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Channel

Клуб анонимных аналитиков

@analyst_club

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

33,554subscribers

-252 since we began measuring on 6 August 2026

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

Register entry

Telegram ID-1001788488602
TypeChannel
Username@analyst_club
DescriptionКанал Алексея Колоколова об аналитике, визуализации данных и дашбордах. Навигация: https://t.me/analyst_club/3 Чат клуба: https://t.me/+1cO-ZjpIJtRkODJi Заявление на регистрацию в Роскомнадзоре №5207373407
CreatedBetween 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live18 September 2026
Measurements held33
Confirmed unchanged1 time, most recently 18 September 2026
On Telegramt.me/analyst_club

Topic

Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 81% confidence. 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

33,55433,80633,6806 August 2026 — 33,806 subscribers6 August 2026 — 33,804 subscribers8 August 2026 — 33,793 subscribers8 August 2026 — 33,768 subscribers10 August 2026 — 33,726 subscribers11 August 2026 — 33,697 subscribers12 August 2026 — 33,684 subscribers13 August 2026 — 33,687 subscribers14 August 2026 — 33,686 subscribers16 August 2026 — 33,665 subscribers17 August 2026 — 33,658 subscribers18 August 2026 — 33,659 subscribers19 August 2026 — 33,660 subscribers20 August 2026 — 33,647 subscribers21 August 2026 — 33,651 subscribers23 August 2026 — 33,648 subscribers24 August 2026 — 33,643 subscribers26 August 2026 — 33,642 subscribers27 August 2026 — 33,641 subscribers27 August 2026 — 33,647 subscribers28 August 2026 — 33,648 subscribers29 August 2026 — 33,649 subscribers30 August 2026 — 33,653 subscribers31 August 2026 — 33,652 subscribers1 September 2026 — 33,643 subscribers3 September 2026 — 33,639 subscribers4 September 2026 — 33,626 subscribers7 September 2026 — 33,600 subscribers10 September 2026 — 33,585 subscribers12 September 2026 — 33,580 subscribers14 September 2026 — 33,569 subscribers16 September 2026 — 33,564 subscribers18 September 2026 — 33,554 subscribers6 August 202618 September 2026
33 measurements spanning 43 days, net -252. 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 33,516–33,844 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
18 Sept 2026, 09:1733,554-10
16 Sept 2026, 00:2133,564-5
14 Sept 2026, 04:4233,569-11
12 Sept 2026, 13:2033,580-5
10 Sept 2026, 12:3733,585-15
7 Sept 2026, 09:3633,600-26
4 Sept 2026, 16:5933,626-13
3 Sept 2026, 00:4633,639-4
1 Sept 2026, 22:0433,643-9
31 Aug 2026, 19:4533,652-1
30 Aug 2026, 22:0433,653+4
29 Aug 2026, 21:2733,649+1
28 Aug 2026, 22:5633,648+1
27 Aug 2026, 22:1833,647+6
27 Aug 2026, 01:3833,641-1
26 Aug 2026, 00:4133,642-1
24 Aug 2026, 23:1833,643-5
23 Aug 2026, 07:5933,648-3
21 Aug 2026, 20:4833,651+4
20 Aug 2026, 18:4633,647first reading

Engagement

61 posts held, back to 18 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 77 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
9.62%
avg views ÷ 33,554 subscribers
Avg views / post
3,230
25 posts measured
Reaction rate
0.661%
reactions ÷ views · ER floor
Posts in window
25
of 61 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 21 September 2026
Posts held61 (18 July 202621 September 2026)
Views total80,660
Reactions total533
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken22 Sept 2026, 18:00 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
1,460
Videos
139
Links
892

Lifetime counters from Telegram’s own channel header, read 22 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
21m 36s
Average length
1m 33s

Measured directly from 14 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

1,522 reactions across 59 posts, in 26 distinct kinds. The most used accounts for 31.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥47931.5%
35023.0%
👍23415.4%
😁1328.67%
👎684.47%
💯432.83%
🤣432.83%
💔362.37%
😐332.17%
🤓211.38%
201.31%
🥱100.657%
👌90.591%
🤔60.394%
❤‍🔥50.329%
🙈50.329%
🤝50.329%
👏40.263%
😱40.263%
🥰40.263%
6 further kinds110.723%

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 61 of the 61 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 1,532 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 61 most recent posts we hold, published 18 July 2026 to 21 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
10
across the posts below
Posts paid on
9
of 61 we hold a reading for · 15%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @analyst_club. 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 61 most recent posts we hold for this entry, published 18 July 2026 to 21 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.

