Telegram RegisterThe public register of Telegram
Telegram profile photo for RWB Тех

Channel

RWB Тех

@tech_rwb

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

15,294subscribers

+1,102 since we began measuring on 8 August 2026

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

Register entry

Telegram ID-1001533350227
TypeChannel
Username@tech_rwb
CreatedBetween 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live27 September 2026
Measurements held31
Confirmed unchanged1 time, most recently 27 September 2026
On Telegramt.me/tech_rwb

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 10 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 why it has no browse page of its own yet.

Growth

14,13015,29414,7128 August 2026 — 14,192 subscribers8 August 2026 — 14,192 subscribers9 August 2026 — 14,187 subscribers10 August 2026 — 14,177 subscribers11 August 2026 — 14,173 subscribers12 August 2026 — 14,170 subscribers15 August 2026 — 14,166 subscribers16 August 2026 — 14,161 subscribers17 August 2026 — 14,159 subscribers18 August 2026 — 14,142 subscribers19 August 2026 — 14,143 subscribers20 August 2026 — 14,141 subscribers22 August 2026 — 14,133 subscribers23 August 2026 — 14,131 subscribers25 August 2026 — 14,130 subscribers26 August 2026 — 14,157 subscribers26 August 2026 — 14,165 subscribers27 August 2026 — 14,158 subscribers28 August 2026 — 14,159 subscribers29 August 2026 — 14,160 subscribers30 August 2026 — 14,156 subscribers31 August 2026 — 14,154 subscribers2 September 2026 — 14,153 subscribers4 September 2026 — 14,141 subscribers6 September 2026 — 14,138 subscribers10 September 2026 — 14,134 subscribers12 September 2026 — 14,160 subscribers13 September 2026 — 14,141 subscribers15 September 2026 — 14,145 subscribers17 September 2026 — 14,142 subscribers27 September 2026 — 15,294 subscribers8 August 202627 September 2026
31 measurements spanning 51 days, net +1,102. 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 13,955–15,469 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 31
Measured (UTC)SubscribersChange
27 Sept 2026, 12:3815,294+1,152
17 Sept 2026, 17:2014,142-3
15 Sept 2026, 11:5614,145+4
13 Sept 2026, 23:1914,141-19
12 Sept 2026, 09:1814,160+26
10 Sept 2026, 03:5714,134-4
6 Sept 2026, 23:3614,138-3
4 Sept 2026, 09:3914,141-12
2 Sept 2026, 23:0614,153-1
31 Aug 2026, 20:3514,154-2
30 Aug 2026, 23:3514,156-4
29 Aug 2026, 20:0714,160+1
28 Aug 2026, 17:5514,159+1
27 Aug 2026, 19:3414,158-7
26 Aug 2026, 21:0514,165+8
26 Aug 2026, 00:0514,157+27
25 Aug 2026, 02:1814,130-1
23 Aug 2026, 16:4414,131-2
22 Aug 2026, 04:5714,133-8
20 Aug 2026, 20:5214,141first reading

Engagement

14 posts held, back to 14 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 48 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
11.7%
avg views ÷ 15,294 subscribers
Avg views / post
1,790
3 posts measured
Reaction rate
1.78%
reactions ÷ views · ER floor
Posts in window
3
of 14 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 2 September 2026
Posts held14 (14 July 2026 – 2 September 2026)
Views total5,380
Reactions total96
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken2 Sept 2026, 19:05 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.

Reaction mix

540 reactions across 13 posts, in 12 distinct kinds. The most used accounts for 35.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤19435.9%
👍15528.7%
🔥6011.1%
🤨346.30%
🆒264.81%
👏234.26%
👾203.70%
🥰132.41%
😁81.48%
💯30.556%
🎉20.37%
😍20.37%

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 13 of the 14 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 14 most recent posts we hold, published 14 July 2026 to 2 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.

Recent posts

2 Sept 2026, 12:00 UTC≈1,210 views24 reactionsread 2 September 2026
Photo

Как поместить 1000+ моделей в один ансамбль? Отвечает Лев Нечаев, руководитель команды «Автоматическая модерация методами ИИ» в RWB. Лев рассказал, как команда успешно применяет детекторы на основе векторного поиска в модерации контента на маркетплейсе. В статье: • почему традиционные классификаторы и few-shot перестают работать при росте числа брендов; • как мы собрали и очистили датасет, избежав перекоса по кате…

👍13❤7👏4

1 Sept 2026, 15:20 UTC≈1,960 views51 reactionsread 2 September 2026

Posted without readable text

👍28❤13👏7🎉2🥰1

1 Sept 2026, 11:14 UTC≈2,210 views21 reactionsread 2 September 2026
Photo

Как оценивать сложность задач технических писателей и понимать реальную загрузку команды Рассказала Евгения Красильникова, технический писатель в команде разработки документации и методик обучения ПО. Чтобы выработать единый подход к оценке задач, команда выделила два ключевых параметра — объем изменений и уровень исследования — и на их основе собрала матрицу сложности. Затем с помощью ИИ превратила её в простой ка…

