Channel
@sofit_models
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
133subscribers
-97 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1003759011324 |
|---|---|
| Type | Channel |
| Username | @sofit_models |
| Created | Between 1 February 2026 and 30 June 2026 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 29 August 2026 |
| Measurements held | 6 |
| Confirmed unchanged | 1 time, most recently 29 August 2026 |
| On Telegram | t.me/sofit_models |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 29 Aug 2026, 05:13 | 133 | +8 |
| 22 Aug 2026, 22:26 | 125 | +7 |
| 14 Aug 2026, 20:07 | 118 | -111 |
| 7 Aug 2026, 06:40 | 229 | -1 |
| 7 Aug 2026, 02:48 | 230 | no change |
| 6 Aug 2026, 21:04 | 230 | first reading |
13 posts held, back to 4 July 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 13 posts for this entry, the most recent from 4 August 2026. An engagement rate over an empty window would be a number about nothing.
60 reactions across 10 posts, in 5 distinct kinds. The most used accounts for 56.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 34 | 56.7% | |
| 🔥 | 14 | 23.3% | |
| ❤🔥 | 6 | 10.0% | |
| 🍓 | 3 | 5.00% | |
| 🥰 | 3 | 5.00% |
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 10 of the 13 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 60 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 13 most recent posts we hold, published 4 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.
Продолжаем погружаться в историю моды вместе с директором модельного агентства - Софи✨ 8 августа приглашаем Вас на третью часть нашей лекции «Культурный код моды. История модных домов». Погрузимся в историю великих брендов и узнаем, как создавались легенды, ставшие частью нашей мировой культуры. Это будет вечер эстетики, смыслов и вдохновения 🤍 📅 6 августа 🕞 18:00 📍 Гостиная 14 Вход свободный, но количество мест огр…
❤4🔥2🥰2❤🔥1
Немного видео с наших занятий в модельном агентстве 〰 Так интересно наблюдать за карьерным ростом наших моделей 〰〰
❤4🔥3🥰1
Video, posted without a caption
❤2
Channel name was changed to «Sofit Model Agency - модельное агентство»
Channel photo updated
Результаты первых двух недель просто космос: к нам уже пришло более 100 моделей! 🚀 Отбор продолжается, и мы всё еще ищем «тех самых». Мы знаем, что многие не успели к нам попасть. Исправляем это! 📢 ОФИЦИАЛЬНО: КАСТИНГ ПРОДЛЕН 🗓 2 августа в 19:00 📍 Советский проспект, 12 (студия 809, 8 этаж) Хочешь с нами? Ждем твое сообщение в Директ ❤️ Модельные агентства MICHAEL Model Management и SOFIT Model Agency объявляют набо…
❤12
📌Новая глава: SOFIT Model Agency в Санкт-Петербурге📌 Масштаб — это не только цифры, но и новые горизонты. Мы рады объявить, что наше агентство расширяет географию. Теперь, помимо Калининграда, мы официально базируемся в Северной столице.💫 Санкт-Петербург с его уникальной эстетикой и культурным кодом — идеальное место для продолжения нашей миссии✨️ Мы открываем новые возможности для моделей и брендов, объединяя опыт к…
🍓3❤1🔥1
Уже завтра кастинг 🔥
❤4🔥1
Открытые кастинги в Калининграде 2026 , Калининград, показы мод Video: @u_znal and @alexandr.sokolovski
Продолжаем расшифровывать ДНК стиля ✨ Мода — это не только про одежду, это язык, на котором говорят эпохи. 16 июля приглашаем вас на вторую часть нашей лекции «Культурный код моды. История модных домов». Погрузимся в историю великих брендов и узнаем, как создавались легенды, ставшие частью нашей мировой культуры. Это будет вечер эстетики, смыслов и вдохновения 🤍 📅 16 июля 🕞 18:00 📍 Гостиная 14 Вход свободный, но кол…
❤2
КАСТИНГ на показ мод Модельные агентства MICHAEL Model Management и SOFIT Model Agency объявляют набор новых лиц для участия в эксклюзивном модном показе. Требования: — Парни и девушки любого возраста; — Различные типажи (интересная, яркая или необычная внешность); — Опыт работы не обязателен (рассматриваем кандидатов без модельной подготовки). Информация о кастинге: 📅 Даты: 19 июля и 26 июля 🕖 Время: 19:00 📍 Адре…
❤4🔥1
Немного модной эстетики 🖤
🔥6
Showing the 12 most recent of 13 posts we hold for @sofit_models. 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Republishes
Channels on the register whose posts this channel has forwarded.
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.
Named by 3 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.
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.
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 29 August 2026 — this entry's latest reading, not the date you are reading this.
“Sofit Model Agency - модельное агентство” (@sofit_models), 133 subscribers as measured 29 August 2026. Telegram Register, tgregister.com/channel/sofit_models.
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.