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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 · Citations · Telegram's recommendations · Cite this entry

92,333subscribers

+398 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 2022measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live23 August 2026
Measurements held18
Confirmed unchanged1 time, most recently 23 August 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

91,93392,33392,1335 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 subscribers5 August 202623 August 2026
18 measurements spanning 17 days, net +398. 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 91,873–92,393 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
23 Aug 2026, 03:3992,333+29
21 Aug 2026, 14:0592,304+14
20 Aug 2026, 15:2792,290+4
19 Aug 2026, 17:1592,286+31
18 Aug 2026, 20:3392,255+61
17 Aug 2026, 17:0492,194+33
16 Aug 2026, 08:1492,161+63
14 Aug 2026, 15:3792,098+69
13 Aug 2026, 07:2592,029+9
12 Aug 2026, 09:0492,020-15
11 Aug 2026, 07:4792,035+31
10 Aug 2026, 06:1792,004-4
9 Aug 2026, 08:3192,008+7
8 Aug 2026, 11:5592,001+39
7 Aug 2026, 10:0691,962+29
6 Aug 2026, 07:4091,933-2
6 Aug 2026, 01:3491,935no change
5 Aug 2026, 22:0091,935first reading

Engagement

74 posts held, back to 3 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 40 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
20.6%
avg views ÷ 92,333 subscribers
Avg views / post
19,000
74 posts measured
Reaction rate
1.39%
reactions ÷ views · ER floor
Posts in window
74
of 74 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 23 August 2026
Posts held74 (3 August 202623 August 2026)
Views total1,406,460
Reactions total19,501
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken23 Aug 2026, 13:37 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
7,250
Videos
825
Links
3,300

Lifetime counters from Telegram’s own channel header, read 23 August 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
9m 36s
Average length
44s

Measured directly from 13 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

17,893 reactions across 70 posts, in 37 distinct kinds. The most used accounts for 37.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
😁6,68737.4%
3,42219.1%
🔥2,61814.6%
👍1,3327.44%
custom 57738487679418423571,0976.13%
🤯7344.10%
custom 58502794890906272376213.47%
🗿3632.03%
🫡1430.799%
870.486%
💯810.453%
🕊640.358%
❤‍🔥630.352%
🏆560.313%
😎450.251%
🎉390.218%
🍓370.207%
👏360.201%
🤝310.173%
😭290.162%
17 further kinds3081.72%

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 areTelegram’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 74 of the 74 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 19,501reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 74 most recent posts we hold, published 3 August 2026 to 23 August 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
17
across the posts below
Posts paid on
14
of 74 we hold a reading for · 19%
Most on one post
3
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 74 most recent posts we hold for this entry, published 3 August 2026 to 23 August 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
4.05%
3 of 74 posts carry an ad marker
Regulatory tokens
3
posts carrying an erid · 3 distinct tokens
Median views · ads
17,000
over 3 measured posts
Median views · rest
19,000
over 71 measured posts

An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.

This is a floor, and it can only ever be a floor.A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.

Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.

Advertising tokens recorded on this entry
eridPostsFirst seenLast seen
2SDnjdMmQvo112 August 202612 August 2026
2VSb5xA9R2z17 August 20267 August 2026
2W5zFHgUtUH119 August 202619 August 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 74 most recent posts we hold, published 3 August 2026 to 23 August 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

23 Aug 2026, 08:19 UTC≈10,000 views322 reactions1 Starread 23 August 2026
Video

То же видео с другого ракурса (смотреть до конца) Как говорила Сара Коннор: «Когда они гонятся за тобой, всегда беги к стене. Почему-то их никто не научил останавливаться. Так мы и победим в будущем».

😁272custom 577384876794184235730🏆8👍5🤯32🎄1💯1

23 Aug 2026, 08:14 UTC≈9,460 views170 reactionsread 23 August 2026
Video

Робот поставил мировой рекорд в беге на 100 метров В Пекине стартовали Вторые Всемирные игры гуманоидных роботов. Включены: легкая и тяжелая атлетика, футбол, настольный теннис, большой теннис, единоборства, танцы и, дополнительно, всякие бытовые задачи типа открывания бутылок, сортировка и пр. В первый же день сразу несколько роботов побили мировой рекорд на стометровке. Первым прибежал Tiangong Ultra, разработанн

