Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 20 August 2026 and assigned it the closest of 31 fixed categories, at 99% 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.
Growth
54 measurements spanning 86 days, net +201. 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 43,862–44,357 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 54
Measured (UTC)
Subscribers
Change
31 Oct 2026, 13:09
44,300
+1
30 Oct 2026, 13:45
44,299
+24
29 Oct 2026, 12:36
44,275
-1
28 Oct 2026, 11:37
44,276
+7
27 Oct 2026, 14:40
44,269
+1
26 Oct 2026, 12:45
44,268
-1
25 Oct 2026, 13:44
44,269
-4
24 Oct 2026, 12:04
44,273
+1
23 Oct 2026, 14:46
44,272
+16
22 Oct 2026, 14:36
44,256
+28
21 Oct 2026, 06:57
44,228
-13
20 Oct 2026, 01:40
44,241
-11
18 Oct 2026, 22:15
44,252
-29
17 Oct 2026, 20:45
44,281
-3
16 Oct 2026, 20:36
44,284
-5
15 Oct 2026, 21:46
44,289
+31
14 Oct 2026, 23:06
44,258
+29
13 Oct 2026, 13:28
44,229
+38
9 Oct 2026, 16:57
44,191
+100
5 Oct 2026, 06:14
44,091
first reading
Engagement
87 posts held, back to 10 July 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 175 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
6.06%
avg views ÷ 44,300 subscribers
Avg views / post
2,680
26 posts measured
Reaction rate
0.957%
reactions ÷ views · ER floor
Posts in window
26
of 87 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
Window
Rolling 30 days · latest post in window 31 October 2026
Posts held
87 (10 July 2026 – 31 October 2026)
Views total
69,802
Reactions total
668
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
31 Oct 2026, 12:07 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
Video runtime
2h 06m
Average length
4m 21s
Measured directly from 29 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
2,436 reactions across 87 posts, in 7 distinct kinds. The most used accounts for 53.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,291
53.0%
custom 5390977696501094079
388
15.9%
👍
284
11.7%
custom 5375138582962917570
264
10.8%
custom 5375446892895292647
104
4.27%
🥰
63
2.59%
😁
42
1.72%
Custom emoji. 3 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 87 of the 87 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 2,436 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 87 most recent posts we hold, published 10 July 2026 to 31 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.
Telegram Stars
Stars received
1
across the posts below
Posts paid on
1
of 87 we hold a reading for · 1%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @findir_pro. 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 87 most recent posts we hold for this entry, published 10 July 2026 to 31 October 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.
Коллеги, собрала всё самое важное за октябрь в одном посте ❤️
1️⃣ В этом посте разобрала 5 ошибок при составлении бюджета, из-за которых он остаётся таблицей финансиста, а не инструментом управления. Показала, как перейти от планирования по прошлогоднему факту к драйверам, сценариям, ответственности подразделений и интерактивной модели.
2️⃣ В этом посте собрала три проверки управленческой отчётности, которые регуля…
🎥▫️ Нейросети с нуля: от регистрации до первой рабочей задачи
Коллеги, на связи Софья Бурцева. Я открываю регистрацию на новый практический эфир.
5 ноября в 19:00 МСК вживую покажу весь путь - от регистрации в ChatGPT до отчета по деньгам, дашборда и писем контрагентам.
И все это - без опыта работы с нейросетями и навыков программирования.
Возьмем задачу из жизни финансиста:
проверить исполнение трех договоров, с…
Как пересчитать бюджет на 2027 год, если после закрытия года факт оказался другим?
Бюджет обычно собирают в ноябре, когда данные за конец года неполные. Год закрывается, отдел продаж присылает новый факт, и план нужно пересчитать.
В видео учебный кейс логистической компании: БДР на 2027 год, рассчитанный в Power Query на драйверах.
В новой выгрузке по Воронежу ставка за рейс в октябре снизилась с 42 170 до 38 800 …
Сможете ли вы ответить собственнику на эти пять вопросов?
В прошлом посте с мультиком собственник задавал финансисту вопросы по плану. Но чаще собственники задают вопросы по факту, по фактическим данным, и в абсолютно разных отраслях и нишах эти вопросы звучат одинаково:
🟣Прибыль в отчёте есть, почему на счёте нет денег?
🟣Куда ушли деньги за квартал?
🟣Какое направление приносит прибыль, а какое компания содержит за…
Два финдира готовят бюджет на 2027 год
Уважаемые коллеги!
Я своими руками, с помощью нейросетей Claude и Kling, собрала прикольный мультик про подготовку бюджета.
Представим ситуацию сегодняшнего дня: в компаниях начинается процесс бюджетирования на 2027 год. В мультике показаны две компании с двумя разными подходами к бюджетированию.
Мультик идёт почти три минуты, его можно смотреть на скорости 1,25 или 1,5.
💬 Н…
Бюджет и финансовая модель: в чём разница и как они связаны
Я часто слышу от наших учеников вопрос: финансовая модель это частный случай бюджета или наоборот? В этом посте постараюсь разобрать эту разницу.
