Telegram RegisterThe public register of Telegram
Telegram profile photo for Николай Хлебинский

Channel

Николай Хлебинский

@nikolay_khl

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry

23,866subscribers

+2,659 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
DescriptionРегулярно делюсь своим предпринимательским опытом, лайфхаками и фишками про применение ИИ в бизнесе и в жизни. Мои соц. сети: https://taplink.cc/nikolaykhl Контакт для предложений о сотрудничестве: [email protected]
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 live13 November 2026
Measurements held68
Confirmed unchanged1 time, most recently 13 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

21,20623,86622,5366 August 202613 November 2026
68 measurements spanning 99 days, net +2,659. 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 20,807–24,265 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 68
Measured (UTC)SubscribersChange
13 Nov 2026, 01:5123,866+116
10 Nov 2026, 16:1023,750+122
9 Nov 2026, 00:4523,628+182
7 Nov 2026, 17:5923,446+3
6 Nov 2026, 20:1623,443+5
5 Nov 2026, 22:2623,438+14
4 Nov 2026, 22:3623,424+16
3 Nov 2026, 20:4023,408+8
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, 22:3723,204first reading

Engagement

73 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 112 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
33.6%
avg views ÷ 23,866 subscribers
Avg views / post
8,030
14 posts measured
Reaction rate
1.14%
reactions ÷ views · ER floor
Posts in window
14
of 73 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 13 November 2026
Posts held73 (4 July 2026 – 13 November 2026)
Views total112,390
Reactions total1,277
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken14 Nov 2026, 14:49 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

Photos
290
Videos
111
Links
420

Lifetime counters from Telegram’s own channel header, read 14 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Reaction mix

6,427 reactions across 73 posts, in 11 distinct kinds. The most used accounts for 36.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥2,33436.3%
👍1,61325.1%
❤1,41322.0%
😁71611.1%
😢871.35%
😱871.35%
🤔741.15%
👏480.747%
🤯410.638%
🥰90.14%
🤩50.078%

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 73 of the 73 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 6,427 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 73 most recent posts we hold, published 4 July 2026 to 13 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.

Telegram Stars

Stars received
44
across the posts below
Posts paid on
27
of 73 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 73 most recent posts we hold for this entry, published 4 July 2026 to 13 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.

Recent posts

Telegram’s own ‘edited’ marker: 8 of 14 posts held from the last 30 days (57.1%) 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).

13 Nov 2026, 13:34 UTC≈2,930 views26 reactionsread 14 November 2026

Чтобы понять чуть лучше что на самом деле происходит, вставьте в ChatGPT этот промпт: Ты аналитик. Исследуй уровень жизни на планете: кто как живет, по каким критериям это оценивается. На основе всего, что ты обо мне знаешь, определи, какое примерно место я занимаю по уровню жизни среди 8,3 млрд человек на Земле. Назови конкретную цифру, без округления. Делитесь результатами в комментариях! Николай Хлебинский | Я…

🔥13👍7❤5😁1

10 Nov 2026, 12:07 UTC≈5,860 views54 reactionsread 14 November 2026
Photo

Вчера Anthropic выпустила модель Claude Fable 5.2 (я уже потестировал, огонь 🔥️️️️️️), как водится, много разных бенчмарков с красивыми цифрами показали при релизе. Для меня один из самых показательных тест, про который почему-то официально не рассказывают. В нем исследователи дают нейронкам настоящие заказы с биржи фриланса, а результат сравнивают с работой человека, который этот заказ уже выполнил. Всего в замере …

🔥24❤16👍14

9 Nov 2026, 14:11 UTC≈5,710 views74 reactionsread 14 November 2026
Photo

Если еще не посмотрели как обойти систему банов Claude – обязательно посмотрите на YouTube: https://www.youtube.com/watch?v=S51GVl6h7JE

😁54🔥10👍6❤2🤔2

8 Nov 2026, 07:17 UTC≈7,310 views77 reactions3 Starsread 14 November 2026
Photo

Собрал детальный гайд про то, как обходить блокировку Claude. Судя по слухам сегодня ночью, OpenAI так же начал усиленно раздавать баны (пока что в Китае), схема сработает для ChatGPT тоже. Ролик уже на YouTube: https://www.youtube.com/watch?v=S51GVl6h7JE В комментарии под этим постом пошаговый план из ролика

👍45🔥23❤8🥰1

7 Nov 2026, 13:28 UTC≈7,340 views77 reactions1 Starread 14 November 2026
Photo

Возьмите это фото и вставьте его в ChatGPT, написав: "Заполни эту комнату тем, что ты обо мне знаешь". Делитесь результатами в комментариях к посту! Николай Хлебинский | Я в MAХ

