Меня зовут Юля Катькало.
Я пишу о стиле и том, что вокруг него. О теле, возрасте, деньгах и удовольствии.
Мой второй канал — @gedonistique
По вопросам сотрудничества: @juliacatcalo_bot
Nº 4848204362
Created
15 August 2017 — measured — cross-checked against a third-party dataset (ext.tg_channel)
10 measurements spanning 9 days, net -68. 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 24,311–24,399 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Aug 2026, 18:35
24,321
-9
13 Aug 2026, 07:14
24,330
-11
12 Aug 2026, 05:22
24,341
-16
11 Aug 2026, 06:41
24,357
-5
10 Aug 2026, 04:43
24,362
-5
9 Aug 2026, 06:43
24,367
-2
8 Aug 2026, 09:59
24,369
-4
7 Aug 2026, 06:44
24,373
-16
6 Aug 2026, 02:03
24,389
no change
6 Aug 2026, 01:52
24,389
first reading
Engagement
8 posts held, back to 4 June 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 22 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
39.3%
avg views ÷ 24,321 subscribers
Avg views / post
9,550
3 posts measured
Reaction rate
3.59%
reactions ÷ views · ER floor
Posts in window
3
of 8 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
Window
Rolling 30 days · latest post in window 12 August 2026
Posts held
8 (4 June 2026 – 12 August 2026)
Views total
28,640
Reactions total
1,029
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
15 Aug 2026, 16:37 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
≈2,390
Videos
≈9
Links
≈769
Lifetime counters from Telegram’s own channel header, read 15 August 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.
Reaction mix
5,318 reactions across 7 posts, in 3 distinct kinds. The most used accounts for 74.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
3,943
74.1%
🔥
1,009
19.0%
👍
366
6.88%
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 8 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 5,590reactions 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 4 June 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.
Образ, в котором я чувствую себя собой на 100%:
Свитшот с акцентным рукавами Dries van noten. Свитшоты я сейчас люблю больше свитеров, поэтому планирую дублировать их в разных вариациях, а количество трикотажа наоборот нужно немного сократить.
Любимые джинсы, в которые я наконец снова влезаю, 7 all for mankind.
Мюли на небольшом каблуке Jil Sander. Про мюли писала много раз, это мой формат обуви. Люблю закрытый но…
Не могу не написать про «Пятый сезон», коллекцию трикотажа Karpov.
Посылка приехала ко мне за сутки до экспедиции, и я сразу закинула футболку в чемодан.
В путешествии за полярным кругом была аномальная жара, поэтому в этой футболке (и пижамных шортах, единственных, которые я взяла) я провела неделю.
➤ С шоппером уже несколько раз гоняла на рынок: он идеален! Очень удобные внешние карманы.
➤ Свитшот ждет своего про…
Плавно и без резких движений начинаю смотреть в сторону осени: примерила новую премиальную коллекцию ZARINA / ICONIC.
Покажу, что понравилось мне больше всего:
➤ Куртка из натуральной замши графитов оттенка. Отличное качество за свои деньги. Куртка очень комфортная по весу, я не люблю и не ношу тяжелую верхнюю одежду. Хорошая длина на средний рост, я — 165 см.
➤ Жилет и кардиган красного оттенка из 100% шерсти. По…
Почему я перестала делать вебинары
Первый вебинар я провела в 2017 году. К этому моменту я уже пару лет читала лекции и проводила мастер-классы оффлайн, и Варя Веденеева подкинула мне идею о том, что это можно перевести в онлайн формат.
Я буду благодарна ей за это всегда — это переломный момент в моей жизни.
➤ Я думала, что на первый вебинар запишется человек 20-30, примерно столько людей приходило ко мне на лекци…
«Аптечка» для одежды
Собрала в одну коробку всю мелочевку: запасные пуговицы, набойки, шнурки и т.д.
Туда же сложила бирки, мне кажется, что полный комплект таких штук повышает стоимость вещей на ресейле.
В целом, один ящик в гардеробной отдала под девайсы по уходу за вещами: щетки и машинка для удаления катышков, липкие роллеры, ножницы, салфетки от пятен.
Наконец дошли руки полноценно все это собрать и организов…
Обувь — мой пунктик
Покупаю ее часто и с удовольствием!
Всю свою жизнь я худею, набираю, снова худею: одних джинсов у меня гора всех размеров от 27 до 31, чтобы вы понимали. Возможно, легкость, с которой я пополняю обувной гардероб, связана с этим — в независимости от веса, обувь остается константой.
Покажу, что я купила за последнее время:
➤ У меня новая волна любви к Proenza Schouler — как-то бренд потерялся из…
Я и моя карьера
Мы работали над Tidy 9 месяцев, хочу рассказать, как я изменилась за это время:
➤ Прошлым летом со мной случилось чп — мне на палец ноги упала плита, у меня был открытый перелом, 2 операции и долгое восстановление. Кроме этого, я лечила депрессию.
Я была, мягко говоря, не в ресурсе.
➤ Я продолжала одевать клиенток и вести тг-каналы: эти процессы мне понятны.
➤ Создание приложение — кардинально нов…
У Sanchy (какое-то время назад) открылся новый шоурум, а в старом теперь работает аутлет.
Была вчера: кроме теплого есть и летние позиции, все с большими скидками!
Взяла такой летний мешочек и легчайшую рубашку в клетку на жару.
Showing the 8 most recent of 8 posts we hold for @Juliacatcalo. 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 — 765,298 of 1,481,217entries 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.
Vrednayamoda / Вредная Мода @vrednayamoda · 188,898 Telegram ranks this channel #36 of 69 here — alongside 68 others — read 11 August 2026
Лёгкий быт с Аидой Prodom @aidaprodom · 307,098 Telegram ranks this channel #63 of 77 here — alongside 76 others — read 10 August 2026
Шелуша Фуд | @shelusha_food | Маша Шелушенко @shelusha_food · 327,984 Telegram ranks this channel #65 of 82 here — alongside 81 others — read 10 August 2026
Валентина Паевская @valentinapaevskaya · 232,319 Telegram ranks this channel #80 of 85 here — alongside 84 others — read 11 August 2026
Полина Мальцева @polina_education · 120,062 Telegram ranks this channel #82 of 89 here — alongside 88 others — read 14 August 2026
Ретроградный Меркурий @retrogrademercury · 163,656 Telegram ranks this channel #89 of 89 here — alongside 88 others — read 12 August 2026
This channel appears in 6 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 14 August 2026 — this
entry's latest reading, not the date you are reading this.
“Катькало” (@Juliacatcalo), 24,321 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/Juliacatcalo.
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.
