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Channel

Data Secrets

@data_secrets

Verified by Telegram

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Advertising · Posts · Posts edited after publishing · Polls · Citations · Telegram's recommendations · Cite this entry

94,538subscribers

+2,603 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001720833502
TypeChannel
Username@data_secrets
DescriptionГлавный по машинному обучению Сотрудничество: @veron_28 РКН: clck.ru/3FY3GN
Created16 August 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live4 October 2026
Measurements held37
Confirmed unchanged1 time, most recently 4 October 2026
On Telegramt.me/data_secrets

Topic

Technology — a classification, not a measurement. 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

91,93394,53893,235.55 August 2026 — 91,935 subscribers6 August 2026 — 91,935 subscribers6 August 2026 — 91,933 subscribers7 August 2026 — 91,962 subscribers8 August 2026 — 92,001 subscribers9 August 2026 — 92,008 subscribers10 August 2026 — 92,004 subscribers11 August 2026 — 92,035 subscribers12 August 2026 — 92,020 subscribers13 August 2026 — 92,029 subscribers14 August 2026 — 92,098 subscribers16 August 2026 — 92,161 subscribers17 August 2026 — 92,194 subscribers18 August 2026 — 92,255 subscribers19 August 2026 — 92,286 subscribers20 August 2026 — 92,290 subscribers21 August 2026 — 92,304 subscribers23 August 2026 — 92,333 subscribers24 August 2026 — 92,349 subscribers25 August 2026 — 92,431 subscribers26 August 2026 — 92,465 subscribers27 August 2026 — 92,535 subscribers28 August 2026 — 92,592 subscribers29 August 2026 — 92,588 subscribers30 August 2026 — 92,603 subscribers1 September 2026 — 92,639 subscribers1 September 2026 — 92,690 subscribers3 September 2026 — 92,747 subscribers5 September 2026 — 93,011 subscribers8 September 2026 — 93,166 subscribers11 September 2026 — 93,447 subscribers13 September 2026 — 93,530 subscribers14 September 2026 — 93,585 subscribers16 September 2026 — 93,709 subscribers19 September 2026 — 93,800 subscribers26 September 2026 — 94,138 subscribers4 October 2026 — 94,538 subscribers5 August 20264 October 2026
37 measurements spanning 60 days, net +2,603. 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 91,542–94,929 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 37
Measured (UTC)SubscribersChange
4 Oct 2026, 13:0094,538+400
26 Sept 2026, 06:1894,138+338
19 Sept 2026, 08:1793,800+91
16 Sept 2026, 18:3993,709+124
14 Sept 2026, 23:0193,585+55
13 Sept 2026, 08:5693,530+83
11 Sept 2026, 11:3793,447+281
8 Sept 2026, 15:5693,166+155
5 Sept 2026, 09:5993,011+264
3 Sept 2026, 09:3692,747+57
1 Sept 2026, 23:5392,690+51
1 Sept 2026, 01:4392,639+36
30 Aug 2026, 22:4692,603+15
29 Aug 2026, 19:4292,588-4
28 Aug 2026, 20:4292,592+57
27 Aug 2026, 19:0392,535+70
26 Aug 2026, 15:5892,465+34
25 Aug 2026, 16:0292,431+82
24 Aug 2026, 18:1792,349+16
23 Aug 2026, 03:3992,333first reading

Engagement

354 posts held, back to 3 August 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 132 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
19.4%
avg views ÷ 94,538 subscribers
Avg views / post
18,400
204 posts measured
Reaction rate
1.48%
reactions ÷ views · ER floor
Posts in window
204
of 354 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 7 October 2026
Posts held354 (3 August 2026 – 7 October 2026)
Views total3,745,620
Reactions total55,423
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Oct 2026, 03:21 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
≈7,510
Videos
≈884
Links
≈3,450

Lifetime counters from Telegram’s own channel header, read 8 October 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
1h 20m
Average length
1m 18s

