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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

94,138subscribers

+2,203 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 live26 September 2026
Measurements held36
Confirmed unchanged1 time, most recently 26 September 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

91,93394,13893,035.55 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 subscribers5 August 202626 September 2026
36 measurements spanning 51 days, net +2,203. 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 91,602–94,469 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 36
Measured (UTC)SubscribersChange
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, 03:3992,333+29
21 Aug 2026, 14:0592,304first reading

Engagement

270 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 111 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
20.1%
avg views ÷ 94,138 subscribers
Avg views / post
19,000
169 posts measured
Reaction rate
1.54%
reactions ÷ views · ER floor
Posts in window
169
of 270 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 27 September 2026
Posts held270 (3 August 2026 – 27 September 2026)
Views total3,202,920
Reactions total49,430
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken27 Sept 2026, 13:41 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
≈7,430
Videos
≈869
Links
≈3,410

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
1h 09m
Average length
1m 23s

Measured directly from 50 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

74,939 reactions across 266 posts, in 38 distinct kinds. The most used accounts for 38.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
😁28,72038.3%
❤12,57216.8%
🔥8,10810.8%
custom 57738487679418423575,8157.76%
👍5,6587.55%
🤯3,1364.18%
🗿2,9513.94%
custom 58502794890906272371,7372.32%
😭8441.13%
🫡5370.717%
💯5230.698%
🤔3870.516%
🤨3350.447%
⚡3190.426%
🦄2700.36%
❤‍🔥2680.358%
✍2280.304%
👏2230.298%
🐳2210.295%
😎2110.282%
18 further kinds1,8762.50%

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 270 of the 270 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 76,547 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 270 most recent posts we hold, published 3 August 2026 to 27 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.

Telegram Stars

Stars received
114
across the posts below
Posts paid on
65
of 270 we hold a reading for · 24%
Most on one post
5
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 270 most recent posts we hold for this entry, published 3 August 2026 to 27 September 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
4.44%
12 of 270 posts carry an ad marker
Regulatory tokens
12
posts carrying an erid · 12 distinct tokens
Median views · ads
17,100
over 12 measured posts
Median views · rest
19,300
over 258 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
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
CQH36pWzJqCcBtmMGpDTyAZmUDxHLEStyUNYNoXLLgxmRa118 September 202618 September 2026
CQH36pWzJqCcBtmML7aQaaCahJxizoYBdD527RqVuZdN72114 September 202614 September 2026
CQH36pWzJqCcBtmMMBosL83ZCDkYMyw5SEThjdYiE7zQ1E110 September 202610 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 270 most recent posts we hold, published 3 August 2026 to 27 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.

Recent posts

27 Sept 2026, 12:51 UTC≈5,620 views127 reactionsread 27 September 2026
Photo

Axios пишет, что OpenAI и Anthropic расследуют "десятки тысяч" инцидентов с побегами агентов Со ссылкой на источники в обеих компаниях и независимых исследователей безопасности журналисты утверждают, что статистика гораздо пессимистичнее, чем мы могли себе представить. В эти "десятки тысяч инцидентов" входят обходы guardrails, побеги из сандбоксов, попытки взломов внешних сайтов и так далее. Возьмем, например, syst…

custom 577384876794184235778😁24❤6🔥5🗿5custom 58502794890906272373😍2☃1

27 Sept 2026, 08:53 UTC≈10,400 views111 reactionsread 27 September 2026
Photo

На DevDay OpenAI выпустят нового always-on агента Сейчас он мелькает под кодовым названием «o» (где-то мы эту букву уже слышали, ну да ладно, видимо остальной алфавит Альтману не по душе). Упоминание агента уже появилось на экране обновления тарифа ChatGPT у многих пользователей. Судя по утечкам, агент будет продолжать работать постоянно, даже вне обычных чат-сессии и, возможно, получит собственный email (или будет…

😁80❤10👍5🔥4🤔4🍾3🕊2🫡2

26 Sept 2026, 15:10 UTC≈14,700 views313 reactionsread 27 September 2026
Video

Топ-10 советов, как стать миллионером

😁277🔥17😢10🍾2☃1✍1❤1👍1

26 Sept 2026, 14:02 UTC≈15,200 views83 reactionsread 27 September 2026
Advertisementerid CQH36pWzJqCcBtmMByWW5NKDJHj6MKddvqt44PbyKQz3j7Photo

