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Channel

Подборки от Романовской

@PODBORKI_PLUS_SIZE

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

22,774subscribers

-986 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1002001469068
TypeChannel
Username@PODBORKI_PLUS_SIZE
DescriptionСтилист Романовская | авторский блог | подборки 🧡 сотрудничество: @GenMeneger 📍Москва 052e58dcd ePN РКН: https://gosuslugi.ru/snet/693a690c41823ceb1a86eca2 #5MQIL
CreatedBetween 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live11 November 2026
Measurements held64
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/PODBORKI_PLUS_SIZE

Topic

Other / unclassifiable — 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 10 August 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 the other topics.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 1 other registered channel. This entry also forms a group of 2 channels linked by matching posts. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@PODBORKI_PLUS_SIZE/12834 · this entry5 Aug 2026, 12:37 UTC@PODBORKI_MEDIUM_SIZE/110335 Aug 2026, 12:37 UTC1.00under a minute
@PODBORKI_MEDIUM_SIZE/1116819 Aug 2026, 15:30 UTC@PODBORKI_PLUS_SIZE/12993 · this entry21 Aug 2026, 07:50 UTC1.0040 hours
@PODBORKI_MEDIUM_SIZE/1122426 Aug 2026, 11:50 UTC@PODBORKI_PLUS_SIZE/13044 · this entry27 Aug 2026, 06:20 UTC1.0019 hours
@PODBORKI_MEDIUM_SIZE/1123127 Aug 2026, 06:15 UTC@PODBORKI_PLUS_SIZE/13051 · this entry28 Aug 2026, 06:45 UTC1.0025 hours
@PODBORKI_MEDIUM_SIZE/1124328 Aug 2026, 10:17 UTC@PODBORKI_PLUS_SIZE/13063 · this entry29 Aug 2026, 06:45 UTC1.0020 hours
@PODBORKI_MEDIUM_SIZE/118082 Nov 2026, 05:38 UTC@PODBORKI_PLUS_SIZE/13707 · this entry8 Nov 2026, 15:37 UTC1.006 days
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@PODBORKI_MEDIUM_SIZE52 (8/8 hand-verifiable sample passed)1.0022 hours@PODBORKI_MEDIUM_SIZE (29–23)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 29 of the 29 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 126 comparable posts for this entry, running 4 August 2026 to 12 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Of the group of 2 channels, the one whose matching posts we hold earliest is @PODBORKI_PLUS_SIZE — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_mutual, last confirmed 13 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Channels linked by matching posts

This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

22,77423,76023,2677 August 202611 November 2026
64 measurements spanning 96 days, net -986. 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 22,626–23,908 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 64
Measured (UTC)SubscribersChange
11 Nov 2026, 12:1822,774-17
9 Nov 2026, 15:0122,791-13
8 Nov 2026, 08:1722,804-6
7 Nov 2026, 03:5922,810-2
6 Nov 2026, 02:3622,812-5
5 Nov 2026, 01:0922,817-8
3 Nov 2026, 21:4922,825-11
3 Nov 2026, 00:1522,836-15
1 Nov 2026, 21:4522,851-10
31 Oct 2026, 22:3122,861-20
30 Oct 2026, 19:0722,881-8
29 Oct 2026, 16:0922,889-5
28 Oct 2026, 16:5822,894-7
27 Oct 2026, 19:4722,901-13
26 Oct 2026, 18:2022,914+2
25 Oct 2026, 19:0622,912-9
24 Oct 2026, 18:5922,921-8
23 Oct 2026, 20:5422,929-14
22 Oct 2026, 21:4922,943-8
21 Oct 2026, 19:3022,951first reading

Engagement

139 posts held, back to 4 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 113 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
3.55%
avg views ÷ 22,774 subscribers
Avg views / post
809
36 posts measured
Reaction rate
2.02%
reactions ÷ views · ER floor
Posts in window
36
of 139 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 held139 (4 August 2026 – 13 November 2026)
Views total29,135
Reactions total588
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Nov 2026, 15:07 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
≈10,900
Videos
≈328
Links
≈1,780

Lifetime counters from Telegram’s own channel header, read 13 November 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
3m 53s
Average length
33s

