Channel
@liliainshakova
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
98subscribers
+3 since we began measuring on 8 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002106744523 |
|---|---|
| Type | Channel |
| Username | @liliainshakova |
| Created | Between 1 November 2023 and 31 May 2024 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 16 September 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 16 September 2026 |
| On Telegram | t.me/liliainshakova |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 16 Sept 2026, 04:39 | 98 | +2 |
| 8 Sept 2026, 19:00 | 96 | +1 |
| 30 Aug 2026, 19:46 | 95 | +1 |
| 16 Aug 2026, 14:48 | 94 | -1 |
| 9 Aug 2026, 12:47 | 95 | no change |
| 8 Aug 2026, 08:05 | 95 | first reading |
5 posts held, back to 23 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 page of 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 5 posts for this entry, the most recent from 31 July 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 1 video 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.
82 reactions across 5 posts, in 6 distinct kinds. The most used accounts for 35.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| custom 5470066706053352836 | 29 | 35.4% | |
| ❤🔥 | 24 | 29.3% | |
| custom 4981223011710403907 | 21 | 25.6% | |
| custom 5416030730364932159 | 5 | 6.10% | |
| custom 5370620891547844671 | 2 | 2.44% | |
| custom 5370684624567550682 | 1 | 1.22% |
Custom emoji. 5 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them are Telegram’s.
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 5 of the 5 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 82 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 5 most recent posts we hold, published 23 June 2026 to 31 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.
Неожиданно неформальный пост. Один из дней пленэра и мой первый в жизни монтаж. В конце листаю скетчбук.
❤🔥7custom 54700667060533528366custom 49812230117104039075custom 53706208915478446712custom 54160307303649321591
Первая за последние три года моя пленэрная практика. И первая — в плане конструктивного подхода. Прежде дело ограничивалось папоротниками, скверами, мелкой живностью. А тут — раз, и за неделю стопка разворотов с аналитическим рисунком зданий. Что входит в пленэр школы СЕТКА: 🤍Более 20 локаций за 15 дней 🤍Помощь и профессиональная консультация в графической подаче и аналитическом скетчинге 🤍Возможность познакомиться …
custom 547006670605335283611custom 49812230117104039076❤🔥4
Дар аль-Фунун Абу-Даби. (Илл. 1-3) Ушедшая не до конца эпоха. Фрэнк Гери На острове Саадият началось строительство Дар аль-Фунун Абу-Даби — центра исполнительских искусств, спроектированного Фрэнком Гери перед его смертью в декабре 2025 года. Проект стал одним из последних завершённых замыслов архитектора. (Правда, как ни старалась, не смогла найти планов или хотя бы парочки разрезов.) Волнообразный, напоминающий с…
❤🔥4custom 49812230117104039073custom 53706846245675506821custom 54700667060533528361
Не-место Или как смотреть Backrooms «Не-место» (non-lieux) — пространство без идентичности, где человек проходит транзитом, «насквозь», не оставляя следа. Никто вас не знает, вы — просто функция (пассажир, покупатель, клиент). Идентичность здесь подтверждается только документами — паспортом или, например, посадочным талоном. Так писал философ Марк Оже про аэропорты, торговые центры, офисные коридоры в своей концепци…
custom 49812230117104039077❤🔥6custom 54700667060533528366
Хеммесцентрум University of Westminster - Marylebone Postgraduate Suite The Hemmescentrum от ds16westminster и Анны Каминьской — это гибридное здание на полуострове Де-Хеммес в Зандаме, объединяющее центр переработки какаовелл¹ и общественное пространство. Здесь отходы шоколадного производства превращаются в ресурс, а промышленная площадка — в место, где рождаются новые связи и совместные экологические инициативы. …
custom 54700667060533528365custom 54160307303649321594❤🔥3
Showing the 5 most recent of 5 posts we hold for @liliainshakova. 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.
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.
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.
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 16 September 2026 — this entry's latest reading, not the date you are reading this.
“AILIBY” (@liliainshakova), 98 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/liliainshakova.
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.