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Channel

QA_Road_channel

@qa_road_channel

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

7,121subscribers

+183 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-1001894205427
TypeChannel
Username@qa_road_channel
DescriptionQA, инструменты и технологии Группа для комментов @qa_country_road Мой курс "Тестируем с ИИ" https://t.me/qa_road_channel/329 Ютуб канал https://www.youtube.com/@qaRoad/videos админ @Smok_Belyu Дима Алексеев ИНН 402811251507
CreatedBetween 1 November 2022 and 31 August 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live5 November 2026
Measurements held25
Confirmed unchanged1 time, most recently 5 November 2026
On Telegramt.me/qa_road_channel

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 12 September 2026 and assigned it the closest of 31 fixed categories, at 99% 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

6,8827,1217,001.57 August 2026 — 6,938 subscribers8 August 2026 — 6,936 subscribers11 August 2026 — 6,929 subscribers14 August 2026 — 6,920 subscribers17 August 2026 — 6,917 subscribers20 August 2026 — 6,911 subscribers24 August 2026 — 6,907 subscribers27 August 2026 — 6,902 subscribers30 August 2026 — 6,896 subscribers2 September 2026 — 6,894 subscribers7 September 2026 — 6,895 subscribers11 September 2026 — 6,892 subscribers14 September 2026 — 6,887 subscribers18 September 2026 — 6,882 subscribers27 September 2026 — 6,996 subscribers5 October 2026 — 7,067 subscribers11 October 2026 — 7,082 subscribers14 October 2026 — 7,086 subscribers17 October 2026 — 7,090 subscribers20 October 2026 — 7,099 subscribers24 October 2026 — 7,107 subscribers27 October 2026 — 7,113 subscribers30 October 2026 — 7,116 subscribers2 November 2026 — 7,118 subscribers5 November 2026 — 7,121 subscribers7 August 20265 November 2026
25 measurements spanning 90 days, net +183. 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 6,846–7,157 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)SubscribersChange
5 Nov 2026, 00:207,121+3
2 Nov 2026, 06:367,118+2
30 Oct 2026, 05:087,116+3
27 Oct 2026, 00:367,113+6
24 Oct 2026, 00:397,107+8
20 Oct 2026, 20:297,099+9
17 Oct 2026, 22:497,090+4
14 Oct 2026, 15:407,086+4
11 Oct 2026, 13:597,082+15
5 Oct 2026, 10:567,067+71
27 Sept 2026, 19:386,996+114
18 Sept 2026, 18:416,882-5
14 Sept 2026, 19:556,887-5
11 Sept 2026, 16:216,892-3
7 Sept 2026, 01:406,895+1
2 Sept 2026, 07:026,894-2
30 Aug 2026, 03:456,896-6
27 Aug 2026, 02:436,902-5
24 Aug 2026, 07:336,907-4
20 Aug 2026, 10:226,911first reading

Engagement

43 posts held, back to 23 June 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 21 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
31.3%
avg views ÷ 7,121 subscribers
Avg views / post
2,230
14 posts measured
Reaction rate
1.25%
reactions ÷ views · ER floor
Posts in window
15
of 43 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 14 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 3 November 2026
Posts held43 (23 June 2026 – 3 November 2026)
Views total31,172
Reactions total339
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Nov 2026, 14:17 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
250
Videos
6
Links
227

Lifetime counters from Telegram’s own channel header, read 7 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.

Reaction mix

1,512 reactions across 40 posts, in 11 distinct kinds. The most used accounts for 75.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥1,14375.6%
👍17111.3%
❤1157.61%
👌382.51%
😁181.19%
🥰110.728%
💯60.397%
👏40.265%
🤣20.132%
🤪20.132%
🦄20.132%

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 40 of the 43 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 1,512 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 43 most recent posts we hold, published 23 June 2026 to 3 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 Stars

Stars received
13
across the posts below
Posts paid on
2
of 42 we hold a reading for · 5%
Most on one post
7
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @qa_road_channel. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 43 most recent posts we hold for this entry, published 23 June 2026 to 3 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Advertising

Ad load
4.65%
2 of 43 posts carry an ad marker
Regulatory tokens
2
posts carrying an erid · 2 distinct tokens
Median views · ads
2,370
over 2 measured posts
Median views · rest
2,350
over 40 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2VtzqvqniTP121 October 202621 October 2026
2W5zFHoXy7w129 June 202629 June 2026

A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.

Measured over the 43 most recent posts we hold, published 23 June 2026 to 3 November 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.

Recent posts

Telegram’s own ‘edited’ marker: 1 of 15 posts held from the last 30 days (6.67%) 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).