🤯96👍29😁17🔥11custom 5773848767941842357104🕊2🍓1

22 Aug 2026, 14:18 UTC≈14,300 views147 reactionsread 23 August 2026
Photo

DeepSeek выпустили новую мультимодальную модель для агентов Встречаем DeepSeek-V4-Flash-Vision-Exp: https://api-docs.deepseek.com/guides/vision/ Это надстройка над V4-Flash специально под мультимодальные агентные сценарии. Несмотря на «Flash» в названии, модель перформит на таких задачах на уровне Opus 4.8, а иногда и лучше. При этом на тексте способности не просели и остаются на уровне официального DeepSeek-V4-Fl

🔥10523👍11🏆42😁1😍1

22 Aug 2026, 12:07 UTC≈14,600 views250 reactionsread 23 August 2026
Video

Автор uv ускорил запуск Codex CLI в 25 раз Чарли Марш – основатель и CEO Astral. Это компания, которая разработала uv, Ruff, ty и много других Python тулов. В марте этого года Astral была куплена OpenAI, и теперь Чарли работает в подразделении Codex. Так вот, в последнем релизе Codex он переделал запуск командной строки так, что он стал в 25 раз быстрее. В процесс запуска CLI (то есть когда вы вызываете команду c

141👍60🔥41😁4🕊2🎉1💯1

22 Aug 2026, 11:06 UTC≈13,600 views36 reactions1 Starread 23 August 2026
Photo

Готовитесь или интересуетесь поступлением в ШАД в 2027 году? До 24 августа идет набор в текущий поток подготовки ШАД Хелпер. Программа рассчитана на 11 месяцев и охватывает все темы, необходимые для успешной сдачи экзамена в ШАД: линейная алгебра, матанализ, теория вероятностей, дискретная математика, алгоритмы и анализ данных. Основная задача курса - не просто пройти теорию, а научиться решать задачи именно в фор

😁15🤯63🔥3🗿3😢21🎉1

22 Aug 2026, 09:31 UTC≈14,600 views178 reactionsread 23 August 2026
Photo

OpenAI почувствовали, что пахнет жареным, и снизили цены на GPT-5.6 Sol В течение следующих трех месяцев модель будет более чем на на 20% дешевле. — Короткий контекст Input: $5 -> $4 Output: $30 -> $20 — Длинный контекст Input: $10 -> $8 Output: $45 -> $30

78😁67🔥244🎉2🫡2👍1

22 Aug 2026, 07:11 UTC≈16,500 views250 reactions1 Starread 23 August 2026
Photo

На OpenRouter появилась таинственная модель Ox Alpha, которая превосходит Sol и Fable на кодинге https://openrouter.ai/stealth/ox-alpha Никто не знает, кто разработчик, моделька числится как stealth. Что известно: – Контекст 1М токенов. – Мультимодальная. – На подмножестве DeepSWE выбивает 80%, против Fable 65%, и Sol 52%. – Токенизатор такой же, как у GLM, и на вопросы про Тайвань отвечает идентично. – Это пятая

🔥17434👍22🎉5custom 57738487679418423575😁4🤗3🫡2

21 Aug 2026, 11:17 UTC≈17,600 views248 reactions3 Starsread 23 August 2026
Photo

Очень показательный график из свежей статьи Bloomberg Оранжевые точки – китайские модели, синие – США. По оси Y – взвешенное среднее по бенчмаркам GDPval-AA v2, τ³-Banking, Terminal-Bench v2.1, Humanity’s Last Exam, GPQA Diamond, CritPt, SciCode, AA-Omniscience и AA-LCR. Ломаной соединены фронтирные модели. Видно, насколько за пару лет сократился разрыв в способностях (и это еще на графике нет GLM-5.3). Многие амер

🔥16033👍22😁11🏆6😭53🤩3

21 Aug 2026, 08:59 UTC≈18,000 views131 reactionsread 23 August 2026
Video

Anthropic запустили Claude Academy https://claude.com/blog/anthropics-approach-to-teaching-and-learning-ai Инициатива направлена на «формирование AI-грамотности». Подход построен на том же, чему Anthropic учит собственных сотрудников на онбординге. Это не классический промпт-инжиниринг, а скорее продукто-агностичное обучение: вас учат общим правилам и универсальной логике общения с ИИ. Внутри – курсы с практикой ,

