Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 8 August 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
35 measurements spanning 52 days, net +58,026. 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 535,889–615,744 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)
Subscribers
Change
27 Sept 2026, 02:58
606,530
+23,906
17 Sept 2026, 12:21
582,624
-932
15 Sept 2026, 08:19
583,556
-612
13 Sept 2026, 18:17
584,168
-128
12 Sept 2026, 00:18
584,296
-718
9 Sept 2026, 13:38
585,014
-1,118
6 Sept 2026, 05:42
586,132
+62
3 Sept 2026, 22:16
586,070
-286
2 Sept 2026, 12:53
586,356
-491
1 Sept 2026, 12:33
586,847
-378
31 Aug 2026, 13:25
587,225
-144
30 Aug 2026, 14:05
587,369
+335
29 Aug 2026, 12:18
587,034
+1,801
28 Aug 2026, 13:43
585,233
+8,863
27 Aug 2026, 10:54
576,370
+6,191
26 Aug 2026, 14:04
570,179
+14,369
25 Aug 2026, 13:24
555,810
-2,200
24 Aug 2026, 11:34
558,010
+620
22 Aug 2026, 19:58
557,390
+582
21 Aug 2026, 10:47
556,808
first reading
Engagement
117 posts held, back to 31 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 108 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
4.55%
avg views ÷ 606,530 subscribers
Avg views / post
27,600
69 posts measured
Reaction rate
0.444%
reactions ÷ views · ER floor
Posts in window
69
of 117 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 26 September 2026
Posts held
117 (31 July 2026 – 26 September 2026)
Views total
1,904,880
Reactions total
8,454
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
27 Sept 2026, 19:34 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
≈3,400
Videos
≈1,470
Links
≈2,440
Lifetime counters from Telegram’s own channel header, read 27 September 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
2h 39m
Average length
2m 20s
Measured directly from 68 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
13,714 reactions across 113 posts, in 93 distinct kinds. The most used accounts for 33.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
4,603
33.6%
👍
1,860
13.6%
🔥
1,793
13.1%
custom 5226698783726776506
1,349
9.84%
👎
577
4.21%
🤔
348
2.54%
custom 5379977151384667157
258
1.88%
😍
228
1.66%
custom 5364085579115960762
193
1.41%
custom 5278520836918124060
154
1.12%
custom 5312538086003997667
123
0.897%
custom 5377658663613797491
109
0.795%
custom 5334612822041066502
95
0.693%
custom 5314405065337900702
82
0.598%
custom 5373292618903989946
73
0.532%
custom 5235792393428572753
72
0.525%
custom 5222456386830510317
71
0.518%
custom 5224489014463078694
70
0.51%
custom 5379914384732604749
67
0.489%
custom 5303346263285073331
66
0.481%
73 further kinds
1,523
11.1%
Custom emoji. 14 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 117 of the 117 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 14,117 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 117 most recent posts we hold, published 31 July 2026 to 26 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.
Advertising
Ad load
2.56%
3 of 117 posts carry an ad marker
Regulatory tokens
3
posts carrying an erid · 3 distinct tokens
Median views · ads
106,000
over 3 measured posts
Median views · rest
18,100
over 114 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
erid
Posts
First seen
Last seen
CQH36pWzJqE1dR7Fk55uSJdU5XDwXhkXNxGGpwsPtqJksJ
1
8 September 2026
8 September 2026
CQH36pWzJqE1dR7FmB2pdvWuQpfyd4gEmAgZVLtmfbEWJZ
1
21 September 2026
21 September 2026
CQH36pWzJqE1dR7FuZ8VXKQnZsv3AXmjHd4tnmJikBC6yK
1
10 September 2026
10 September 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 117 most recent posts we hold, published 31 July 2026 to 26 September 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.
💜 Когда к Алисе можно будет подключить GPT? И выпустит ли Яндекс свой домофон? На эти и другие вопросы читателей ответил Дмитрий Тимко — директор по продукту Алисы AI и Умных устройств Яндекса.
Кому ещё из Яндекса вы хотели бы задать вопросы? Напишите в комментариях.
Подписывайтесь 👉 @techno_yandex
🔴 «Держаться в программировании позволяет увидеть будущее изнутри». Александр Мельков работает в Яндексе 26 лет и в этом видео рассказывает, каково это — быть в рядах первых сотрудников компании и наблюдать, как она с каждым годом строится и расширяется.
