Рассказываем, что у Авито под капотом, делимся инженерной экспертизой и зовём на митапы.
По всем вопросам: @direct_avitotech
Сайт: https://avito.tech
Хабр: habr.com/ru/company/avito
Гитхаб: github.com/avito-tech
Регистрация в РКН: https://clc.to/FOxC1A
Created
8 November 2016 — measured — cross-checked against a third-party dataset (ext.tg_channel)
16 measurements spanning 16 days, net +89. 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 25,117–25,232 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
21 Aug 2026, 20:27
25,219
+4
20 Aug 2026, 18:53
25,215
+14
19 Aug 2026, 15:29
25,201
-1
18 Aug 2026, 18:34
25,202
+4
17 Aug 2026, 19:53
25,198
+8
16 Aug 2026, 16:24
25,190
+6
14 Aug 2026, 23:58
25,184
+5
13 Aug 2026, 16:07
25,179
+16
12 Aug 2026, 16:53
25,163
+9
11 Aug 2026, 13:34
25,154
+14
10 Aug 2026, 10:48
25,140
+6
9 Aug 2026, 14:11
25,134
+4
8 Aug 2026, 15:10
25,130
-2
7 Aug 2026, 18:34
25,132
-3
6 Aug 2026, 16:03
25,135
+5
6 Aug 2026, 03:17
25,130
first reading
Engagement
27 posts held, back to 18 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 35 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
22.5%
avg views ÷ 25,219 subscribers
Avg views / post
5,660
23 posts measured
Reaction rate
0.553%
reactions ÷ views · ER floor
Posts in window
23
of 27 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 21 August 2026
Posts held
27 (18 July 2026 – 21 August 2026)
Views total
130,290
Reactions total
721
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
22 Aug 2026, 19:35 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
≈2,030
Videos
≈172
Links
≈1,810
Lifetime counters from Telegram’s own channel header, read 22 August 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
7m 42s
Average length
42s
Measured directly from 11 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
891 reactions across 26 posts, in 13 distinct kinds. The most used accounts for 30.2% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
269
30.2%
❤
255
28.6%
👍
141
15.8%
👎
65
7.30%
🤩
43
4.83%
😁
39
4.38%
❤🔥
32
3.59%
⚡
20
2.24%
custom 5328229070415081564
12
1.35%
💯
6
0.673%
🌚
4
0.449%
😱
3
0.337%
💔
2
0.224%
Custom emoji. One row above is a 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 count beside it isTelegram’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 27 of the 27 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 891reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 27 most recent posts we hold, published 18 July 2026 to 21 August 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.
❌ Скроллить рилсы
✅ Скроллить наши стримовые каналы из папки
↖️ Нажимайте кнопку ниже и подписывайтесь сразу на все (или на некоторые). А вот полный список каналов с описанием:
✨ AvitoDataTech
Здесь собираем все статьи и заметки от наших экспертов о развитии аналитической платформы;
✨ Свободный слот
Открыто и честно о том, каково быть руководителем и как им стать;
✨ Avito SREда
Про SRE без воды и прикрас;
✨ Не воспр…
Вышла Go 1.27 — что поменялось? 🧑💻
Павел Агалецкий, техлид команды платформы разработки Авито, прошёлся по свежему релизу и поделился своими находками за 20 минут 🔥
🔍 Из заметного: наконец-то generic-методы в структурах, JSON V2 без экспериментального флага, UUID прямо в стандартной библиотеке, переносимый SIMD и рантайм, который стал лучше ловить утечки горутин. Плюс приятные мелочи в go test и go mod tidy.
Смот…
Как понять, какие из сотен моделей работают не так эффективно, как другие? Создать для них единую метрику 👀
Но как это сделать, если каждая модель — это часть длинной цепочки, где звенья работают автономно? Аня Шатшнайдер поделилась кейсом, как это удалось сделать команде антифрода.
Читаем по ссылке — особенно, если работаете сразу с несколькими ML-моделями 😎
#ml
Заходят однажды в бар бэкендер, фронтендер и QA… Как мы это поняли?
Они подали заявку на нашу новую стажировку
В этот раз открываем набор на 5 направлений: бэкенд, фронтенд, QA, Android и iOS. Из общих требований:
✨ Обучение на 2−4-м курсе бакалавриата, 4−5-м курсе специалитета или наличие диплома по технической, математической или IT-специальности;
✨ Возможность работать от 25 часов в неделю, а после стажировки — п…
Продолжаем пересказывать наши большие материалы при помощи котиков 👀
На этот раз — статью Антона Алексеева о том, как мы строим ML-платформу на базе Kubeflow: как мы к этому пришли, с какими проблемами столкнулись и как их решали. И да, ещё немного про агентские платформы!
По-классике, если 44-секундного видео мало — велком по ссылке на полную статью 🤓
#ml
FinOps, P&L, LTM, SRE… Как последнее сюда вообще затесалось?
Лучше не спрашивайте, а слушайте новый выпуск ребят из подкаста «В SREду на кухне», в котором они обсудили:
✨ Кто реально отвечает за инфраструктурный счёт;
✨ Нужен ли финансовым метрикам отдельный контур;
✨ Связаны ли FinOps и error budget;
✨ Как обучать инженеров финансовой грамотности без попытки превратить каждого разработчика в бухгалтера;
✨ Когда SR…
🧑💻 Дедлайн близко… Дедлайн по заполнению заявки на наш бесплатный онлайн-курс для QA-инженеров 🏃♀️
Если готовы за 4 месяца пройти весь цикл работы QA в Авито под руководством экспертов — у вас ещё есть шанс попасть на программу по ссылке.
⬆️ Там же мы оставили и все остальные важные подробности!
#qa
Котики объясняют! 👀
В этот раз разбираем паттерны организационного дизайна. Игорь Гранщиков, руководитель разработки Авито Недвижимости, собрал практическое руководство на основе своего доклада на Saint TeamLead Conf 2025.
↖️ Так что, если захотелось изучить вопрос подробнее — читайте статью!
#tl
Showing the 12 most recent of 27 posts we hold for @avitotech. 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.
Citation-graph rank
Citation-graph rank — 21,419 of 1,583,249entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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 17 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.
Avito Career @avito_career · 64,808 Telegram ranks this channel #2 of 98 here — alongside 97 others — read 21 August 2026
Selectel @Selectel · 63,648 Telegram ranks this channel #19 of 96 here — alongside 95 others — read 21 August 2026
Карьера в Сбере! @careersber · 137,194 Telegram ranks this channel #28 of 96 here — alongside 95 others — read 13 August 2026
Т-Образование @tbank_education · 111,628 Telegram ranks this channel #41 of 91 here — alongside 90 others — read 14 August 2026
Школа 21 @school21sber · 73,103 Telegram ranks this channel #47 of 94 here — alongside 93 others — read 19 August 2026
Young&&Yandex @Young_and_Yandex · 110,431 Telegram ranks this channel #55 of 92 here — alongside 91 others — read 14 August 2026
Young & Junior - вакансии IT @young_june · 71,785 Telegram ranks this channel #86 of 99 here — alongside 98 others — read 20 August 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 21 August 2026 — this
entry's latest reading, not the date you are reading this.
“AvitoTech” (@avitotech), 25,219 subscribers as measured 21 August 2026. Telegram Register, tgregister.com/channel/avitotech.
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.
