По итогам конференции собрал самый сок и самую выжимку из всего, что говорили и показывали спикеры. Обязательно изучите, если размышляете над цифровизацией бизнеса.
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Channel
@archfinance
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Cite this entry
7,770subscribers
+980 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001315936363 |
|---|---|
| Type | Channel |
| Username | @archfinance |
| Description | 📊💡 Открываю новые горизонты в финансах и стратегиях. ✈️🌍 Делюсь вдохновляющими историями о путешествиях. 🤖🔍 Исследую будущее с роботами и автоматизацией. 💼🛠️ Создаю стратегии для успешного бизнеса. 📈💡 Вдохновляю на инновации и изменения. |
| Created | Between 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 1 November 2026 |
| Measurements held | 24 |
| Confirmed unchanged | 1 time, most recently 1 November 2026 |
| On Telegram | t.me/archfinance |
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 12 September 2026 and assigned it the closest of 31 fixed categories, at 92% 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 the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 1 Nov 2026, 10:19 | 7,770 | -13 |
| 29 Oct 2026, 00:20 | 7,783 | -20 |
| 26 Oct 2026, 02:11 | 7,803 | -18 |
| 22 Oct 2026, 22:55 | 7,821 | +80 |
| 19 Oct 2026, 15:56 | 7,741 | +42 |
| 17 Oct 2026, 01:50 | 7,699 | +25 |
| 14 Oct 2026, 11:19 | 7,674 | +95 |
| 10 Oct 2026, 15:00 | 7,579 | +108 |
| 4 Oct 2026, 21:36 | 7,471 | +139 |
| 25 Sept 2026, 19:57 | 7,332 | +112 |
| 17 Sept 2026, 01:39 | 7,220 | +48 |
| 12 Sept 2026, 18:17 | 7,172 | +13 |
| 8 Sept 2026, 23:36 | 7,159 | +92 |
| 3 Sept 2026, 07:06 | 7,067 | +67 |
| 30 Aug 2026, 21:36 | 7,000 | -15 |
| 28 Aug 2026, 03:42 | 7,015 | +40 |
| 25 Aug 2026, 14:14 | 6,975 | +47 |
| 22 Aug 2026, 22:35 | 6,928 | +1 |
| 19 Aug 2026, 14:04 | 6,927 | +60 |
| 16 Aug 2026, 20:03 | 6,867 | first reading |
42 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 12 pages of Telegram’s post history, 20 posts per page.
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. It is computed over the 8 of 10 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 30 October 2026 |
|---|---|
| Posts held | 42 (3 August 2026 – 30 October 2026) |
| Views total | 4,910 |
| Reactions total | 30 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Nov 2026, 23:51 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.
Lifetime counters from Telegram’s own channel header, read 3 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Measured directly from 4 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.
50 reactions across 17 posts, in 5 distinct kinds. The most used accounts for 38.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 19 | 38.0% | |
| 👍 | 18 | 36.0% | |
| 🔥 | 11 | 22.0% | |
| 🖕 | 1 | 2.00% | |
| 😁 | 1 | 2.00% |
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 20 of the 42 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 50 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 42 most recent posts we hold, published 3 August 2026 to 30 October 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.
По итогам конференции собрал самый сок и самую выжимку из всего, что говорили и показывали спикеры. Обязательно изучите, если размышляете над цифровизацией бизнеса.
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Сегодня на конференции «Digital трансформация бизнеса» провёл мастер-класс: собирали своего ИИ-агента для финансового контроля. Взяли вполне рабочую задачу: проверить исходные таблицы, посчитать план-факт, разобраться с отклонениями и подготовить короткую записку руководителю. Прошли весь путь: от первого запроса в чат до инструкции и скрипта, которые можно сохранить и использовать повторно. Настроили на данных сен…
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Бизнес-архитектор: Финансы, Путешествия и Роботы pinned «А ещё- сегодня выступаю на форуме финансовых директоров. И, по обычаю, выкладываю материалы и презентацию для самостоятельного изучения- https://hr-s.ru/workshops/fd-forum-2026-10-23/ Сегодня про то, как с помощью ИИ синхронизировать между собой регламенты.»
А ещё- сегодня выступаю на форуме финансовых директоров. И, по обычаю, выкладываю материалы и презентацию для самостоятельного изучения- https://hr-s.ru/workshops/fd-forum-2026-10-23/ Сегодня про то, как с помощью ИИ синхронизировать между собой регламенты.
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А это небольшая обьясняшка, которую создал, чтобы наглядно показать как же успешно внедрять Ии в работу. Главный тезис- сначала завал и ощущение срочности, а только потом дать инструмент. В обратном порядке не работает- просто дать инструменты и не создать потребность приведёт просто к пустой трате денег компании и отсутствию повышения эффективности компании в целом.
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ИИ повысил спрос на мечтателей. Раньше постоянно слышал: «Вот было бы время — я бы точно сделал!» Сегодня ИИ помогает разбирать документы, писать тексты, собирать приложения и убирать рутину. Высвобождает часы. Сокращает путь от идеи до первой работающей версии. И тут всё чаще возникает другой вопрос: «А что именно я хочу сделать?» Что автоматизировать? Как помочь себе? Какой инструмент собрать, если теперь можно…
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Showing the 12 most recent of 42 posts we hold for @archfinance. 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.
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 1 November 2026 — this entry's latest reading, not the date you are reading this.
“Бизнес-архитектор: Финансы, Путешествия и Роботы” (@archfinance), 7,770 subscribers as measured 1 November 2026. Telegram Register, tgregister.com/channel/archfinance.
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.