Финансовая модель это расчётная схема экономики бизнеса. В ней видно, из каких показателей и по каким формулам складываются выручка, расходы, прибыль и денежный поток. В ней можно менять эти показатели и видеть, …
Как построить бюджет на драйверах, если выручка не зависит от лидов?
На эфире 22 октября я разбирала бюджет на драйверах на примере коммерческого отдела, где выручка считается как
лиды × конверсия × средний чек.
В чате несколько участников спросили: у нас долгосрочные госконтракты, выручка с конверсией не связана, как применить эту методику? В этом посте постараюсь разобрать этотв опрос.
Драйвер это показатель, ко…
Как понять, чего ждать в конце года, если в 1 квартале произошли незапланированные изменения?
Бюджет считают раз в год, факт случается каждый месяц. Сейчас такое время, что уже в следующем месяце факт может очень сильно отличаться от плана.
Для того, чтобы провести параллель между фактом и планом, необходима третья величина - прогноз.
Простыми словами, прогноз - это факт прошедших месяцев плюс план оставшихся, пере…
Разбор причин невыполнения плана: видео о работе с отклонениями
План выручки на первый квартал - 46,8 млн руб., факт - 41,4 млн руб., отклонение - 5,4 млн.
Если план посчитан от суммы прошлого года с коэффициентами, на этом анализ заканчивается: видно, насколько не выполнили, и не видно, почему.
В видео показываю, как тот же план, посчитанный на драйверах, позволяет разложить отклонение января по причинам: лиды, к…
Насколько ваша компания готова работать в условиях неопределённости в 2027 году: тест на десять минут
Насколько успешно компания проходит через изменения внешних обстоятельств, в том числе обусловлено тем, в какой мере она обладает необходимой информацией для принятия решений.
Сейчас я очень часто вижу у компаний острое желание обладать максимальной информацией: иметь и качественное планирование, и качественный учё…
Почему навык бюджетирования сейчас особенно важен
🎙 Записала подкаст о том, почему компаниям всё чаще нужен качественный финансовый план и что мешает бюджету стать реальной точкой опоры для бизнеса.
Внутри коротко разобрала:
🟣почему компании часто не готовы к качественному планированию;
🟣как связаны данные, процессы и навык финансиста;
🟣почему сегодня освоить бюджетирование можно быстрее, чем раньше;
Ставьте 🔝, ес…
❤13custom 53909776965010940798🥰3👍2
Showing the 12 most recent of 87 posts we hold for @findir_pro. 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.
Posts edited after publishing
@findir_pro edited 6 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
19 August 2026
Most recent edit
27 October 2026
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.
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 87 most recent posts we hold, published 10 July 2026 to 31 October 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.
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 16 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.
Named by
Channels on the register whose posts name this channel's handle.
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.
Read from Telegram’s recommendation API, most recently 28 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.
Финансовый директор @financ_director · 20,872 Telegram ranks this channel #4 of 94 here — alongside 93 others — read 25 September 2026
Нескучные Финансы @noboring_finance · 64,900 Telegram ranks this channel #4 of 97 here — alongside 96 others — read 21 August 2026
Финансовый анализ @fin_analytics · 41,676 Telegram ranks this channel #27 of 87 here — alongside 86 others — read 29 August 2026
Налоги для предпринимателей @businessololo · 24,416 Telegram ranks this channel #34 of 94 here — alongside 93 others — read 15 September 2026
Типичный Бухгалтер @typical_buh · 19,884 Telegram ranks this channel #47 of 98 here — alongside 97 others — read 29 September 2026
Светлана Беляева | АФиНА @taxrisk · 25,293 Telegram ranks this channel #53 of 95 here — alongside 94 others — read 14 September 2026
ЭКСЕЛЬХАК @excelhackru · 73,851 Telegram ranks this channel #57 of 87 here — alongside 86 others — read 19 August 2026
Журнал "Главбух" @eglavbukru · 82,490 Telegram ranks this channel #70 of 96 here — alongside 95 others — read 18 August 2026
Google Таблицы @google_sheets · 59,548 Telegram ranks this channel #73 of 98 here — alongside 97 others — read 22 August 2026
Журнал "Упрощёнка" @uproshchenka · 22,756 Telegram ranks this channel #83 of 95 here — alongside 94 others — read 19 September 2026
Система Главбух @sistemaglavbukh · 25,692 Telegram ranks this channel #90 of 95 here — alongside 94 others — read 13 September 2026
Переводчик с бухгалтерского @accwhisper · 50,570 Telegram ranks this channel #93 of 96 here — alongside 95 others — read 25 August 2026
This channel appears in 12 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 31 October 2026 — this
entry's latest reading, not the date you are reading this.
“Финансовый директор | Мастер CFO” (@findir_pro), 44,300 subscribers as measured 31 October 2026. Telegram Register, tgregister.com/channel/findir_pro.
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.