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Telegram profile photo for X5 Tech

Channel

X5 Tech

@x5_tech

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

10,933subscribers

+494 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001442579184
TypeChannel
Username@x5_tech
DescriptionВсё о технологиях в ритейле О команде — x5.tech
Created14 March 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live4 November 2026
Measurements held55
Confirmed unchanged1 time, most recently 4 November 2026
On Telegramt.me/x5_tech

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 11 September 2026 and assigned it the closest of 31 fixed categories, at 93% 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

10,43610,93810,6876 August 2026 — 10,439 subscribers6 August 2026 — 10,439 subscribers9 August 2026 — 10,440 subscribers10 August 2026 — 10,438 subscribers11 August 2026 — 10,436 subscribers12 August 2026 — 10,443 subscribers13 August 2026 — 10,445 subscribers14 August 2026 — 10,459 subscribers16 August 2026 — 10,463 subscribers17 August 2026 — 10,460 subscribers18 August 2026 — 10,465 subscribers19 August 2026 — 10,469 subscribers20 August 2026 — 10,475 subscribers22 August 2026 — 10,480 subscribers24 August 2026 — 10,483 subscribers25 August 2026 — 10,474 subscribers26 August 2026 — 10,490 subscribers27 August 2026 — 10,503 subscribers28 August 2026 — 10,511 subscribers29 August 2026 — 10,516 subscribers30 August 2026 — 10,519 subscribers1 September 2026 — 10,522 subscribers2 September 2026 — 10,631 subscribers3 September 2026 — 10,636 subscribers5 September 2026 — 10,639 subscribers8 September 2026 — 10,657 subscribers11 September 2026 — 10,704 subscribers13 September 2026 — 10,723 subscribers15 September 2026 — 10,736 subscribers17 September 2026 — 10,748 subscribers25 September 2026 — 10,760 subscribers4 October 2026 — 10,770 subscribers8 October 2026 — 10,826 subscribers13 October 2026 — 10,844 subscribers14 October 2026 — 10,851 subscribers15 October 2026 — 10,873 subscribers16 October 2026 — 10,874 subscribers17 October 2026 — 10,875 subscribers18 October 2026 — 10,871 subscribers19 October 2026 — 10,876 subscribers20 October 2026 — 10,883 subscribers21 October 2026 — 10,888 subscribers22 October 2026 — 10,893 subscribers23 October 2026 — 10,901 subscribers24 October 2026 — 10,903 subscribers25 October 2026 — 10,902 subscribers26 October 2026 — 10,904 subscribers27 October 2026 — 10,914 subscribers28 October 2026 — 10,917 subscribers29 October 2026 — 10,918 subscribers30 October 2026 — 10,925 subscribers1 November 2026 — 10,920 subscribers2 November 2026 — 10,927 subscribers3 November 2026 — 10,938 subscribers4 November 2026 — 10,933 subscribers10,9336 August 20264 November 2026
55 measurements spanning 91 days, net +494. 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 10,361–11,013 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 55
Measured (UTC)SubscribersChange
4 Nov 2026, 18:3610,933-5
3 Nov 2026, 20:4510,938+11
2 Nov 2026, 17:3510,927+7
1 Nov 2026, 17:3910,920-5
30 Oct 2026, 19:5010,925+7
29 Oct 2026, 21:1910,918+1
28 Oct 2026, 17:4710,917+3
27 Oct 2026, 14:2610,914+10
26 Oct 2026, 14:1710,904+2
25 Oct 2026, 17:3610,902-1
24 Oct 2026, 19:5010,903+2
23 Oct 2026, 20:2710,901+8
22 Oct 2026, 21:2710,893+5
21 Oct 2026, 15:4910,888+5
20 Oct 2026, 11:4010,883+7
19 Oct 2026, 11:2710,876+5
18 Oct 2026, 11:1110,871-4
17 Oct 2026, 13:0710,875+1
16 Oct 2026, 11:3710,874+1
15 Oct 2026, 14:2810,873first reading

Engagement

18 posts held, back to 15 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 42 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
20.6%
avg views ÷ 10,933 subscribers
Avg views / post
2,250
10 posts measured
Reaction rate
1.31%
reactions ÷ views · ER floor
Posts in window
10
of 18 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
WindowRolling 30 days · latest post in window 3 November 2026
Posts held18 (15 July 2026 – 3 November 2026)
Views total22,540
Reactions total296
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken4 Nov 2026, 19:43 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
≈2,360
Videos
≈62
Links
≈820

Lifetime counters from Telegram’s own channel header, read 4 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
3m 52s
Average length
1m 17s

Measured directly from 3 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

540 reactions across 18 posts, in 12 distinct kinds. The most used accounts for 34.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥18634.4%
❤10619.6%
custom 54427645266656291047814.4%
👍7113.1%
🎉295.37%
custom 5260549594240012674275.00%
😁132.41%
🤔101.85%
👎91.67%
custom 544936694366654371581.48%
🌚20.37%
🤝10.185%

Custom emoji. 3 of the rows above are 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 counts beside them are Telegram’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 18 of the 18 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 540 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 15 July 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.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 10 posts held from the last 30 days (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).

