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Channel
@RusTransitAuto
On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Posts edited after publishing · Citations · Cite this entry
37,174subscribers
-272 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
| Telegram ID | -1002433512544 |
|---|---|
| Type | Channel |
| Username | @RusTransitAuto |
| Description | АВТОМОБИЛИ из Кореи, Китая, Японии и Европы под ключ.™️ 🔹По договору без переплат 🔹Для физ. и юр.лиц. с гарантией. ✅+78122105445 ✅ Ул. Шоссейная, 50А/1, Янино-1, ЛО. Сайт - https://rustransit.pro Подбор авто - @rustransit_manager_bot |
| Created | Between 1 September 2024 and 31 March 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 17 August 2026 |
| Measurements held | 12 |
| Confirmed unchanged | 1 time, most recently 17 August 2026 |
| On Telegram | t.me/RusTransitAuto |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Aug 2026, 23:15 | 37,174 | -22 |
| 16 Aug 2026, 20:58 | 37,196 | -40 |
| 15 Aug 2026, 12:46 | 37,236 | -36 |
| 14 Aug 2026, 04:07 | 37,272 | -32 |
| 12 Aug 2026, 22:17 | 37,304 | -26 |
| 12 Aug 2026, 01:12 | 37,330 | -33 |
| 11 Aug 2026, 02:19 | 37,363 | -19 |
| 10 Aug 2026, 03:56 | 37,382 | -25 |
| 9 Aug 2026, 06:45 | 37,407 | -27 |
| 8 Aug 2026, 04:16 | 37,434 | -12 |
| 7 Aug 2026, 16:30 | 37,446 | no change |
| 7 Aug 2026, 16:27 | 37,446 | first reading |
58 posts held, back to 6 August 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 24 pagesof Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 17 August 2026 |
|---|---|
| Posts held | 58 (6 August 2026 – 17 August 2026) |
| Views total | 293,180 |
| Reactions total | 4,327 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 18 Aug 2026, 00:30 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.
Lifetime counters from Telegram’s own channel header, read 18 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Measured directly from 18 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.
4,327 reactions across 58 posts, in 29 distinct kinds. The most used accounts for 14.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 632 | 14.6% | |
| ❤ | 586 | 13.5% | |
| 👍 | 531 | 12.3% | |
| 🥰 | 520 | 12.0% | |
| 🤩 | 468 | 10.8% | |
| 💯 | 375 | 8.67% | |
| ❤🔥 | 359 | 8.30% | |
| 🎉 | 353 | 8.16% | |
| 😍 | 305 | 7.05% | |
| 🆒 | 44 | 1.02% | |
| 🏆 | 27 | 0.624% | |
| 🤝 | 23 | 0.532% | |
| 👌 | 18 | 0.416% | |
| 👏 | 18 | 0.416% | |
| 🐳 | 13 | 0.3% | |
| 😁 | 12 | 0.277% | |
| 🕊 | 9 | 0.208% | |
| ✍ | 5 | 0.116% | |
| 💘 | 5 | 0.116% | |
| 🫡 | 4 | 0.092% | |
| 9 further kinds | 20 | 0.462% |
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 58 of the 58 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 4,327reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 58 most recent posts we hold, published 6 August 2026 to 17 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.
