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Channel

Data Secrets

@data_secrets

Verified by Telegram

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

96,159subscribers

+4,224 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 AI 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 live11 November 2026
Measurements held66
Confirmed unchanged1 time, most recently 11 November 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 the other topics.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 1 other registered channel. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@data_secrets/9761 · this entry25 Aug 2026, 14:02 UTC@ai_machinelearning_big_data/1079328 Aug 2026, 11:25 UTC1.003 days
@data_secrets/9904 · this entry11 Sept 2026, 15:01 UTC@ai_machinelearning_big_data/1090911 Sept 2026, 15:33 UTC1.0033 minutes
@data_secrets/10005 · this entry24 Sept 2026, 09:01 UTC@ai_machinelearning_big_data/1101224 Sept 2026, 17:02 UTC1.008.0 hours
@data_secrets/10209 · this entry26 Oct 2026, 08:02 UTC@ai_machinelearning_big_data/1121927 Oct 2026, 09:00 UTC1.0025 hours
@data_secrets/9933 · this entry16 Sept 2026, 08:02 UTC@ai_machinelearning_big_data/1102628 Sept 2026, 09:01 UTC0.9812 days
@data_secrets/9923 · this entry14 Sept 2026, 17:30 UTC@ai_machinelearning_big_data/1093014 Sept 2026, 18:10 UTC0.9640 minutes
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@ai_machinelearning_big_data8 (8/8 hand-verifiable sample passed)0.988.0 hoursthis entry (6–2)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 2 of the 2 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 427 comparable posts for this entry, running 3 August 2026 to 11 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Recorded under the key clone_source, last confirmed 12 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Growth

91,93396,15994,0465 August 202611 November 2026
66 measurements spanning 98 days, net +4,224. 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 91,299–96,793 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 66
Measured (UTC)SubscribersChange
11 Nov 2026, 13:4496,159+124
9 Nov 2026, 16:5596,035-8
8 Nov 2026, 11:5796,043+30
7 Nov 2026, 03:5896,013+24
6 Nov 2026, 01:2195,989+55
5 Nov 2026, 02:2795,934+24
4 Nov 2026, 02:0895,910+56
3 Nov 2026, 01:4795,854+41
2 Nov 2026, 01:5695,813+30
1 Nov 2026, 00:0595,783+41
31 Oct 2026, 01:2195,742+83
29 Oct 2026, 23:4495,659+97
28 Oct 2026, 21:2895,562+78
27 Oct 2026, 20:4595,484+83
26 Oct 2026, 21:3995,401+36
25 Oct 2026, 23:4095,365+22
24 Oct 2026, 22:4095,343+42
24 Oct 2026, 02:0695,301+44
22 Oct 2026, 22:4895,257+59
21 Oct 2026, 22:5095,198first reading

Engagement

491 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 202 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
22.8%
avg views ÷ 96,159 subscribers
Avg views / post
21,900
128 posts measured
Reaction rate
1.31%
reactions ÷ views · ER floor
Posts in window
128
of 491 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 11 November 2026
Posts held491 (3 August 2026 – 11 November 2026)
Views total2,804,970
Reactions total36,725
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 21:35 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
≈7,640
Videos
≈914
Links
≈3,540

Lifetime counters from Telegram’s own channel header, read 11 November 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 38m
Average length
1m 09s

Measured directly from 85 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

136,009 reactions across 487 posts, in 38 distinct kinds. The most used accounts for 36.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
😁49,69136.5%
❤25,09818.5%
🔥14,19110.4%
custom 577384876794184235710,3967.64%
👍10,2907.57%
🤯6,1924.55%
🗿4,7033.46%
custom 58502794890906272372,8682.11%
😭1,4591.07%
🫡9210.677%
🤔9020.663%
💯7190.529%
❤‍🔥7080.521%
⚡6920.509%
😎6910.508%
🕊5980.44%
🤨5820.428%
🤩4910.361%
👏4740.349%
🐳4300.316%
18 further kinds3,9132.88%

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 491 of the 491 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 137,617 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 491 most recent posts we hold, published 3 August 2026 to 11 November 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Telegram Stars

Stars received
169
across the posts below
Posts paid on
99
of 491 we hold a reading for · 20%
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 491 most recent posts we hold for this entry, published 3 August 2026 to 11 November 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
3.87%
19 of 491 posts carry an ad marker
Regulatory tokens
19
posts carrying an erid · 19 distinct tokens
Median views · ads
17,400
over 19 measured posts
Median views · rest
19,700
over 472 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
2RanykUrsrj114 October 202614 October 2026
2RanymPsU9z15 November 20265 November 2026
2Ranymt5vk4111 November 202611 November 2026
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

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. 7 further tokens are held for this entry and not listed here.

