Инна Комбарова
Главная модница телеграм💎
Самая стильная по версии журнала Voice Shopping
Вход в самый нужный чат модного комьюнити по рекомендации
Вопросы - @InnaKombarova 💆🏽♀️
http://mamkinamodnica.com/ - подробнее обо мне
https://max.ru/mamkina
Created
21 October 2018 — measured — cross-checked against a third-party dataset (ext.tg_channel)
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 20 August 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 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. 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 (1 of the pairs behind the counts below)
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
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. None of the 1 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 357 comparable posts for this entry, running 5 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).
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.
Growth
65 measurements spanning 99 days, net -471. 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 29,673–30,288 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)
Subscribers
Change
13 Nov 2026, 05:07
29,744
-34
10 Nov 2026, 19:21
29,778
-23
9 Nov 2026, 08:16
29,801
-20
7 Nov 2026, 22:48
29,821
-3
6 Nov 2026, 17:25
29,824
-6
5 Nov 2026, 20:40
29,830
-8
4 Nov 2026, 22:56
29,838
-8
3 Nov 2026, 23:51
29,846
-22
2 Nov 2026, 21:06
29,868
-5
1 Nov 2026, 22:06
29,873
-13
31 Oct 2026, 20:56
29,886
-12
30 Oct 2026, 17:50
29,898
-13
29 Oct 2026, 15:35
29,911
-1
28 Oct 2026, 14:56
29,912
-6
27 Oct 2026, 17:36
29,918
-1
26 Oct 2026, 16:31
29,919
-3
25 Oct 2026, 19:57
29,922
-5
24 Oct 2026, 17:39
29,927
-8
23 Oct 2026, 19:20
29,935
-16
22 Oct 2026, 20:09
29,951
first reading
Engagement
732 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 169 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
8.61%
avg views ÷ 29,744 subscribers
Avg views / post
2,560
256 posts measured
Reaction rate
0%
reactions ÷ views · ER floor
Posts in window
256
of 732 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. It is computed over the 1 of 256 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 13 November 2026
Posts held
732 (5 August 2026 – 13 November 2026)
Views total
655,803
Reactions total
0
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
14 Nov 2026, 00:08 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
≈60,900
Videos
≈13,800
Links
≈12,100
Lifetime counters from Telegram’s own channel header, read 14 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
2h 14m
Average length
29s
Measured directly from 282 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.
Telegram Stars
Stars received
3
across the posts below
Posts paid on
3
of 732 we hold a reading for · 0.4%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @mamkina. 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 732 most recent posts we hold for this entry, published 5 August 2026 to 13 November 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.
Recent posts
Telegram’s own ‘edited’ marker: 9 of 256 posts held from the last 30 days (3.52%) 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).
Админ Антиглянца по привычке выдает почетные отметки «Танцующий гость» Кате Минкевич и Ксении Чилингаровой на дне рождении Инны Комбаровой и ее мужа Димы. Сама именниница где-то бегает, завтра увидите, какая она красивая в Valentino. Не знаем, как там у Собчак, а тут душевно!
Что остаётся после вечеринки? Новая кампания Valentino Cruise 2026, созданная Алессандро Микеле, показывает утро после бурного вечера: разбитые бокалы, упавшие люстры и следы прошедшего праздника.
Утро субботы после посиделок с подружками:
Miu Miu напомнили про свои сапожки в смешанной эстетике верховой езды, мотокросса и походных ботинок. В коллекции есть модели до колена и укороченные варианты из состаренной кожи и замши.
Пару лет назад все накупили себе их модель с ремнями по 3 тысячи долларов. Я не исключение и это самое носибельное мое обувное приобретение.
Время для баночки для анализов от Богема Ленинград с серебряной крышкой и ложечкой за 94 тысячи рублей
Showing the 12 most recent of 732 posts we hold for @mamkina. 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.
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 29 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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 7 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.
EvelinaFashionSchool @EvelinaFashionSchool · 86,272 Telegram ranks this channel #6 of 94 here — alongside 93 others — read 19 August 2026
VOGUE-religion @religion_vogue · 23,503 Telegram ranks this channel #8 of 90 here — alongside 89 others — read 13 September 2026
Already Famous @alreadyfamous · 26,080 Telegram ranks this channel #8 of 81 here — alongside 80 others — read 12 September 2026
Луис Иванович @LIVfashionmag · 206,317 Telegram ranks this channel #8 of 90 here — alongside 89 others — read 11 August 2026
ШМОТ @zashmot · 105,426 Telegram ranks this channel #19 of 85 here — alongside 84 others — read 15 August 2026
Fresh Fashion @fashion · 131,572 Telegram ranks this channel #19 of 89 here — alongside 88 others — read 13 August 2026
Московская неделя моды @mosfweek · 22,313 Telegram ranks this channel #20 of 85 here — alongside 84 others — read 22 September 2026
Модные хроники Злой Киски @zlayakiska · 75,212 Telegram ranks this channel #21 of 88 here — alongside 87 others — read 20 August 2026
Drunk_fashion @drunkfashion · 40,061 Telegram ranks this channel #22 of 89 here — alongside 88 others — read 30 August 2026
World Fashion Channel @wfcru · 25,618 Telegram ranks this channel #24 of 86 here — alongside 85 others — read 12 September 2026
Будни Гальяно @budnigalliano · 27,776 Telegram ranks this channel #24 of 89 here — alongside 88 others — read 10 September 2026
MUR @fashion_mur · 205,098 Telegram ranks this channel #26 of 92 here — alongside 91 others — read 11 August 2026
Сделай лицо попроще @straightface · 21,148 Telegram ranks this channel #29 of 87 here — alongside 86 others — read 24 September 2026
МУД @okeymood · 35,656 Telegram ranks this channel #31 of 88 here — alongside 87 others — read 2 September 2026
Style @style · 154,770 Telegram ranks this channel #32 of 88 here — alongside 87 others — read 12 August 2026
ROGOV @rogov24 · 184,474 Telegram ranks this channel #34 of 82 here — alongside 81 others — read 11 August 2026
Чувства Wearующих @wearfeelings · 69,543 Telegram ranks this channel #35 of 78 here — alongside 77 others — read 20 August 2026
A L E K Ó @aleko_n17 · 102,014 Telegram ranks this channel #35 of 88 here — alongside 87 others — read 15 August 2026
МиссТелеграм | @Ms_krasota · 62,726 Telegram ranks this channel #37 of 92 here — alongside 91 others — read 21 August 2026
Журнал о знаменитых людях @hello_mag · 18,622 Telegram ranks this channel #39 of 94 here — alongside 93 others — read 5 October 2026
Mukhins @mukhinss · 54,316 Telegram ranks this channel #39 of 92 here — alongside 91 others — read 23 August 2026
KM20 @km20conceptstore · 20,993 Telegram ranks this channel #40 of 73 here — alongside 72 others — read 24 September 2026
BURO. @Buro247_ru · 25,433 Telegram ranks this channel #40 of 90 here — alongside 89 others — read 13 September 2026
Дьявол носит H&M @devilwearshandm · 71,811 Telegram ranks this channel #43 of 81 here — alongside 80 others — read 19 August 2026
This channel appears in 72 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 13 November 2026 — this
entry's latest reading, not the date you are reading this.
“Мамкина модница” (@mamkina), 29,744 subscribers as measured 13 November 2026. Telegram Register, tgregister.com/channel/mamkina.
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.