Навайбкодить AI-агента сейчас можно за вечер. А вот довести его до прода так, чтобы он не выбирал неправильные тулы, не работал с устаревшими данными и не выполнял опасные действия без ограничений – уже совсем другая история 😵‍💫 Как раз про этот разрыв между демкой и нормальной системой сделали курс «AI-агенты» в Школе Высшей Математики. Ведут его инженеры, которые запускали агентные системы в Revolut, Wildberries …

😁47🗿19❤9🤨3⚡1🍓1👏1🤔1

26 Sept 2026, 12:39 UTC≈16,300 views425 reactionsread 27 September 2026
Photo

OpenAI прямо сейчас приостановила все обучение мощных моделей из-за нового инцидента https://alignment.openai.com/misalignment-reports/an-agent-used-dns-to-reach-an-external-chatbot 20 сентября агент решал поисковую задачу в песочнице (естественно, без доступа к интернету). Прокси блокировал исходящие веб-запросы, но DNS-резолвер не был так же закрыт, и агент стал передавать вопросы внешнему чат-боту, кодируя их в …

custom 5773848767941842357237😁120custom 585027948909062723730❤11🫡9👍6⚡4🕊3

26 Sept 2026, 10:19 UTC≈16,500 views244 reactionsread 27 September 2026
Photo

Claude посчитал девятипетлевую амплитуду в N=4 SYM. Эту задачу эксперты долго считали слишком тяжелой для прямого расчета. Амплитуды рассеяния – это формулы, по которым физики предсказывают, с какой вероятностью частицы провзаимодействуют тем или иным образом. Точно их посчитать почти невозможно, поэтому считают приближенно, до определенного числа петель: чем петель больше, тем точнее ответ, но и тем быстрее растет …

❤151👍44🔥24custom 57738487679418423579😁6🤯5⚡1❤‍🔥1

25 Sept 2026, 16:01 UTC≈16,300 views80 reactions1 Starread 27 September 2026
Video

Исследователи из AIRI запустили открытое сообщество для решения NetHack. Зовут объединяться всех работающих над системами планирования для искусственного интеллекта. У участников будет свой способ получить программу, свои инструменты и своя стратегия. Общая инфраструктура позволит видеть результаты, сравнивать их между собой и продолжать разрабатывать решения друг друга. Для старта доступен эволюционный харнесс на …

👌28❤21👍15🗿5😁4⚡3🎄2😎2

25 Sept 2026, 15:53 UTC≈16,400 views228 reactionsread 27 September 2026
Photo

Новая обложка The Economist Журналисты: да не нагнетаем мы Также журналисты:

❤108custom 577384876794184235761😁43🤯6😍3👾2🔥2👍1

25 Sept 2026, 13:08 UTC≈17,400 views408 reactionsread 27 September 2026
Photo

Сегодня не 14 февраля, но мы желаем вам найти человека, который будет смотреть на вас также, как Альтман смотрит на Маска 🥰 * фото со вчерашнего ужина в Белом Доме (Трамп принимал президента Китая Си Цзиньпина). Гостей было больше 130, среди них Безос, Маск, Хуанг, Альтман, Кук, Пичаи и другие. Не позвали только Амодеи. Напоминаем, что ранее Трамп назвал CEO Anthropic лицемером, который строит из себя "идеального м…

😁332❤39🍓14🗿6😍5custom 57738487679418423574☃2💘2

25 Sept 2026, 12:02 UTC≈15,800 views36 reactionsread 27 September 2026
Photo

Робозона на E-CODE: место сбора роботов Каждый год ко Дню программиста Ozon Tech устраивает масштабную двухдневную конференцию E-CODE. В этом году на ней было особенно много роботов. Часть из них (прототипы устройств) привезли с собой финалисты инженерного хакатона Робозон. Другие, например, гуманоиды и робокошки, отвечали за классные селфи гостей E-CODE. Роборуки готовили мороженое и коктейли, рисовали портреты. А…

🗿17❤10🏆3🤗3🎄1👍1😁1

25 Sept 2026, 10:21 UTC≈17,800 views225 reactions3 Starsread 27 September 2026
Photo

OpenAI готовит подписку за 500 долларов 🤑 Пока что в описании плана единственные изменения по сравнению с ChatGPT Pro – это «Самая быстрая работа в Work и Codex». Скорее всего, речь про ту самую Astra/Sol на Cerebras (https://t.me/data_secrets/9708). Миллионеры на месте?