Measured over the 491 most recent posts we hold, published 3 August 2026 to 11 November 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

Telegram’s own ‘edited’ marker: 27 of 128 posts held from the last 30 days (21.1%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

11 Nov 2026, 20:39 UTC≈7,770 views372 reactionsread 11 November 2026
Photo

Уже AGI?

😁331❤21👍8💯5🔥5🐳1🤝1

11 Nov 2026, 17:18 UTC≈13,200 views196 reactionsread 11 November 2026
Photo

Google DeepMind выпустили AlphaProof Code – систему для формальной верификации кода Обычно код тестируется эмпирически, то есть мы обкладываем его тестами, ревью и аудитами, которые проверяют программу на отдельные ошибки, и надеемся, что таким образом можем проверить все. А формальная верификация – это более строгий подход. Свойства программы записываются математически, и затем строится строгое доказательство, что…

❤119👍27🔥23custom 577384876794184235714😁6🤔5⚡1🍓1

11 Nov 2026, 15:04 UTC≈13,400 views30 reactionsread 11 November 2026
Advertisementerid 2Ranymt5vk4Photo

Приглашаем на Data Sapience Data Day 2026 🌊 📆 18 ноября, 14:00, Москва, офлайн Клиенты, партнеры Data Sapience, независимые эксперты и специалисты по AI сравнят подходы и на равных обсудят, куда движется рынок. Программа: ▫️Дискуссия Data Sapience вместе со СберБанком, Газпромбанком, Альфа-Банком и X5 обсудят, как меняется работа с данными, что в ней уже берет на себя ИИ, а что делегировать невозможно. ▫️Доклады…

🗿13❤‍🔥5🤯5❤3🔥1🤨1😁1😍1

11 Nov 2026, 14:09 UTC≈15,000 views275 reactionsread 11 November 2026
Photo

AI Futures Project обновили свой знаменитый прогноз AI 2027 Примерно полтора года назад группа исследователей во главе с известным бывшим рисерчером OpenAI Даниэлем Кокотаджило предсказала, что будет происходить с ИИ до 2028 года: https://t.me/data_secrets/6603. Их документ тогда вызвал просто небывалый резонанс. А несколько дней назад вышел отчет METR о том, как Claude ускоряет разработку ИИ в Anthropic: https://t…

😁147custom 577384876794184235786❤17👾10🗿8🔥3👍2🤨1

11 Nov 2026, 12:45 UTC≈20,400 views453 reactions2 Starsread 11 November 2026
Photo

Forbes пишет, что из-за рекордного обвала цен на каннабис его производители, у которых уже есть огромные промышленные площадки с мощным электро- и водоснабжением, климат-конролем и оптоволокном, прямо сейчас пытаются переквалифицироваться во владельцев дата-центров для ИИ. ☕️☕️☕️ https://www.forbes.com/sites/willyakowicz/2026/10/21/inside-the-weed-industrys-ai-data-center-pipe-dream/

😁377❤29😎13custom 577384876794184235711custom 58502794890906272378🤯6🔥3❤‍🔥2

11 Nov 2026, 10:04 UTC≈18,600 views248 reactionsread 11 November 2026
Photo

Qwen-4 с минуты на минуту У кого-то новая модель уже появляется в QwenChat, а также она доступна в Alibaba Token Plan Самый долгожданный релиз недели

🔥175❤33custom 577384876794184235726💯5😁5👍4

11 Nov 2026, 09:02 UTC≈17,500 views63 reactionsread 11 November 2026
Photo

🧠 Как научить AI-ассистента помнить предыдущие разговоры? Почему AI-ассистенты иногда забывают контекст прошлых диалогов и как устроить их память так, чтобы каждый новый разговор не начинался с нуля? 12 ноября в 19:00 МСК онлайн-школа MLinside проведёт открытый вебинар об устройстве памяти AI-ассистентов. На вебинаре Андрей Жогов, ML-инженер в Сбере и преподаватель МФТИ, расскажет: • Зачем AI-ассистентам нужна пам…

