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Telegram profile photo for Николай Хлебинский

Channel

Николай Хлебинский

@nikolay_khl

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

23,400subscribers

+2,193 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001548049330
TypeChannel
Username@nikolay_khl
CreatedBetween 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live2 November 2026
Measurements held60
Confirmed unchanged1 time, most recently 2 November 2026
On Telegramt.me/nikolay_khl

Topic

Technology — a classification, not a measurement. 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

21,20623,40022,3036 August 2026 — 21,207 subscribers6 August 2026 — 21,207 subscribers6 August 2026 — 21,206 subscribers7 August 2026 — 21,207 subscribers8 August 2026 — 21,210 subscribers9 August 2026 — 21,279 subscribers10 August 2026 — 21,312 subscribers11 August 2026 — 21,345 subscribers12 August 2026 — 21,365 subscribers13 August 2026 — 21,386 subscribers14 August 2026 — 21,436 subscribers16 August 2026 — 21,452 subscribers17 August 2026 — 21,462 subscribers18 August 2026 — 21,477 subscribers19 August 2026 — 21,487 subscribers20 August 2026 — 21,491 subscribers21 August 2026 — 21,488 subscribers22 August 2026 — 21,504 subscribers24 August 2026 — 21,542 subscribers25 August 2026 — 21,558 subscribers26 August 2026 — 21,556 subscribers27 August 2026 — 21,566 subscribers28 August 2026 — 21,539 subscribers29 August 2026 — 21,540 subscribers30 August 2026 — 21,553 subscribers31 August 2026 — 21,549 subscribers1 September 2026 — 21,616 subscribers2 September 2026 — 21,727 subscribers3 September 2026 — 21,766 subscribers5 September 2026 — 21,768 subscribers8 September 2026 — 21,788 subscribers11 September 2026 — 21,765 subscribers13 September 2026 — 21,760 subscribers14 September 2026 — 21,764 subscribers16 September 2026 — 21,834 subscribers18 September 2026 — 21,850 subscribers25 September 2026 — 21,916 subscribers3 October 2026 — 22,769 subscribers8 October 2026 — 23,311 subscribers12 October 2026 — 23,262 subscribers14 October 2026 — 23,236 subscribers15 October 2026 — 23,217 subscribers16 October 2026 — 23,188 subscribers17 October 2026 — 23,200 subscribers18 October 2026 — 23,210 subscribers19 October 2026 — 23,192 subscribers20 October 2026 — 23,200 subscribers21 October 2026 — 23,198 subscribers22 October 2026 — 23,204 subscribers23 October 2026 — 23,202 subscribers25 October 2026 — 23,221 subscribers26 October 2026 — 23,241 subscribers26 October 2026 — 23,262 subscribers27 October 2026 — 23,272 subscribers28 October 2026 — 23,273 subscribers29 October 2026 — 23,283 subscribers30 October 2026 — 23,291 subscribers31 October 2026 — 23,340 subscribers1 November 2026 — 23,381 subscribers2 November 2026 — 23,400 subscribers6 August 20262 November 2026
60 measurements spanning 89 days, net +2,193. 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 20,877–23,729 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 60
Measured (UTC)SubscribersChange
2 Nov 2026, 17:1923,400+19
1 Nov 2026, 18:3123,381+41
31 Oct 2026, 20:4723,340+49
30 Oct 2026, 20:4523,291+8
29 Oct 2026, 19:3923,283+10
28 Oct 2026, 18:0123,273+1
27 Oct 2026, 20:4923,272+10
26 Oct 2026, 23:0623,262+21
26 Oct 2026, 02:0723,241+20
25 Oct 2026, 02:4823,221+19
23 Oct 2026, 23:4423,202-2
22 Oct 2026, 22:3723,204+6
21 Oct 2026, 23:3023,198-2
20 Oct 2026, 15:0623,200+8
19 Oct 2026, 12:3923,192-18
18 Oct 2026, 10:3623,210+10
17 Oct 2026, 13:5623,200+12
16 Oct 2026, 14:1423,188-29
15 Oct 2026, 11:1423,217-19
14 Oct 2026, 08:5523,236first reading

Engagement

65 posts held, back to 4 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 88 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
28.9%
avg views ÷ 23,400 subscribers
Avg views / post
6,770
14 posts measured
Reaction rate
1.44%
reactions ÷ views · ER floor
Posts in window
14
of 65 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
WindowRolling 30 days · latest post in window 27 October 2026
Posts held65 (4 July 2026 – 27 October 2026)
Views total94,840
Reactions total1,369
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Oct 2026, 09:57 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.