3 Nov 2026, 14:18 UTC≈1,280 views14 reactionsread 4 November 2026
Photo

😈 Разыскивается человек, перед которым не устоит ни один карьерный миф Монстр Токс уже вышел на охоту и прячется за щитом прокрастинации. Ему нужен тот, кто поверит в его ядовитые заблуждения. Остановить его может только кандидат, которого мифами не возьмёшь. Если это ты, проверь себя в игре от Changellenge. Внутри мифы о старте карьеры, которые предстоит разрушить, и реальные истории о том, как начинают в X5 Tech,…

❤6🔥4custom 54427645266656291044

30 Oct 2026, 08:15 UTC≈2,130 views17 reactionsread 4 November 2026

Posted without readable text

❤6🎉5🔥3👍2🌚1

29 Oct 2026, 11:30 UTC≈2,140 views39 reactionsread 4 November 2026
Video

Графики красивые, но A/B-тесты врут В новой статье на Хабре старший инженер Матвей Пришибилович и начальник отдела Никита Беляев собрали 11 вредных советов, как испортить A/B-эксперимент и получить красивые, но бесполезные результаты. Вот три из них: • ежедневно проверять результаты и останавливать тест, как только метрика покажет рост; • включать в эксперимент пользователей, которые даже не видели новую фичу; • д…

🔥20👍10❤5custom 54427645266656291044

29 Oct 2026, 06:33 UTC≈1,910 views57 reactionsread 4 November 2026
Photo

Как получить больше, если тратить меньше? Чижик разобрался с этим за шесть лет 🐣 Он не стал строить огромные магазины и заполнять полки десятками одинаковых товаров. Вместо этого сделал ставку на компактные залы, небольшой ассортимент, простое оформление и отлаженные процессы. Лишних затрат стало меньше, а выгоды для покупателей больше. Так Чижик открыл тысячи магазинов и стал одним из самых быстрорастущих брендов X…

🔥24🎉14custom 54493669436665437158❤5😁4👍2

28 Oct 2026, 11:15 UTC≈2,020 views27 reactionsread 4 November 2026

Posted without readable text

❤10🔥10👍6🌚1

26 Oct 2026, 07:34 UTC≈2,340 views45 reactionsread 4 November 2026
Photo

Анжела Шумилова, ML-инженер X5 Tech, выступила на HardFest и рассказала, сколько видеокарт на самом деле нужно нейросети. Путь к HardFest начался с внутренней школы спикеров X5 Tech, а дальше были месяцы подготовки и репетиций. Как всё прошло, Анжела рассказывает в карточках выше. Полезные ссылки: #️⃣ Калькулятор по мотивам доклада, чтобы посчитать железо самостоятельно 🇷🇺 Запись доклада на RUTUBE 📱 Запись докла…

🔥25👍10custom 544276452666562910410

24 Oct 2026, 08:05 UTC≈2,920 views32 reactionsread 4 November 2026
Video

Нейросеть, которая знает вашу систему не хуже аналитика Григорий Звягинцев, старший специалист по тестированию в X5 Tech, недавно пришёл в новую команду. Чтобы быстрее онбордиться, он решил сделать помощника, который умеет искать документацию, смотреть в базы и сверяться с тест-кейсами. В новой статье на Хабре он рассказал: • какие источники подключил; • на какие грабли наступил; • что пока не заработало. Рекоменд…

👍12🔥11❤5custom 54427645266656291044

23 Oct 2026, 08:04 UTC≈2,440 views18 reactionsread 4 November 2026
Photo

Если бы на первой работе можно было выбрать что-то одно Интересные задачи или зарплату повыше? Наставника, который всё объяснит, или свободу разбираться самому? Офис с командой или удалёнку из любого города? В жизни обычно приходится искать компромисс. Но знать, что для тебя главное, полезно в любом случае. Эти вопросы и задаёт Changellenge >> Best Company Award 2027, ежегодный рейтинг лучших работодателей по мнени…

custom 54427645266656291046❤5custom 52605495942400126745👍2

22 Oct 2026, 10:24 UTC≈2,840 views27 reactionsread 4 November 2026
Photo

ИИ пишет всё больше кода, но знает ли он, как этот код потом выполняет V8? 24 октября на HolyJS разработчик из X5 Tech Александр Зайцев, разберётся, что за лев этот Turbolev — новый компилятор в V8, который приходит на смену TurboFan. Доклад подойдёт всем, кто пишет на JS и TS (даже если вы ни разу не заглядывали внутрь движка). Если будете на конференции в Петербурге или онлайн, заходите на доклад: он пройдёт в з…