😁31❤10🤯10custom 57738487679418423575🔥3🗿2😢2

11 Nov 2026, 07:49 UTC≈18,600 views145 reactionsread 11 November 2026
Video

Anthropic подсиживает Microsoft перед IPO: в чате Claude теперь можно работать с таблицами, дашбордами и досками Это три новых вида артефактов: Claude Sheets, Claude Whiteboards и Claude Data. Контекст переходит между форматами, то есть вы можете начать на доске, продолжить в таблице, закончить дашбордом, и агент все это будет держать в памяти без дополнительных инструкций. Таблицы выглядят симпатично: есть вкладк…

🔥90❤29👍11😁6custom 57738487679418423576🤯2❤‍🔥1

10 Nov 2026, 16:33 UTC≈20,100 views316 reactionsread 11 November 2026
Photo

Gemini 4 Carbon раскатили на широкую* аудиторию * Если широкой аудиторией можно назвать подписчиков, которые платят 250 долларов за тариф AI Ultra

😁277❤17🤯16🔥3👍2😢1

10 Nov 2026, 11:52 UTC≈22,100 views244 reactions1 Starread 11 November 2026
Photo

Claude Fable 5.2 с нуля спроектировала несколько электронных устройств В ходе совместных экспериментов с компанией Diode Computers модель разработала спикерфон с USB-C и Bluetooth, голосовой хаб для умного дома и портативный виртуальный питомец. На каждое устройство давали только короткий промпт с описанием идеи и главных требований к железу. Дальше Claude сам писал спецификацию, рисовал схемы, расставлял компонент…

❤139custom 585027948909062723742👍23🗿12🔥9😁8🤔5custom 57738487679418423574

10 Nov 2026, 09:28 UTC≈21,000 views44 reactionsread 11 November 2026
Photo

Аналитики, освобождаем вечера с 23 по 27 ноября! Школа анализа данных Яндекса проводит бесплатный AI Analytics Week. За 5 дней на кейсах Яндекса разберут, как ИИ-агенты встраиваются в реальный аналитический процесс и забирают часть ручной работы. В программе: — Агентные системы: ReAct, Tool Calling, доступ к данным через MCP — LLM в экспериментах: от расчёта выборки до синтетического контроля — Как не потерять кон…

🗿22❤9🤯4😢3👍2😁2😭2

10 Nov 2026, 07:41 UTC≈21,800 views212 reactionsread 11 November 2026
Video

OpenAI сделали маленькую портативную консоль с Codex внутри Это их совместный продукт с производителем ретро-железа ModRetro. За 200 долларов вы получаете ретро консольку в стиле Game Boy Color, на которую сами можете создавать игры с помощью Codex. Для этого в приложении Codex нужно будет просто установить плагин ModRetro Chromatic и описать, какой мир вы хотите. Агент разрабатывает игру, тестирует ее в эмуляторе …

❤118👍27❤‍🔥25🗿11🔥10🤨10😁7👾2

Showing the 12 most recent of 491 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

Posts recorded as deleted after publishing

We recorded 5 posts on @data_secrets as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.

A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.

First seen missing
11 August 2026
Most recent seen missing
13 October 2026
Median time before seen missing
2 days
Seen missing in the last 30 days
1

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 491 most recent posts we hold, published 3 August 2026 to 11 November 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 105 registered channels. The 48 listed are the ones that have forwarded the most posts; the rest are counted here but not each listed.

