Всем добрый вечер, хотели с вами поделиться , основательница Лилия не только создает одежду , у нее есть хобби, она обожает готовить и сервировать столы. Она начала проводить мастер классны по приготовлению еды 🤍
❤5

Channel
@lilisabbi
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Cite this entry
236subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002585282240 |
|---|---|
| Type | Channel |
| Username | @lilisabbi |
| Created | Between 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 8 August 2026 |
| Last confirmed live | 28 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 28 August 2026 |
| On Telegram | t.me/lilisabbi |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 28 Aug 2026, 22:46 | 236 | -1 |
| 22 Aug 2026, 10:24 | 237 | +1 |
| 8 Aug 2026, 10:01 | 236 | no change |
| 7 Aug 2026, 18:38 | 236 | first reading |
8 posts held, back to 20 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 1 pageof Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 8 posts for this entry, the most recent from 17 July 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 3 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.
20 reactions across 6 posts, in 3 distinct kinds. The most used accounts for 55.0% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 11 | 55.0% | |
| 🔥 | 5 | 25.0% | |
| ❤🔥 | 4 | 20.0% |
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 6 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 20reactions 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 20 June 2026 to 17 July 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.
Всем добрый вечер, хотели с вами поделиться , основательница Лилия не только создает одежду , у нее есть хобби, она обожает готовить и сервировать столы. Она начала проводить мастер классны по приготовлению еды 🤍
❤5
Невероятная и стильная Екатерина в Санкт - Петербурге в шелковой юбке.
❤4
Photo, posted without a caption
🔥2
Photo, posted without a caption
В том году пришла ткань из Италии, я понимала , что она ждет своего часа, тк не вписалась в мой бренд. Ты дождалась своего часа , и я создала костюм для своего сына . Он называется «любовь мамы». Костюмы уже в продаже на рост 104 и 110.
Льняные рубашки Loro Piana — это тихая роскошь в ее лучшем проявлении. Максимальный комфорт, благородный лен и безупречный крой делают их базовой вещью, которая никогда не выходит из моды.
❤2
Платье из трикотажного полотна прямого, выверенного силуэта с деликатным разрезом — воплощение современного минимализма и утончённой простоты. Лаконичный крой мягко подчеркивает фигуру, сохраняя ощущение лёгкости и свободы движения, а благородная фактура ткани добавляет образу глубину и тактильную выразительность. Идеально вписывается в городскую среду и расслабленный формат отдыха, легко адаптируясь под разное настр…
❤🔥4
Lilia Sabbi — это камерный бренд, где эстетика перекликается с шиком. Здесь каждое изделие создаётся вручную, и каждый шов воспринимается как штрих художника на холсте. В этих вещах чувствуется не только мастерство, но и характер — тонкая работа с формой, фактурой и настроением, где важна не массовость, а индивидуальность и дыхание автора.
🔥3
Showing the 8 most recent of 8 posts we hold for @lilisabbi. 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.
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 28 August 2026 — this entry's latest reading, not the date you are reading this.
“Lilia Sabbi” (@lilisabbi), 236 subscribers as measured 28 August 2026. Telegram Register, tgregister.com/channel/lilisabbi.
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.