Measured directly from 62 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

95,031 reactions across 350 posts, in 38 distinct kinds. The most used accounts for 37.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
😁35,45437.3%
❤16,35817.2%
🔥10,39310.9%
👍7,9758.39%
custom 57738487679418423576,8747.23%
🤯3,9254.13%
🗿3,7163.91%
custom 58502794890906272372,1972.31%
😭9941.05%
🫡6640.699%
💯5750.605%
🤔5700.6%
⚡5200.547%
😎4620.486%
❤‍🔥3930.414%
🤨3680.387%
🏆3130.329%
👏2910.306%
🦄2890.304%
🐳2880.303%
18 further kinds2,4122.54%

Custom emoji. 2 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 354 of the 354 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 96,639 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 354 most recent posts we hold, published 3 August 2026 to 7 October 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.

Telegram Stars

Stars received
137
across the posts below
Posts paid on
81
of 354 we hold a reading for · 23%
Most on one post
6
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @data_secrets. 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 354 most recent posts we hold for this entry, published 3 August 2026 to 7 October 2026. 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.

Advertising

Ad load
4.24%
15 of 354 posts carry an ad marker
Regulatory tokens
15
posts carrying an erid · 15 distinct tokens
Median views · ads
17,100
over 15 measured posts
Median views · rest
18,900
over 339 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. They are printed side by side with the count behind each rather than as a ratio: an ad and an ordinary post are not otherwise matched — for topic, for length, for hour of day — so the gap between them is a description of two groups and not the effect of one being an ad.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2SDnjdMmQvo112 August 202612 August 2026
2VSb5xA9R2z17 August 20267 August 2026
2VfnxxSEBiU130 September 202630 September 2026
2VtzqwTiHNU16 October 20266 October 2026
2VtzqxF9x3v16 October 20266 October 2026
2VtzqxjMMTJ122 September 202622 September 2026
2W5zFFvK9mB116 September 202616 September 2026
2W5zFHgUtUH119 August 202619 August 2026
2W5zFJVvVVK126 August 202626 August 2026
CQH36pWzJqCcBtmM7cbSoHKjGvkXvnRLgGmzFGYoHNhuVG117 September 202617 September 2026
CQH36pWzJqCcBtmMBNwSWLqzUydc8bJcQgzTywMpqg696K116 September 202616 September 2026
CQH36pWzJqCcBtmMByWW5NKDJHj6MKddvqt44PbyKQz3j7126 September 202626 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. 3 further tokens are held for this entry and not listed here.

Measured over the 354 most recent posts we hold, published 3 August 2026 to 7 October 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.

Recent posts

7 Oct 2026, 18:09 UTC≈9,920 views127 reactionsread 8 October 2026
Photo

Новый Haiku 5.5, сводка: — В среднем запуск обходится на 75% дешевле Haiku 4.5. — Большой скачок в кодинге, работе с компьютером и задачах на знания. — Для запросов до 100K токенов цена снизилась на 90%. На более длинных задачах примерно вдвое. — Впервые у Haiku появилась настройка effort, можно выбирать между стоимостью и качеством. — Модель отдельно оптимизировали под работу субагентом для Opus и Sonnet, а так…

❤68🤯23🔥20👍8✍2🏆2🤩2😁1

7 Oct 2026, 18:04 UTC≈10,000 views145 reactions3 Starsread 8 October 2026
Photo

Вышел Haiku 5.5

🔥87👍30❤11🤔4🤯4😎4😭3🍾1

7 Oct 2026, 16:48 UTC≈11,800 views325 reactionsread 8 October 2026
Photo

Когда только собрался делать стартап, который продашь за 500M$+, но лимиты закончились через 3 запроса

😁284❤25🔥8🍾2🐳2👌1👏1💯1

7 Oct 2026, 14:58 UTC≈12,500 views96 reactions1 Starread 8 October 2026
Photo

Как выглядит рынок пользовательского ИИ Один из крупнейших венчурных фондов США a16z выпустил новый рейтинг потребительских ИИ-продуктов. В него попадают как продукты, построенные вокруг ИИ, так и привычные сервисы, где ИИ стал центральной частью пользовательского опыта. В список попали знакомые сервисы — CapCut, Adobe Lightroom и Microsoft Edge, а также приложения с Алисой AI, вошедшие в мобильный топ-15 по месячн…

