Telegram RegisterThe public register of Telegram
Telegram profile photo for Yandex Research

Channel

Yandex Research

@YandexResearch

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

1,571subscribers

+169 since we began measuring on 3 November 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1003781048585
TypeChannel
Username@YandexResearch
Created17 April 2026 — measured — dated from the channel’s first post
First recorded3 November 2026
Last confirmed live10 November 2026
Measurements held4
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/YandexResearch

Growth

1,4021,5711,486.53 November 2026 — 1,402 subscribers4 November 2026 — 1,417 subscribers7 November 2026 — 1,484 subscribers10 November 2026 — 1,571 subscribers3 November 202610 November 2026
4 measurements spanning 7 days, net +169. 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 1,377–1,596 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
10 Nov 2026, 14:141,571+87
7 Nov 2026, 07:401,484+67
4 Nov 2026, 01:071,417+15
3 Nov 2026, 18:221,402first reading

Engagement

6 posts held, back to 17 April 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 1 page of Telegram’s post history, 20 posts per page.

ERR · 30 days
214.7%
avg views ÷ 1,571 subscribers
Avg views / post
3,370
4 posts measured
Reaction rate
3.62%
reactions ÷ views · ER floor
Posts in window
4
of 6 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 held6 (17 April 2026 – 3 November 2026)
Views total13,490
Reactions total488
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken3 Nov 2026, 18:22 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

488 reactions across 4 posts, in 11 distinct kinds. The most used accounts for 46.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 533907015198574364022946.9%
❤11924.4%
🔥8417.2%
❤‍🔥244.92%
👍122.46%
🎉81.64%
👎30.615%
💩30.615%
🤮30.615%
⚡20.41%
🫡10.205%

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 is 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 4 of the 6 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 488 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 6 most recent posts we hold, published 17 April 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: 1 of 4 posts held from the last 30 days (25.0%) 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, 15:53 UTC≈3,830 views89 reactionsread 3 November 2026
Photo

У нас вышла новая статья FLAMIA: FLAsh MIcroscaling Attention for Fast and Causally Safe Training on Blackwell про ускорение attention на GPU NVIDIA Blackwell. FlashAttention-4 уже хорошо оптимизирован под архитектуру Blackwell, но его реализация в BF16 не использует весь потенциал вычислений в низкой точности FP4/FP8. Мы разработали FLAMIA — набор attention-кернелов, которые позволяют ускорить вычисления при обучен…

🔥49custom 533907015198574364023❤14⚡2👎1

2 Nov 2026, 15:08 UTC≈1,530 views86 reactionsread 3 November 2026
Photo

На этой неделе на Yandex Research Reading Group поговорим об агентах для автоматизации исследований и zero-order оптимизации. Встречаемся 3 ноября в 16:30 мск. · Zero-order оптимизация. Денис Кузнеделев расскажет про EggROLL (коротко), DUST и последние обновления в noise спидране. · Агенты для исследований. Иван Рубачёв расскажет об использовании агентов для подбора гиперпараметров оптимизатора. Затем обсудим, н…

custom 533907015198574364057❤13🔥10👍5👎1

30 Oct 2026, 09:17 UTC≈2,360 views108 reactionsread 3 November 2026
Photo

У нашей GenAI команды вышла новая статья про посттрейн текстовых диффузионок: Representation-Space MMD for Diffusion Language Models MMD (Maximum Mean Discrepancy) позволяет сматчить два распределения по их сэмплам — без дополнительной обучаемой модели и генерации длинных траекторий. Мы сравниваем сгенерированные и реальные тексты в пространстве признаков замороженной DLM (Diffusion Language Models): MMD даёт обучаю…

❤53🔥25custom 533907015198574364025👍5

23 Oct 2026, 12:07 UTC≈5,770 views205 reactionsread 3 November 2026
Photo

Привет! Это Yandex Research, исследовательское подразделение Яндекса в области машинного обучения. Мы занимаемся фундаментальными исследованиями и работаем совместно с командами, которые решают прикладные задачи. Из этого соседства рождаются совместные проекты, а у теоретических идей появляется путь к практике. Одни наши работы начинаются с теоретического вопроса, другие — с задачи конкретного сервиса. Результатом …

custom 5339070151985743640124❤39❤‍🔥24🎉8💩3🤮3👍2👎1

Showing the 6 most recent of 6 posts we hold for @YandexResearch. 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.

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.

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 10 November 2026 — this entry's latest reading, not the date you are reading this.

“Yandex Research” (@YandexResearch), 1,571 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/YandexResearch.

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.