↘️ А в этом видео вспоминаем, каким был мир 29 лет назад, когда история Яндекса только начиналась.
👉 Присоединяйтесь к нашей команде
🌷 Хэллоу, салют, мераба. Возьмите в путешествие этот промпт для Алисы Al. Нейросеть составит базовые фразы на местном языке и научит их произносить. А также расскажет о правилах этикета и популярных жестах.
Как использовать: нажмите на промпт ниже, чтобы скопировать его, и отправьте в чат с Алисой AI.
Ты профессиональный лингвист и преподаватель иностранных языков с 12-летним опытом подготовки путешественников к по…
🤖 Встречайте роботов-доставщиков в центре Петербурга! Да-да, теперь они привезут ваш заказ и в Центральный район. Показали его на этой карте вместе с остальными зонами рободоставки в городе.
👉 Смотрите выпуск «ПРОДа»: провели подробную экскурсию по фабрике, где создают роботов-доставщиков, показали мир их глазами и ответили на популярные вопросы о рободоставке.
Подписывайтесь 〰️ @yandex
Чтобы отвечать на сложные вопросы, нейросеть сначала учится самому простому — продолжать текст. Рассказываем, как это работает.
В основе LLM — миллиарды числовых параметров, или весов. Они определяют, как нейросеть преобразует входные данные (ваш запрос) в результат. При обучении алгоритм сравнивает результат с ожидаемым и постепенно корректирует веса. Оно происходит в два этапа.
Предобучение: освоить язык и набрат…
↗️ Карты, Сейвы, два Сплита — всё это про Яндекс Пэй — платёжный сервис, который появился всего пять лет назад и быстро полюбился пользователям за уникальные фичи — мгновенный кешбэк, оплату картами любых банков, ежедневные проценты по счёту, автопополнение и многое другое.
В новом выпуске «ПРОДа» говорим с командой Яндекс Пэй — о том, каково было заходить на один из самых развитых финтех-рынков мира, как устроен се…
🔎 Главное с Yandex Scale — в одном посте. Сегодня на флагманской технологической конференции Yandex Cloud рассказали о новых решениях Yandex B2B Tech. Объясняем, кому и в каких ситуациях они будут полезны.
➕ Алиса AI Про для бизнеса — универсальный ИИ-агент
Подойдёт для банков, ритейлеров, промышленных корпораций и других компаний с особыми требованиями к хранению и обработке данных и тем, кому нужна гибкая кастоми…
✏️ Раньше Нейроюристу задавали вопросы — теперь ему можно ставить задачи. ИИ-помощник Яндекса для юристов перешёл на новую архитектуру: он решает сложные юридические задачи, для которых требуется выполнить цепочку действий.
🔴 Например, после переговоров контрагент прислал новую версию договора. Часть изменений отмечена в режиме рецензирования, а часть внесена без пометок. В переписке коллеги уже указали, какие услов…
Как Яндекс гонял таборы серверов
Сегодня — день рождения Яндекса, нам исполняется 29 лет! Мы по такому случаю решили вспомнить и рассказать историю одного из самых сложных переездов в истории компании.
В 2001 году Яндекс переселился в новый офис в вычислительном центре Академии наук на улице Вавилова в Москве. В том числе туда нужно было переместить и серверы поисковика, которые до этого три года стояли у провайдер…
❤️ Сегодня Яндексу — 29 лет! Но когда-то… «Титаник» только вышел в кино, овечка Долли стала мировой знаменитостью, а DVD-плееры были новинкой. В этом видео вспоминаем, как это было, когда на дворе — 1997-й год, а история Яндекса только начиналась.
Спасибо, что вы с нами! ❤️
✏️ Как ИИ меняет задачи преподавателей и почему нейросети не маскируют незнания учащихся? Узнали у лауреатов Yandex ML Prize — премии для тех, кто вносит вклад в ML-образование.
👉 Yandex ML Prize уже восемь лет поддерживает академическое сообщество: отмечает вклад учёных и преподавателей в развитие машинного обучения и вдохновляет их продолжать исследования и развивать образование.
👀 Познакомьтесь с одним из лауреа…
🐚 Советуем невероятно простой способ создать ИИ-бота на основе больших языковых моделей и агентских инструментов. Бот сможет отвечать по инструкциями и на основе загруженных знаний — в Телемосте, Telegram, «Максе» или на вашем сайте.