Recent posts

21 Sept 2026, 07:51 UTC≈1,530 views24 reactionsread 22 September 2026

Может ли LTV быть метрикой тщеславия? На одном нетворкинге познакомился со Славой. У него хорошо развивается проект в сфере В2С услуг. Он сам сделал CRM систему и даже дашборд. И попросил покритиковать его дашборд. На дашборде много всего и сразу: 16 карточек с КПИ, еще 3 экрана вниз с диаграммами и таблицами. Я спрашиваю: — Где увидеть, с какими показателями хорошо, а где плохо? — Да в целом хорошо у нас все, рас

👍15🔥63

20 Sept 2026, 08:17 UTC≈2,010 views74 reactionsread 22 September 2026

Колоколов уже не тот Я уже задумывался про кризис идентичности в начале года. И снова назрел вопрос: в чем вообще моя экспертиза? В комментариях резонно заметили, что раньше здесь было больше про дашборды, Excel, Power BI и инструменты аналитика. Но меня и тогда интересовали не тонкости DAX и Power Query сами по себе. Меня интересовала аналитика для принятия решений: Как управлять продажами, закупками, персоналом.

🔥39👍1613🎉3💯2👎1

18 Sept 2026, 15:39 UTC≈2,160 views29 reactionsread 22 September 2026

Кризис — это когда невозможно терпеть. Говорят, что кризис в экономике, кризис в ИТ-отрасли, кризис в профессии аналитика... А у кого-то в жизни перманентный кризис. Я решил последовать примеру Вани Замесина и написать пост #ответкризису Не буду вдохновлять вас банальностями, мол кризис это время возможностей. Обычно они оказываются ошибкой выжившего (которую тебе уже бесполезно пытаться повторить). Из личного мн

13👍5🔥4😁3👎2🤣2

17 Sept 2026, 20:09 UTC≈2,540 views3 reactionsread 22 September 2026

Творческий ИИ-коворкинг История началась, когда мы с сыном вайбкодили игры, потом попробовали это со взрослыми в качестве бонуса на ИИ-Акселераторе. Оказалось, такой формат позволят выйти за рамки рабочих задач и найти нестандартные подходы к диалогу с ИИ. В эту субботу проведу в открытом формате. Для каких задач это подойдет ▫️Личный сайт, портфолио ▫️Страница мероприятия (дружеского, семейного) ▫️Поздравление на

👍21

17 Sept 2026, 11:32 UTC≈2,510 views3 reactionsread 22 September 2026
Poll

Какие бизнес-процессы вы хотели бы улучшить или автоматизировать?

  1. Продажи (обработка заявок, КП, анализ воронки,прогноз продаж)21%
  2. Маркетинг (анализ эффективности каналов и окупаемости вложений.)21%
  3. • Работа с клиентами (обработка обращений, ИИ-консультанты, сопровождение)11%
  4. Управление персоналом (отбор резюме, адаптация,14%
  5. Управление запасами и закупками32%
  6. Управление проектами (планирование ресурсов, коммуникации в команде)27%
  7. Исследования и проектирование, техническая документация21%
  8. Управленческая отчетность и стратегия68%

The shares total 215%, 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.

3

17 Sept 2026, 11:29 UTC≈2,300 views6 reactionsread 22 September 2026

Что вы хотите автоматизировать? Наткнулся на рекламу конкурентов, где за один эфир предлагают научить делать с Клод-кодом: - дашборды - парсинг - рилсы Возможно, это и правда топ поисковых запросов, но для меня кажется абсурдом. Я хотел сначала спросить вас, для каких задач вы хотите применять ИИ, но ведь первична задача, а не инструмент. Так что мне важно ваше мнение:

