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Channel

Финансовая кухня

@financekitchen

On this record: Topic · Growth · Engagement · Reactions · Stars · Posts · Citations · Telegram's recommendations · Cite this entry

2,678subscribers

+44 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001804184823
TypeChannel
Username@financekitchen
CreatedBetween 1 October 2022 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live28 September 2026
Measurements held16
Confirmed unchanged1 time, most recently 28 September 2026
On Telegramt.me/financekitchen

Topic

Education — 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 15 September 2026 and assigned it the closest of 31 fixed categories, at 55% 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

2,6342,6782,6566 August 2026 — 2,634 subscribers6 August 2026 — 2,634 subscribers7 August 2026 — 2,635 subscribers10 August 2026 — 2,639 subscribers14 August 2026 — 2,651 subscribers17 August 2026 — 2,647 subscribers20 August 2026 — 2,650 subscribers23 August 2026 — 2,655 subscribers27 August 2026 — 2,663 subscribers29 August 2026 — 2,664 subscribers1 September 2026 — 2,665 subscribers6 September 2026 — 2,664 subscribers11 September 2026 — 2,661 subscribers15 September 2026 — 2,656 subscribers19 September 2026 — 2,661 subscribers28 September 2026 — 2,678 subscribers6 August 202628 September 2026
16 measurements spanning 53 days, net +44. 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 2,627–2,685 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
28 Sept 2026, 21:412,678+17
19 Sept 2026, 07:182,661+5
15 Sept 2026, 02:202,656-5
11 Sept 2026, 03:182,661-3
6 Sept 2026, 05:412,664-1
1 Sept 2026, 20:182,665+1
29 Aug 2026, 21:472,664+1
27 Aug 2026, 05:132,663+8
23 Aug 2026, 22:152,655+5
20 Aug 2026, 11:442,650+3
17 Aug 2026, 19:152,647-4
14 Aug 2026, 12:462,651+12
10 Aug 2026, 18:122,639+4
7 Aug 2026, 14:132,635+1
6 Aug 2026, 20:152,634no change
6 Aug 2026, 20:052,634first reading

Engagement

20 posts held, back to 22 June 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 2 pages of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

426 reactions across 19 posts, in 8 distinct kinds. The most used accounts for 38.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥16238.0%
👍10223.9%
😁7818.3%
❤7016.4%
💯92.11%
✍20.469%
🙏20.469%
😢10.235%

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 19 of the 20 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 426 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 22 June 2026 to 7 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Telegram Stars

Stars received
2
across the posts below
Posts paid on
2
of 20 we hold a reading for · 10%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @financekitchen. 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 20 most recent posts we hold for this entry, published 22 June 2026 to 7 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

7 Aug 2026, 05:23 UTC300 views11 reactionsread 7 August 2026
Photo

Вы точно боитесь, что ИИ нас всех заменит??? Эти прекрасные документы продаются на Озоне, в ассортименте.

😁11

6 Aug 2026, 04:50 UTC414 views68 reactionsread 7 August 2026

Есть слова, от которых у меня натурально начинается лёгкая тошнота Интенсив, марафон, вебинар, гайд, челлендж, мотивация, лид-магнит, мастермайнд ☠️ Прямо сейчас могла бы продать курс «20 пунктов, без которых ни один CFO не проживёт» Но нет, такого тут не будет и не планируется. Кейсы с цифрами тоже обещать не буду. В консалтинге большая часть клиентов вообще не хотела, чтобы кто-то узнал, что им вообще кто-то по…

🔥67❤1

3 Aug 2026, 16:40 UTC563 viewsread 7 August 2026
Photo

Коллеги, добрый день! 🔥 Мы подготовили для вас папку с каналами по темам HR, управления проектами, персоналом, а также советами для карьерного роста! 👉 Добавляйте каналы в одно нажатие! 💬 В подборке аналитика, практические кейсы, обзоры инструментов и материалы, которые будут полезны топ-менеджерам, руководителям направлений, специалистам, работающим с ОЦО и HR, и всем, кого интересует движение по карьерной лестн…

3 Aug 2026, 11:20 UTC535 views9 reactionsread 7 August 2026
Photo

Про извечную борьбу финансов и бизнеса . О том как важен баланс правильного контроля и свободы зарабатывать деньги

