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Channel
@urbanul
On this record: Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
619subscribers
+2 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001696099663 |
|---|---|
| Type | Channel |
| Username | @urbanul |
| Created | Between 1 December 2021 and 30 April 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 4 September 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 4 September 2026 |
| On Telegram | t.me/urbanul |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 4 Sept 2026, 01:36 | 619 | +1 |
| 15 Aug 2026, 07:42 | 618 | +1 |
| 6 Aug 2026, 17:46 | 617 | no change |
| 6 Aug 2026, 17:34 | 617 | first reading |
12 posts held, back to 5 May 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 12 posts for this entry, the most recent from 19 July 2026. An engagement rate over an empty window would be a number about nothing.
320 reactions across 12 posts, in 20 distinct kinds. The most used accounts for 19.1% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 61 | 19.1% | |
| custom 5440401431364381062 | 29 | 9.06% | |
| custom 6325790754543241229 | 27 | 8.44% | |
| ❤ | 26 | 8.13% | |
| 💯 | 25 | 7.81% | |
| 🔥 | 25 | 7.81% | |
| 😁 | 20 | 6.25% | |
| 🤣 | 19 | 5.94% | |
| custom 5429178965287782978 | 17 | 5.31% | |
| 😈 | 15 | 4.69% | |
| 👀 | 13 | 4.06% | |
| 🥴 | 11 | 3.44% | |
| 🗿 | 9 | 2.81% | |
| 💔 | 5 | 1.56% | |
| 🤬 | 5 | 1.56% | |
| 😢 | 4 | 1.25% | |
| 🏆 | 3 | 0.938% | |
| 💩 | 3 | 0.938% | |
| 😍 | 2 | 0.625% | |
| 🌚 | 1 | 0.313% |
Custom emoji. 3 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 12 of the 12 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 320 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 12 most recent posts we hold, published 5 May 2026 to 19 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.
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В июле 2016 в Ульяновске снимали одно ТВ-шоу, пересматривая выпуски которого интересно сравнить, каким город был 10 лет назад и какой сегодня. Например, наш белый дом ещё желтый(хотя казалось что он уже лет 15 белый) https://youtu.be/6X7uIbNFzw8?si=QwcW7jiQ4sgZlSdy Выпусков снято три, но прикреплю один(остальные можно найти у них дальше), в котором снялся сам 😁, в финале, с 17:21 За Волжск-Камск извините.
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Одна тройка для души Вторая любимая
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Москва — столица здоровья Сегодня пост вообще не об урбанистике, а о здоровье. Очень хочу рассказать об одном проекте, благодаря которому мне по омс прекрасно сделали операцию по выпрямлению перегородки носа(и конхотомию) в одной из лучших государственных клиник оториноларингологии. У меня уже давно были проблемы с дыханием, а в этом году решил что-то с этим делать. И решил, что у нас я это делать точно не буду по …
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«На-ду-ли» А как красиво и эстетично начиналось! И заявления интересные были: Основной акцент сделан на сохранении преемственности фасадных решений Все то подумали про ламели, про грани, про 80ые, а преемственность отразилась в замене аналоговых баннеров на один огромный цифровой. Вернее, на самый большой led-экран в стране, как они любят гордиться. Только вот второго таймс-сквер не получится(хотя и он не образец ко…
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Водоросли тоже надо стричь ☝️
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Ловите первые кадры движения ульяновского СИМАЗа. Очень стильно выглядит. Внутри стоит хорошая коробка и движок, находясь в салоне нет той зубодробилки, как например в МАЗ-206, очень спокойно, есть книлинг. Также не упомянул в предыдущих видеосообщениях, что в наших салонах будет 8 камер в связке с системой подсчёта пассажиров, валидаторы, 28 дюймовый экран для пассажиров, +пара улучшений по салону. С производствен…
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Video message, posted without a caption
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Video message, posted without a caption
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Video message, posted without a caption
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Шо то я не розумию….
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Впервые в Нижнем. Очень понравилось! Красивый ухоженный город с офигенными закатами, проводить которые приходят очень много людей даже в будни, а для них в свою очередь подготовлены лучшие зрительные места. Конечно же бросилась в глаза и организация дорожного движения. Минимум столбов, дополнительных светофоров(даже пешеходные не везде стоят, смотреть на автомобильные нужно, но это минус), красных фаз, когда у нас в…
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Showing the 12 most recent of 12 posts we hold for @urbanul. 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.
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.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 4 September 2026 — this entry's latest reading, not the date you are reading this.
“USMANOV URBANUL” (@urbanul), 619 subscribers as measured 4 September 2026. Telegram Register, tgregister.com/channel/urbanul.
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.