👍3😁3

15 Sept 2026, 15:32 UTC≈2,830 views16 reactionsread 22 September 2026
Video

Как разобраться в архитектуре проекта за 2 минуты Если ты не ИТ-специалист, но никакой ИИ не принесет тебе на блюдечке готовый ИТ-проект. Как ни крути, но понимать архитектуру нужно. Это оказывается самым серьезным барьером при внедрении ИИ в бизнес. Вы, как заказчик, можете хотеть непонятно чего, а нейронка будет вам поддакивать. Или что еще хуже — задавать вам бесконечные технические вопросы, чтобы вы чувствовал

🔥132👍1

14 Sept 2026, 16:12 UTC≈2,840 views19 reactions1 Starread 22 September 2026
Photo

Кейс Ирины Антоновой Я недавно закончила программу по генеративному ИИ в Сколково. Мне она понравилась по широте охвата тем и глубине проработки учебного проекта, но я поняла, что мне не хватает практики именно с моим, а не учебным проектом. У меня уже был собственный рабочий проект, который хотелось не просто обдумывать, а постепенно доводить до результата. Именно поэтому меня зацепил формат акселератора с коворк

🔥123🤔3👍1

12 Sept 2026, 17:22 UTC≈3,120 views12 reactionsread 22 September 2026

Как аналитику стать бизнес-партнером? Вы наверное слышали термин HR Business Partner — это не просто кадровик, а советник руководителя, который помогает решать все вопросы "рабочей силы". У него есть полномочия и к его мнению прислушиваются. Во многих компаниях такое изменение роли HR уже произошло, а вот с аналитикой еще нет. Кого ни спрошу - аналитиков воспринимают как "специалистов по отчетам". Сложным, непонятн

👍102

11 Sept 2026, 06:58 UTC≈3,460 views19 reactionsread 22 September 2026
Photo

Есть сказка про ИИ-единорога. Подключили нейросеть — сотрудники перестали делать рутину. За неделю автоматизировали отдел. ИИ всё понял, всё посчитал — и бизнес начал кратно расти в доходе А есть ИИ-ослик. Тот самый сотрудник, который перепроверяет ответы нейросети, чинит таблицу, в третий раз объясняет коллегам, зачем им новая система, а вечером на всякий случай всё равно выгружает результат в Excel. Господи, за ч

🔥94👍4👎1🥱1

9 Sept 2026, 09:34 UTC≈3,160 views14 reactions1 Starread 22 September 2026

☀️ Как прошло лето в лагере Акселераторе Этим летом мы много работали над ИИ-Акселератором. Я рассчитывал, что это станет масштабной программой на 100 человек, но реклама не удалась. Ну и ладно. Оглядываясь назад, я вижу, какую большую работу проделали и участники, и наши кураторы. В канале Нейро-МВА я просто стал выкладывать кейсы, находки с практики на коворкингах.. Сейчас у нас в акселераторе 30 человек, 15 из

8🔥5🤩1

8 Sept 2026, 20:35 UTC≈3,270 views79 reactionsread 22 September 2026

И что мне дальше делать с ИИ-дашбордами? В конце прошлого года нейронки научились строить дашборды без галлюцинаций. Зимой мы проводили интенсив по ИИ-дашбордам потоками, каждый месяц. А весной тема перестала быть горячей, и мы оставили уроки в записи. Прошло полгода. Появилось много новых возможностей, которые теперь работают стабильно: ИИ-чат с инсайтами, очистка данных, управление метриками... У меня есть желан

🔥61👎6🤝43👌3🤔2

Showing the 12 most recent of 61 posts we hold for @analyst_club. 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

@analyst_club 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
9 August 2026
Most recent edit
23 August 2026

Polls

The 2 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.

17 Sept 2026, 11:32 UTCAnonymous Poll216 voters

Какие бизнес-процессы вы хотели бы улучшить или автоматизировать?

  1. Продажи (обработка заявок, КП, анализ воронки,прогноз продаж)21%
  2. Маркетинг (анализ эффективности каналов и окупаемости вложений.)21%
  3. • Работа с клиентами (обработка обращений, ИИ-консультанты, сопровождение)11%
  4. Управление персоналом (отбор резюме, адаптация,14%
  5. Управление запасами и закупками32%
  6. Управление проектами (планирование ресурсов, коммуникации в команде)27%
  7. Исследования и проектирование, техническая документация21%
  8. Управленческая отчетность и стратегия68%

The shares total 215%, 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.

