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Channel
@kirillbezikov
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry
19,946subscribers
-62 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001314047661 |
|---|---|
| Type | Channel |
| Username | @kirillbezikov |
| Description | А+ Регистрация в РКН: https://clck.ru/3EiZbi Расскажу как: - автоматизировать бизнес при помощи ИИ - увеличить доходы и сократить расходы, используя ИИ |
| Created | Between 1 March 2018 and 31 August 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 7 November 2026 |
| Measurements held | 58 |
| Confirmed unchanged | 1 time, most recently 7 November 2026 |
| On Telegram | t.me/kirillbezikov |
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 10 September 2026 and assigned it the closest of 31 fixed categories, at 67% 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 |
|---|---|---|
| 7 Nov 2026, 06:19 | 19,946 | -7 |
| 5 Nov 2026, 04:31 | 19,953 | +12 |
| 4 Nov 2026, 00:56 | 19,941 | +10 |
| 2 Nov 2026, 22:49 | 19,931 | -13 |
| 2 Nov 2026, 00:45 | 19,944 | -7 |
| 1 Nov 2026, 01:58 | 19,951 | -1 |
| 30 Oct 2026, 23:36 | 19,952 | -14 |
| 30 Oct 2026, 02:21 | 19,966 | +4 |
| 29 Oct 2026, 03:50 | 19,962 | -11 |
| 28 Oct 2026, 02:18 | 19,973 | +1 |
| 26 Oct 2026, 03:51 | 19,972 | +9 |
| 25 Oct 2026, 02:29 | 19,963 | -3 |
| 24 Oct 2026, 04:25 | 19,966 | -6 |
| 23 Oct 2026, 02:47 | 19,972 | -8 |
| 22 Oct 2026, 02:20 | 19,980 | +4 |
| 20 Oct 2026, 20:17 | 19,976 | +6 |
| 19 Oct 2026, 20:27 | 19,970 | -1 |
| 18 Oct 2026, 20:28 | 19,971 | -4 |
| 17 Oct 2026, 20:09 | 19,975 | +2 |
| 16 Oct 2026, 17:36 | 19,973 | first reading |
80 posts held, back to 25 July 2026 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 68 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.
| Window | Rolling 30 days · latest post in window 6 November 2026 |
|---|---|
| Posts held | 80 (25 July 2026 – 6 November 2026) |
| Views total | 16,868 |
| Reactions total | 201 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 8 Nov 2026, 03:20 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 8 November 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 10 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.
657 reactions across 80 posts, in 9 distinct kinds. The most used accounts for 33.2% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 218 | 33.2% | |
| ❤ | 168 | 25.6% | |
| 👍 | 135 | 20.5% | |
| 😁 | 89 | 13.5% | |
| 🙏 | 18 | 2.74% | |
| 🤣 | 13 | 1.98% | |
| 👏 | 8 | 1.22% | |
| 😱 | 7 | 1.07% | |
| 🤔 | 1 | 0.152% |
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 80 of the 80 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 657 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 80 most recent posts we hold, published 25 July 2026 to 6 November 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @kirillbezikov. 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 80 most recent posts we hold for this entry, published 25 July 2026 to 6 November 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.
