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Channel

Amitile | Столовый текстиль

@amitile_linen

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

1,153subscribers

-68 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1002131320901
TypeChannel
Username@amitile_linen
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 live13 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/amitile_linen

Growth

1,1531,2211,1877 August 2026 — 1,221 subscribers8 August 2026 — 1,217 subscribers10 August 2026 — 1,186 subscribers13 August 2026 — 1,153 subscribers7 August 202613 August 2026
4 measurements spanning 6 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 1,143–1,231 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 07:451,153-33
10 Aug 2026, 17:551,186-31
8 Aug 2026, 01:061,217-4
7 Aug 2026, 11:471,221first reading

Engagement

8 posts held, back to 15 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
11.3%
avg views ÷ 1,153 subscribers
Avg views / post
130
7 posts measured
Reaction rate
7.26%
reactions ÷ views · ER floor
Posts in window
7
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
WindowRolling 30 days · latest post in window 4 August 2026
Posts held8 (15 July 20264 August 2026)
Views total909
Reactions total66
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 11:47 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.

Reaction mix

73 reactions across 8 posts, in 4 distinct kinds. The most used accounts for 57.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
4257.5%
🥰2635.6%
34.11%
👍22.74%

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 73reactions 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 15 July 2026 to 4 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.

Recent posts

4 Aug 2026, 14:28 UTC72 views7 reactionsread 7 August 2026
Video

Летняя сервировка для вечера вдвоём — нежная, элегантная и наполненная романтичным настроением. Сочетание белого, розового и глубокого бордового оттенков создаёт идеальное настроение для свидания. Центральным элементом композиции стали плейсматы «Жозефина» с выразительной вышивкой. Их дизайн вдохновлён Жозефиной Богарне — первой супругой Наполеона, чей утончённый вкус и чувство прекрасного сделали её одной из самых

5🥰2

2 Aug 2026, 10:03 UTC89 views7 reactionsread 7 August 2026
Photo

Сервировка завтрака — то, с чего начинается настроение всего дня. Для этого классического образа мы выбрали коллекцию «Жемчуг». Её дизайн был вдохновлен стилем Коко Шанель и её знаменитой цитатой — «Жемчуг всегда прав». Тонкая, напоминающая нити жемчужных бус, вышивка на белоснежном льне делает сервировку особенно утонченной и по-французски элегантной. На фото: Плейсмат, салфетка и салфетка в хлебную корзинку «Жемч

4🥰3

27 Jul 2026, 12:31 UTC131 views11 reactionsread 7 August 2026
Video

Летний сезон вдохновляет на смелые цветовые сочетания и новые идеи для сервировки. В этом видео основательница Amitile Анна Морозова рассказывает, какие оттенки столового текстиля особенно актуальны этим летом и как выбрать те, которые подойдут именно вам. В КАТАЛОГ 💌Для заказа — Telegram

9🥰2

24 Jul 2026, 12:53 UTC141 views6 reactionsread 7 August 2026
Video

Светлые оттенки текстиля и нежные цветочные мотивы в декоре — идеальный выбор для красивого летнего ужина под открытым небом. В этой сервировке мы использовали мягкое сочетание лилового и белого. Скатерть «Колетт», плейсматы «Сабин де Барра» и салфетки «Цветок» с вышивкой в пастельных оттенках создают романтичный образ, в котором каждая деталь выглядит лёгкой и естественной. 💌Для заказа — Telegram Посуда ЦУМ Home

🥰3👍21

22 Jul 2026, 12:48 UTC148 views12 reactionsread 7 August 2026
Photo

Летний завтрак — это особый ритуал, когда хочется никуда не спешить и наслаждаться красотой каждого момента. Для этой сервировки мы выбрали коллекцию «Версаль», вдохновленную одним из главных символов французской культуры. Построенный в XVII веке как резиденция французских королей, Версальский дворец стал воплощением изысканной архитектуры, искусства и французского art de vivre. Белоснежный текстиль с изящным вензе

🥰75

20 Jul 2026, 12:27 UTC149 views14 reactionsread 7 August 2026
Video

Думаете, для разных сервировок нужен не один, а несколько сервизов? На самом деле нередко достаточно просто изменить текстиль и декор. В этом видео основательница Amitile Анна Морозова показывает пять совершенно разных образов стола с белой посудой — базой, которая есть в каждом доме. Сохраняйте для вдохновения🤍 В КАТАЛОГ 💌Для заказа — Telegram

7🥰43

18 Jul 2026, 13:15 UTC179 views9 reactionsread 7 August 2026
Photo

Один из самых узнаваемых летних мотивов родом из Франции — это клетка виши. Именно она вдохновила нас на создание плейсматов «Брижит Бардо». Клетка виши (фр. vichy carreaux) получила своё название в честь французского города Виши. Изначально этот узор использовался для домашнего текстиля, а мировую известность приобрёл в середине XX века, став символом французской загородной жизни. Особую популярность ему принесла Б

6🥰3

15 Jul 2026, 15:28 UTC175 views7 reactionsread 7 August 2026
Photo

Морская палитра оттенков ассоциируется со свежестью, спокойствием и безмятежностью летних дней. Именно этим настроением была вдохновлена наша новая коллекция плейсматов и салфеток. Белоснежный и нежно-голубой текстиль с деликатной вышивкой создают лёгкий, утончённый образ с изящными морскими акцентами. На фото: • Плейсмат «Луиза» • Морская коллекция салфеток 💌Для заказа — Telegram

5🥰2

Showing the 8 most recent of 8 posts we hold for @amitile_linen. 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 — 1,106,897 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.

Mentions

Named by 1 registered channel — 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.

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.

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 August 2026 — this entry's latest reading, not the date you are reading this.

“Amitile | Столовый текстиль” (@amitile_linen), 1,153 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/amitile_linen.

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.