8 Sept 2026, 09:05 UTCAnonymous Poll396 voters

А вы вообще делаете ИИ дашборды?

  1. Да, вовсю делаю дашборды не хуже ваших22%
  2. Пробую с ИИ, но как у вас не получается18%
  3. Хочу, но руки не доходят, пока в Эксель (PBI и др)39%
  4. Не нужно (не рискую) давать данные ИИ21%

Shares as published. No per-option vote count is published by Telegram, so none is 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 61 most recent posts we hold, published 18 July 2026 to 21 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

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 5 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.

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.

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@datanomika · 2,721
#20
Секреты аналитики | Data Science, BI, Tableau
@analytics_secrets · 47,005
#21
Симулейтив
@simulative_official · 7,435
#22
vizbra
@vizbra · 839
#23
RTD: Ссылки и репосты
@rtdlinks · 572
#24
Analyst IT
@analysis_it · 12,334
#25
LEFT JOIN Insider
@leftjoin_insider · 1,440
#26
Data Driven культура от AW BI
@awbi_ru · 1,736
#27
Мир аналитика данных
@analysts_world · 4,547
#28
Business | System analyst
@ba_and_sa · 17,735
#29
Excel Hacks | Бухгалтерия и Аналитика
@hacks_excel · 284,445
#30
Рациональные числа
@rationalnumbers · 25,686
#31
Коля Валиотти • Дата консалтинг
@datakolya · 810
#32
BApedia | Бизнес-анализ
@ba_wiki · 4,074
#33
Госпожа аналитик 💚 Ия Зотова
@Lady_Analyst · 2,255
#34
Тагир Анализирует
@tagir_analyzes · 11,702
#35
Data Bar | О data-проектах
@data_bar · 2,294
#36
DZENDESIGN
@DenisZdesign · 1,352
#37
Директ-ПРО // Новости Power BI
@pro_powerbi · 937
#38
Excel ⇨ Python ⇨ СУБД ⇨ Power BI
@directprobi · 2,305
#39
Визуализируй это!
@visualize_it · 2,815
#40
Я твой продукт анализировал
@datadeepdive · 1,681
#41
Заметки Аналитика | IT
@notes_analyst · 8,034
#42
Business Intelligence HeadHunter
@biheadhunter · 5,208
#43
Базы данных | Access, SQL, Big Data
@databases_secrets · 30,034
#44
Красивая аналитика | HR | Tech
@whrdata · 18,044
#45
Веб-аналитика от Якова Осипенкова / osipenkov.ru
@clicksider · 5,824
#46
Канал Алексея Куличевского
@kulichevskiy · 3,432
#47
Visiology Official
@visiology_official · 1,934
#48
R4marketing | канал Алексея Селезнёва | Язык R
@R4marketing · 4,137
#49
Системный и Бизнес-анализ
@ba_sa_analytics · 51,700
#50
People Analytics
@People_Analytics · 2,007
#51
Tableau в России
@tableau_ru · 2,357
#52
Первый Продуктовый
@firstanalyticsguide · 12,385
#53
H0H1: про HR-аналитику
@h0h1_hr_analytics · 2,248
#54
Start Career in DS
@start_ds · 11,501
#55
Без aspera
@bezaspera · 73,225
#56
Аналитика. Это просто
@analyticsizzi · 938
#57
Якушев Дмитрий | Про работу в Excel
@DimHelpWithExcel · 11,583
#58
Продакты не нужны
@betternotworse · 28,526
#59
Power BI Design
@Design_PowerBI · 13,743
#60
Диаграммы и презентации
@kirsha_vis · 7,963
#61
Data-comics
@datavizcomics · 6,516
#62
Чартомойка
@chartomojka · 14,867
#63
Инжиниринг Данных
@rockyourdata · 23,767
#64
Data Nature 🕊
@datanature · 6,223
#65
Финансовый анализ в Power BI и Excel
@finalyticspro · 8,046
#66
novichkov.net
@novichkovnet · 3,383
#67
No Data No Growth | Pavel Bukhtik
@nodatanogrowth · 12,773
#68
Сделай это красиво
@perfectgraphs · 5,215
#69
Designing Numbers
@designing_numbers · 5,188
#70
Лаборатория данных
@datalaboratory · 3,101
#71
Анализ данных (Data analysis)
@data_analysis_ml · 50,631
#72
Глеб Михайлов
@mikhaylovgleb · 14,160
#73
Дата-арт
@dataart11 · 2,324
#74
Александр Гинько (автор и переводчик)
@alexanderginko_books · 2,784
#75
Время Валеры
@cryptovalerii · 30,829
#76
Для тех, кто в танке
@pbi_pq_from_tank · 3,702
#77
Dataviz jobs
@dataviz_jobs · 3,775
#78
Системный анализ | Ольга Пономарева
@system_analyse · 31,536
#79
Data Coffee
@datacoffee · 2,631
#80
Крис про аналитику🧠🦾
@kris_the_analyst · 4,453
#81
Data Secrets
@data_secrets · 93,800
#82
Job for Analysts & Data Scientists
@foranalysts · 36,643
#83
КУМБА! Low-code инжиниринг данных
@bi_cumba · 648
#84
Data Science. SQL hub
@sqlhub · 35,969
#85
Excel Everyday
@excel_everyday · 52,365
#86
Визуализация данных в Excel
@excellent_school · 7,333
#87
Weekly Charts
@weekly_charts · 1,408
#88
FineBI в России
@finebi_ru · 944
#89
Библиотека Системного Аналитика
@lib_analyst · 13,957
#90
Dax Pro Solutions
@dax_pro · 2,404
#91
Датавиз в BI • Алиса Ручкина
@finebi_design · 2,220
#92
Базы данных & SQL
@db_in_it · 7,314
#93
Tableau's Viz of the Day
@vizoftheday · 2,225
#94
табличный дизайн
@thisisnotatable · 7,266
#95
Датавизнутая
@dataviz_addict · 1,170
#96

