Channel
@buh1c
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
8,689subscribers
-18 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001055872581 |
|---|---|
| Type | Channel |
| Username | @buh1c |
| Description | Новые видео по 1С Бухгалтерия 8 и другая информация по бухгалтерии и 1С Обучающие курсы, программы 1С Нейросети для бухгалтера По всем вопросам @dina_krasnova |
| Created | Between 1 June 2016 and 30 November 2016— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 11 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 11 August 2026 |
| On Telegram | t.me/buh1c |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Aug 2026, 17:02 | 8,689 | -15 |
| 8 Aug 2026, 06:27 | 8,704 | -3 |
| 7 Aug 2026, 20:30 | 8,707 | no change |
| 7 Aug 2026, 20:29 | 8,707 | first reading |
22 posts held, back to 28 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 12 pagesof 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 20 of 22 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 12 August 2026 |
|---|---|
| Posts held | 22 (28 July 2026 – 12 August 2026) |
| Views total | 8,458 |
| Reactions total | 76 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 16:05 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 12 August 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.
Measured directly from 5 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.
76 reactions across 20 posts, in 3 distinct kinds. The most used accounts for 50.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 38 | 50.0% | |
| 👍 | 37 | 48.7% | |
| 🔥 | 1 | 1.32% |
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 22 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 76reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 22 most recent posts we hold, published 28 July 2026 to 12 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.
📊 Если вы работаете с финансами, планированием, отчётностью, кассой и налогами, то, наверняка знаете: информации много, но найти действительно полезные и практичные каналы — задача не из лёгких. Поэтому мы собрали папку по финансам для бизнеса, где только профильные, рабочие каналы. Внутри: — изменения законодательства и разборы нововведений — практические кейсы из реальной работы бизнеса — отчётность, ЕНС, НДС, …
🔥1
Как сформировать оборотку по счету 69 с субсчетами в 1С Бухгалтерия 8
❤2👍2
https://dinakrasnova.ru/aitrenajer 📌Сделала новый формат по нейросетям для бухгалтеров Не курс. Не уроки. А тренажёр, где вы реально начинаете пользоваться нейросетями в работе. Старт — 17 августа https://dinakrasnova.ru/aitrenajer Как всё устроено: Каждый день открывается одно задание Вы его выполняете → отправляете → получаете обратную связь И только потом идёте дальше Что будет внутри: — научитесь делать нор…
❤2👍1
Универсальный отчет в 1С Бухгалтерия 8 и нейросети: как быстрее подбирать настройки под задачу. Используем нейросеть Deepseek
👍8❤1
🤖 Какие задачи бухгалтер может передать нейросетям уже сейчас? Нейросети не заменяют бухгалтера — но могут стать помощником, который берёт на себя часть рутинных задач. Это особенно ценно в периоды отчётности, при большом количестве запросов от клиентов и постоянной работе с документами. 💡Что можно поручить нейросети: 1️⃣Составить понятное письмо клиенту, контрагенту или налоговому органу: запросить документы, нап…
👍2❤1
Чек лист "Оборотная ведомость по счету 69 с примерами" Ставьте ❤️ и делитесь с коллегами #полезное1С #1С #1сбухгалтерия #налоги #1сбухгалтериякурсы #1сбухгалтерия3 #бухгалтерия #бухгалтер #видео1с #обучениебухгалтеров #бухучет
❤8👍1
📌Как я использую нейросети в своей онлайн‑школе За пару лет нейросети стали для меня обычным рабочим инструментом, а не «игрушкой». Вот что они помогают делать: создавать идеи и тексты для статей, видео, рилз и постов, а также обложки и картинки; собирать структуру курсов, придумывать задания и упрощать сложные темы; накидывать идеи для новых продуктов, клубов и мини‑курсов; аккуратно помогать с материалами по 1…
👍2❤1
📌Как в "1С:Бухгалтерии 8" провести взаимозачет? В программе "1С:Бухгалтерия 8" для отражения операции по зачету взаимных требований используется документ "Корректировка долга" (см. картинку): 1️⃣Раздел: Продажи – Корректировка долга (или раздел: Покупки – Корректировка долга). 2️⃣Кнопка "Создать", в поле "Вид операции" выберите "Зачет задолженности". 3️⃣В поле "Зачесть задолженность" выберите "Поставщику", если з…
❤1👍1
Photo, posted without a caption
👍2
Как сформировать оборотку по счету 68 с субсчетами в 1С Бухгалтерия 8
❤5👍1
📌Даю вам маленькое практическое упражнение с нейросетью для бухгалтера. Задача: подготовить письмо клиенту. Например: – напомнить о недостающих документах – объяснить, зачем нужна определённая операция или справка 💡Как сделать: Откройте любую нейросеть, к которой у вас есть доступ. Скопируйте и адаптируйте под себя такой запрос: «Ты — бухгалтер. Помоги подготовить вежливое и понятное письмо клиенту. Ситуация: [о…
❤4👍1
Взносы ИП при УСН доходы минус расходы в 1С Бухгалтерия 8
👍2❤1
Showing the 12 most recent of 22 posts we hold for @buh1c. 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.
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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
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 11 August 2026 — this entry's latest reading, not the date you are reading this.
“Профбух 1С (Дина Краснова)” (@buh1c), 8,689 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/buh1c.
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.