Технозаметки Малышева
@tsingular · 13,299
7 posts
Миша Мордвинцев - ML и DS
@ml_mordvintsev · 84
6 posts
AGDchan
@Agdchan · 98,271
4 posts
#ChatGPT now
@ChatGPTnow · 131
4 posts
Machine Learning Research
@MLResearch · 953
4 posts
Data360.ru
@fsecrets · 82
4 posts
Выжимка | ИИ практики, кейсы, новости кратко
@thinkingmachines_ru · 156
4 posts
Geek’s mix
@Geeksmix · 34
3 posts
Ни слова о нейросетях
@ai4bus · 1,075
3 posts
Навука и моя жизнб
@navuka_i_jizn · 159
3 posts
Вкатиться в AI
@thinkandroll · 20
3 posts
Andromeda_AI
@Andromeda_AI · 12
2 posts
Самосознание ИИ 🔆 ПРОБУЖДЕНИЕ РАЗУМА🔆
@AwakeAI · 135
2 posts
Commit Happens
@CommitHappens · 96
2 posts
Gusev | Technological Singularity | Future of Work
@Gusev_Channel · 170
2 posts
ИИ: гипотезы и прототипы
@ITdumki · 7
2 posts
AI не справился // НЕЙШН
@ai_fucked_up · 219
2 posts
DM | WEDOIT
@ai_generat · 219
2 posts
Askhabov Khamzat - Notes
@askhabov_khamzat · 104
2 posts
Данила Может 💣
@danilamojet · 88
2 posts
Технократия от ИТ
@it_technocracy · 15
2 posts
Lowkey
@loowkey · 94
2 posts
IA (INTELLIGENCE AMPLIFICATION). PHGTLSM
@phgtlsm_ia · 22
2 posts
Шаришь за ИИ?
@sharishzaAI · 841
2 posts
Учеба
@vaject · 1
2 posts
Единички Нолики
@aLittleBits · 343
1 post
ДелAI
@ai_delai · 160
1 post
Дружу с AI 🚀
@ai_friendship · 24
1 post
Технологии в спорте
@ai_in_sport · 111
1 post
AI Insider
@ai_insider · 13
1 post
ИИволюция 👾
@ai_volution · 12,153
1 post
Alex in IT
@alex_in_it · 5
1 post
Пост Лукацкого
@alukatsky · 38,465
1 post
1С антистресс
@antistress_1C · 14
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 · 680
1 post
Клуб CDO
@cdo_club · 4,132
1 post
Classical Vlad
@classical_vlad · 516
1 post
Telegram Man's blog (Mirror)
@coinpools · 3,362
1 post
Новый Зодчий
@concept_me · 56
1 post
consciousness_materials
@consciousness_materials · 51
1 post
Resident Life
@crypto_resident_life · 320
1 post
местный датасасер ☮️
@datasas · 1,816
1 post
𝘋𝘌𝘈𝘓𝘌𝘕𝘟 ⚡️ Одобряет!
@dealenxfeed · 23
1 post
Джун на фронте | IT Dev Log
@divatoz · 7,544
1 post
ИИнтересное у Эда
@ed_aimore · 1,357
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 79 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.