Read from Telegram’s recommendation API, most recently 4 September 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.

Google Таблицы
@google_sheets · 60,505
Telegram ranks this channel #9 of 98 here — alongside 97 others — read 22 August 2026
Секреты аналитики | Data Science, BI, Tableau
@analytics_secrets · 47,005
Telegram ranks this channel #13 of 85 here — alongside 84 others — read 27 August 2026
Магия Excel
@lemur_excel · 49,863
Telegram ranks this channel #13 of 95 here — alongside 94 others — read 25 August 2026
Reveal the Data
@revealthedata · 27,839
Telegram ranks this channel #18 of 96 here — alongside 95 others — read 10 September 2026
ЭКСЕЛЬХАК
@excelhackru · 73,606
Telegram ranks this channel #20 of 87 here — alongside 86 others — read 19 August 2026
Excel Everyday
@excel_everyday · 52,365
Telegram ranks this channel #21 of 97 here — alongside 96 others — read 24 August 2026
настенька и графики
@nastengraph · 28,213
Telegram ranks this channel #28 of 94 here — alongside 93 others — read 9 September 2026
Финансовый анализ
@fin_analytics · 41,153
Telegram ranks this channel #31 of 87 here — alongside 86 others — read 29 August 2026
LEFT JOIN
@leftjoin · 42,064
Telegram ranks this channel #32 of 95 here — alongside 94 others — read 29 August 2026
Системный и Бизнес-анализ
@ba_sa_analytics · 51,700
Telegram ranks this channel #34 of 90 here — alongside 89 others — read 24 August 2026
Управление персоналом | hr, карьера, кадры
@secrets_hr · 21,903
Telegram ranks this channel #38 of 93 here — alongside 92 others — read 22 September 2026
Базы данных | Access, SQL, Big Data
@databases_secrets · 30,034
Telegram ranks this channel #39 of 82 here — alongside 81 others — read 7 September 2026
karpov.courses
@KarpovCourses · 27,430
Telegram ranks this channel #70 of 96 here — alongside 95 others — read 10 September 2026
Инжиниринг Данных
@rockyourdata · 23,767
Telegram ranks this channel #90 of 93 here — alongside 92 others — read 17 September 2026

This channel appears in 14 seed channels' Telegram-generated recommendation lists in total. 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 18 September 2026 — this entry's latest reading, not the date you are reading this.

“Клуб анонимных аналитиков” (@analyst_club), 33,554 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/analyst_club.

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.