Reaction mix

5,710 reactions across 65 posts, in 11 distinct kinds. The most used accounts for 36.0% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥2,05536.0%
👍1,42424.9%
❤1,31923.1%
😁57410.1%
😱861.51%
😢821.44%
🤔711.24%
👏480.841%
🤯380.665%
🥰80.14%
🤩50.088%

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 65 of the 65 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 5,710 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 65 most recent posts we hold, published 4 July 2026 to 27 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
39
across the posts below
Posts paid on
24
of 65 we hold a reading for · 37%
Most on one post
5
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @nikolay_khl. 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 65 most recent posts we hold for this entry, published 4 July 2026 to 27 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.

Recent posts

27 Oct 2026, 19:49 UTC≈2,950 views309 reactionsread 28 October 2026

Пользователь под ником log4j выложил в X письмо от OpenAI. Его аккаунт деактивировали за нарушение правил в категории "Cyber Abuse" (кибер-злоупотребления), и больше о причине ни слова. По его словам, уязвимости через OpenAI он не искал, только локально разбирал программы, чтобы понять, как они устроены (в том числе получил полный доступ к управлению ПО своего телевизора). В те же дни по соц сетям разошлось, что за …

🔥295❤11🤔2👍1

24 Oct 2026, 10:38 UTC≈5,440 views35 reactions2 Starsread 28 October 2026
Photo

Протестировал топовые китайские нейронки. Мягко говоря в шоке 😯 посмотрите сами, на что они сегодня способны без проблем с оплатами, банами и VPN: https://youtu.be/dneuk_qnt00 P.S.: Все материалы из ролика лежат на github.

🔥25👍8❤2

20 Oct 2026, 09:46 UTC≈8,280 views85 reactionsread 28 October 2026

Запускаем флешмоб в комментариях! Вставляйте в ваш ChatGPT вот такой промпт: Based on everything you know about me, roast and don't hold back. Say it in Russian slang Just like this, but add way more Russian swear words И вставляем в комментарии самый крутой абзац!

😁40🔥28❤8👍4👏3🤯1🥰1

19 Oct 2026, 12:44 UTC≈7,240 views41 reactions1 Starread 28 October 2026

Много уважаемых людей произносит много громких фраз с больших сцен, про то, как нас всех скоро заменят и уволят. Вышел один из самых уважаемых ежегодных отчетов о ИИ – State of AI Report 2026. Отчет публикуется уже в девятый раз, в текущей версии 244 страницы, самая интересная часть в каждом – прогнозы про ИИ на год и анализ того, какие из прошлых прогнозов сбылись, а какие нет. Из прошлогоднего отчета полностью сбыл…

👍19❤16🔥6

18 Oct 2026, 15:04 UTC≈5,680 views24 reactions1 Starread 28 October 2026
Photo

Протестировал Opus 5.5 на всех уровнях глубины рассуждений. Вывод получился очень неожиданный для меня, посмотрите сами: https://www.youtube.com/watch?v=LXfH7KbK8aI P.S.: в первом комментарии к посту положу ссылки на все версии получившейся игры на каждом уровне глубины рассуждения!

👍23❤1

16 Oct 2026, 08:24 UTC≈6,940 views77 reactions2 Starsread 28 October 2026

Кто теперь будет делать новый софт и игры? На этой неделе первое место в недельном рейтинге GitHub занял проект REA (Reverse Engineer Anything). Это набор, который дает ИИ-агенту вроде Claude Code или Codex доступ к инструментам, которыми любые программы разбираются на части, чтобы понять, как они устроены внутри. По счетчику GitHub у него 259 тысяч звезд, большая часть получена за одну неделю (подлинность такого те…

👍38❤10🔥9😱9🤯8🤔3

15 Oct 2026, 16:39 UTC≈5,800 views50 reactionsread 28 October 2026
Photo

У меня есть образовательный проект "Код управления", периодически пишу тут про него. Я беру одну группу в год и в течение двух месяцев полностью передаю готовую систему найма команды "А" и процессы регулярного менеджмента. В этом году у нас добавился трек по ИИ, отдельно каждую неделю обсуждаем как сделать кратно больше ценности управленцу в поле взаимодействия с подчиенными с помощью языковых моделей. А сегодня у…

👍26❤13🔥9🤔2

14 Oct 2026, 11:05 UTC≈5,920 views35 reactionsread 28 October 2026

Друзья, мои блоги быстро растут и я очень хочу, чтобы они приносили еще больше пользы подписчикам. Ищу для своих медиа стратегических партнеров по: – выпуску иностранных банковских карт и eSim для граждан РФ с возможностью принимать SMS; – провайдеров VPS; – разрабочтиков harness. От моих подписчиков очень много запросов на такие сервисы и я бы хотел иметь возможность самостоятельно использовать их в своих видео и…

