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Круги Громова | Data & AI Research

@gromovcircles

On this record: Growth · Engagement · Reactions · Stars · Posts · Polls · Citations · Cite this entry

468subscribers

+6 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1003380342572
TypeChannel
Username@gromovcircles
CreatedBetween 1 November 2025 and 31 March 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live14 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 14 August 2026
On Telegramt.me/gromovcircles

Growth

4624684656 August 2026 — 462 subscribers6 August 2026 — 462 subscribers7 August 2026 — 464 subscribers14 August 2026 — 468 subscribers6 August 202614 August 2026
4 measurements spanning 8 days, net +6. 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 461–469 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
14 Aug 2026, 17:27468+4
7 Aug 2026, 00:32464+2
6 Aug 2026, 19:03462no change
6 Aug 2026, 05:48462first reading

Engagement

18 posts held, back to 27 May 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
42.9%
avg views ÷ 468 subscribers
Avg views / post
201
1 post measured
Reaction rate
3.48%
reactions ÷ views · ER floor
Posts in window
1
of 18 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 29 July 2026
Posts held18 (27 May 202629 July 2026)
Views total201
Reactions total7
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken6 Aug 2026, 19:03 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.

Reaction mix

106 reactions across 16 posts, in 7 distinct kinds. The most used accounts for 36.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥3936.8%
👍3432.1%
2523.6%
54.72%
🆒10.943%
💯10.943%
🤝10.943%

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 16 of the 18 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 106reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 27 May 2026 to 29 July 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
1
across the posts below
Posts paid on
1
of 17 we hold a reading for · 6%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @gromovcircles. 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 18 most recent posts we hold for this entry, published 27 May 2026 to 29 July 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

29 Jul 2026, 13:38 UTC201 views7 reactionsread 6 August 2026
Photo

📆 Где послушать «Круги Громова» в ближайшее время? 🟣Онлайн: ➡️ 30 июля, 11:00-12:30, вебинар – «Каталоги данных и их роль в процессах Data Governance» Управление данными становится одним из ключевых факторов эффективности бизнеса, а каталог данных – важным инструментом для построения зрелой системы Data Governance. В ближайший четверг 30 июля ждем вас на вебинаре компании Arenadata. Обсудим, что включает Data Gove

3👍2🔥2

9 Jul 2026, 10:46 UTC374 viewsread 6 August 2026

Self-service – теперь не только про BI. Согласны? Какие еще тренды заметили в последнее время? Обсуждаем здесь: t.me/gromovcircles_chat

9 Jul 2026, 10:34 UTC330 views5 reactionsread 6 August 2026
Photo

📌 От self-service к управляемой аналитике: 6 трендов, которые меняют работу с данными 1️⃣ Self-service – теперь не только про BI. Эксперты аналитического центра рассматривают self-service не как функцию отдельного инструмента, а как характеристику всей архитектуры работы с данными. Если раньше self-service ассоциировалось преимущественно с возможностью построить график в BI-системе, то сегодня концепция расширяется

3👍2

2 Jul 2026, 10:04 UTC≈3,100 views11 reactionsread 6 August 2026
Photo

⚡️ Вышел Gartner Magic Quadrant for Analytics & BI Platforms 2026 ➡️ Ниже сформулировали ключевые выводы свежего исследования. В этом году исследование Gartner показывает гораздо больше, чем просто изменения позиций отдельных вендоров. Главный вывод: BI-рынок перестает быть рынком инструментов для построения отчетов и дашбордов. Теперь Gartner оценивает не столько качество визуализации, сколько способность платформ

6👍3🔥2

26 Jun 2026, 13:29 UTC509 views5 reactionsread 6 August 2026
Photo

⚡️ Цифровой дайджест: новости аналитики и баз данных Собрали краткий обзор ключевых релизов и обновлений вендоров, июнь 2026 ➡️ Интеллектуальные системы и AI – Axenix добавила новые сценарии для AI-агентов в Numira – Loginom выпустил версию 7.4.1 – улучшил работу Studio, Планировщика и JSON-компонентов и провел круглый стол про ИИ в аналитике – ELMA усилила Cortex: AI-агенты стали безопаснее и умнее ➡️ Бизнес-анал

