Local community — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 21 September 2026 and assigned it the closest of 31 fixed categories, at 56% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
7 measurements spanning 36 days, net +4. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 413–421 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Sept 2026, 07:56
418
-1
3 Sept 2026, 23:39
419
-1
28 Aug 2026, 02:49
420
+2
21 Aug 2026, 08:53
418
+2
14 Aug 2026, 20:35
416
+2
7 Aug 2026, 21:06
414
no change
6 Aug 2026, 22:03
414
first reading
Engagement
8 posts held, back to 12 August 2023 — 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 8 posts for this entry, the most recent from 2 September 2024. An engagement rate over an empty window would be a number about nothing.
Reaction mix
214 reactions across 8 posts, in 9 distinct kinds. The most used accounts for 61.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
132
61.7%
👍
33
15.4%
🔥
24
11.2%
❤🔥
17
7.94%
👏
3
1.40%
🎄
2
0.935%
🎅
1
0.467%
🤡
1
0.467%
🤮
1
0.467%
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 8 of the 8 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 214 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 8 most recent posts we hold, published 12 August 2023 to 2 September 2024, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Telegram Stars
Stars received
1
across the posts below
Posts paid on
1
of 8 we hold a reading for · 13%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ekaterinburgdev. 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 8 most recent posts we hold for this entry, published 12 August 2023 to 2 September 2024. 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.
Привет! Давно не рассказывали вам новостей — всё это время мы много и усердно работали над развитием Инфокарты. В сегодняшнем обновлении — авторский слой данных.
Уличное искусство — это неотъемлемая часть Екатеринбурга. Его так много, что Екб знают как столицу стрит-арта. Но сколько именно у нас стрит-арта и где он находится? Алексей Чудинов, автор телеграм-канала @streetartekb, собрал почти всё уличное искусство в …
Привет! Я Саша Чабин — один из фронтенд-разработчиков в Коде Екатеринбурга.
Совсем недавно я стал гостем 11-го выпуска подкаста «После работы», где я несколько раз упомянул наши проекты.
В подкасте я рассказал, что мною движет, когда после своей основной работы я иду преподавать, делать opensource и помогать активистам из Екатеринбурга.
Буду рад, если у вас найдется час и вы зацените!
https://t.me/poslerabot/137
…
Екатеринбуржцы из «Дизайн-кода» сделали простую, но очень замечательную вещь — собрали и опубликовали городские регламенты в одном месте: от дизайна адресных табличек до принципов проектирования улиц.
Всем советую посмотреть эти регламенты — у большинства городов страны ничего такого нет, потому что «а нафига?». Умные же города понимают, что без понятных и простых регламентов у них не будет стабильного качества прое…
Проект «Код Екатеринбурга» собрал на одном сайте все методички по работе с городской средой
Теперь на одном ресурсе можно найти новые стандарты адресных табличек, дизайн-код фасадов и вывесок в центре Екатеринбурга и другие руководства, которые пригодятся, например, предпринимателям. Раньше все методички были опубликованы только на сайте городской администрации, но найти их было непросто.
Подробнее читайте ниже 🔽
💚 Онлайн-руководства Екатеринбурга
— Подскажите, где найти методичку по новогоднему оформлению?
— Заходите на екатеринбург.рф, жмёте в меню на Деловая жизнь, там найдёте ссылку Градостроительство и землепользование, потом жмите на Градостроительство и там слева найдите ссылку Городская среда, чтобы попасть в раздел Рекреационные и общественные пространства. Там найдёте пдф. Всё просто!
У администрации Екатеринбурга…
Инфокарта победила в конкурсе «Креативный Екатеринбург» 🏆 Записали по этому поводу небольшой рассказ и анпакинг призов.
Приходите к нам улучшать цифровые сервисы для города: https://tally.so/r/wL9Vd1
Первые итоги после запуска Инфокарты
За неделю после запуска инфокарты Екатеринбурга мы получили много полезного фидбека: 101 корректировка данных и 15 предложений по улучшению сервиса. Спасибо вам за отзывы! Они помогут нам сделать карту удобнее и точнее, присылайте ещё.
Хотим отдельно рассказать про используемые данные и их точность, так как по ним получили и продолжаем получать больше всего фидбека. Мы используе…
Екатеринбуржцы из «Дизайн-кода» сделали очень приятную цифровую карту города с разными слоями: от возраста домов до детализации ДТП.
В будущем сюда хотят добавить новые слои данных, возможность показывать сразу несколько слоёв и многое другое.
В идеале такие площадки должны делать муниципалитеты, но тут это сделали сами горожане. Самое приятное, что проект полностью открытый, его можно дополнять или использовать дл…
❤22👍5
Signed Паша Омелёхин
Showing the 8 most recent of 8 posts we hold for @ekaterinburgdev. 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.
Forward network
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.
Mentions
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.
Cite this entry
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 12 September 2026 — this
entry's latest reading, not the date you are reading this.
“Код Екатеринбурга” (@ekaterinburgdev), 418 subscribers as measured 12 September 2026. Telegram Register, tgregister.com/channel/ekaterinburgdev.
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.