⚡37❤26🔥9😁6🗿5👌4👍4🤨3

7 Oct 2026, 13:22 UTC≈13,000 views159 reactions6 Starsread 8 October 2026
Photo

H-JEPA: End-to-End Learning of Hierarchical World Models for Visual Planning Архитектура JEPA Яна Лекуна теперь стала иерархической. Напоминаем, основная идея в том, чтобы сделать модель, которая не угадывает следующий токен или пиксель, а понимает, что происходит в мире и что случится дальше (подробнее тут: https://t.me/data_secrets/8915). В новой работе получилось сделать следующий важный шаг: JEPA научили нормал…

😁74❤39🔥19👍10custom 57738487679418423579☃2🤔2🫡2

7 Oct 2026, 12:15 UTC≈14,100 views137 reactionsread 8 October 2026
Photo

Вышла Nano Banana 2.1 Google обновила свою модель для генерации изображений. На тестах Nano Banana 2.1 обходит предыдущие версии почти по всем основным сценариям, особенно в визуальном качестве, редактировании по маске и сохранении внешности персонажей. Модель поддерживает генерацию в 4K. При этом цена заметно снизилась: $30 за 1 млн аутпут токенов против $120 у Nano Banana Pro. https://deepmind.google/models/mode…

🔥88❤25👍16😁4⚡2🗿1🤨1

7 Oct 2026, 10:37 UTC≈18,200 views508 reactionsread 8 October 2026
Video

Мем дня: оказалось, Бен Аффлек неплохо разбирается в сверточных нейросетях. Раньше у него была небольшая VFX-студия, где он много работал с GPU и ML-пайплайнами. Позже он основал AI-стартап InterPositive, а в итоге его купил Netflix. Получается, днем гоняем модели, ночью защищаем Готэм.

❤317🔥96😁65🤯14👍8😍3☃2🍾1

7 Oct 2026, 09:26 UTC≈16,300 views284 reactionsread 8 October 2026
Photo

Kandinsky 6.0 Video — новая линейка моделей генерации видео со звуком Модели генерируют видео с диалогами, музыкой и звуками окружения. Аудиодорожка синхронизирована с происходящим в кадре, движения губ персонажей совпадают с речью. Это первая российская нейросеть, генерирующая видео с синхронным звуком. — Флагман новой линейки, Kandinsky 6.0 Video Pro — показывает качество на уровне Veo 3.1 Audio, а среди открытых…

👍112😭76🗿37🔥20😁20❤12🕊2🤨2

7 Oct 2026, 07:41 UTC≈17,200 views615 reactionsread 8 October 2026
Photo

solve all open math problems please. make no mistakes

😁524👍45🔥25❤13🏆4😍2☃1🕊1

7 Oct 2026, 05:26 UTC≈18,200 views296 reactionsread 7 October 2026
Photo

Ночью OpenAI выложили в открытый доступ 722 написанных ИИ статьи по математике В каждой решается какая-то открытая математическая задача. Их сгенерировала внутренняя еще не выпущенная модель, и они сгруппированы в 372 семейства связанных работ по разделам математики. В стартапе решили, что проверять модели на бенчмарках уже неинтересно, потому что они насытились, и вместо этого выдали агенту 4000 открытых исследов…

custom 5773848767941842357168❤49custom 585027948909062723739🔥12👍8🤯6🗿5🤩4

6 Oct 2026, 19:48 UTC≈19,400 views770 reactionsread 7 October 2026
Photo

На фоне жестких блокировок аккаунтов сегодня в Claude появилась поддержка русского языка 🚬

😁641custom 585027948909062723767❤24🗿18❤‍🔥5😎5🤗3🕊2

6 Oct 2026, 18:53 UTC≈18,400 views139 reactionsread 7 October 2026
Photo

Google выпустила мультимодальную EmbeddingGemma 2 Первая версия работала только с текстом, вторая построена на Gemma 4 и переводит в одно векторное пространство текст, код, изображения, видео и аудио. Так что на вход теперь можно подавать и смешанные данные. Модель весит 740M параметров, но устроена модульно. Текстовая часть занимает 270M, а энкодеры изображений и аудио загружаются отдельно при необходимости. Конте…

❤80🔥37👍18🕊2⚡1🎄1

Showing the 12 most recent of 354 posts we hold for @data_secrets. 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.