74👍31🔥15🗿4💯2😁211

20 Aug 2026, 18:24 UTC≈17,500 views134 reactionsread 23 August 2026
Photo

Nvidia хватается за соломинку, чтобы удержаться на рынке Китая: они разрабатывают для страны специальный новый чип для инференса The Information со ссылкой на двух сотрудников компании сообщает, что поставки начнутся уже к концу этого года. Причем это будет не обычная GPU семейства Blackwell или Hopper, а LPU – Language Processing Unit. То есть специализированный процессор для языкового инференса. В основе технолог

custom 577384876794184235779😁23👍17112🏆1😍1

20 Aug 2026, 15:49 UTC≈17,400 views281 reactions1 Starread 23 August 2026
Photo

У Теренса Тао вышла новая статья-эссе, полностью посвященная проблеме переосмысления математики в век AI https://arxiv.org/pdf/2608.16753 Если кратко, ученый предлагает вообще перестать спорить о том, насколько мощным станет ИИ в математике, и подумать о том, что на самом деле является целью математического исследования, если решение задач перестает быть узким местом. На самом деле, решение задачи – это не только

187🔥44👍28🕊7🗿5💯4🎄2🎉1

20 Aug 2026, 12:20 UTC≈16,600 views195 reactions1 Starread 23 August 2026
Video

Стартап Generalist анонсировали робота, который может выучить действие всего за одно повторение Достаточно один раз показать GEN-1.5, что и как надо сделать, и он тут же сможет продолжить делать это самостоятельно в one-shot, без файнтюнинга и обновления весов. Демонстрация вставляется в контекстное окно модели, как в промпт у LLM. Модель смотрит на это как на часть последовательности и продолжает ее. Самое интере

🔥12728👍20🤯93🕊3custom 57738487679418423573🍾1

Showing the 12 most recent of 74 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 1 post 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
18 August 2026

Citation-graph rank

Citation-graph rank — 2,748 of 1,584,733entries 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.

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Тётушка Аня и ИИ
@iiinmanagement · 77
1 post
Ира в режиме RnD
@iratttional_AI · 312
1 post
Иван Коротеев про ИИ: применение нейросетей, секреты chatgpt
@korocheai · 263
1 post
leadershift
@leader_shift · 109
1 post
LegalTech для этих
@legaltech_for_me · 3
1 post
letsCode Channel
@letsCode_dru · 1,686
1 post
ЛИМС и Аккредитация лабораторий
@limsaccreditation · 3,519
1 post
Скинь мне почитать
@link4read · 33
1 post
Anti-hype ИИ / Vibe Менеджмент
@llm_ai_tech · 21
1 post
Макеев: как перестать вайбкодить и начать жить
@makeev_sexiIT · 2,467
1 post
MaxRepost
@maxrepost · 1,362
1 post
ml phys
@mlphys · 2,857
1 post
ИИ в горах | обучение машинному обучению
@mountainai_info · 738
1 post
Morozov ML
@mrzvML · 6
1 post
AI исследует
@mybigdata · 42
1 post
Нейросоус
@neuralsauce · 40
1 post
Ignition of cognition
@neurobros · 224
1 post
neurofuturism
@neurofuturism2568 · 38
1 post
NIKTA NEWS
@niktanewsforweb · 3
1 post
Ларри-Элвис | Нейросети
@nlarryelvis_ai · 66
1 post
Nurmuhammad - SWE
@noornotes · 451
1 post
NZT-RESEARCH🧑‍💻
@NZT_RESEARCH · 241
1 post
о фундаментальном
@o_fundamentalnom · 418
1 post
Open_Mind
@openmind_chanell · 13
1 post
Оплот Парадокса®
@oplprdx · 78
1 post
Оранжевый верблюд
@orangecamelil · 503
1 post
Сергей Марков: машинное обучение, искусство и шитпостинг
@oulenspiegel_channel · 11,096
1 post
Python на завтрак
@python_for_breakfast · 355
1 post
Remote Meme Execution
@RemoteMemeExecution · 1,531
1 post
Проявляй очевидное
@Reveal_the_Obvious · 161
1 post
Путь в R&D - Каюмов Лев
@rndlabs · 135
1 post
Рома Ватриковский
@roma_vatrikovsky · 223
1 post
RTD: Ссылки и репосты
@rtdlinks · 575
1 post
Семёнов Daily (AI)
@semyonovdaily · 241
1 post
Сафронов репостит
@sfrnv_repost · 14
1 post
SOERDEV | клуб инженеров-программистов
@soer_live · 1,702
1 post
PRO анализ в ИТ
@spherical_analyst · 2,634
1 post
Диджитализируй!
@t0digital · 28,571
1 post
📈 ТехноТренды: Технологии, Тренды, IT
@technologies_trends · 1,131
1 post
Женя, расскажи про AI
@that_ai_guy · 371
1 post
Думай, как Каранюк
@thinklikekaranyuk · 494
1 post
Tinfoil Base
@tinfoilbase · 459
1 post
Математика
@upstairs_math · 101
1 post
VP Cybersecurity Brief
@VPCBrief · 525
1 post
White Tensor [AI, ML, DL]
@white_tensor · 161
1 post
ЖУРАВЛЁВ
@Zhuravlev59 · 254
1 post