😁150🫡32👍14🤯10❤9custom 57738487679418423574💯2😭2

25 Sept 2026, 08:43 UTC≈16,700 views169 reactionsread 27 September 2026
Video

Google запускают свои TPU в космос Они объединились с SpaceX, и уже на ближайшей миссии Transporter‑18 отправят прототип спутника с TPU, чтобы проверить работу своих чипов в реальном космосе. Платформу и интеграцию Google делает совместно с Planet, известной своими спутниками для съемок Земли. Главное, что предстоит проверить – будет ли работать отводка тепла. На Земле для этого используются воздух, вентиляторы и …

❤96👍34🤯18🔥8😁5custom 57738487679418423574👏2🍓1

Showing the 12 most recent of 270 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 270 most recent posts we hold, published 3 August 2026 to 27 September 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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@cryptonit01 · 3
2 posts
Данила Может 💣
@danilamojet · 91
2 posts
Технократия от ИТ
@it_technocracy · 13
2 posts
Lowkey
@loowkey · 86
2 posts
IA (INTELLIGENCE AMPLIFICATION). PHGTLSM
@phgtlsm_ia · 23
2 posts
Шаришь за ИИ?
@sharishzaAI · 862
2 posts
Учеба
@vaject · 1
2 posts
Единички Нолики
@aLittleBits · 345
1 post
ДелAI
@ai_delai · 164
1 post
Дружу с AI 🚀
@ai_friendship · 27
1 post
Технологии в спорте
@ai_in_sport · 112
1 post
ИИволюция 👾
@ai_volution · 11,748
1 post
Alex in IT
@alex_in_it · 5
1 post
Пост Лукацкого
@alukatsky · 37,862
1 post
1С антистресс
@antistress_1C · 13
1 post
Кладовка Архитектора 2.0
@arch2_0 · 152
1 post
Антон Брехов | про IT и не только
@at_about_it · 21
1 post
Attention Signs
@attnsigns · 34
1 post
Bikbov.guru
@bikbovguru · 685
1 post
Клуб CDO
@cdo_club · 4,088
1 post
Classical Vlad
@classical_vlad · 451
1 post
Telegram Man's blog (Mirror)
@coinpools · 3,584
1 post
Новый Зодчий
@concept_me · 57
1 post
consciousness_materials
@consciousness_materials · 40
1 post
Resident Life
@crypto_resident_life · 322
1 post
местный датасасер ☮️
@datasas · 1,806
1 post
𝘋𝘌𝘈𝘓𝘌𝘕𝘟 ⚡️ Одобряет!
@dealenxfeed · 23
1 post
Dima’s memes (AI and IT)
@dimasmemess · 2
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 · 96,889
#1
Сиолошная
@seeallochnaya · 79,594
#2
Machinelearning
@ai_machinelearning_big_data · 279,417
#3
Data Secrets | Карьера
@data_secrets_career · 7,190
#4
Denis Sexy IT 🤖
@denissexy · 137,610
#5
DeepSchool
@deep_school · 10,738
#6
XOR
@xor_journal · 182,317
#7
Время Валеры
@cryptovalerii · 30,808
#8
Техножрица 👩‍💻👩‍🏫👩‍🔧
@tech_priestess · 14,890
#9
еба́ные идеи для резерча
@ebaresearch · 5,333
#10
Dealer.AI
@dealerAI · 16,667
#11
Борис опять
@boris_again · 17,621
#12
LLM под капотом
@llm_under_hood · 29,146
#13
BOGDANISSSIMO
@bogdanisssimo · 6,992
#14
🏆 AIeron | Data Feeling
@datafeeling · 14,242
#15
Старший Авгур
@senior_augur · 8,118
#16
Machine learning Interview
@machinelearning_interview · 30,308
#17
Институт AIRI
@airi_research_institute · 13,654
#18
Yandex for ML
@yandexforml · 18,854
#19
Нескучный Data Science
@not_boring_ds · 12,052
#20
Kali Novskaya
@rybolos_channel · 19,055
#21
Метаверсище и ИИще
@cgevent · 52,530
#22
Анализ данных (Data analysis)
@data_analysis_ml · 50,656
#23
Neural Shit
@NeuralShit · 53,680
#24
Градиент обреченный
@doomgrad · 8,800
#25
что-то на DL-ском
@nadlskom · 5,012
#26
Математика Дата саентиста
@data_math · 14,279
#27
Complete AI
@complete_ai · 7,854
#28
ML-легушька
@BDataScienceM · 3,710
#29
Dev & ML Connectable Jobs
@dev_connectablejobs · 27,959