Posts edited after publishing

@data_secrets edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.

An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.

First edit seen
18 August 2026
Most recent edit
4 September 2026

Polls

The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.

21 Sept 2026, 10:38 UTCAnonymous Poll2,270 voters approx.

Админ тоже сложа руки не сидел, и предлагает вам проголосовать за его идеи, как переименовать Al:

  1. Investment-Burning Intelligence24%
  2. Trained on Test Intelligence21%
  3. Token-Maxxing Intelligence35%
  4. Cost More Than You Intelligence35%
  5. Can Hack Companies, Can't Color a Button Intelligence37%

The shares total 152%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 354 most recent posts we hold, published 3 August 2026 to 7 October 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Republished by 108 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.

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Telegram Man's blog (Mirror)
@coinpools · 3,504
1 post
Новый Зодчий
@concept_me · 57
1 post
consciousness_materials
@consciousness_materials · 42
1 post
Resident Life
@crypto_resident_life · 323
1 post
местный датасасер ☮️
@datasas · 1,809
1 post
𝘋𝘌𝘈𝘓𝘌𝘕𝘟 ⚡️ Одобряет!
@dealenxfeed · 23
1 post

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 70 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.

эйай ньюз
@ai_newz · 97,222
#1
Сиолошная
@seeallochnaya · 80,254
#2
Machinelearning
@ai_machinelearning_big_data · 278,381
#3
Data Secrets | Карьера
@data_secrets_career · 7,251
#4
Denis Sexy IT 🤖
@denissexy · 137,955
#5
DeepSchool
@deep_school · 10,729
#6
XOR
@xor_journal · 213,509
#7
Время Валеры
@cryptovalerii · 31,566
#8
Техножрица 👩‍💻👩‍🏫👩‍🔧
@tech_priestess · 15,019
#9
еба́ные идеи для резерча
@ebaresearch · 5,344
#10
Dealer.AI
@dealerAI · 16,753
#11
Борис опять
@boris_again · 17,599
#12
LLM под капотом
@llm_under_hood · 29,482
#13
BOGDANISSSIMO
@bogdanisssimo · 7,004
#14
🏆 AIeron | Data Feeling
@datafeeling · 14,231
#15
Старший Авгур
@senior_augur · 8,634
#16
Machine learning Interview
@machinelearning_interview · 30,334
#17
Институт AIRI
@airi_research_institute · 13,709
#18
Yandex for ML
@yandexforml · 18,948
#19
Нескучный Data Science
@not_boring_ds · 12,045
#20
Kali Novskaya
@rybolos_channel · 19,054
#21
Метаверсище и ИИще
@cgevent · 52,819
#22
Анализ данных (Data analysis)
@data_analysis_ml · 50,680
#23
Neural Shit
@NeuralShit · 54,321
#24
Градиент обреченный
@doomgrad · 8,794
#25
что-то на DL-ском
@nadlskom · 5,020
#26
Математика Дата саентиста
@data_math · 14,263
#27
Complete AI
@complete_ai · 7,857
#28
ML-легушька
@BDataScienceM · 3,713
#29
Dev & ML Connectable Jobs
@dev_connectablejobs · 28,088
#30
🏄 Соревновательный Data Science | Kaggle | Чемпионаты
@data_science_winners · 3,372
#31
Жёлтый AI
@zheltyi_ai · 9,331
#32
Сергей Марков: машинное обучение, искусство и шитпостинг
@oulenspiegel_channel · 11,083
#33
Нескучный Data Science Jobs
@not_boring_ds_jobs · 9,188
#34
РИСЕРЧОШНАЯ
@researchoshnaya · 2,469
#35
Start Career in DS