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 68 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.

ЗаДень - Boryaba AI News
@boryabanews · 266
17 posts
cortex_pulse AI
@cortex_pulse · 35
16 posts
Самое ИИ
@giveii · 41
12 posts
Лента AI новостей by KIRRO Digital
@lenta_AI · 174
11 posts
B.IA.seed Edge
@BiasedEdge · 260
10 posts
Ежедневно про АИ
@ai_daily_summary · 6
8 posts
AI Vibe | новости ML нейросети LLM
@ai_link_vibe · 129
7 posts
AI Sapiens | Нейросети и ИИ
@aisapiens · 2,820
5 posts
DSTGSUM
@DSTGSUM · 44
3 posts
Евгений Дитковский
@orgdesignplus · 73
3 posts
🏢 13 этаж, CHATGPT, DeepSeek и другие нейросети, новости ИИ 🤖
@thThirteenthFloor · 101
3 posts
Искусственный интеллект. Новости и код.
@agregator_ai · 1,954
2 posts
Sahwa | Digital Nation 🇺🇳
@ceo_sahwa · 81
2 posts
Telegram Man's blog (Mirror)
@coinpools · 3,763
2 posts
Kitty Bytes AI
@kitty_bytes · 367
2 posts
нейро
@mcpnotebook · 30
2 posts
Open_Mind
@openmind_chanell · 13
2 posts
AI Бизнес | Aшот Онлайн | Вкалывают роботы, счастлив Человек
@ashotonline · 518
1 post
Deep 🍒 Picking | Артём Вишня
@asvishnya_blog · 132
1 post
Самосознание ИИ 🔆 ПРОБУЖДЕНИЕ РАЗУМА🔆
@AwakeAI · 128
1 post
Даниил Вяткин. Data & AI.
@daniil_vyatkin_professional · 79
1 post
𝘋𝘌𝘈𝘓𝘌𝘕𝘟 ⚡️ Одобряет!
@dealenxfeed · 24
1 post
Переходим в Дата Сайенс
@moving_to_ds · 66
1 post
IA (INTELLIGENCE AMPLIFICATION). PHGTLSM
@phgtlsm_ia · 25
1 post

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.

