fashion lnfluencer
об интересных коллаборациях, контенте, классной одежде и лайф жизни
Для сотрудничества @da_shady
ПН-ПТ 10:00-18:00
inst: https://www.instagram.com/larakrasnikova
№ 8087142762
Created
Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
Ecommerce storefront — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 54% 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
35 measurements spanning 41 days, net -513. 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”.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)
Subscribers
Change
17 Sept 2026, 17:20
30,666
+30,137
17 Sept 2026, 11:42
529
-29,341
15 Sept 2026, 11:42
29,870
+78
13 Sept 2026, 21:17
29,792
-272
12 Sept 2026, 05:15
30,064
-350
10 Sept 2026, 02:01
30,414
+29,944
8 Sept 2026, 11:58
470
-30,482
6 Sept 2026, 21:21
30,952
-534
4 Sept 2026, 05:17
31,486
-282
2 Sept 2026, 18:58
31,768
-2,865
1 Sept 2026, 17:44
34,633
-330
31 Aug 2026, 15:29
34,963
+34,603
30 Aug 2026, 16:17
360
-35,034
30 Aug 2026, 14:26
35,394
-303
29 Aug 2026, 14:18
35,697
-525
28 Aug 2026, 11:13
36,222
-223
27 Aug 2026, 12:25
36,445
-656
26 Aug 2026, 11:14
37,101
-745
25 Aug 2026, 08:15
37,846
no change
25 Aug 2026, 08:01
37,846
first reading
Engagement
44 posts held, back to 5 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 52 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
4.82%
avg views ÷ 30,666 subscribers
Avg views / post
1,480
23 posts measured
Reaction rate
9.52%
reactions ÷ views · ER floor
Posts in window
23
of 44 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 25 September 2026
Posts held
44 (5 August 2026 – 25 September 2026)
Views total
34,016
Reactions total
3,240
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
25 Sept 2026, 12:01 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
≈3,690
Videos
≈390
Links
≈181
Lifetime counters from Telegram’s own channel header, read 25 September 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.
Video runtime
10m 34s
Average length
37s
Measured directly from 17 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
6,311 reactions across 44 posts, in 10 distinct kinds. The most used accounts for 27.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,754
27.8%
🥰
1,582
25.1%
🔥
817
12.9%
🕊
517
8.19%
👏
443
7.02%
👍
422
6.69%
❤🔥
389
6.16%
💋
338
5.36%
💔
43
0.681%
😁
6
0.095%
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 44 of the 44 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 6,311 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 44 most recent posts we hold, published 5 August 2026 to 25 September 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
2
of 44 we hold a reading for · 5%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @larakrasnikova_style. 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 44 most recent posts we hold for this entry, published 5 August 2026 to 25 September 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.
Вчера побывала на презентации нового Selfmade в галерее Askeri.
Кажется, теперь бренд говорит не только про одежду, а про женщину, её характер и разные роли, которые в ней уживаются.
Муза, дива, гедонистка - у каждой своя энергия и свой Selfmade.
Очень понравилось, как эту идею передали через пространство: розовые инсталляции, архивные кадры, Selfmade Café и множество деталей, которые складывались в одну историю.
…
Едем на REF - модный бизнес-кампус в Завидово
И, конечно, такой выезд не обошёлся без главного девичьего вопроса: «А что мы будем носить?»
Мы со стилистами-коллегами собрали образы - каждый со своим характером, настроением и видением.
Показываю, что получилось.
Чей образ вы бы выбрали для REF?
Необычное, красивое приглашение прислал Selfmade на презентацию ребрендинга бренда.
обязательно поделюсь с вами какие изменения произошли у
@selfmaderussianbrand.
Есть много каналов о моде, но этот - настоящий бриллиант.
Представьте винегрет из заметок от стилиста, визуального кайфа и тонкого юмора. Воооот, это и есть канал Наташи.
Просто занырните в посты и сохраняйте:
• самые нужные вещи сезона в разделе #незряпотраченныебабки
• Обзоры брендов
• look of the day, последние с Мальдив, неприятно, конечно, но очень красиво
• реальные клиентские кейсы стайлинга гардероба
В…
Перепутала день концерта, но попали на клиентский день в Эконика на Столешников переулке с Татьяной Никейцевой - и по дороге встретила своих девочек, коллег-стилистов♥️
На днях стилизовала брата мужа - Иван тоже захотел примерить новинки в 12 STOREEZ.
Сначала определили его дефициты в осеннем гардеробе, а затем отправились собирать новые образы. Мне, конечно, было особенно интересно поиграть с цветовыми сочетаниями и фактурами.
Как вам образы? Какой понравился больше?