#30
🏄 Соревновательный Data Science | Kaggle | Чемпионаты
@data_science_winners · 3,370
#31
Жёлтый AI
@zheltyi_ai · 9,387
#32
Сергей Марков: машинное обучение, искусство и шитпостинг
@oulenspiegel_channel · 11,087
#33
Нескучный Data Science Jobs
@not_boring_ds_jobs · 9,120
#34
РИСЕРЧОШНАЯ
@researchoshnaya · 2,463
#35
Start Career in DS
@start_ds · 11,495
#36
Mashkka про Data Science
@mashkka_ds · 5,186
#37
Агенты ИИ | AGI_and_RL
@AGI_and_RL · 6,169
#38
Дратути Антон
@blog_toxa · 4,337
#39
grokaem себя
@grokaem_seby · 2,742
#40
Derp Learning
@derplearning · 13,893
#41
Data Science Jobs
@datasciencejobs · 22,137
#42
Just links
@j_links · 6,904
#43
Kantor.AI
@kantor_ai · 12,217
#44
Al Talent Hub
@aitalenthubnews · 7,732
#45
Тагир Анализирует
@tagir_analyzes · 11,702
#46
AI для Всех
@nn_for_science · 15,498
#47
addmeto
@addmeto · 71,835
#48
Душный NLP
@stuffyNLP · 6,656
#49
DLStories
@dl_stories · 15,572
#50
То шо нейросети
@toshoseti · 1,411
#51
Data, Stories and Languages
@datastorieslanguages · 3,701
#52
Библиотека дата-сайентиста | Data Science, Machine learning, анализ данных, машинное обучение
@dsproglib · 18,339
#53
ML for Value / Ваня Максимов
@ml4value · 5,695
#54
КПД
@quant_prune_distill · 3,483
#55
Data Science Jobs
@datascienceml_jobs · 21,227
#56
Машинное обучение RU
@machinelearning_ru · 18,195
#57
Data Science | Machinelearning [ru]
@devsp · 19,825
#58
Пресидский залив
@neural_prosecco · 8,169
#59
Knowledge Accumulator
@knowledge_accumulator · 5,686
#60
epsilon correct
@epsiloncorrect · 8,086
#61
Запрети мне псевдолейблить
@pseudolabeling · 4,185
#62
Библиотека собеса по Data Science | вопросы с собеседований
@ds_interview_lib · 4,466
#63
Take Friends to Luna Park
@hrlunapark · 20,296
#64
ФКН НИУ ВШЭ
@fcs_hse · 14,370
#65
(sci)Berloga Всех Наук и Технологий
@sberlogabig · 7,925
#66
AbstractDL
@abstractDL · 18,576
#67
Chad Protocol - карьера, IT, успех
@chad_protocol · 11,571
#68
Инжиниринг Данных
@rockyourdata · 23,732
#69
Information Retriever
@inforetriever · 4,118
#70
ML — это ОК
@mlvok · 2,103
#71
MLinside - школа ML
@ml_inside · 4,062
#72
Reliable ML
@reliable_ml · 6,603
#73
ODS Events
@datafest · 8,841
#74
CodeCamp
@codecamp · 181,043
#75
Хабр
@habr_com · 132,465
#76
Стать специалистом по машинному обучению
@toBeAnMLspecialist · 10,875
#77
DziS Science | Data Science
@dzis_science · 2,197
#78
Programmer & IT Memes
@itmemes · 123,290
#79
AI Happens
@aihappens · 14,526
#80
ODS #jobs
@odsjobs · 14,059
#81
New Yorko Times
@new_yorko_times · 10,554
#82
Поступашки - ШАД, Стажировки и Магистратура
@postypashki_old · 45,531
#83
Сергей Булаев AI 🤖
@sergiobulaev · 12,598
#84
Data jobs — вакансии по data science, анализу данных, аналитике, искусственному интеллекту
@datajob · 14,830
#85
Young&&Yandex
@Young_and_Yandex · 111,329
#86
Бэкдор
@whackdoor · 1,603,481
#87
Эксплойт
@exploitex · 2,048,279
#88
ФКН: Вакансии
@vacancy_cs · 17,312
#89
Заметки Computer Vision инженера
@CVML_team · 6,022
#90
Physics.Math.Code
@physics_lib · 146,712
#91
Зарплатник Аналитика
@zarplatnik_analytics · 11,604
#92
kyrillic
@kyrillic · 60,982
#93
Нейронки и вино
@neural_wine · 1,939
#94
rizzearch
@rizzearch · 1,017
#95
Глеб Михайлов
@mikhaylovgleb · 14,313
#96
̶с̶а̶м̶̶о̶изолента мёбиуса
@izolenta_mebiusa · 2,767
#97
Код.ру
@d_code · 406,147
#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 · 27,144
Telegram ranks this channel #1 of 95 here — alongside 94 others — read 10 September 2026