🔥11👍8custom 52605495942400126744custom 54427645266656291044

20 Oct 2026, 13:07 UTC≈2,520 views20 reactionsread 4 November 2026
Photo

Везём экспертизу X5 Tech на Mobius 2026 Autumn 21–22 октября встречаемся в Санкт-Петербурге и онлайне на конференции по мобильной разработке. Коллеги расскажут, как добились честных метрик сборок в большом монорепозитории, как разогнали ферму Mac mini с помощью ИИ-агента и что будет с грейдами разработчиков. Если будете на Mobius офлайн или онлайн, приходите на доклады. Если в этот раз не получается, задавайте воп…

🔥8custom 52605495942400126744custom 54427645266656291044👍2❤1🤝1

24 Aug 2026, 10:27 UTC≈1,480 views20 reactionsread 29 August 2026
Photo

Интернет строился для людей, а теперь его всё чаще читают машины В новой статье на Хабре разбираемся, как ИИ меняет поисковую выдачу и для чего сайты начинают делать отдельный слой для моделей — llms.txt. Остаётся главный вопрос: кому доверять — оригиналу или пересказу? Рекомендуем к прочтению всем, кто работает с контентом, документацией или ИИ-инструментами и хочет понять, куда движется сеть. 🔗 ссылка на статью

🔥9🤔6custom 54427645266656291045

19 Aug 2026, 11:10 UTC≈2,620 views50 reactionsread 29 August 2026
Photo

Привет! На связи Лёша Никулин, я продакт привлечения в команде Подбора Сферы Х5 Сегодня поделюсь, как мы запустили новый карьерный сайт и Личный кабинет кандидата. Спойлер – теперь путь кандидата становится проще и понятнее. Ведь узнать больше об X5, посмотреть возможности, оставить отклик или зарегистрироваться теперь можно в одном месте. А ещё в личном кабинете кандидат может следить за статусом, подключаться к…

🔥22custom 544276452666562910414❤11👎1🤔1custom 52605495942400126741

Showing the 12 most recent of 18 posts we hold for @x5_tech. 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 8 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.

Просто X5
@x5_telega · 18,924
Telegram ranks this channel #2 of 90 here — alongside 89 others — read 3 October 2026
AvitoTech
@avitotech · 25,801
Telegram ranks this channel #9 of 96 here — alongside 95 others — read 14 September 2026
Перекрёсток
@perekrestok_store · 124,556
Telegram ranks this channel #11 of 53 here — alongside 52 others — read 15 August 2026
Ozon Tech
@ozon_tech · 30,148
Telegram ranks this channel #13 of 98 here — alongside 97 others — read 8 September 2026
МТС Банк | Карьера
@mtsbankcareer · 30,411
Telegram ranks this channel #14 of 99 here — alongside 98 others — read 7 September 2026
Код Желтый
@kod_zheltyi · 33,537
Telegram ranks this channel #17 of 96 here — alongside 95 others — read 4 September 2026
T-Crew
@t_crew · 43,607
Telegram ranks this channel #17 of 95 here — alongside 94 others — read 29 August 2026
VK Team
@vkjobs · 25,871
Telegram ranks this channel #18 of 97 here — alongside 96 others — read 13 September 2026
Ozon Team
@ozonteam · 23,472
Telegram ranks this channel #21 of 89 here — alongside 88 others — read 19 September 2026
Avito Career
@avito_career · 67,394
Telegram ranks this channel #23 of 98 here — alongside 97 others — read 21 August 2026
Карьера в Альфа-Банке
@alfabank_career · 24,985
Telegram ranks this channel #26 of 95 here — alongside 94 others — read 15 September 2026
Alfa Digital
@alfadigital_jobs · 53,838
Telegram ranks this channel #26 of 99 here — alongside 98 others — read 24 August 2026
Злой коллега
@zloy_kollega · 44,778
Telegram ranks this channel #37 of 98 here — alongside 97 others — read 28 August 2026
Карьера в ВТБ
@vtb_career · 81,053
Telegram ranks this channel #37 of 93 here — alongside 92 others — read 23 August 2026
Yandex for Developers
@Yandex4Developers · 28,659
Telegram ranks this channel #38 of 94 here — alongside 93 others — read 9 September 2026
2ГИС Команда
@team2gis · 43,419
Telegram ranks this channel #49 of 90 here — alongside 89 others — read 27 August 2026
Карьера в Сбере!
@careersber · 134,446
Telegram ranks this channel #51 of 96 here — alongside 95 others — read 13 August 2026

This channel appears in 17 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.

“X5 Tech” (@x5_tech), 10,933 subscribers as measured 4 November 2026. Telegram Register, tgregister.com/channel/x5_tech.

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.