❤16👍10🔥9

13 Oct 2026, 12:03 UTC≈6,630 views58 reactionsread 28 October 2026

Примерно 1-2 млрд человек (~20% населения планеты) - случайные и нечастые пользователи бесплатного ChatGPT и похожих продуктов. Эти люди видят ИИ чат-ботов в браузере и относятся к ним как к улучшенной версии Гугла. Иногда попробуют подобрать себе авиабилеты подешевле. Примерно 20 млн человек (0,2% населения) профессионально используют передовые LLM в математике, коде и работе над повседневными задачами. Они видят с…

❤27👍15🤔10🤯4🔥2

12 Oct 2026, 10:35 UTC≈5,720 views27 reactionsread 28 October 2026
Photo

Только для предпринимателей 🔒 У каждого из нас есть накопленная динамика бизнеса. Мы все очень заняты и много работаем, но решений, которые по-настоящему повлияли на эту динамику за последние 12 месяцев, было совсем немного. Если продолжать действовать так же, как сейчас, динамика будет та же. Свои слепые зоны изнутри не видны, а в операционке ресурса на стратегию не остается. Если бы ответ на вопрос "что в бизнесе …

❤15🔥9👍3

9 Oct 2026, 08:58 UTC≈7,230 views71 reactionsread 28 October 2026

Про ИИ и задачи с высоким риском Есть такой класс задач для ИИ – интерпретаци медицинских анализов, назначение лечения, инвестиционные решения, юридические вопросы – где стоимость ошибки очень высокая. Нашел интересный эксперимент на эту тему. Лондонский финтех стартап Saturn (делает ИИ-платформу для финансовых консультантов) прогнал через 18 самых популярных ИИ больше сотни вопросов из мира финансов: про долги, ип…

👍40❤20🔥11

8 Oct 2026, 18:11 UTC≈7,850 views58 reactionsread 28 October 2026
Photo

Claude сливает ваши данные правительству США и ЦРУ Только что дал десктопному приложению ChatGPT задачу проанализировать бинарники Клода вот таким простым промптом: "Find .gov domain strings in bundled Claude Code binaries". Результат на скриншоте, можете повторить у себя 🫠 P.S.: Доказательств скрытой передачи в проведенной проверке нет. При этом гарантировать ее отсутствие тоже не получится :)

👍23🤯16❤11😁4🔥3😢1

Showing the 12 most recent of 65 posts we hold for @nikolay_khl. 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

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 10 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.

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.

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@kimtatyana2024 · 87,349
#76
Kumar & Solo
@solokumi · 40,289
#77
Mindbox Журнал
@helpfulmarketing · 6,545
#78
Молянов
@molyanov_blog · 31,078
#79
Блог Громова Олега (ранее Extyl о digital)
@digital_extyl · 3,092
#80
PIM Solutions для Ecom
@pim_blog · 2,505
#81
Поток Замесина
@zamesin_flow · 8,465
#82
Тёмная сторона / Темнографика
@temno · 79,236
#83
Брендбустер - D2C-бренды, развиваем, инвестируем, покупаем
@brandboosterDTC · 842
#84
Любивая Оксана
@lyubivayaoksana2022 · 996
#85
GPT/ChatGPT/AI Central Александра Горного
@aioftheday · 44,503
#86
✨ Офелия Шафир ✨
@ShafirOfelia · 2,565
#87
Oborot.ru — об электронной торговле для интернет-магазинов, ритейлеров, селлеров
@oborotru · 8,794
#88
Шмит16
@Shmit16 · 17,606
#89
Asan Leadership
@zapiskiceo · 6,045
#90
AWG: практический e-commerce
@awg_ecom · 259
#91
I’m CEO, beach
@imceobeach · 65,056
#92
Владислав Бакальчук
@WBakalchuk · 47,261
#93
Кусочки екома
@ecomparticles · 1,278
#94
Retail Today
@retailtoday · 7,376
#95
Алине можно всё
@alinemozhnovse · 146
#96

Read from Telegram’s recommendation API, most recently 22 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.

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.

Андрей Осокин
@OsokinOsokin · 19,081
Telegram ranks this channel #4 of 100 here — alongside 99 others — read 5 October 2026
Всевидящее Шоко
@vseshoko · 25,801
Telegram ranks this channel #14 of 99 here — alongside 98 others — read 13 September 2026
Алекс Яновский
@AlexYanovsky · 20,443
Telegram ranks this channel #29 of 88 here — alongside 87 others — read 25 September 2026
Я — предприниматель
@dashkievpro · 22,180
Telegram ranks this channel #55 of 91 here — alongside 90 others — read 24 September 2026

This channel appears in 4 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 2 November 2026 — this entry's latest reading, not the date you are reading this.

“Николай Хлебинский” (@nikolay_khl), 23,400 subscribers as measured 2 November 2026. Telegram Register, tgregister.com/channel/nikolay_khl.

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.