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 · 96,240
#1
Сиолошная
@seeallochnaya · 77,781
#2
Machinelearning
@ai_machinelearning_big_data · 284,523
#3
Data Secrets | Карьера
@data_secrets_career · 7,122
#4
Denis Sexy IT 🤖
@denissexy · 135,227
#5
DeepSchool
@deep_school · 10,675
#6
XOR
@xor_journal · 151,915
#7
Время Валеры
@cryptovalerii · 30,743
#8
Техножрица 👩‍💻👩‍🏫👩‍🔧
@tech_priestess · 14,808
#9
еба́ные идеи для резерча
@ebaresearch · 5,280
#10
Dealer.AI
@dealerAI · 16,489
#11
Борис опять
@boris_again · 17,519
#12
LLM под капотом
@llm_under_hood · 28,760
#13
BOGDANISSSIMO
@bogdanisssimo · 6,971
#14
🏆 AIeron | Data Feeling
@datafeeling · 14,420
#15
Старший Авгур
@senior_augur · 7,604
#16
Machine learning Interview
@machinelearning_interview · 30,152
#17
Институт AIRI
@airi_research_institute · 13,267
#18
Yandex for ML
@yandexforml · 18,759
#19
Нескучный Data Science
@not_boring_ds · 12,039
#20
Kali Novskaya
@rybolos_channel · 19,006
#21
Метаверсище и ИИще
@cgevent · 51,410
#22
Анализ данных (Data analysis)
@data_analysis_ml · 50,530
#23
Neural Shit
@NeuralShit · 52,847
#24
Градиент обреченный
@doomgrad · 8,715
#25
что-то на DL-ском
@nadlskom · 4,908
#26
Математика Дата саентиста
@data_math · 14,134
#27
Complete AI
@complete_ai · 7,828
#28
ML-легушька
@BDataScienceM · 3,717
#29
Dev & ML Connectable Jobs
@dev_connectablejobs · 27,156
#30
🏄 Соревновательный Data Science | Kaggle | Чемпионаты
@data_science_winners · 3,395
#31
Жёлтый AI
@zheltyi_ai · 9,392
#32
Сергей Марков: машинное обучение, искусство и шитпостинг
@oulenspiegel_channel · 11,096
#33
Нескучный Data Science Jobs
@not_boring_ds_jobs · 8,942
#34
РИСЕРЧОШНАЯ
@researchoshnaya · 2,450
#35
Start Career in DS
@start_ds · 11,523
#36
Mashkka про Data Science
@mashkka_ds · 5,054
#37
Агенты ИИ | AGI_and_RL
@AGI_and_RL · 6,128
#38
Дратути Антон
@blog_toxa · 4,374
#39
grokaem себя
@grokaem_seby · 2,699
#40
Derp Learning
@derplearning · 13,845
#41
Data Science Jobs
@datasciencejobs · 21,710
#42
Just links
@j_links · 6,891
#43
Kantor.AI
@kantor_ai · 12,241
#44
Al Talent Hub
@aitalenthubnews · 7,683
#45
Тагир Анализирует
@tagir_analyzes · 11,726
#46
AI для Всех
@nn_for_science · 15,535
#47
addmeto
@addmeto · 71,921
#48
Душный NLP
@stuffyNLP · 6,626
#49
DLStories
@dl_stories · 15,505
#50
То шо нейросети
@toshoseti · 1,403
#51
Data, Stories and Languages
@datastorieslanguages · 3,572
#52
Библиотека дата-сайентиста | Data Science, Machine learning, анализ данных, машинное обучение
@dsproglib · 18,380
#53
ML for Value / Ваня Максимов
@ml4value · 5,716
#54
КПД
@quant_prune_distill · 3,422
#55
Data Science Jobs
@datascienceml_jobs · 21,029
#56
Машинное обучение RU
@machinelearning_ru · 18,144
#57
Data Science | Machinelearning [ru]
@devsp · 19,804
#58
Пресидский залив
@neural_prosecco · 8,034
#59
Knowledge Accumulator
@knowledge_accumulator · 5,686
#60
epsilon correct
@epsiloncorrect · 8,110
#61
Запрети мне псевдолейблить
@pseudolabeling · 4,119
#62
Библиотека собеса по Data Science | вопросы с собеседований
@ds_interview_lib · 4,482
#63
Take Friends to Luna Park
@hrlunapark · 19,596
#64
ФКН НИУ ВШЭ
@fcs_hse · 13,928
#65
(sci)Berloga Всех Наук и Технологий
@sberlogabig · 7,855
#66
AbstractDL
@abstractDL · 18,268
#67
Chad Protocol - карьера, IT, успех
@chad_protocol · 11,121
#68
Инжиниринг Данных
@rockyourdata · 23,811
#69
Information Retriever
@inforetriever · 4,073
#70
ML — это ОК
@mlvok · 2,109
#71
MLinside - школа ML
@ml_inside · 4,036
#72
Reliable ML
@reliable_ml · 6,606
#73
ODS Events
@datafest · 8,814
#74
CodeCamp
@codecamp · 182,623
#75
Хабр
@habr_com · 131,725
#76
Стать специалистом по машинному обучению
@toBeAnMLspecialist · 10,864
#77
DziS Science | Data Science
@dzis_science · 2,209
#78
Programmer & IT Memes
@itmemes · 124,335
#79
AI Happens
@aihappens · 14,496
#80
ODS #jobs
@odsjobs · 13,755
#81
New Yorko Times
@new_yorko_times · 10,477
#82
Поступашки - ШАД, Стажировки и Магистратура
@postypashki_old · 43,934
#83
Сергей Булаев AI 🤖
@sergiobulaev · 12,644
#84
Data jobs — вакансии по data science, анализу данных, аналитике, искусственному интеллекту
@datajob · 14,538
#85
Young&&Yandex
@Young_and_Yandex · 110,453
#86
Бэкдор
@whackdoor · 1,636,134
#87
Эксплойт
@exploitex · 2,061,534
#88
ФКН: Вакансии
@vacancy_cs · 16,370
#89
Заметки Computer Vision инженера
@CVML_team · 6,002
#90
Physics.Math.Code
@physics_lib · 145,896
#91
Зарплатник Аналитика
@zarplatnik_analytics · 11,442
#92
kyrillic
@kyrillic · 60,310
#93
Нейронки и вино
@neural_wine · 1,938
#94
rizzearch
@rizzearch · 1,028
#95
Глеб Михайлов
@mikhaylovgleb · 13,984
#96
̶с̶а̶м̶̶о̶изолента мёбиуса
@izolenta_mebiusa · 2,752
#97
Код.ру
@d_code · 386,224
#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.