👍32

26 Jun 2026, 11:07 UTC449 views6 reactionsread 6 August 2026

🎁 Подарки от «Кругов Громова» в честь свежих исследований! Спасибо всем, кто подписался на @gromovcircles! Мы создали этот канал для тех, кому важно, как устроен рынок отечественного ПО. Для тех, кто хочет стать частью ИТ-сообщества вокруг российских data-решений – присоединяйтесь! В честь выхода свежих исследований «Кругов Громова» мы запускаем конкурс среди подписчиков канала. Вас ждут подарки от нашей команды:

3🔥2👍1

23 Jun 2026, 14:52 UTC395 views7 reactionsread 6 August 2026
Photo

✔️ Итоги конференции «Управление бизнес-процессами – 2026» 🏷 17 июня в Москве прошла конференция по управлению бизнесс-процессами от издательства «Открытые системы», где на системном уровне обсудили процессную архитектуру, аналитику и операционный суверенитет. Среди участников – представители ФНС, Мосбиржи, Ростелекома, «Силовых машин», РСХБ и ведущих ИТ-компаний. «Круги Громова» выступили информационным партнером

👍4🔥21

19 Jun 2026, 19:26 UTC421 views8 reactionsread 6 August 2026

⚡️ Запись круглого стола о применении ИИ в аналитике – Loginom Tech 2026 Можно ли доверять ИИ при работе с данными и аналитикой? Где заканчиваются его реальные возможности и начинаются завышенные ожидания? Эти вопросы стали центральными в дискуссии круглого стола «ИИ в аналитике: возможности, ограничения и реальные риски», прошедшего в рамках Loginom Tech 2026. Приглашенные эксперты, в числе которых Сергей Громов,

4👍2💯1🔥1

18 Jun 2026, 09:01 UTC287 views2 reactionsread 6 August 2026
Poll

С какими исследованиями вы уже ознакомились?

  1. 🟣 Self-Service Круг Громова 202665%
  2. 🟣 BI-круг Громова 202565%
  3. 🟣 1С-коннекторы круг Громова 202526%
  4. 🟣 ETL-круг Громова 202550%
  5. 🟣 ESB-круг Громова 202518%
  6. 🟣 ClickHouse в облаке круг Громова 202515%
  7. 🟣 Greenplum в облаке-круг Громова 20259%

The shares total 248%, 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.

👍2

17 Jun 2026, 15:04 UTC301 views4 reactionsread 6 August 2026
Photo

⚡️ Свежая аналитика: что нового вышло на рынке российского ПО в 2025–2026 гг. «Круги Громова» недавно выпустили 7 свежих отчётов – доступных для скачивания: 🟣BI-круг Громова 2025 – крупнейшее в России исследование с детальным сравнением BI-решений по 600+ критериям: от архитектуры, производительности и функциональных возможностей до практической применимости в бизнес- и отраслевых сценариях. 🟣1С-коннекторы круг Гр

🔥31

17 Jun 2026, 13:40 UTC216 views7 reactionsread 6 August 2026
Photo

🔥 Рады приветствовать всех вступивших! Друзья, добро пожаловать в @gromovcircles – канал аналитического центра «Круги Громова»! Тот самый русский Gartner. Это канал для тех, кому важно разобраться в многообразии российских data-решений и понять, какие из них действительно работают в проектах. Кратко про навигацию в канале: #исследование_КругиГромова – детальные сравнения ПО, #инсайты_КругиГромова – инсайты, выводы

🔥4👍2🤝1

Showing the 12 most recent of 18 posts we hold for @gromovcircles. 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.

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.

18 Jun 2026, 09:01 UTCAnonymous Poll34 voters

С какими исследованиями вы уже ознакомились?

  1. 🟣 Self-Service Круг Громова 202665%
  2. 🟣 BI-круг Громова 202565%
  3. 🟣 1С-коннекторы круг Громова 202526%
  4. 🟣 ETL-круг Громова 202550%
  5. 🟣 ESB-круг Громова 202518%
  6. 🟣 ClickHouse в облаке круг Громова 202515%
  7. 🟣 Greenplum в облаке-круг Громова 20259%

The shares total 248%, 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 18 most recent posts we hold, published 27 May 2026 to 29 July 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.

Citation-graph rank

Citation-graph rank — 55,269 of 1,481,217entries 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.

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 10 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.

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

“Круги Громова | Data & AI Research” (@gromovcircles), 468 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/gromovcircles.

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.