Personal blog — 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 15 September 2026 and assigned it the closest of 31 fixed categories, at 72% 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
14 measurements spanning 42 days, net -58. 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 2,874–2,950 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
17 Sept 2026, 14:38
2,883
-6
13 Sept 2026, 22:20
2,889
-3
10 Sept 2026, 07:17
2,892
-2
4 Sept 2026, 19:37
2,894
-13
1 Sept 2026, 11:14
2,907
-1
29 Aug 2026, 12:43
2,908
-3
26 Aug 2026, 04:22
2,911
-2
22 Aug 2026, 21:28
2,913
-4
19 Aug 2026, 11:25
2,917
-1
16 Aug 2026, 17:36
2,918
-7
13 Aug 2026, 06:57
2,925
-12
10 Aug 2026, 00:51
2,937
-3
7 Aug 2026, 02:18
2,940
-1
6 Aug 2026, 05:49
2,941
first reading
Engagement
8 posts held, back to 1 August 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 2 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 8 posts for this entry, the most recent from 6 August 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
101 reactions across 7 posts, in 2 distinct kinds. The most used accounts for 70.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
custom 5219703140995058080
71
70.3%
custom 5274195706066781810
30
29.7%
Custom emoji. Every row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 7 of the 8 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 101 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 8 most recent posts we hold, published 1 August 2026 to 6 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.
Telegram Stars
Stars received
2
across the posts below
Posts paid on
1
of 8 we hold a reading for · 13%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @katyacoop. 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 8 most recent posts we hold for this entry, published 1 August 2026 to 6 August 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.
Новый chapter в отношениях с онлайн-чтением начинается. Первую книгу, которую хочу загрузить, будет Александр Аузан «Культурные коды экономики: как ценности влияют на конкуренцию, демократию и благосостояние народа», которую в этом месяце читаем в одном из книжных клубов.
Как давно я хотела себе купить Kindle, но все откладывала. И вот, цвет матча поставил окончательную точку в сомнениях, пришлось срочно заказывать.…
Вместе с мужем подсели на иглу под названием Duolingo: я практикую свой и без того неплохой итальянский уже несколько месяцев и вот, начала учить португальский, супруг учится заказывать багеты на французском, а старшая дочка по вечерам обыгрывает сову в партии шахмат. В общем, зеленый маскот у нас как полноценный член семьи!
И вот недавно увидела пост про Duolingo — как они «убили» своего маскота, собрали 580 тысяч …
Вот уж хорошо общаться больше и с разными людьми: так узнаешь, что кто-то для повседневной жизни использует Perplexity или вообще Алису! В моем мыльном пузыре существует только две реальности: Claude для работы и ChatGpt для разговоров о высоком и бытовом.
Поэтому очень интересно узнать у читателей канала, какая иишка закрывает вам базовые ежедневные задачи? Где вы чаще всего?
Какую LLM вы используете чаще всего в жизни/работе?
Claude15%
ChatGPT53%
Алиса6%
Gemini8%
Perplexity4%
Deep seek19%
Другое (в комменты пж)9%
Я не использую ИИ6%
Миксую Claude и ChatGPT15%
The shares total 135%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Буквально за один день получила несколько приятных комментариев касательно нашего сайта: все понятно, по айдентике и наполнению считывается наш агентсткий подход, сайт выглядит актуально и современно. Это очень приятные и своевременные комплименты, потому что мне все время хочется что-то допилить, добавить порцию новых кейсов и настроить всевозможные оптимизации, чтобы нас еще проще находили в поисковике. Допиливания…
В этот раз в Москве мы наконец увиделись с Таней Нажи, сооснователем Fiona Franchimon Russia (возможно, мои длинноволосые подписчики знают эти классные шпильки для волос) и гастрономического проекта Le Pere Nagy. Его я люблю отдельно и бесповоротно: у Тани с мужем-французом Акселем своё производство мясных деликатесов по традиционным французским рецептам в Москве.
Отдельное уважение испытываю к предпринимателям, кот…
Про мой любимый старый новый ресторан под эстакадой
Так давно не оставалась в Москве на выходные, что вчера была попытка уместить максимально все: и работу, и спорт, и друзей, и старые и новые места. Про Masa Madre в Лужниках прожужжала всем друзьям: хорошо мне там очень, на лужайке под эстакадой и в отдалении от падельщиков!
Поняла, что MM в Лужниках — это буквально оплот моего поколения. Место, где не надо сидет…
Лето в Москве
С удовольствием продолжу песню большинства о том, что Москва летом прекрасна. С оговоркой, что в выходные особенно.
С утра я пробежалась по Лужникам и в 9:30 заняла свободный стол в pop up Masa Madre (к 11:00 стояла очередь). Тот случай, когда готова простить мух на выпечке и птиц за своим столом за лучший фильтр-кофе, завтрак, манкибред и атмосферу.
На обед мы встретились с друзьями в Eva в Хамовник…
Showing the 8 most recent of 8 posts we hold for @katyacoop. 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.
Polls
The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.
Какую LLM вы используете чаще всего в жизни/работе?
Claude15%
ChatGPT53%
Алиса6%
Gemini8%
Perplexity4%
Deep seek19%
Другое (в комменты пж)9%
Я не использую ИИ6%
Миксую Claude и ChatGPT15%
The shares total 135%, above 100: this poll accepts more than one answer per voter. No per-option vote count is published, so the number of voters who chose each option is not derivable and is not shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 8 most recent posts we hold, published 1 August 2026 to 6 August 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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
Named by 4 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.
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.
Big Beauty Boss @bigbeautyboss · 88,632 Telegram ranks this channel #57 of 92 here — alongside 91 others — read 18 August 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list 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 17 September 2026 — this
entry's latest reading, not the date you are reading this.
“Агент Купер by Катя Смольянова” (@katyacoop), 2,883 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/katyacoop.
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.
