Telegram RegisterThe public register of Telegram

Channel

Arslan's Insights

@digital_insights

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry

1,759subscribers

-6 since we began measuring on 7 August 2026

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

Register entry

Telegram ID-1001904065709
TypeChannel
Username@digital_insights
CreatedBetween 1 March 2023 and 31 October 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live11 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 11 August 2026
On Telegramt.me/digital_insights

Growth

1,7591,7651,7627 August 2026 — 1,765 subscribers7 August 2026 — 1,765 subscribers11 August 2026 — 1,759 subscribers7 August 202611 August 2026
3 measurements spanning 4 days, net -6. 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 1,758–1,766 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
11 Aug 2026, 02:111,759-6
7 Aug 2026, 15:481,765no change
7 Aug 2026, 12:361,765first reading

Engagement

14 posts held, back to 25 December 2024the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 14 posts for this entry, the most recent from 25 June 2025. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
49s
Average length
16s

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

986 reactions across 14 posts, in 22 distinct kinds. The most used accounts for 41.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥40541.1%
22022.3%
👍17818.1%
😁838.42%
😢222.23%
💯161.62%
💔151.52%
😍80.811%
😱70.71%
👏60.609%
🤣60.609%
❤‍🔥40.406%
🎅20.203%
🤔20.203%
🤝20.203%
🤩20.203%
🤬20.203%
🤮20.203%
🌚10.101%
🌭10.101%
2 further kinds20.203%

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 14 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 986reactions 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 25 December 2024 to 25 June 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Telegram Stars

Stars received
17
across the posts below
Posts paid on
3
of 14 we hold a reading for · 21%
Most on one post
13
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @digital_insights. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 14 most recent posts we hold for this entry, published 25 December 2024 to 25 June 2025. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

25 Jun 2025, 12:25 UTC≈3,080 views64 reactions3 Starsread 7 August 2026
Video

Через 5 мин выступаю на Young Con, поговорим про то, как воплотить ИИ в автономной машине, подключайтесь по ссылке — https://yandex.ru/youngcon/#program

30🔥23👍7👏4

11 Jun 2025, 08:02 UTC≈3,630 views105 reactionsread 7 August 2026
Photo

Регистрация на Young Con заканчивается через 2 дня: https://yandex.ru/youngcon Буду рассказывать про автономный транспорт, приходите 😉 Кроме этого будет много и других прикольных докладов и прочих вещей в программе!

🔥52👍2924

26 May 2025, 14:02 UTC≈30,100 views139 reactions1 Starread 7 August 2026
Photo

Советы от Слуцкого На выходных Яндекс провел CTO Day в Белграде. В воскресенье было выступление Леонида Слуцкого про управление командой. В его случае футбольной командой. Удивительно на сколько много параллелей можно провести с работой руководителя разработчиков. В руководстве футбольной командой все примерно так же, но более утрировано и более остро из-за спортивной составляющей. Постараюсь основные тезисы выступ

🔥87👍2521😁4👏2

30 Apr 2025, 14:15 UTC≈3,810 views67 reactionsread 7 August 2026
Photo

Устали от классических конференций, в которых просто выходят люди и рассказывают доклады? Мне повезло, что меня позвали надеть рубашку ведущего на "Чинителей прекрасного", который провел Яндекс. Мне очень понравился формат мероприятия. Были и интересные доклады на нем тоже, но очень прикольно, что была еще куча активностей. - Можно было под присмотром профессионалов взять какую-нибудь сломанную электронику и запаят

🔥47👍128

7 Apr 2025, 08:39 UTC≈3,540 views55 reactionsread 7 August 2026
Photo

Радуюсь, когда появляются российские компании, которым удается делать классные LLM-ки. Авито сделали хорошую модель A-Vibe, которая стала топ-1 среди всех 7b моделей на бенчмарке для русского языка MERA. Судя по новостям взяли qwen2.5, дообучили на русский язык и получили большой буст по метрикам (интегрально 0.482 -> 0.578), переобучили токенизатор (до x2 к производительности). Большая работа, круто!

🔥40👍9🎅21🌭1🖕1😁1

28 Mar 2025, 17:17 UTC≈4,130 views104 reactionsread 7 August 2026
Photo

Проснулся, поел… пришел в офис - ВСТРЕЧА. Дошел до своего стола, решил осознаться, кто-то написал, пока отвечал - ВСТРЕЧА. Задержали на одной, наругали на второй - ВСТРЕЧА. Пошел поесть, параллельно - ВСТРЕЧА. ВСТРЕЧА, ВСТРЕЧА, ВСТРЕЧА! (с) утащено с внутреннего ресурса с минимальными модификациями

😁52😢19💔15💯10👍2🤝2🤬2❤‍🔥1

18 Mar 2025, 19:37 UTC≈4,150 views42 reactionsread 7 August 2026
Photo

Посмотрел keynote Хуанга от nvidia на GTC Очень много всего крутого про самое разное. Но сильно зацепил кусок, в котором он объявил о партнерстве DeepMind + Nvidia + Disney Research для создания реалистичной физики для симулятора MuJoCo. Вообще реалистичная физика в симуляторе - критически важна для того, чтобы можно было делать роботов. Только с помощью симулятора можно тестировать и обучать роботов. Проблема перен

🔥32💯6😁31

21 Feb 2025, 11:26 UTC≈5,330 views96 reactionsread 7 August 2026
Photo

Столпились!

🔥5426😍8🤣6👍2

3 Feb 2025, 14:30 UTC≈4,620 views67 reactionsread 7 August 2026

Роль интуиции в работе Посмотрел подкаст с Яном Непомнящим (один из лучших шахматистов современности). Очень зацепил момент про интуицию в шахматах: https://www.youtube.com/watch?v=T_QYOn7P-tA&t=2465s Ян говорит, что вот бросаешь взгляд на доску и в голове сразу появляется какие-то 4 хода, которые нравятся. Сначала непонятно почему, потом начинаешь их анализировать. Если ты в хорошей кондиции, то в 9 случаях из 10

👍45🔥148

3 Feb 2025, 14:30 UTC≈4,150 views27 reactionsread 7 August 2026

(продолжение) На первый взгляд во всех этих пунктах много затрат времени на то, что напрямую не связано с вашей работой. Однако если это не делать, то интуиция будет работать плохо, что в результате приведет к неверным или слишком медленно принятым решениям.

15👍12

27 Jan 2025, 13:25 UTC≈6,490 views131 reactions13 Starsread 7 August 2026

Очень интересно, что сейчас происходит из-за DeepSeek r1. Для тех, кто не следил: 1. Чуваки смогли обучить LLM, которая почти не хуже, чем у OpenAI. 2. Сделали это в 20 раз дешевле и написали подробную статью как это сделали. 3. Сотрудники из фейсбука на форумах пишут чуть ли не о панике в руководстве, что так дешево можно делать такие модели. 4. Приложение DeepSeek в топе американского стора. 5. Акции крупных компа

70👍31🔥25❤‍🔥3🤔2

24 Jan 2025, 09:16 UTC≈3,050 views10 reactionsread 7 August 2026

Сделали подкаст про автономные грузовики. Получилось интересно, приглашаю послушать)

10

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

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Citation-graph rank

Citation-graph rank — 626,988 of 1,183,361entries 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.

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

Names

Channels on the register whose handles appear in this channel's posts.

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 11 August 2026 — this entry's latest reading, not the date you are reading this.

“Arslan's Insights” (@digital_insights), 1,759 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/digital_insights.

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.