Measured directly from 7 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

2,184 reactions across 136 posts, in 16 distinct kinds. The most used accounts for 62.4% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤1,36262.4%
🔥35616.3%
👍1366.23%
🤣1094.99%
💯803.66%
😁622.84%
❤‍🔥431.97%
🥰140.641%
🙈50.229%
🙉50.229%
😱30.137%
🤪30.137%
👌20.092%
👏20.092%
😢10.046%
🤗10.046%

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 136 of the 139 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 2,184 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 139 most recent posts we hold, published 4 August 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.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 36 posts held from the last 30 days (0%) 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, 14:01 UTC130 views2 reactionsread 13 November 2026
Photo

Девочки, продолжаем создавать зимнее настроение с помощью уютных хобби🧩👩🏻‍🎨 Что может быть уютнее, чем потихоньку собирать пазл или раскрашивать картину по номерам, превращая холст в зимнюю сказку? ✨ Нашла для вас варианты на WB. Выбирайте по настроению🤍 🧩Пазл "Морозное утро" 👩🏻‍🎨Картина по номерам "Дом в лесу" 🧩Пазл "Девочка с котиком" 👩🏻‍🎨Картина по номерам "Зима в России" 🧩Пазл "Долгожданные подарки" 👩🏻‍🎨К…

🔥2

13 Nov 2026, 08:00 UTC391 views13 reactionsread 13 November 2026
Photo

Девочки, признавайтесь — кто тоже любит носить платья даже тогда, когда градусник уже показывает минус? Осень плавно перетекает в зиму, и отказываться от женственных образов совсем не хочется. Главное — грамотно «утеплиться», чтобы и выглядеть стильно, и не замёрзнуть😌 Нашла для вас тёплые красивые платья, в которых не будет холодно: Белое пушистое Чёрное вязаное Шоколадное вязаное Серое с кружевом Бордовое тр…

❤8🔥5

12 Nov 2026, 14:40 UTC634 views13 reactionsread 13 November 2026
Photo

В такую погоду очень хочется укутаться в плед, налить какао и погрузиться в историю, где зима не просто фон, а почти отдельный герой❄️ Собрала для вас 6 книг, которые создают ту самую зимнюю атмосферу: «Рождественская песнь в прозе» Чарльза Диккенса. История про духов Рождества и то, как даже самое холодное сердце может оттаять. «Сияние» Стивена Кинга. Отель «Оверлук» отрезан от мира снежными заносами, и эта изоля…

❤7👍5🔥1

12 Nov 2026, 06:37 UTC738 views18 reactionsread 13 November 2026
Photo

Девочки, ловите образ на позднюю осень — тёплый и очень стильный😍 Коричнево‑бордовое сочетание — про глубину и благородство. Тёплые коричневые оттенки вместе с насыщенным бордовым создают тот самый «осенний» вайб, будто из уютного фильма. Вот, из чего состоит образ: Основа — коричневые вельветовые джинсы; В качестве верха — бордовый свитер; Коричневая парка станет главным акцентом; Секретные ингредиенты — бордовая…

❤18

11 Nov 2026, 12:22 UTC878 views13 reactionsread 13 November 2026
Photo

У нас уже был первый снег, а значит, самое время подобрать идеальную парку — в которой и мороз не страшен, и выглядишь на все сто😍 Продуманный утеплитель, водоотталкивающая пропитка и удобные детали — карманы, ветрозащитные планки, регулируемые капюшоны. То есть красота без жертв в пользу тепла🔥 Ссылочки для вас: • Первая • вторая • третья • четвёртая • пятая • шестая • Если добавили что-то в корзину — оставляйте…

❤9🔥4

11 Nov 2026, 06:21 UTC826 views18 reactionsread 13 November 2026
Photo

Девочки, увидела такое у подруги и очень хочу поделиться с вами🫶🏻 Наступили холода, и всё чаще хочется укутаться в тёплый плед и не вылезать из него. Но давайте честно — ходить с замотанным пледом не очень удобно😅 А тут — плед… с рукавами😍 Это же новый уровень комфорта — можно и чашку горячего чая спокойно держать, и по дому ходить, и даже на диване кино смотреть, оставаясь в тепле. Я нашла для вас варианты в раз…

