Telegram RegisterThe public register of Telegram

Channel

ХАЛКУС

@kkhalkus

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

110,764subscribers

-15 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1001648953192
TypeChannel
Username@kkhalkus
Created11 November 2021measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded7 August 2026
Last confirmed live12 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/kkhalkus

Topic

Personal blog — 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 9 August 2026 and assigned it the closest of 31 fixed categories, at 73% 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 why it has no browse page of its own yet.

Growth

110,728110,779110,753.57 August 2026 — 110,779 subscribers7 August 2026 — 110,779 subscribers7 August 2026 — 110,762 subscribers8 August 2026 — 110,779 subscribers9 August 2026 — 110,745 subscribers10 August 2026 — 110,728 subscribers11 August 2026 — 110,736 subscribers12 August 2026 — 110,764 subscribers110,7647 August 202612 August 2026
8 measurements spanning 5 days, net -15. 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 110,720–110,787 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 19:13110,764+28
11 Aug 2026, 22:02110,736+8
10 Aug 2026, 23:16110,728-17
9 Aug 2026, 21:21110,745-34
8 Aug 2026, 20:12110,779+17
7 Aug 2026, 22:35110,762-17
7 Aug 2026, 10:00110,779no change
7 Aug 2026, 09:50110,779first reading

Engagement

17 posts held, back to 3 August 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 17 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
19.7%
avg views ÷ 110,764 subscribers
Avg views / post
21,800
17 posts measured
Reaction rate
5.90%
reactions ÷ views · ER floor
Posts in window
17
of 17 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 12 August 2026
Posts held17 (3 August 202612 August 2026)
Views total370,700
Reactions total21,867
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 18:28 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
2m 00s
Average length
20s

Measured directly from 6 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

21,867 reactions across 17 posts, in 17 distinct kinds. The most used accounts for 55.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
12,16055.6%
💘3,49316.0%
❤‍🔥2,70512.4%
😍1,4486.62%
🥰5282.41%
🤩3711.70%
😇2881.32%
🙏2761.26%
💅2080.951%
🕊1800.823%
🤗820.375%
😱410.187%
🤯380.174%
👍310.142%
😎140.064%
👏20.009%
🤔20.009%

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 17 of the 17 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 21,867reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 17 most recent posts we hold, published 3 August 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.

Recent posts

12 Aug 2026, 13:29 UTC≈11,000 views661 reactionsread 12 August 2026
Photo

я все-таки решила взять себя в руки и вспомнить английский ⭐ в школе я кстати его ненавидела… я сделала большой скачок за 2 года до егэ, сейчас спокойно читаю статьи и смотрю фильмы на английском. что мне помогло: 💌 репетитор… очень важно с кем-то разговаривать 🌺 адаптированные книги жанра, который вам НРАВИТСЯ! 💋 не кино, а именно сериалы/шоу, по 1-2 серии в день ✨ внимательно читать переводы песен > добавлять их

400🥰136😍88❤‍🔥24💘11👍2

11 Aug 2026, 19:26 UTC≈18,500 views1,895 reactionsread 12 August 2026
Photo

мой любимый журнал сейчас – Лиза Добрые советы. в прошлый раз на обложке была Миранда Пристли, в этот раз снялась Зендея. Зендея тоже хитрая: в мае снялась для Vogue, а сейчас побежала пиарить Человека-Паука в Добрые советы… мое инспо 🙏🏻

1,140❤‍🔥465💘241🙏41🥰5💅2🕊1

11 Aug 2026, 14:35 UTC≈20,300 views948 reactionsread 12 August 2026
Photo

сколько бы раз я не писала про этот свитер, я ВСЕГДА получаю миллион вопросов ✨🦢 этот свитер я тоже однажды увидела в pinterest, и он стал моей мечтой 🐇 это свитер испанского бренда Favorite Child, стоил 10-15 тысяч, качество шикарное! он со мной 2 года, нет ни одной катышки. но мой главный косяк – я взяла XS, и только потом прочитала, что он маломерит. сидит куцевато, берите на 1-2 размера больше! 😭 я видела под

576😍185💘135❤‍🔥43💅7👍2

11 Aug 2026, 12:21 UTC≈21,200 views686 reactionsread 12 August 2026
Photo

теперь у меня есть телефон, как у Пэрис Хилтон!! 😭 этот бриллиант прислал мне Т-Банк, а все потому, что в этом году ему исполнилось 20 лет. в 2006 году мир еще не увидел «Гарри Поттера», «Сумерки», «Голодные игры» и «Сплетницу»… а Ариана Гранде и Джастин Бибер еще не выпустили первые песни, прикиньте…🫣 а сервисами Т-Банка мы пользуемся до сих пор) и в честь 20-летнего юбилея Т-Банка мы можем погрузиться в атмосфер

438💅131🥰65💘21❤‍🔥18🙏5🤗4👍2

11 Aug 2026, 09:12 UTC≈22,000 views1,771 reactionsread 12 August 2026
Photo

мы не покупаем темное постельное белье, потому что на нем сложнее распознать подозрительный бугорок 🧺 и тогда мы не заметим Фунтика! он тихо удаляется в спальню, максимально аккуратно накрывается одеялом и может отдыхать так часами. раньше мы боялись, что ему мало воздуха, и специально оставляли маленькую щелочку. но Фунтик тут же обиженно уходил 🤣 теперь мы поняли, что устраивает себе блэкаут ✨