Люблю свою работу💔
С нами случился батл между двумя командами из 8 стилистов (каждая команда по 4 стилиста). Якобы мы «слизали» их формат. Но, давайте разбираться , во -первых у девушек из второй команды строятся ролики в рамках одной вещи , а у нас под КЖО (круг жизненных обстоятельств) и в целом наш формат отличается от коллег. На всей этой нашумевшей истории решили снять совместный батл. В итоге получилось 4 изделия, 8 стилистов и д…
Дарим iPhone 18 и сертификат в ЗЯ (или 150.000₽ и 30.000₽ на карту) 🤍
Условия:
Подписаться на нашу ПАПКУ
Нажать «участвую»
1 место - iPhone 18 (или 150.000₽ на карту)
2 место - сертификат в ЗЯ (или 30.000₽ на карту)
Достанутся рандомным участникам и еще 5 человек получат по 10.000₽ на карту за искренний актив на каналах {комментарии, написанные через нейросеть, учитываться не будут}
Итоги - 15.10 в 20:00 у ме…
Если вы, как и я, любите, когда укладка занимает минимум времени, но при этом хочется выглядеть так, будто только что вышла из салона, - я нашла классное решение.
Фен-выпрямитель SARA от @waubeauty заменил мне сразу два прибора и помогает делать красивые, гладкие и ухоженные волосы всего за 7–10 минут.
Пять температурных режимов для влажных и сухих волос
Ионизация для зеркального блеска
Автоматическое отключение пр…
❤83🔥46👍33
Showing the 12 most recent of 44 posts we hold for @larakrasnikova_style. 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
@larakrasnikova_style 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
16 August 2026
Most recent edit
17 August 2026
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
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 14 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.
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.
Read from Telegram’s recommendation API, most recently 6 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.
ele.chka | уход | беременность @beautyelechka · 26,160 Telegram ranks this channel #5 of 70 here — alongside 69 others — read 13 September 2026
LIFEWITHANYA @LIFEWITHANYA · 36,768 Telegram ranks this channel #6 of 65 here — alongside 64 others — read 31 August 2026
Yuliya Melkumyan🥂 @broilinhades · 37,943 Telegram ranks this channel #7 of 65 here — alongside 64 others — read 30 August 2026
𝐌𝐨𝐧𝐧𝐚 𝐋𝐢𝐬𝐚 @monnalisaaaaaa · 48,467 Telegram ranks this channel #8 of 64 here — alongside 63 others — read 25 August 2026
счастье, да и Таня! @ohwonderful · 23,261 Telegram ranks this channel #13 of 64 here — alongside 63 others — read 18 September 2026
Чаю налить?☕️ @pourmeteea · 51,756 Telegram ranks this channel #14 of 66 here — alongside 65 others — read 31 August 2026
Бикшаева несёт @bikshaevaneset · 21,953 Telegram ranks this channel #19 of 80 here — alongside 79 others — read 25 September 2026
Beauty_obsession💄 @beauty_obsesion · 33,053 Telegram ranks this channel #19 of 77 here — alongside 76 others — read 4 September 2026
Vi КЕЙНЕС @keynece · 37,603 Telegram ranks this channel #26 of 50 here — alongside 49 others — read 31 August 2026
SOFIA 💌 @sofia_molz · 46,742 Telegram ranks this channel #27 of 82 here — alongside 81 others — read 25 August 2026
запах минувших дней @grazhinka1 · 146,468 Telegram ranks this channel #34 of 58 here — alongside 57 others — read 12 August 2026
Косметичка Ксюши @qksenia · 24,202 Telegram ranks this channel #35 of 74 here — alongside 73 others — read 19 September 2026
просто юля @yyulias4 · 27,667 Telegram ranks this channel #42 of 77 here — alongside 76 others — read 6 September 2026
хотелка дня! @hotelkadna · 27,778 Telegram ranks this channel #44 of 74 here — alongside 73 others — read 10 September 2026
Реалии Аполлинарии @ba_polly · 24,775 Telegram ranks this channel #45 of 77 here — alongside 76 others — read 11 September 2026
Taty Ilina @tatyilina · 31,660 Telegram ranks this channel #47 of 80 here — alongside 79 others — read 5 September 2026
Nikolskaya @nikolskaya_life · 24,106 Telegram ranks this channel #48 of 72 here — alongside 71 others — read 13 September 2026
DIANA @divaddii · 30,419 Telegram ranks this channel #48 of 78 here — alongside 77 others — read 7 September 2026
AlenaBeautyMom @mama1714 · 36,939 Telegram ranks this channel #50 of 58 here — alongside 57 others — read 4 September 2026
M13 @CharliesAngelsZ · 49,290 Telegram ranks this channel #51 of 67 here — alongside 66 others — read 19 September 2026
darinalanguage @darina_language · 21,050 Telegram ranks this channel #53 of 81 here — alongside 80 others — read 25 September 2026
Моменты Ольги @Momentsolga · 21,629 Telegram ranks this channel #54 of 69 here — alongside 68 others — read 23 September 2026
🍓AlexGoldenGirl ✨ мотивация @alexgoldengirl · 23,711 Telegram ranks this channel #56 of 60 here — alongside 59 others — read 17 September 2026
ITS ANGELINA 🪩 @beautygirlszz · 20,883 Telegram ranks this channel #57 of 72 here — alongside 71 others — read 25 September 2026
This channel appears in 32 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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.
“Lara Krasnikova / стилист / фэшн-инфлюенсер” (@larakrasnikova_style), 30,666 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/larakrasnikova_style.
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.