❤13🔥5

10 Nov 2026, 13:21 UTC895 views15 reactionsread 13 November 2026
Photo

Девочки, увидела в комментариях запрос на мужские парки, поэтому собрала для вас эту подборку😍 Парка не требует сложных сочетаний, она сама по себе задаёт нужный тон — спокойный и практичный. У большинства моделей есть ветрозащитная планка, утяжки на капюшоне и по низу, глубокие карманы, куда легко положить перчатки или телефон. А подкладка из флиса или утеплённого материала — отличный вариант для предстоящих мороз…

❤15

10 Nov 2026, 05:21 UTC884 views17 reactionsread 12 November 2026
Photo

❄️ Утепляемся к зиме. Вещи, которые сделают холода уютными ❄️ Кажется, уже самое время собрать «тёплый арсенал»😁 🥶Термобельё — 1792₽ 🥶Тёплые носки — 441₽ 🥶Тёплые варежки — 467₽ 🥶Плотный снуд — 966₽ 🥶Утеплённая шапка — 965₽ 🥶Тёплая верхняя одежда — 10010₽ Оставляйте реакции, если подборка была полезной 🤍

❤17

9 Nov 2026, 12:45 UTC827 views39 reactionsread 11 November 2026
Photo

Давайте полюбуемся парками — в них столько уюта и стиля😍 Осень и зима — отличное время для этих незаменимых вещей. В них ничего не сковывает движения, при этом всё продумано до мелочей — удобные карманы, надёжная фурнитура, плотная подкладка. Парка и от непогоды защищает, и образ завершает. Можно накинуть её поверх свитера, платья или даже костюма — и каждый раз получится что-то интересное🥰 Оставляйте реакции, ес…

🔥32💯4❤‍🔥3

9 Nov 2026, 06:44 UTC883 views13 reactionsread 11 November 2026
Photo

Вязаные панамы на осень и зиму🤍 Подобрала панамки, которые будут вас согревать не только осенью, но и прохладной зимой: Первая — 2800₽ Вторая — 1754₽ Третья — 1982₽ Четвёртая — 2115₽ Пятая — 850₽ Шестая — 752₽ Пусть эта подборка станет поводом добавить в образ что-то по-настоящему уютное🥰

🔥13

8 Nov 2026, 15:37 UTC872 views8 reactionsread 10 November 2026
Photo

Девочки, сегодня распаковка из «Золотого Яблока»💚 Думаю, вы тоже любите распаковывать фирменную зелёную коробочку и рассматривать каждое средство, как будто не знаете, что там внутри😅 Вот, что я заказала: 💚Точечный консилер YADAH anti-t red zero 💚Карандаш для глаз FOR ME BY GOLD APPLE eyeliner 💚Сыворотка-блеск для губ CLIO glaze 💚Стик для контуринга ANDPLUS sculpt 💚Палетка кремовых румян ANASTASIA BEVERLY HILLS ma…

❤4🔥4

8 Nov 2026, 07:03 UTC755 views7 reactionsread 9 November 2026
Photo

Я обожаю украшать всё вокруг наклейками — телефон, ноутбук, бутылки для воды, даже баночки для специй. В этот раз заказала металлические, и они оказались прямо находкой. Они смотрятся дороже, чем стоят, и совсем не выглядят «детскими». Гладкие, с красивым бликом, хорошо держатся и не боятся влаги на кухонных баночках. 🤍Серебристые бантики 🤍Значок BMW 🤍Золотая пантера 🤍Золотистые "Соль" и "Сахар" 🤍Золотистые оду…

❤7

Showing the 12 most recent of 139 posts we hold for @PODBORKI_PLUS_SIZE. 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.

Mentions

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.