❤8👍8🥰3😍2

26 Aug 2026, 16:07 UTC≈3,690 views28 reactionsread 2 September 2026
Photo

Что делать, если классический A/B-тест не работает из-за конфаундеров и сетевых эффектов? Рассказал Платон Попов, дата-аналитик в команде A/B-платформы RWB, на примере кейса оценки эффекта таргетированной рекламы в ПВЗ. Сначала использовали Propensity Score Matching (PSM), но метод не прошёл валидацию: доля ложноположительных результатов оказалась выше допустимого уровня. ➡️ Тогда перешли к Double Machine Learning …

👍13❤10🆒5

25 Aug 2026, 11:00 UTC≈3,500 views47 reactionsread 2 September 2026
Photo

🟣Дайджест полезного🟣 Через неделю осень — подводим итоги насыщенных месяцев работы. Мы много кодили, улучшали продукты и процессы, а ещё выступали на профессиональных мероприятиях и организовывали собственные, участвовали в хакатонах и проводили стажировки. Делимся полезными ссылками, а ещё больше летних событий — в каналах tech-команд Ecom.tech, MAGNIT TECH, Lamoda Tech, Data Fusion (ВТБ) и Купер.тех. 1️⃣ BerryLM…

❤20👾11👏9👍7

21 Aug 2026, 08:55 UTC≈4,060 views24 reactionsread 2 September 2026
Forwarded from @rwb_delaet_mlPhoto

Как мы внедрили AIOps для контроля GPU-утилизации и повысили её на 60 процентов В RWB команда ML-платформы построила поверх мониторинга отдельный слой для управления такими кейсами на базе open source KeepHQ. Через систему прошло около 400 тысяч событий, а дедупликация составила ~99%. В новой статье на Хабре рассказываем, как устроили жизненный цикл алерта — от поиска владельца и сохранения контекста до автоматиче…

❤13👍8👏3

19 Aug 2026, 14:18 UTC≈4,680 views104 reactionsread 2 September 2026
Photo

Запустили собственный сервис для сокращения ссылок WB Link Можно сокращать длинные ссылки и мгновенно генерировать QR-коды. Без регистрации и СМС — пользуйтесь сами и отправляйте коллегам :)

❤38🤨34👍17🆒9😁6

18 Aug 2026, 09:08 UTC≈4,660 views43 reactionsread 2 September 2026
Forwarded from @rwb_delaet_mlPhoto

Учим небольшую LLM с нуля: гибридное внимание, XSA, доменные бленды и загадки роста онлайн-бенчмарков Команда обучения и инференса RWB обучила текстовую версию Qwen3.5-2B с нуля — без pretrained-весов. В статье разбираем весь путь: от сборки доменных датасетов и Megatron-LM до online-оценки и экспериментов с архитектурой 👆 Хайлайты: ⏹️ обучили модель сначала на 1, затем на 11 трлн токенов ⏹️ протестировали XSA и п…

❤22👍12👾9

4 Aug 2026, 16:04 UTC≈5,910 views40 reactionsread 2 September 2026

Сколько запросов делает ваш фронтенд, чтобы отрисовать один экран? Разбираемся с BFF (Backend for Frontend) — слоем между интерфейсом и доменными сервисами, который берёт на себя агрегацию данных, кэширование и защиту от нестабильности внутренних систем. О том, как BFF применяют в RWB, расскажут Александр Краснянский, Frontend Lead команды РКИ, и Сергей Корень, Backend Lead главной страницы и онбординга Портала Про…

❤17🆒12👍11

17 Jul 2026, 15:26 UTC≈6,310 views40 reactionsread 2 September 2026
Photo

Половина лета прошла, что успели? Наши коллеги — выпуститься из университета, сходить в поход, построить на сап-доске парусник и многое другое. Рассказываем, как проводят лето наши инженеры, аналитики и тестировщики (когда не сидят за компьютером 🤭).

❤23🔥11👍6

16 Jul 2026, 12:30 UTC≈6,500 views25 reactionsread 2 September 2026

⭐️⭐️ Уже сегодня — RWB TechDocs Meetup! Включайте трансляцию в 16:00: ⏹️VK ⏹️YouTube

🔥14👍6❤5

Showing the 12 most recent of 14 posts we hold for @tech_rwb. 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.

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 5 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.

Wildberries News
@wildberriesofficialcustomer · 48,446
Telegram ranks this channel #68 of 81 here — alongside 80 others — read 26 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 27 September 2026 — this entry's latest reading, not the date you are reading this.

“RWB Тех” (@tech_rwb), 15,294 subscribers as measured 27 September 2026. Telegram Register, tgregister.com/channel/tech_rwb.

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.