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @RusTransitAuto. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 58 most recent posts we hold for this entry, published 6 August 2026 to 17 August 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Video message, posted without a caption
🥰22👍12🔥11🤩7👌5❤4
Один тест-драйв может полностью изменить ваше решение! Можно долго сравнивать характеристики, смотреть фотографии и читать отзывы. Но иногда достаточно нескольких минут за рулём, чтобы понять: автомобиль, который нравился, вам совсем не подходит. Или наоборот - модель, которую вы даже не рассматривали, оказывается именно «вашей». В нашем тестовом парке уже доступны 8 автомобилей с разным характером: 🚘Volkswagen G…
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Новый Volkswagen Tiguan L Pro 2026 уже в нашем новом обзоре 🔥 В видео подробно осмотрели его снаружи и внутри, проверили простор салона, оценили три экрана, панорамную крышу, музыку Harman Kardon и протестировали автомобиль в движении 😎 А итоговая стоимость автомобиля под ключ оказалась значительно ниже, чем предположили ведущие. Какая именно - рассказываем в конце видео! Смотрите обзор и делитесь впечатлениями: в…
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Доступен к покупке на аукционе из Японии 🇯🇵 🚘 Бренд: MERCEDES BENZ Модель: G CLASS, 5D 4WD G400D AMG LINE 🗓Сроки доставки: 1,5 - 2 месяца ✈️ Готов к отправке в Ваш город! 🛠Характеристики автомобиля: • Год выпуска: 2022 • Пробег: 54 000 км • Двигатель: 3.0 л / 340 л.с. • Привод: Полный 💰Стоимость автомобиля под ключ с оформлением на ф\л в Санкт-Петербурге: 12 449 000 ₽ ⬇️Другие hot 🔥предложения #автоподбор@ru…
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Выкупили Volkswagen Tiguan L Pro! • Страна: Кыргызстан • Модель: Volkswagen Tiguan L Pro • Год выпуска: 2026 • Состояние: новый, без пробега Автомобиль отправляется к новой владелице Екатерине в Санкт-Петербург! #автоподбор@rustransitauto Хотите заказать автомобиль? Свяжитесь с нами - подберем подходящий вариант и рассчитаем стоимость! 💬+7(812) 210-54-45 ✏️ Написать в Директ 🌐 Наш сайт 🗺Санкт-Петербург, Старорус…
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ЧТО БЫЛО НА ЭТОЙ НЕДЕЛЕ? 🤩ЗАКАЗЫ КЛИЕНТОВ: • Привезли Volkswagen Tayron • Mercedes-Benz уже дома! • Привезли Audi A3 • Выиграли на аукционе в Японии Honda Stepwgn Spada с Honda Sensing • Забронировали Volkswagen Bora 🤩ДОСТУПНЫ К ПОКУПКЕ • Porsche Cayenne 2024 года • MINI Cooper 2023 года • Mercedes-Benz CLE 200 2025 года • Подборка Mercedes-Benz под разные бюджеты • Подборка Kia до 160 л.с. 🤩НОВЫЕ ВИДЕО И ОБЗОРЫ •…
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Забронировали Volkswagen Bora! • Страна: Китай • Модель: Volkswagen Bora • Год выпуска: апрель 2023 • Пробег: 26 200 км • Двигатель: 1.2 TSI, 116 л.с., бензин • Коробка: автомат • Привод: передний • Оригинальная краска • Комплектация: Yuexing PRO 💰 Цена под ключ в Санкт-Петербург составила 1 650 000 ₽ Автомобиль отправляется к Анне в Санкт-Петербург 🚗 #автоподбор@rustransitauto Хотите заказать автомобиль? Свяжит…
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Доступен к покупке из Кореи🇰🇷 🚘 Бренд: Porsche Модель: Macan EV 4S 🗓Сроки доставки: 1,5 - 2 месяца ✈️ Готов к отправке в Ваш город! 🛠Характеристики автомобиля: • Год выпуска: 2025 • Пробег: 1 270 км • Двигатель: Electric 380 кВт (516 л.с.) • Привод: Полный 💰Стоимость автомобиля под ключ с оформлением на ф\л в г. Петербурге: 13 888 527 ₽ ⬇️Другие hot 🔥предложения #автоподбор@rustransitauto 📌Из-за волатил…
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Showing the 12 most recent of 58 posts we hold for @RusTransitAuto. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
@RusTransitAuto edited 2 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
Citation-graph rank — 1,534,711 of 1,548,671entries 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.
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.
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.
“Русский Транзит - авто под заказ” (@RusTransitAuto), 37,174 subscribers as measured 17 August 2026. Telegram Register, tgregister.com/channel/RusTransitAuto.
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.