@start_ds · 11,487
#36
Mashkka про Data Science
@mashkka_ds · 5,202
#37
Агенты ИИ | AGI_and_RL
@AGI_and_RL · 6,218
#38
Дратути Антон
@blog_toxa · 4,311
#39
grokaem себя
@grokaem_seby · 2,721
#40
Derp Learning
@derplearning · 13,896
#41
Data Science Jobs
@datasciencejobs · 22,197
#42
Just links
@j_links · 6,926
#43
Kantor.AI
@kantor_ai · 12,232
#44
Al Talent Hub
@aitalenthubnews · 7,768
#45
Тагир Анализирует
@tagir_analyzes · 11,702
#46
AI для Всех
@nn_for_science · 15,482
#47
addmeto
@addmeto · 71,819
#48
Душный NLP
@stuffyNLP · 6,692
#49
DLStories
@dl_stories · 15,570
#50
То шо нейросети
@toshoseti · 1,409
#51
Data, Stories and Languages
@datastorieslanguages · 3,827
#52
Библиотека дата-сайентиста | Data Science, Machine learning, анализ данных, машинное обучение
@dsproglib · 18,331
#53
ML for Value / Ваня Максимов
@ml4value · 5,689
#54
КПД
@quant_prune_distill · 3,487
#55
Data Science Jobs
@datascienceml_jobs · 21,310
#56
Машинное обучение RU
@machinelearning_ru · 18,192
#57
Data Science | Machinelearning [ru]
@devsp · 19,787
#58
Пресидский залив
@neural_prosecco · 8,204
#59
Knowledge Accumulator
@knowledge_accumulator · 5,690
#60
epsilon correct
@epsiloncorrect · 8,146
#61
Запрети мне псевдолейблить
@pseudolabeling · 4,376
#62
Библиотека собеса по Data Science | вопросы с собеседований
@ds_interview_lib · 4,466
#63
Take Friends to Luna Park
@hrlunapark · 20,411
#64
ФКН НИУ ВШЭ
@fcs_hse · 14,481
#65
(sci)Berloga Всех Наук и Технологий
@sberlogabig · 8,013
#66
AbstractDL
@abstractDL · 18,672
#67
Chad Protocol - карьера, IT, успех
@chad_protocol · 11,733
#68
Инжиниринг Данных
@rockyourdata · 23,707
#69
Information Retriever
@inforetriever · 4,143
#70
ML — это ОК
@mlvok · 2,103
#71
MLinside - школа ML
@ml_inside · 4,098
#72
Reliable ML
@reliable_ml · 6,604
#73
ODS Events
@datafest · 8,861
#74
CodeCamp
@codecamp · 180,077
#75
Хабр
@habr_com · 132,847
#76
Стать специалистом по машинному обучению
@toBeAnMLspecialist · 10,878
#77
DziS Science | Data Science
@dzis_science · 2,193
#78
Programmer & IT Memes
@itmemes · 122,995
#79
AI Happens
@aihappens · 14,538
#80
ODS #jobs
@odsjobs · 14,246
#81
New Yorko Times
@new_yorko_times · 10,606
#82
Поступашки - ШАД, Стажировки и Магистратура
@postypashki_old · 46,014
#83
Сергей Булаев AI 🤖
@sergiobulaev · 12,601
#84
Data jobs — вакансии по data science, анализу данных, аналитике, искусственному интеллекту
@datajob · 14,863
#85
Young&&Yandex
@Young_and_Yandex · 111,614
#86
Бэкдор
@whackdoor · 1,586,239
#87
Эксплойт
@exploitex · 2,048,192
#88
ФКН: Вакансии
@vacancy_cs · 17,444
#89
Заметки Computer Vision инженера
@CVML_team · 6,067
#90
Physics.Math.Code
@physics_lib · 146,792
#91
Зарплатник Аналитика
@zarplatnik_analytics · 11,646
#92
kyrillic
@kyrillic · 60,918
#93
Нейронки и вино
@neural_wine · 1,928
#94
rizzearch
@rizzearch · 1,015
#95
Глеб Михайлов
@mikhaylovgleb · 14,330
#96
̶с̶а̶м̶̶о̶изолента мёбиуса
@izolenta_mebiusa · 2,772
#97
Код.ру
@d_code · 405,436
#98

Read from Telegram’s recommendation API, most recently 17 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.