3 Nov 2026, 17:57 UTC912 views7 reactionsread 5 November 2026

Ссылка на созвон Пятый урок курса «Что под капотом у ИИ» https://meet.jit.si/ScientificConsumptionsEmailFurthermore https://meet.jit.si/ScientificConsumptionsEmailFurthermore https://meet.jit.si/ScientificConsumptionsEmailFurthermore

❤7

3 Nov 2026, 10:48 UTC≈1,270 views28 reactionsread 7 November 2026
Photo

🚀 Сегодня в 21:00 мск пятый урок открытого бесплатного курса «Что под капотом у ИИ» 📌 Обсудим: 1) Критерии приёмки 2) Пример дрифта из личной практики 3) Эксперимент контроля качества при помощи ИИ 💡 Формат - живой созвон. Можно задавать вопросы прямо во время урока. 🎥 Запись будет, участие бесплатное. Ссылка на созвон появится на канале за 5 минут до старта

🔥28

30 Oct 2026, 13:39 UTC≈1,930 views23 reactionsread 7 November 2026
Photo

Запись 4 урока курса «Что под капотом у ИИ» 1) Типы задач 2) Уровни управления ИИ 3) Вайб-кодинг 4) Критерии приёмки https://youtu.be/0j4REo67I8M

🔥19👏3🥰1

27 Oct 2026, 07:41 UTC≈2,420 views29 reactionsread 7 November 2026
Photo

🚀 Сегодня в 21:00 мск четвёртый урок открытого бесплатного курса «Что под капотом у ИИ» 📌 Обсудим: 1) Типы задач 2) Уровни управления ИИ 3) Вайб-кодинг 4) Критерии приёмки 💡 Формат - живой созвон. Можно задавать вопросы прямо во время урока. 🎥 Запись будет, участие бесплатное. Ссылка на созвон появится на канале за 5 минут до старта

🔥22❤7

24 Oct 2026, 10:11 UTC≈2,350 views33 reactionsread 7 November 2026
Photo

📂 Авторские каналы про тестирование в одной папке Мы с коллегами (авторами каналов про qa) регулярно проводим ревью этих каналов. Оставляем тех, кто пишет по делу и делится реальным опытом. Что внутри? ▫️ Практика ручного и автоматизированного тестирования ▫️ Рабочие находки и разборы от практикующих специалистов ▫️ Разные взгляды на профессию Мой канал там тоже есть 😎 Можно добавить всю папку, познакомиться с ав…

🔥30❤2👍1

23 Oct 2026, 08:38 UTC≈2,100 views30 reactionsread 7 November 2026
Photo

Запись 2 части 3 урока курса «Что под капотом у ИИ» «Галлюцинации, RAG, Fine-tuning» https://youtu.be/gWagLM9MSeg

🔥27❤3

21 Oct 2026, 10:22 UTC≈2,370 views10 reactionsread 7 November 2026
Advertisementerid 2VtzqvqniTPVideo

Кажется, пора выяснить, где вообще место QA в разработке, когда ИИ уже вовсю ускоряет написание кода 🤓 27 октября AvitoTech собирает QA-комьюнити в петербургском офисе. Причём в этот раз участники смогут сами покопаться в процессе в формате воркшопа. Воркшоп — это живой интерактив, где вы не просто слушаете доклады, а активно включаетесь в работу. На воркшопе разберутся: — что не так с классическим SDLC в условиях …

👍9❤1

20 Oct 2026, 07:36 UTC≈3,110 views37 reactionsread 7 November 2026
Photo

🚀 Сегодня в 21:00 мск вторая часть третьего урока «Что под капотом у ИИ» 📌 Обсудим: 4) RAG: как подключить модель к своим данным и получать ответы на основе актуальных источников 5) Fine-tuning: когда имеет смысл дообучать модель, а когда достаточно промпта или RAG 💡 Формат - живой созвон. Можно задавать вопросы прямо во время урока. 🎥 Запись будет, участие бесплатное. Ссылка на созвон появится на канале за 5 …

🔥37

Showing the 12 most recent of 43 posts we hold for @qa_road_channel. 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

@qa_road_channel edited 1 post 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
12 August 2026
Most recent edit
12 August 2026

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 10 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.

QA Sklad - Склад тестировщика
@qa_sklad · 23,104
Telegram ranks this channel #30 of 94 here — alongside 93 others — read 18 September 2026
Artsiom Rusau QA Life - Тестировщик с нуля
@qachanell · 30,157
Telegram ranks this channel #41 of 92 here — alongside 91 others — read 7 September 2026
Серьезный тестировщик 🐞
@serious_tester · 29,754
Telegram ranks this channel #68 of 92 here — alongside 91 others — read 7 September 2026
Тестировщик от бога
@godoftesting · 29,186
Telegram ranks this channel #75 of 90 here — alongside 89 others — read 8 September 2026
IT Events 📆 АйТи События
@itevents · 17,287
Telegram ranks this channel #76 of 94 here — alongside 93 others — read 30 September 2026

This channel appears in 5 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 5 November 2026 — this entry's latest reading, not the date you are reading this.

“QA_Road_channel” (@qa_road_channel), 7,121 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/qa_road_channel.

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.