Channel
@lavka_media
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
112subscribers
-1 since we began measuring on 9 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002990545039 |
|---|---|
| Type | Channel |
| Username | @lavka_media |
| Created | Between 1 August 2025 and 31 October 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 17 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 17 August 2026 |
| On Telegram | t.me/lavka_media |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Aug 2026, 12:43 | 112 | -1 |
| 10 Aug 2026, 12:36 | 113 | no change |
| 9 Aug 2026, 23:15 | 113 | first reading |
4 posts held, back to 28 March 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 4 posts for this entry, the most recent from 1 June 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 2 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.
62 reactions across 4 posts, in 6 distinct kinds. The most used accounts for 43.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 27 | 43.5% | |
| 👏 | 13 | 21.0% | |
| ❤ | 9 | 14.5% | |
| ❤🔥 | 6 | 9.68% | |
| 🥰 | 5 | 8.06% | |
| 👍 | 2 | 3.23% |
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 4 of the 4 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 62reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 4 most recent posts we hold, published 28 March 2026 to 1 June 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.
📱 Ура! Запись 2-й шоу-дискуссии «Супружеская бизность» уже в сети! Те, кто был с нами в зале, помнят эту невероятную атмосферу, откровенные истории и живые выводы из личного опыта бизнес-пар. Те, кто очень хотел, но не смог прийти — вы наконец-то можете увидеть все своими глазами! Три потрясающие бизнес-пары Ярославля откровенно рассказали о том, что обычно остается за кадром: ◾️ Конуркины Александр и Евгения сеть…
🔥9👏4👍2
📱 Встречайте видеотчет с прошедшей шоу-дискуссии «Супружеская бизность» #2 На сцене вновь одновременно были три ярославские пары, чьи проекты на протяжении многих лет являются частью бизнес-культуры нашего города: ◾️ Конуркины Александр и Евгения сеть ресторанов Pinta Family: Брюгге, Союз писателей, Хмель & Гриль, Пинта, La Gatta Nera ◾️ Воронцовы Егор и Наталия интернет-магазин профкосметики Smartсosmet, производ…
❤🔥6🔥4❤3👏1
📸 Фото с шоу-дискуссии готовы! Тот самый вечер, к которому хочется возвращаться теперь и в кадрах. Эмоции, реакции, живые диалоги, поддержка в зале — всё, что удалось поймать (и даже больше), уже можно посмотреть 💔 Фото доступны по ссылке: https://antonovphoto.wfolio.pro/disk/supruzheskaya-biznost-2-v6qsrh Листайте, ищите себя, сохраняйте и делитесь — нам будет очень приятно, если отметите нас @lavka_media🤍
❤6🔥6👏1
🔝Продолжаем подводить итоги прошедшей шоу-дискуссии Этот вечер объединил сильные истории, честные разговоры и людей, которые создают ценность вместе в бизнесе и в жизни. И, конечно, он не был бы таким без наших партнёров 💔 В финале мы разыграли подарки среди участников — и это стало красивым завершением вечера: 🎁 Стильный мерч и пряничный домик от генерального партнера ЖК Ботаника 🎁 Золотой кулон 585 пробы от юве…
🔥8👏7🥰5
Showing the 4 most recent of 4 posts we hold for @lavka_media. 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 — 649,491 of 1,480,975entries 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.
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.
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 17 August 2026 — this entry's latest reading, not the date you are reading this.
“Супружеская бизность | 26 марта 18:00” (@lavka_media), 112 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/lavka_media.
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.