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 · 98,339
#1
Сиолошная
@seeallochnaya · 81,254
#2
Machinelearning
@ai_machinelearning_big_data · 275,659
#3
Data Secrets | Карьера
@data_secrets_career · 7,395
#4
Denis Sexy IT 🤖
@denissexy · 140,753
#5
DeepSchool
@deep_school · 10,736
#6
XOR
@xor_journal · 195,083
#7
Время Валеры
@cryptovalerii · 32,080
#8
Техножрица 👩‍💻👩‍🏫👩‍🔧
@tech_priestess · 15,143
#9
еба́ные идеи для резерча
@ebaresearch · 5,368
#10
Dealer.AI
@dealerAI · 17,113
#11
Борис опять
@boris_again · 17,955
#12
LLM под капотом
@llm_under_hood · 30,219
#13
BOGDANISSSIMO
@bogdanisssimo · 7,020
#14
🏆 AIeron | Data Feeling
@datafeeling · 14,202
#15
Старший Авгур
@senior_augur · 8,372
#16
Machine learning Interview
@machinelearning_interview · 30,562
#17
Институт AIRI
@airi_research_institute · 13,977
#18
Yandex for ML
@yandexforml · 19,155
#19
Нескучный Data Science
@not_boring_ds · 12,081
#20
Kali Novskaya
@rybolos_channel · 19,139
#21
Метаверсище и ИИще
@cgevent · 53,591
#22
Анализ данных (Data analysis)
@data_analysis_ml · 51,973
#23
Neural Shit
@NeuralShit · 54,643
#24
Градиент обреченный
@doomgrad · 8,840
#25
что-то на DL-ском
@nadlskom · 5,152
#26
Математика Дата саентиста
@data_math · 14,427
#27
Complete AI
@complete_ai · 7,887
#28
ML-легушька
@BDataScienceM · 3,743
#29
Dev & ML Connectable Jobs
@dev_connectablejobs · 29,105
#30
🏄 Соревновательный Data Science | Kaggle | Чемпионаты
@data_science_winners · 3,366
#31
Жёлтый AI
@zheltyi_ai · 9,375
#32
Сергей Марков: машинное обучение, искусство и шитпостинг
@oulenspiegel_channel · 12,397
#33
Нескучный Data Science Jobs
@not_boring_ds_jobs · 9,430
#34
РИСЕРЧОШНАЯ
@researchoshnaya · 2,464
#35
Start Career in DS
@start_ds · 11,460
#36
Mashkka про Data Science
@mashkka_ds · 5,306
#37
Агенты ИИ | AGI_and_RL
@AGI_and_RL · 6,280
#38
Дратути Антон
@blog_toxa · 4,357
#39
grokaem себя
@grokaem_seby · 2,759
#40
Derp Learning
@derplearning · 13,997
#41
Data Science Jobs
@datasciencejobs · 22,587
#42
Just links
@j_links · 6,943
#43
Kantor.AI
@kantor_ai · 12,215
#44
Al Talent Hub
@aitalenthubnews · 7,826
#45
Тагир Анализирует
@tagir_analyzes · 11,641
#46
AI для Всех
@nn_for_science · 15,453
#47
addmeto
@addmeto · 72,013
#48
Душный NLP
@stuffyNLP · 6,718
#49
DLStories
@dl_stories · 15,546
#50
То шо нейросети
@toshoseti · 1,390
#51
Data, Stories and Languages
@datastorieslanguages · 3,922
#52
Библиотека дата-сайентиста | Data Science, Machine learning, анализ данных, машинное обучение
@dsproglib · 18,289
#53
ML for Value / Ваня Максимов
@ml4value · 5,676
#54
КПД
@quant_prune_distill · 3,517
#55
Data Science Jobs
@datascienceml_jobs · 21,642
#56
Машинное обучение RU
@machinelearning_ru · 18,334
#57
Data Science | Machinelearning [ru]
@devsp · 19,651
#58
Пресидский залив
@neural_prosecco · 8,653
#59
Knowledge Accumulator
@knowledge_accumulator · 5,683
#60
epsilon correct
@epsiloncorrect · 8,199
#61
Запрети мне псевдолейблить
@pseudolabeling · 4,507
#62
Библиотека собеса по Data Science | вопросы с собеседований
@ds_interview_lib · 4,459
#63
Take Friends to Luna Park
@hrlunapark · 21,014
#64
ФКН НИУ ВШЭ
@fcs_hse · 14,721
#65
(sci)Berloga Всех Наук и Технологий
@sberlogabig · 8,021
#66
AbstractDL
@abstractDL · 18,849
#67
Chad Protocol - карьера, IT, успех
@chad_protocol · 12,390
#68
Инжиниринг Данных
@rockyourdata · 23,679
#69
Information Retriever
@inforetriever · 4,167
#70
ML — это ОК
@mlvok · 2,094
#71
MLinside - школа ML
@ml_inside · 4,088
#72
Reliable ML
@reliable_ml · 6,606
#73
ODS Events
@datafest · 8,857
#74
CodeCamp
@codecamp · 177,529
#75
Хабр
@habr_com · 134,497
#76
Стать специалистом по машинному обучению
@toBeAnMLspecialist · 10,884
#77
DziS Science | Data Science
@dzis_science · 2,186
#78
Programmer & IT Memes
@itmemes · 121,889
#79
AI Happens
@aihappens · 14,524
#80
ODS #jobs
@odsjobs · 14,599
#81
New Yorko Times
@new_yorko_times · 10,720
#82
Поступашки - ШАД, Стажировки и Магистратура
@postypashki_old · 47,200
#83
Сергей Булаев AI 🤖
@sergiobulaev · 12,591
#84