Стилист для Плюс сайз
@stylist_plus_size · 21,828
#1
В час по чайной ложке
@PODBORKI_MEDIUM_SIZE · 10,169
#2
СТИЛИСТ ПЛЮС САЙЗ | МАРИНА КАМЕНСКАЯ
@kamenskaya_style · 9,303
#3
ЯНА БАКИРОВА | стиль и любовь к себе
@yana_bakirova · 28,673
#4
Переодела мужа
@stylist_for_man · 8,854
#5
яркое одевательство | стилист спб и онлайн
@sankt_peterstyle · 2,721
#6
Мода в капсуле | Образы | Стиль | Тренды
@shoppingfyou · 32,350
#7
Модный маркетолог
@moda_marketingg · 32,255
#8
Стилист Катя Гершуни
@gershuni · 20,478
#9
Культ одежды
@cultdress · 18,156
#10
Че по стилю?
@marusia_stile · 23,862
#11
Как говорит Энжи 💘
@angylisha · 5,229
#12
the girl who
@girl_who · 81,924
#13
модная кома
@modnayacoma · 26,145
#14
Blue Unicorn
@blueunicorn_ru · 32,973
#15
Marydressme
@marydressme · 9,400
#16
Диванная фея
@gde_chego · 4,433
#17
Раздетый стилист Лена Червова
@elennne_style · 99,418
#18
VIVIKTORI PLUS SIZE STYLE
@viiviiktorii · 8,424
#19
Шмотки и цацки
@shmotcacki · 10,723
#20
oy_katte | БОЛЬШЕ, ЧЕМ ЧАТ
@blsh_oy_katte · 4,339
#21
Смотри Праде в глаза
@wi_rich · 3,379
#22
Настя шла и нашла
@devochki_na · 48,345
#23
НАСТЯ КОМИССАРОВА | стиль
@nastasi_komissarova · 17,447
#24
Нарядный полушубок
@polushubock · 8,491
#25
eat.sleep.wear.
@eatsleepwear · 86,746
#26
Стилизуй это!
@glamguide · 10,367
#27
Binitra bini | плюс сайз
@binitra_bini · 5,312
#28
На уютном
@uyutsozon · 10,034
#29
Ирина | Зауютить 🕯
@casacozy · 30,563
#30
Ненудный нюд
@makeup_stories · 26,723
#31
Встала и пошла!
@vstalaipohla · 32,794
#32
Мама на колёсах 🧘🏽‍♀️Лиза Туманян
@mama_na_kolesa · 8,488
#33
Птичка не дремлет
@bird_doesnt_doze · 24,187
#34
Даша_худей печатает…
@dasha_hudey · 34,033
#35
Бегущая за трендами
@runtobuy · 15,437
#36
ПУТЕШЕСТВУЙ НЕ ОДИН 🌍 Авторские туры
@travelneveralone · 7,768
#37
HOMEASY - идеи для дома
@homeasy · 181,497
#38
Dasha Lebedeva ✨ макияж/косметика/бьюти/скидки
@lebedeva_dari_live · 24,316
#39

Read from Telegram’s recommendation API, most recently 18 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.

Стилист для Плюс сайз
@stylist_plus_size · 21,828
Telegram ranks this channel #1 of 47 here — alongside 46 others — read 21 September 2026
Romanova.blog
@allaRomonoVa · 88,971
Telegram ranks this channel #3 of 63 here — alongside 62 others — read 1 October 2026
ЯНА БАКИРОВА | стиль и любовь к себе
@yana_bakirova · 28,673
Telegram ranks this channel #6 of 60 here — alongside 59 others — read 8 September 2026
Стилист Катя Гершуни
@gershuni · 20,478
Telegram ranks this channel #7 of 36 here — alongside 35 others — read 26 September 2026
Blue Unicorn
@blueunicorn_ru · 32,973
Telegram ranks this channel #9 of 60 here — alongside 59 others — read 4 September 2026
Стилист Мария Милютина | Marimi
@marimi_stile · 29,081
Telegram ranks this channel #21 of 38 here — alongside 37 others — read 8 September 2026
Сокор по правде
@sockor_po_pravde · 60,379
Telegram ranks this channel #28 of 52 here — alongside 51 others — read 2 September 2026
Раздетый стилист Лена Червова
@elennne_style · 99,418
Telegram ranks this channel #34 of 69 here — alongside 68 others — read 15 August 2026
juliaodevaet
@Juliaodevaet · 33,296
Telegram ranks this channel #38 of 61 here — alongside 60 others — read 1 October 2026
Даша_худей печатает…
@dasha_hudey · 34,033
Telegram ranks this channel #43 of 52 here — alongside 51 others — read 3 September 2026
Уют по крупицам
@dom_krasota_ksu · 29,140
Telegram ranks this channel #63 of 69 here — alongside 68 others — read 8 September 2026
Elena_GoodFood
@elena_goodfood · 32,948
Telegram ranks this channel #81 of 85 here — alongside 84 others — read 4 September 2026

This channel appears in 12 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 11 November 2026 — this entry's latest reading, not the date you are reading this.

“Подборки от Романовской” (@PODBORKI_PLUS_SIZE), 22,774 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/PODBORKI_PLUS_SIZE.

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.