👍42🔥19❤16

6 Nov 2026, 14:04 UTC≈7,620 views72 reactionsread 14 November 2026

Западные инженеры, уволенные из-за ИИ, организовались в сообщество, которое с помощью ИИ собирает бесплатные копии софта своих работодателей. Одна из основных целей – компания Salesforce (крупнейший в мире вендор CRM – программ для ведения клиентов и сделок, у нас это AmoCRM и Битрикс24). Закрытый код оригинала не трогают, берут открытую документацию и расписывают ИИшке, как сервис должен себя вести, затем по описан…

👍43🔥15❤10😁3😢1

1 Nov 2026, 18:36 UTC≈8,330 views109 reactionsread 14 November 2026
Photo

Photo, posted without a caption

😁79👍16🔥8😢4🤯2

31 Oct 2026, 07:33 UTC≈8,830 views61 reactions1 Starread 14 November 2026
Photo

К прошлому видео пришло очень много комментариев по китайским моделям, которые были в тесте. За день до релиза, когда вносили финальные правки, вышла новая версия Kimi, в тесте не было Qwen (не так просто получить к нему доступ), плюс я взял не самую мощную версию DeepSeek. Исправился и сделал новый тест с флагманами из Китая. Все еще под впечатлением от их результатов, посмотрите сами, это 🔥️️️️️️🔥️️️️️️🔥️️️️️️ h…

🔥36❤18👍4😁3

27 Oct 2026, 19:49 UTC≈9,820 views444 reactionsread 14 November 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 …

🔥415❤21👍5🤔3

24 Oct 2026, 10:38 UTC≈9,910 views41 reactions2 Starsread 14 November 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.

🔥27👍10❤4

20 Oct 2026, 09:46 UTC≈12,100 views91 reactionsread 14 November 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!

😁42🔥31❤8👍4👏3🤯2🥰1

19 Oct 2026, 12:44 UTC≈10,100 views43 reactions1 Starread 14 November 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❤18🔥6

Showing the 12 most recent of 73 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.

Posts edited after publishing

@nikolay_khl 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.

First edit seen
11 November 2026
Most recent edit
11 November 2026

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.

