Other / unclassifiable — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 45% 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
34 measurements spanning 44 days, net -97. 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 17,366–17,550 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 34
Measured (UTC)
Subscribers
Change
19 Sept 2026, 04:37
17,432
+8
16 Sept 2026, 18:39
17,424
+24
14 Sept 2026, 23:18
17,400
+7
13 Sept 2026, 11:01
17,393
+3
11 Sept 2026, 15:20
17,390
-3
9 Sept 2026, 00:00
17,393
+2
5 Sept 2026, 15:38
17,391
-8
3 Sept 2026, 16:17
17,399
+3
2 Sept 2026, 07:04
17,396
-2
1 Sept 2026, 04:14
17,398
+3
31 Aug 2026, 00:57
17,395
-2
30 Aug 2026, 01:45
17,397
+10
28 Aug 2026, 22:25
17,387
-4
28 Aug 2026, 01:14
17,391
+1
27 Aug 2026, 01:02
17,390
-3
25 Aug 2026, 22:34
17,393
-5
24 Aug 2026, 21:13
17,398
-11
23 Aug 2026, 05:58
17,409
-15
21 Aug 2026, 20:37
17,424
-9
20 Aug 2026, 15:24
17,433
first reading
Engagement
25 posts held, back to 7 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 54 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
4.35%
avg views ÷ 17,432 subscribers
Avg views / post
759
8 posts measured
Reaction rate
1.27%
reactions ÷ views · ER floor
Posts in window
8
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 1 September 2026
Posts held
25 (7 July 2026 – 1 September 2026)
Views total
6,071
Reactions total
77
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 09:18 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
4m 00s
Average length
40s
Measured directly from 6 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
338 reactions across 25 posts, in 10 distinct kinds. The most used accounts for 36.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
122
36.1%
❤
92
27.2%
👍
51
15.1%
👎
41
12.1%
🎉
15
4.44%
✍
9
2.66%
😁
5
1.48%
👀
1
0.296%
🙏
1
0.296%
🤩
1
0.296%
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 25 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 338 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 7 July 2026 to 1 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.
Клиент давно не писал. Вы тоже.
Но сейчас его задача снова может быть актуальна: закончились отпуска, начинается учебный сезон, после лета люди возвращаются к тренировкам/занятиям/новым рабочим проектам.
Хороший повод выйти на связь. Подсказываем, что можно написать.
Общая формула такая:
напомнить контекст → показать, что помните задачу → предложить один следующий шаг → задать простой вопрос.
Шаблоны сообщений 🤓
…
Найти мастера, которому доверишь ремонт квартиры или строительство дома, — тот ещё квест. Но представьте, что за него уже поручились соседи ✔️
27% россиян до сих пор выбирают специалистов по ремонту и строительству именно так — по советам друзей и соседей. Это главный фактор доверия!
Мы решили не ломать традицию, а сделать её цифровой. Поэтому запустили пилотную функцию «Соседи рекомендуют» в категориях: «Строител…
58 рабочих дней из 92 возможных за лето. Представили, как выглядит такой календарь? 🙂
А для ведущего мероприятий Максима Тайгера это реальность. Около 70% заказов он получает через Авито Услуги и признаётся: именно летний сезон во многом определяет результат всего года.
Но к нему он пришёл не сразу. Были периоды, когда приходилось искать своё позиционирование, экспериментировать с продвижением и конкурировать с тем…
Продвижение работает. Но как понять, приносит ли оно результат? 🤔
Можно получать просмотры и обращения, но без анализа сложно понять, какие действия реально приводят к заказам, а где бюджет уходит впустую.
27 августа в 11:00 по Москве проведём бесплатный вебинар и разберём, как оценивать эффективность продвижения услуг через воронку продаж.
Поговорим о том:
*️⃣ как устроен спрос на Авито Услугах и какие возможност…
Может, у таких заказчиков в сутках 25 часов, а мы просто не знаем 😁
Срочные заказы вообще живут по своим законам. Есть несколько моментов, которые лучше обсудить заранее.
1️⃣ Сначала можете задать вопрос:
«Что будет, если сделать на день позже?»
Он помогает понять, насколько срок действительно важен. Если ответ: «Да ничего, просто хотелось бы быстрее» — можно предложить обычный срок и цену.
А если завтра запуск,…
Фантастические нейросети, и как их приручить 🐉
Если у вас своё дело, нейросети могут забрать часть рутины на себя. Главное — выбрать подходящую. Собрали пять вариантов и объясняем без сложных терминов: когда использовать и как поставить задачу.
🎨🎨🎨🎨
🎨🎨🎨🎨
🎨🎨🎨🎨
🎨🎨🎨🎨
🎨🎨🎨🎨
🎨🎨🎨🎨
ChatGPT — многорукий грифон
Универсальный помощник на каждый день: написать ответ клиенту, придумать несколько вариантов предложения, разобрать…
Хорошая привычка для бизнеса — иногда смотреть, как работают другие. Причём не только коллеги 👀
Поэтому в подкасте мы знакомим вас с исполнителями из разных сфер. Можно подсмотреть, как они организуют работу, общаются с клиентами и развивают своё дело, в том числе при помощи Авито Услуг.
В третьем выпуске подкаста с исполнителями поговорили с Аллой Тарасовой, профессиональным байером. Несколько лет она организует в…
Вы заслуживаете больше клиентов и больше продаж!
А для роста нужна система, которая помогает привлекать клиентов и доводить их до сделки. Об этом и поговорим 20 августа на бесплатном онлайн-митапе для руководителей и предпринимателей от Авито Услуг и Битрикс24⚡️
За полтора часа разберём, как находить больше клиентов, использовать AI-помощника в продажах и с помощью вайбкодинга создавать нужные бизнесу инструменты б…
🔥11🎉4👎2❤1👍1
Showing the 12 most recent of 25 posts we hold for @avito_uslugi. 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
@avito_uslugi 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
10 August 2026
Most recent edit
10 August 2026
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.
Авито для бизнеса @avito_b2b · 131,398 Telegram ranks this channel #6 of 82 here — alongside 81 others — read 20 August 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list 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.
“Авито Услуги” (@avito_uslugi), 17,432 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/avito_uslugi.
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.