем, работу с ранее зачисленными студентами активно продолжаем. Ребята из группы 2025.3 RUS так увлеклись работой на интернатуре в принимающей компании, что на пятый месяц их пришлось почти насильно вытаскивать из неё и переводить в менторство по трудоустройству. Карточки с обратной связью ребят после каждого спринта.
🥇 За последние полтора месяца…
❗️Бесплатный курс-профориентация Нужно ли тебе в тестирование? закрылся 25 сентября [обновлено] на длительную переработку.
Возможность лично пообщаться со мной остается только у мидлов/сеньоров в рамках карьерного буста Развилка в IT.
Некоторые детали о долгосрочных планах по курсу-профориентации и почему надо очень осторожно использовать ChatGPT при выборе профессии в хабр-статье "Почему ChatGPT дает опасные карье…
⚡️Mentorpiece Vacy Index август 2026: Число вакансий по тестированию AI-приложений растет третий месяц подряд
🟡 Ежедневный анализ открываемых и закрываемых вакансий в более чем 2000 русскоязычных IT-компаний начал показывать тренд роста вакансий, где требуется тестирование AI-приложений.
Процент компаний с открытыми вакансиями AI QA и ML Evaluation:
июнь: +0.1%
июль: +0.3%
август: +0.2%
Пусть этот рост идет от ну…
- Спрос на Manual QA, скорее всего, продолжит падать.
- На Automation QA возлагать надежды поздно - Claude Code уже заменяет эту специальность.
- Хотелось бы видеть активный рост вакансий по AI QA / ML Evaluation, но их пока немного.
Что делать?
Куда двигаться?
Если пропустили этот пост в Оранжевом журнале, то еще не поздно его прочитать (увы, никакие курсы там не предлагаем).
⚡️Mentorpiece Vacy Index июль 2026: Найм ручных QA продолжает падать, но сокращение Automation замедлилось
🔴 Процент нанимающих компаний по роли Manual QA в очередной раз снизился и достиг 21.6%.
Для сравнения: в феврале нанимающих компаний было 40.7%. То есть меньше чем за полгода произошло двукратное падение!
Лилия Урмазова
• Что в июле с наймом по другим IT-ролям/странам
• Вакансии Manual QA - превью ежедневно…
⚡️Mentorpiece Vacy Index июнь 2026: IT-найм продолжает падать
🔴 Процент нанимающих IT-компаний по роли Manual QA сильно падает 7-й месяц подряд.
• Что в июне с наймом по другим IT-ролям/странам (спойлер: автоматизация тоже падает, а AI-роли растут, но пока слабо)
• Вакансии Manual QA - превью ежедневно обнаруживаемых AI-агентами вакансий.
Что с IT-наймом будет дальше?
Индикатор активности IT-найма за июль появится…
🔻 Российское IT падает уже семь месяцев
С декабря получаю многочисленные сообщения от алюмни о сокращениях во всё большем и большем числе российских IT-компаний.
Поэтому с января Mentorpiece не стартовал русскоязычные учебные группы обучения тестированию - хотя желающих и достаточно. Из-за практики полной открытости (напомню, мы - единственная IT-школа, открыто публикующая поименные списки всех поступивших студенто…
❤17🔥4✍1
Showing the 12 most recent of 25 posts we hold for @to_be_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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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.
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 · 30,163 Telegram ranks this channel #8 of 92 here — alongside 91 others — read 7 September 2026
Серьезный тестировщик 🐞 @serious_tester · 29,759 Telegram ranks this channel #22 of 92 here — alongside 91 others — read 7 September 2026
IT - стажировки и обучение @it_interns · 31,669 Telegram ranks this channel #31 of 97 here — alongside 96 others — read 6 September 2026
Тестировщик от бога @godoftesting · 29,204 Telegram ranks this channel #32 of 90 here — alongside 89 others — read 8 September 2026
Job for QA @forallqa · 22,905 Telegram ranks this channel #42 of 95 here — alongside 94 others — read 20 September 2026
IT Events 📆 АйТи События @itevents · 17,317 Telegram ranks this channel #57 of 94 here — alongside 93 others — read 30 September 2026
Работа для тестировщиков. QA @qajoboffer · 20,762 Telegram ranks this channel #61 of 92 here — alongside 91 others — read 27 September 2026
QA Sklad - Склад тестировщика @qa_sklad · 23,109 Telegram ranks this channel #86 of 94 here — alongside 93 others — read 18 September 2026
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.
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 4 November 2026 — this
entry's latest reading, not the date you are reading this.
“Становимся тестировщиком (QA)” (@to_be_qa), 6,884 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/to_be_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.