1,060😍379❤‍🔥230🙏50💘28😎8🤯6🤩5

10 Aug 2026, 13:56 UTC≈23,700 views1,636 reactionsread 12 August 2026
Photo

*первый листик еще не успел упасть с дерева* я в эре tuscan mom пью горячий латте 🍂✨🐆 недавно обсуждали с подругами, почему в августе мы уже ждём осень, а потом вспомнили, что купальники в магазинах начали продавать еще в апреле…

945💘389😍210😱38❤‍🔥28😇7🕊6💅5

9 Aug 2026, 14:45 UTC≈24,800 views1,419 reactionsread 12 August 2026
Photo

соседи сбежались на аромат и пообещали переписать на меня имущество, если я раскрою секрет любимых тостов Хейли Бибер…💅🌸 если без шуток – БЕЗУМНО вкусно! делали впервые, хлеб пропитан томатным соусом, но корочка хрустит. и сыр так вкусно тянется 💔 рецепт 10/10, однозначно советую попробовать!!

860❤‍🔥316💘207🙏26😍5🤩4👍1

9 Aug 2026, 12:40 UTC≈24,200 views1,797 reactionsread 12 August 2026
Photo

что меня тронуло еще – Саша купил нам парные букетики 🥹 глядя на свадебную подготовку моей подруги, кажется, я начинаю созревать сама… 🫣 мы шутим, что Валюшка будет моим свадебным агентом. просто скажет, во сколько мне приехать на мою свадьбу 🤣 это мой идеальный вариант 🙏🏻

1,070🤩332❤‍🔥268🙏56💘37🤗9🥰9😍8

9 Aug 2026, 11:34 UTC≈25,500 views2,310 reactionsread 12 August 2026
Photo

вчера моя подруга вышла замуж 😭💍 я была уверенна, что сдержусь на свадьбе, по итогу рыдала везде: от примерки платьев в салоне до ЗАГСа. боюсь представить, что будет не свадьбе 😭😭😭 мы дружим 8(!) лет, со школы, прошли вместе столько всего… потом встретили своих Саш и получили предложения с разницей в 2 дня… и увидеть ее с обручальным кольцом – непередаваемые эмоции 💔 будь счастлива, моя крошечка!

1,350💘550😇278❤‍🔥93😍15🤗6🤩5🥰5

8 Aug 2026, 09:04 UTC≈22,600 views991 reactionsread 10 August 2026
Video

вышел наш макияж с Амик 🎀 поговорили о свадьбе, поотвечала на вопросы о Саше и о журнале, в общем, если еще не смотрели - обе части можно глянуть у Амик в тиктоке 💕

💘400❤‍🔥296225🤗48💅9😍7👍3🤩1

7 Aug 2026, 16:41 UTC≈24,000 views652 reactionsread 10 August 2026
Photo

мы ходили на Saluki! ⭐ море людей, все танцуют и бесятся под открытым небом… и лето сразу ощущается на 100% 💃 мы брали билеты через Афишу в Т-Банке, для нашей категории билетов был доступен быстрый проход - вот мы и зашли через отдельный вход без огромных очередей, а наша трибуна… в общем, по фоткам видно 😎 свои пледы, много места, чтобы потанцевать и пофоткаться и идеальный вид на сцену! так концерт ощущается в 1

306❤‍🔥195🙏78🥰27💘22👍5💅5🤩5

6 Aug 2026, 10:19 UTC≈20,600 views1,421 reactionsread 9 August 2026
Photo

обменялись сувенирами с подружкой! 🐈‍⬛ причем улетала только я, но она урвала нам леопардовые «тройки» для транспорта 😭🐆 на банковской карте у меня наклейка… в общем, в кошельке теперь сафари 🤩

💘657500🕊167❤‍🔥77💅5🙏5👍3🤩3

Showing the 12 most recent of 17 posts we hold for @kkhalkus. 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.

Citation-graph rank

Citation-graph rank — 774,367 of 1,151,006entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

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

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.

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.

DaSHuk
@ShulginaDa · 152,202
Telegram ranks this channel #1 of 60 here — alongside 59 others — read 12 August 2026
rutkismary
@rutkismary · 331,163
Telegram ranks this channel #6 of 57 here — alongside 56 others — read 10 August 2026
Outfits
@outfits · 216,785
Telegram ranks this channel #15 of 81 here — alongside 80 others — read 11 August 2026
ох
@theohdaily · 179,039
Telegram ranks this channel #16 of 62 here — alongside 61 others — read 12 August 2026
Clapp Snap!
@KateClappTelegram · 172,403
Telegram ranks this channel #29 of 61 here — alongside 60 others — read 12 August 2026
Наука о сапиенсах
@sapiscience · 194,355
Telegram ranks this channel #43 of 76 here — alongside 75 others — read 11 August 2026
so sad so sеху
@welcometomyisland · 252,386
Telegram ranks this channel #55 of 79 here — alongside 78 others — read 10 August 2026

This channel appears in 7 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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“ХАЛКУС” (@kkhalkus), 110,764 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/kkhalkus.

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.