Андрей Осокин
@OsokinOsokin · 19,157
#1
Михаил Гребенюк
@grebenukm · 250,853
#2
Мастерская Степана Зайцева
@zaitsevstepan · 5,646
#3
Всевидящее Шоко
@vseshoko · 25,756
#4
Oleg Torbosov
@TorbosovLife · 106,564
#5
Виталий Крылов - Команда А
@howtomake10x · 16,979
#6
Retail Rocket Group
@retentionrocket · 1,763
#7
Управление агентством, веб-студией, продакшеном
@agencymanagement · 5,109
#8
Михаил Дашкиев
@mikhaildashkiev · 44,647
#9
Стартап дня. Александр Горный.
@startupoftheday · 62,567
#10
Берегулина Светлана про маркетинг и рост
@marketingmass · 9,857
#11
Ваня Замесин
@zamesin · 50,070
#12
vc.ru
@vcnews · 112,163
#13
Русский маркетинг
@smmrus · 124,959
#14
The Edinorog 🦄
@Theedinorogblog · 44,130
#15
Я — предприниматель
@dashkievpro · 22,108
#16
Сломай и сделай нормально
@mikheenkovnews · 8,096
#17
kyrillic
@kyrillic · 61,215
#18
Журбаза. Инвестиции, бизнес и жизнь. Александр Журба
@uparta · 17,141
#19
Продакты не нужны
@betternotworse · 28,392
#20
Вам шашечки или поехать? | Ирина Шашкина
@ShashkinaIrina · 1,443
#21
Digital Club Channel
@thedigitalclubchannel · 5,654
#22
Sokolovskiy
@sokolay · 109,370
#23
Герман Гаврилов
@german_gavrilov · 18,561
#24
Влад Савин
@VladSavin · 6,530
#25
Всеволод Устинов (канал): Типичный водолей
@vsevolodustinovchannel · 16,478
#26
Фетюхин про AI
@it_ent · 4,980
#27
Sostav
@sostav · 56,437
#28
Соколова наизнанку
@naiznankuo · 59,557
#29
Бизнес Калашникова
@business_kalashnikova · 6,213
#30
Ночной Писаревский
@pisarevich · 17,129
#31
Губкин | Про AI и B2B-продукты
@gubkin_business · 12,121
#32
АННЕНКОВ / Стратегия & Книги
@ANNENKOV_ideas_and_books · 9,463
#33
Гавриков Говорит про: маркетинг, бизнес, саморазвитие
@gavrikovgovorit · 12,745
#34
Настя на связи
@nastyaintouch · 9,416
#35
Беспощадный e-commerce и не только…
@ecommercePrygin · 167
#36
Сизяков делает
@sizyakov_do · 1,409
#37
Марина Вострикова про бизнес и сервис
@bizservis · 7,757
#38
CMO Talks
@cmo4cmo · 5,286
#39
Кирилл Фомичев
@fomichevkirill · 28,721
#40
Зверев в эфире
@zverevonair · 3,318
#41
Gidirim
@alexgidirim · 2,807
#42
Алсу Бикбаева. Консалтинг ИТ-компаний
@aterracons · 5,237
#43
AdIndex
@adindex · 31,320
#44
Оскар Хартманн
@Oskar_Hartmann · 93,796
#45
Dumik
@dumik · 21,747
#46
Фокус на бизнес
@nechto_hard · 13,899
#47
Tim Sekamov @b2btalks
@sekamov · 5,206
#48
Русский ИТ бизнес
@bezsmuzi · 33,619
#49
Телеграм Петроченкова
@petrochenkow · 46,507
#50
Многосерийный) предприниматель
@d_and_ka · 498
#51
EW Club | Лидеры e-com
@ew_ecom · 1,857
#52
ЩЕПЕЛИН | eCommerce | eCompass Capital
@NotBorringPPT · 2,687
#53
Банкста
@banksta · 439,852
#54
Преображенский | E-commerce и Практика
@praktikadaysonline · 3,337
#55
100%Шпирт
@Shpirt100 · 5,218
#56
Максим Спиридонов
@mspiridonov · 69,976
#57
Из коммерса в е-коммерса
@hikollegi · 55,242
#58
Mikhail Tokovinin
@mtokovinin · 109,353
#59
Кутергин в огне 🔥
@kutergin_on_fire · 62,312
#60
KIT SOLER для друзей
@KITSOLER · 947
#61
Digital Marketing Club Russia
@dmcrus · 11,215
#62
Русский венчур
@rusven · 24,977
#63
Data Insight . Цифры E-commerce
@DataInsight · 20,312
#64
Digital Voice / Филипп Лабковский
@digitalvoice_podcast · 679
#65
Председатель еКОМА
@headecom · 832
#66
Заметки Шахматова
@vitnotes · 1,442
#67
EDU
@ProductsAndStartups · 15,340
#68
Бескромный
@dbeskromny · 154,200
#69
Николаенко pro b2b & книги
@nikolaenkoboris · 12,356
#70
IZMENI SOZNANIE
@izmenisoznaniecommunity · 3,201
#71
Forbes Russia
@forbesrussia · 235,489
#72
Куба Далеко
@cuba_verynear · 1,085
#73
Лучшие вакансии
@vacanciesbest · 162,769
#74
AI BOOST: Digital agency by AGIMA
@agima_agencies · 881
#75
Татьяна Ким
@kimtatyana2024 · 86,724
#76
Kumar & Solo
@solokumi · 40,480
#77
Mindbox Журнал
@helpfulmarketing · 6,550
#78
Молянов
@molyanov_blog · 30,996
#79
Блог Громова Олега (ранее Extyl о digital)
@digital_extyl · 3,083
#80
PIM Solutions для Ecom
@pim_blog · 2,502
#81
Поток Замесина
@zamesin_flow · 8,453
#82
Тёмная сторона / Темнографика
@temno · 79,154
#83
Брендбустер - D2C-бренды, развиваем, инвестируем, покупаем
@brandboosterDTC · 837
#84
Любивая Оксана
@lyubivayaoksana2022 · 993
#85
GPT/ChatGPT/AI Central Александра Горного
@aioftheday · 44,704
#86
✨ Офелия Шафир ✨
@ShafirOfelia · 2,576
#87
Oborot.ru — об электронной торговле для интернет-магазинов, ритейлеров, селлеров
@oborotru · 8,775
#88
Шмит16
@Shmit16 · 17,613
#89
Asan Leadership
@zapiskiceo · 5,973
#90
AWG: практический e-commerce
@awg_ecom · 257
#91
I’m CEO, beach
@imceobeach · 64,910
#92
Владислав Бакальчук
@WBakalchuk · 47,139
#93
Кусочки екома
@ecomparticles · 1,277
#94
Retail Today
@retailtoday · 7,374
#95
Алине можно всё
@alinemozhnovse · 145
#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 · 19,157
Telegram ranks this channel #4 of 100 here — alongside 99 others — read 5 October 2026
Всевидящее Шоко
@vseshoko · 25,756
Telegram ranks this channel #14 of 99 here — alongside 98 others — read 13 September 2026
Алекс Яновский
@AlexYanovsky · 20,344
Telegram ranks this channel #29 of 88 here — alongside 87 others — read 25 September 2026
Я — предприниматель
@dashkievpro · 22,108
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 13 November 2026 — this entry's latest reading, not the date you are reading this.

“Николай Хлебинский” (@nikolay_khl), 23,866 subscribers as measured 13 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.