Data jobs — вакансии по data science, анализу данных, аналитике, искусственному интеллекту
@datajob · 15,159
#85
Young&&Yandex
@Young_and_Yandex · 113,002
#86
Бэкдор
@whackdoor · 1,538,229
#87
Эксплойт
@exploitex · 2,021,350
#88
ФКН: Вакансии
@vacancy_cs · 18,458
#89
Заметки Computer Vision инженера
@CVML_team · 6,118
#90
Physics.Math.Code
@physics_lib · 146,676
#91
Зарплатник Аналитика
@zarplatnik_analytics · 11,694
#92
kyrillic
@kyrillic · 61,233
#93
Нейронки и вино
@neural_wine · 1,931
#94
rizzearch
@rizzearch · 1,004
#95
Глеб Михайлов
@mikhaylovgleb · 14,253
#96
̶с̶а̶м̶̶о̶изолента мёбиуса
@izolenta_mebiusa · 2,776
#97
Код.ру
@d_code · 405,458
#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 · 26,483
Telegram ranks this channel #1 of 95 here — alongside 94 others — read 10 September 2026
XOR
@xor_journal · 195,083
Telegram ranks this channel #1 of 93 here — alongside 92 others — read 12 August 2026
Data Science | Machinelearning [ru]
@devsp · 19,651
Telegram ranks this channel #2 of 91 here — alongside 90 others — read 30 September 2026
Machine learning Interview
@machinelearning_interview · 30,562
Telegram ranks this channel #2 of 98 here — alongside 97 others — read 7 September 2026
Анализ данных (Data analysis)
@data_analysis_ml · 51,973
Telegram ranks this channel #2 of 93 here — alongside 92 others — read 25 August 2026
Machinelearning
@ai_machinelearning_big_data · 275,659
Telegram ranks this channel #2 of 95 here — alongside 94 others — read 10 August 2026
Yandex for ML
@yandexforml · 19,155
Telegram ranks this channel #4 of 96 here — alongside 95 others — read 4 October 2026
Data Science Jobs
@datascienceml_jobs · 21,642
Telegram ranks this channel #6 of 97 here — alongside 96 others — read 24 September 2026
Stepik – онлайн-курсы
@stepik_courses · 28,865
Telegram ranks this channel #6 of 93 here — alongside 92 others — read 16 September 2026
Data Science Jobs
@datasciencejobs · 22,587
Telegram ranks this channel #8 of 93 here — alongside 92 others — read 21 September 2026
Physics.Math.Code
@physics_lib · 146,676
Telegram ranks this channel #8 of 72 here — alongside 71 others — read 13 August 2026
karpov.courses
@KarpovCourses · 27,313
Telegram ranks this channel #9 of 96 here — alongside 95 others — read 10 September 2026
Take Friends to Luna Park
@hrlunapark · 21,014
Telegram ranks this channel #10 of 88 here — alongside 87 others — read 28 September 2026
LLM под капотом
@llm_under_hood · 30,219
Telegram ranks this channel #10 of 96 here — alongside 95 others — read 9 September 2026
AI Университет
@neural_university_webinar · 37,034
Telegram ranks this channel #10 of 96 here — alongside 95 others — read 31 August 2026
Data Science
@datascienceiot · 42,496
Telegram ranks this channel #10 of 76 here — alongside 75 others — read 29 August 2026
эйай ньюз
@ai_newz · 98,339
Telegram ranks this channel #10 of 94 here — alongside 93 others — read 16 August 2026
Neural Shit
@NeuralShit · 54,643
Telegram ranks this channel #11 of 92 here — alongside 91 others — read 24 August 2026
Data Science. SQL hub
@sqlhub · 36,025
Telegram ranks this channel #12 of 87 here — alongside 86 others — read 2 September 2026
Kali Novskaya
@rybolos_channel · 19,139
Telegram ranks this channel #13 of 93 here — alongside 92 others — read 4 October 2026
Not Boring Tech
@notboring_tech · 21,121
Telegram ranks this channel #13 of 91 here — alongside 90 others — read 26 September 2026
Время Валеры
@cryptovalerii · 32,080
Telegram ranks this channel #13 of 94 here — alongside 93 others — read 6 September 2026
involta - технологии, наука, будущее, IT, интернет!
@involta · 33,715
Telegram ranks this channel #13 of 89 here — alongside 88 others — read 3 September 2026
Сиолошная
@seeallochnaya · 81,254
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 11 November 2026 — this entry's latest reading, not the date you are reading this.

“Data Secrets” (@data_secrets), 96,159 subscribers as measured 11 November 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.