Telegram’s own ‘edited’ marker: 3 of 26 posts held from the last 30 days (11.5%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
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Топ-5 репозиториев с GitHub за эту неделю⚡️ Каждую пятницу я собираю для вас подборку полезных инструментов. А 17 ноября покажу, с чем работаю сам: свою ИИ-команду и агентную систему, на прямом эфире 👀 А пока свежая пятёрка: ТЗ, по которому ИИ сам строит проект, ИИ-репетитор по вашим документам, проверка безопасности того, что вы собрали с ИИ, дизайн без нейросетевого вида и пульт управления несколькими ИИ-агентами…
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Не пишите ТЗ сами: пусть ИИ возьмёт у вас интервью⚡️ Нужно ТЗ для дизайнера, разработчика или подрядчика, а вы сидите перед пустым листом? Поменяйтесь ролями: пусть вопросы задаёт ИИ. Он знает только то, что вы ему написали. Поэтому пусть сам выяснит всё, что нужно для хорошего ТЗ. 📌 Промпт Мне нужно техническое задание для [дизайнера / разработчика / подрядчика] на [кратко задача, например: лендинг для курса]. З…
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Отрепетируйте сложный разговор с ИИ до того, как он случится❗️ Клиент торгуется, подрядчик срывает сроки, сотрудник просит прибавку. Такие разговоры обычно идут не по плану, потому что мы к ним не готовимся. А ведь можно потренироваться заранее: ИИ сыграет собеседника, а вы будете отвечать. 📌 Промпт из трёх частей 1️⃣ Ситуация и роль Сыграй роль клиента, который хочет скидку 30% на наши услуги [опишите, что продаё…
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Описали ролик словами, а ИИ сделал всё остальное❓ OpenMontage · 70,7К⭐️ Бесплатная система, которая превращает ИИ-агента в видеопродакшн. Вы описываете ролик, а агент сам ищет информацию, пишет сценарий, находит или генерирует материалы, озвучивает и собирает видео. 📌 Что умеет — готовые сценарии производства: анимированная объяснялка, говорящая голова, нарезка клипов, документальный монтаж, перевод и дубляж — раз…
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Один пост → пять форматов контента⚡️ Написали хороший пост и забыли о нём? Из одного материала можно сделать контент на неделю вперёд для разных площадок. 📌 Промпт для переупаковки Вот мой пост: [вставьте текст] Сделай из него: 1. Карусель на 7 слайдов: заголовок и 1–2 строки текста на каждом слайде 2. Короткий пост для другой соцсети (до 500 символов) 3. Текст для email-рассылки: тема письма, прехедер и сам текст…
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Готовый FAQ и правки для сайта за 10 минут из отзывов клиентов❗️ В отзывах, письмах и вопросах клиентов уже написано, чего не хватает на вашем сайте. Осталось это собрать. И это отличная задача для ИИ. На Reddit владельцы малого бизнеса описывают такой приём так: «Это как младший аналитик, который никогда не спит». 📌 Что выгрузить — отзывы с маркетплейсов, карт, сайта — частые вопросы из переписки с клиентами — жа…
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Коллеги, у кого Claude внезапно попросил пройти верификацию? За последние дни мне прилетело много таких сообщений — решил записать отдельное видео. Рассказываю, откуда взялась «техника Дыня» 🍈 и показываю реальные запросы и переписку. Если столкнулись с такой же проверкой — посмотрите ролик и напишите в комментариях, кому прилетел запрос на верификацию?
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Понедельный дайджест · 26 октября — 1 ноября На прошлой неделе говорили о том, как точнее ставить задачи ИИ, настраивать для него рабочий контекст и представлять сложную информацию. А ещё о проверке идей на реальных данных и инструментах для SEO-аудита. 1️⃣ Сложная задача не повод отказываться от ИИ, но и не повод думать, что будет легко❗️ Когда задача для ИИ затрагивает десятки поставщиков, тысячи товаров и данные…
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Шаблоны ответов на типовые письма за 10 секунд⚡️ Отказ клиенту, перенос встречи, напоминание о дедлайне. Каждый раз пишем одно и то же с нуля и тратим по 10 минут. Один промпт, и у вас готовый набор шаблонов в вашем тоне👇 Ты мой помощник по деловой переписке. Я [кто вы и чем занимаетесь]. Мой стиль общения с клиентами: [например: на «вы», дружелюбно, коротко, без канцелярита]. Составь шаблоны ответов для ситуаций: В…
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Ставьте ИИ цель, а не пошаговые команды❗️ Проверьте свой последний запрос к нейросети. Если в нём пять глаголов подряд «сделай, добавь, убери, перепиши, сократи», то вы микроменеджите модель. Получается как с сотрудником, которому дают десять мелких указаний, но не объясняют, зачем всё это. Делает вроде по пунктам, а результат не тот. 📌 Формула хорошего запроса Контекст + цель + где будет использован результат — к…
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Showing the 12 most recent of 80 posts we hold for @kirillbezikov. 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.
@kirillbezikov edited 1 post 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.
Named by 5 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.
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 29 September 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.
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.
This channel appears in 31 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 7 November 2026 — this entry's latest reading, not the date you are reading this.
“Нейро Ликбезик | Кирилл Безиков” (@kirillbezikov), 19,946 subscribers as measured 7 November 2026. Telegram Register, tgregister.com/channel/kirillbezikov.
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.