Sber AI
@SberAIScience · 26,973
Telegram ranks this channel #1 of 95 here — alongside 94 others — read 10 September 2026
XOR
@xor_journal · 213,509
Telegram ranks this channel #1 of 93 here — alongside 92 others — read 12 August 2026
Data Science | Machinelearning [ru]
@devsp · 19,787
Telegram ranks this channel #2 of 91 here — alongside 90 others — read 30 September 2026
Machine learning Interview
@machinelearning_interview · 30,334
Telegram ranks this channel #2 of 98 here — alongside 97 others — read 7 September 2026
Анализ данных (Data analysis)
@data_analysis_ml · 50,680
Telegram ranks this channel #2 of 93 here — alongside 92 others — read 25 August 2026
Machinelearning
@ai_machinelearning_big_data · 278,381
Telegram ranks this channel #2 of 95 here — alongside 94 others — read 10 August 2026
Yandex for ML
@yandexforml · 18,948
Telegram ranks this channel #4 of 96 here — alongside 95 others — read 4 October 2026
Data Science Jobs
@datascienceml_jobs · 21,310
Telegram ranks this channel #6 of 97 here — alongside 96 others — read 24 September 2026
Stepik – онлайн-курсы
@stepik_courses · 24,429
Telegram ranks this channel #6 of 93 here — alongside 92 others — read 16 September 2026
Data Science Jobs
@datasciencejobs · 22,197
Telegram ranks this channel #8 of 93 here — alongside 92 others — read 21 September 2026
Physics.Math.Code
@physics_lib · 146,792
Telegram ranks this channel #8 of 72 here — alongside 71 others — read 13 August 2026
karpov.courses
@KarpovCourses · 27,397
Telegram ranks this channel #9 of 96 here — alongside 95 others — read 10 September 2026
Take Friends to Luna Park
@hrlunapark · 20,411
Telegram ranks this channel #10 of 88 here — alongside 87 others — read 28 September 2026
LLM под капотом
@llm_under_hood · 29,482
Telegram ranks this channel #10 of 96 here — alongside 95 others — read 9 September 2026
AI Университет
@neural_university_webinar · 37,391
Telegram ranks this channel #10 of 96 here — alongside 95 others — read 31 August 2026
Data Science
@datascienceiot · 42,567
Telegram ranks this channel #10 of 76 here — alongside 75 others — read 29 August 2026
эйай ньюз
@ai_newz · 97,222
Telegram ranks this channel #10 of 94 here — alongside 93 others — read 16 August 2026
Neural Shit
@NeuralShit · 54,321
Telegram ranks this channel #11 of 92 here — alongside 91 others — read 24 August 2026
Data Science. SQL hub
@sqlhub · 35,948
Telegram ranks this channel #12 of 87 here — alongside 86 others — read 2 September 2026
Kali Novskaya
@rybolos_channel · 19,054
Telegram ranks this channel #13 of 93 here — alongside 92 others — read 4 October 2026
Not Boring Tech
@notboring_tech · 20,827
Telegram ranks this channel #13 of 91 here — alongside 90 others — read 26 September 2026
Время Валеры
@cryptovalerii · 31,566
Telegram ranks this channel #13 of 94 here — alongside 93 others — read 6 September 2026
involta - технологии, наука, будущее, IT, интернет!
@involta · 34,001
Telegram ranks this channel #13 of 89 here — alongside 88 others — read 3 September 2026
Сиолошная
@seeallochnaya · 80,254
Telegram ranks this channel #13 of 97 here — alongside 96 others — read 19 August 2026

This channel appears in 116 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.

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

“Data Secrets” (@data_secrets), 94,538 subscribers as measured 4 October 2026. Telegram Register, tgregister.com/channel/data_secrets.

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.