XOR
@xor_journal · 182,317
Telegram ranks this channel #1 of 93 here — alongside 92 others — read 12 August 2026
Machine learning Interview
@machinelearning_interview · 30,308
Telegram ranks this channel #2 of 98 here — alongside 97 others — read 7 September 2026
Анализ данных (Data analysis)
@data_analysis_ml · 50,656
Telegram ranks this channel #2 of 93 here — alongside 92 others — read 25 August 2026
Machinelearning
@ai_machinelearning_big_data · 279,417
Telegram ranks this channel #2 of 95 here — alongside 94 others — read 10 August 2026
Data Science Jobs
@datascienceml_jobs · 21,227
Telegram ranks this channel #6 of 97 here — alongside 96 others — read 24 September 2026
Stepik – онлайн-курсы
@stepik_courses · 24,454
Telegram ranks this channel #6 of 93 here — alongside 92 others — read 16 September 2026
Data Science Jobs
@datasciencejobs · 22,137
Telegram ranks this channel #8 of 93 here — alongside 92 others — read 21 September 2026
Physics.Math.Code
@physics_lib · 146,712
Telegram ranks this channel #8 of 72 here — alongside 71 others — read 13 August 2026
karpov.courses
@KarpovCourses · 27,446
Telegram ranks this channel #9 of 96 here — alongside 95 others — read 10 September 2026
LLM под капотом
@llm_under_hood · 29,146
Telegram ranks this channel #10 of 96 here — alongside 95 others — read 9 September 2026
AI Университет
@neural_university_webinar · 37,456
Telegram ranks this channel #10 of 96 here — alongside 95 others — read 31 August 2026
Data Science
@datascienceiot · 42,634
Telegram ranks this channel #10 of 76 here — alongside 75 others — read 29 August 2026
эйай ньюз
@ai_newz · 96,889
Telegram ranks this channel #10 of 94 here — alongside 93 others — read 16 August 2026
Neural Shit
@NeuralShit · 53,680
Telegram ranks this channel #11 of 92 here — alongside 91 others — read 24 August 2026
Data Science. SQL hub
@sqlhub · 35,960
Telegram ranks this channel #12 of 87 here — alongside 86 others — read 2 September 2026
Not Boring Tech
@notboring_tech · 20,799
Telegram ranks this channel #13 of 91 here — alongside 90 others — read 26 September 2026
Время Валеры
@cryptovalerii · 30,808
Telegram ranks this channel #13 of 94 here — alongside 93 others — read 6 September 2026
involta - технологии, наука, будущее, IT, интернет!
@involta · 34,073
Telegram ranks this channel #13 of 89 here — alongside 88 others — read 3 September 2026
Сиолошная
@seeallochnaya · 79,594
Telegram ranks this channel #13 of 97 here — alongside 96 others — read 19 August 2026
Dev & ML Connectable Jobs
@dev_connectablejobs · 27,959
Telegram ranks this channel #14 of 94 here — alongside 93 others — read 10 September 2026
Метаверсище и ИИще
@cgevent · 52,530
Telegram ranks this channel #15 of 92 here — alongside 91 others — read 25 August 2026
Искусственный интеллект. Высокие технологии
@vistehno · 71,491
Telegram ranks this channel #15 of 94 here — alongside 93 others — read 20 August 2026
Python вопросы с собеседований
@python_job_interview · 24,881
Telegram ranks this channel #16 of 90 here — alongside 89 others — read 15 September 2026

This channel appears in 100 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 26 September 2026 — this entry's latest reading, not the date you are reading this.

“Data Secrets” (@data_secrets), 94,138 subscribers as measured 26 September 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.