↘️ Попробуйте сделать это в Yandex AI Studio. На платформе вы без навыков программирования создаёте агентов на основе нейросетей. Научите их, например, искать по интернету, синтезироват…
Showing the 12 most recent of 117 posts we hold for @yandex. 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.
Republished by 96 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.
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 259 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 9 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Яндекс 360 @yandex360blog · 45,789 Telegram ranks this channel #1 of 97 here — alongside 96 others — read 27 August 2026
Алиса, что нового? @alice_yndx · 125,843 Telegram ranks this channel #1 of 89 here — alongside 88 others — read 13 August 2026
ТЕХНО: Яндекс про технологии @techno_yandex · 224,759 Telegram ranks this channel #1 of 96 here — alongside 95 others — read 11 August 2026
Samsung Russia @SamsungRussia · 139,320 Telegram ranks this channel #2 of 84 here — alongside 83 others — read 13 August 2026
Яндекс Практикум @yndx_practicum · 33,979 Telegram ranks this channel #3 of 97 here — alongside 96 others — read 3 September 2026
Young&&Yandex @Young_and_Yandex · 111,329 Telegram ranks this channel #3 of 92 here — alongside 91 others — read 14 August 2026
GigaChat @official_gigachat · 307,595 Telegram ranks this channel #3 of 92 here — alongside 91 others — read 10 August 2026
Яндекс Путешествия @yandex_travel · 489,565 Telegram ranks this channel #3 of 84 here — alongside 83 others — read 9 August 2026
Yandex for Developers @Yandex4Developers · 28,545 Telegram ranks this channel #4 of 94 here — alongside 93 others — read 9 September 2026
Яндекс нанимает | Вакансии для разработчиков @ya_jobs · 32,803 Telegram ranks this channel #4 of 96 here — alongside 95 others — read 5 September 2026
involta - технологии, наука, будущее, IT, интернет! @involta · 34,073 Telegram ranks this channel #4 of 89 here — alongside 88 others — read 3 September 2026
Игромир @Igromir_cloud · 58,718 Telegram ranks this channel #4 of 89 here — alongside 88 others — read 22 August 2026
Яндекс Пэй @yandexfintech · 179,648 Telegram ranks this channel #4 of 88 here — alongside 87 others — read 12 August 2026
Салют, это SberDevices @sber_devices · 22,217 Telegram ranks this channel #5 of 92 here — alongside 91 others — read 21 September 2026
Яндекс Аренда | сдаю @yandexarenda_sdayu · 33,164 Telegram ranks this channel #5 of 75 here — alongside 74 others — read 2 September 2026
Яндекс Недвижимость @yndx_realty · 43,533 Telegram ranks this channel #5 of 80 here — alongside 79 others — read 28 August 2026
Яндекс Карты @mapsyandex · 63,995 Telegram ranks this channel #5 of 94 here — alongside 93 others — read 21 August 2026
Яндекс для предпринимателей @yandexbusiness · 78,837 Telegram ranks this channel #5 of 97 here — alongside 96 others — read 20 August 2026
Yandex Cloud @yandexcloudnews · 21,888 Telegram ranks this channel #6 of 97 here — alongside 96 others — read 22 September 2026
Яндекс Образование @Education_Yandex · 37,959 Telegram ranks this channel #6 of 96 here — alongside 95 others — read 31 August 2026
Ростелеком @rostelecomofficial · 23,404 Telegram ranks this channel #7 of 93 here — alongside 92 others — read 18 September 2026
Яндекс нанимает | Вакансии для PM @ya_jobs_pm · 29,939 Telegram ranks this channel #7 of 98 here — alongside 97 others — read 8 September 2026
Сбер @sberbank · 741,927 Telegram ranks this channel #7 of 86 here — alongside 85 others — read 8 August 2026
Media Rare @media_rare · 25,869 Telegram ranks this channel #8 of 99 here — alongside 98 others — read 18 September 2026
This channel appears in 218 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Domains linked from posts
7 domains this channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.
A Wikidata item names this Telegram handle as belonging to the entity it describes. This is Wikidata’s claim, not a verification made by this register — nobody here confirmed that the account is genuinely operated by the entity named. Wikidata content is CC0; every fact below is dated to when it was read from Wikidata, not to when the association was first made there.
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.
“Яндекс” (@yandex), 606,530 subscribers as measured 27 September 2026. Telegram Register, tgregister.com/channel/yandex.
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.