XOR
@xor_journal · 151,915
Telegram ranks this channel #1 of 93 here — alongside 92 others — read 12 August 2026
Machinelearning
@ai_machinelearning_big_data · 284,523
Telegram ranks this channel #2 of 95 here — alongside 94 others — read 10 August 2026
Physics.Math.Code
@physics_lib · 145,896
Telegram ranks this channel #8 of 72 here — alongside 71 others — read 13 August 2026
эйай ньюз
@ai_newz · 96,240
Telegram ranks this channel #10 of 94 here — alongside 93 others — read 16 August 2026
Сиолошная
@seeallochnaya · 77,781
Telegram ranks this channel #13 of 97 here — alongside 96 others — read 19 August 2026
Искусственный интеллект. Высокие технологии
@vistehno · 72,222
Telegram ranks this channel #15 of 94 here — alongside 93 others — read 20 August 2026
Denis Sexy IT 🤖
@denissexy · 135,227
Telegram ranks this channel #21 of 95 here — alongside 94 others — read 13 August 2026
e/acc
@cryptoEssay · 62,596
Telegram ranks this channel #26 of 96 here — alongside 95 others — read 21 August 2026
Силиконовый Мешок
@prompt_design · 81,996
Telegram ranks this channel #30 of 96 here — alongside 95 others — read 18 August 2026
[PYTHON:TODAY]
@python2day · 63,889
Telegram ranks this channel #31 of 91 here — alongside 90 others — read 21 August 2026
GeekNeural
@geekneural · 64,103
Telegram ranks this channel #31 of 92 here — alongside 91 others — read 21 August 2026
Отдел К: IT-технологии, кибербезопасность
@cyber_cabb · 81,748
Telegram ranks this channel #32 of 94 here — alongside 93 others — read 18 August 2026
NOP::Nuances of Programming
@nuancesprog · 56,874
Telegram ranks this channel #34 of 84 here — alongside 83 others — read 23 August 2026
PROAI
@pro_ai_news · 92,732
Telegram ranks this channel #35 of 92 here — alongside 91 others — read 16 August 2026
Малоизвестное интересное
@theworldisnoteasy · 73,957
Telegram ranks this channel #36 of 94 here — alongside 93 others — read 19 August 2026
Технологии | Нейросети | Боты
@aiaiai · 177,448
Telegram ranks this channel #37 of 93 here — alongside 92 others — read 12 August 2026
GPT-4 Community
@gpt4_tg · 55,350
Telegram ranks this channel #47 of 90 here — alongside 89 others — read 23 August 2026
Чёрный Треугольник
@black_triangle_tg · 63,828
Telegram ranks this channel #49 of 87 here — alongside 86 others — read 21 August 2026
Young&&Yandex
@Young_and_Yandex · 110,453
Telegram ranks this channel #49 of 92 here — alongside 91 others — read 14 August 2026
Простой Python | Программирование
@python_piton_javascript · 128,051
Telegram ranks this channel #49 of 84 here — alongside 83 others — read 13 August 2026
GitHub Community
@github · 152,669
Telegram ranks this channel #49 of 87 here — alongside 86 others — read 12 August 2026
Однажды в трендах
@trendo · 68,975
Telegram ranks this channel #52 of 90 here — alongside 89 others — read 20 August 2026
Библиотека программиста
@proglibrary · 78,409
Telegram ranks this channel #53 of 82 here — alongside 81 others — read 19 August 2026
Школа 21
@school21sber · 72,742
Telegram ranks this channel #62 of 94 here — alongside 93 others — read 19 August 2026

This channel appears in 28 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 23 August 2026 — this entry's latest reading, not the date you are reading this.

“Data Secrets” (@data_secrets), 92,333 subscribers as measured 23 August 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.