🔥7👍2

31 Jul 2026, 05:55 UTC831 views38 reactionsread 7 August 2026
Photo

Если Ваши коллеги попросили объяснить цифры

😁30🔥5👍2😢1

29 Jul 2026, 19:51 UTC703 views8 reactionsread 7 August 2026

я работала в Big4, и там концепция материальности и проверка источников — это база, которую вбивают на первом же проекте. Поэтому новость зацепила лично. Если топ-консалтинг экономит на ревью уровня "прочитать сноску" …

❤8

29 Jul 2026, 19:51 UTC751 views17 reactionsread 7 August 2026
Forwarded from @cb_economics

Financial Times изучила финансовые отчеты PwC за два года - и нашла в них прорву бреда от ИИ. В одном из случаев, как источник для проекта JPMorgan, ИИ записал блог школьника на 280 подписчиков. В другом - сослался на несуществующее исследование качества воздуха в Эр-Рияде, выдуманное ИИ. В третьем - прямо в сноске указано что источник chatgpt.com.

😁7❤6🔥4

27 Jul 2026, 14:30 UTC796 views13 reactionsread 7 August 2026
Photo

Исследование 6000 команд: что отличает супер команды 🧠 Руководитель активно вовлечен в работу, глубоко разбирается в теме и сам добавляет ценности работы. 📍 Часто проводят эксперименты. О чем я всегда и говорю, чем больше гипотез протестируем, тем быстрее найдем рабочую. 📍 Руководители таких команд регулярно дают обратную связь, в том числе положительную. С этим увы часто проблема.

👍12💯1

23 Jul 2026, 04:15 UTC873 views13 reactionsread 7 August 2026

CFO финансирует следующую волну AI из денег, которых нет Bain опубликовали данные, с очень странной для меня логикой: 44% компаний планируют вложения в AI из сэкономленных средств предыдущей волны автоматизации. Проблема в отчете в том, что предыдущая волна не достигла 100% целей автоматизации (как обычно и бывает). Далее CFO компаний не измеряли фактический эффект прошлой волны автоматизации. Видимо предполагали,…

🔥6❤5💯2

21 Jul 2026, 04:45 UTC846 views24 reactionsread 7 August 2026

Неочевидный минус data driven подходов. McKinsey в исследованиях decision-making 2024–2025 фиксирует неочевидное: у людей с высоким уровнем мышления проблема не в качестве анализа. Проблема в том, что они не могут остановить анализ. Последние 10 лет компании активно инвестировали в data-driven decision making. Логика понятна: больше данных — лучше решения. На практике получили другое: данных стало так много, что ре…

🔥14👍8❤2

15 Jul 2026, 05:11 UTC≈1,160 views32 reactions1 Starread 7 August 2026

Пришло время HARD целей SMART уже завяз в зубах. И почти везде я вижу технически правильные цели. Для руководителей такие цели понятны, но не имеют эмоциональной окраски, поэтому не очень мотивируют. Именно здесь работает HARD-фреймворк Марка Мёрфи. Четыре параметра, которые проверяют цель по существу: 📍 Heartfelt — она лично значима. Не «компания хочет», а Вы хотите. Устойчивая мотивация возникает только там, г…

👍21🔥6❤3🙏2

14 Jul 2026, 16:59 UTC895 views12 reactionsread 7 August 2026

☠️ «Все данные есть, разберёмся» — данные без интерпретации это просто хранилище. Управленческое решение начинается там, где появляется вопрос «почему», а не «сколько».

🔥8❤2👍2

Showing the 12 most recent of 20 posts we hold for @financekitchen. 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.

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 2 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.

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.

Финансовый директор | Мастер CFO
@findir_pro · 44,090
Telegram ranks this channel #48 of 94 here — alongside 93 others — read 28 August 2026
Финансовый директор
@financ_director · 20,940
Telegram ranks this channel #69 of 94 here — alongside 93 others — read 25 September 2026

This channel appears in 2 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 28 September 2026 — this entry's latest reading, not the date you are reading this.

“Финансовая кухня” (@financekitchen), 2,678 subscribers as measured 28 September 2026. Telegram Register, tgregister.com/channel/financekitchen.

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.