Job listings — 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 12 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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 the other topics.
Growth
25 measurements spanning 90 days, net +395. 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 5,381–5,894 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 25
Measured (UTC)
Subscribers
Change
5 Nov 2026, 08:49
5,835
+9
2 Nov 2026, 15:55
5,826
+9
27 Oct 2026, 14:06
5,817
+9
24 Oct 2026, 12:27
5,808
+1
21 Oct 2026, 17:29
5,807
+8
18 Oct 2026, 14:49
5,799
+1
16 Oct 2026, 00:58
5,798
+6
13 Oct 2026, 09:20
5,792
+19
7 Oct 2026, 02:21
5,773
+20
29 Sept 2026, 22:00
5,753
+22
19 Sept 2026, 12:58
5,731
+21
15 Sept 2026, 08:58
5,710
+19
11 Sept 2026, 11:58
5,691
+25
7 Sept 2026, 04:15
5,666
+47
2 Sept 2026, 06:44
5,619
+40
30 Aug 2026, 21:42
5,579
no change
30 Aug 2026, 15:28
5,579
+16
27 Aug 2026, 06:34
5,563
+13
24 Aug 2026, 16:16
5,550
+16
20 Aug 2026, 23:48
5,534
first reading
Engagement
20 posts held, back to 2 September 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.
ERR · 30 days
24.8%
avg views ÷ 5,835 subscribers
Avg views / post
1,450
10 posts measured
Reaction rate
0.678%
reactions ÷ views · ER floor
Posts in window
10
of 20 held
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. It is computed over the 8 of 10 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 28 October 2026
Posts held
20 (2 September 2026 – 28 October 2026)
Views total
14,464
Reactions total
79
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
4 Nov 2026, 16:44 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.
Reaction mix
150 reactions across 16 posts, in 7 distinct kinds. The most used accounts for 41.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
62
41.3%
😁
33
22.0%
❤🔥
20
13.3%
🔥
19
12.7%
👍
12
8.00%
🤝
3
2.00%
🤩
1
0.667%
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 16 of the 20 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 150 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 2 September 2026 to 28 October 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.
Recent posts
Telegram’s own ‘edited’ marker: 3 of 10 posts held from the last 30 days (30.0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
Конец эпохи бесплатного урбанизма
🔤🔤 Команда Продюсер города выпустила первый в России документ о том, как зарабатывать на развитии своего города
Про урбанистику, события и сообщества написаны сотни текстов — а про то, кто за всё это платит и как продюсеру города на этом зарабатывать, внятно не написал ещё никто.
А вопрос ровно здесь и ломается. Город можно преобразить: восстановить завод, запустить события, подня…
Что делать консалтингу в эпоху ИИ?
Что было раньше:
Консалтинг делал исследования
Сейчас:
Клиент сам может это собрать через ИИ
И клиент может себе таких исследований наклепать много
И что теперь делать консалтингу?
У меня возможный ответ: Консалтингу нужно упаковывать услуги по ревью, вычитке и верификации всей инфы ИИ в рамках исследований
Результат:
+ Заказчику на недо тратить время на ревью. Это всё передае…
Запрос:
Мы сейчас готовим третью статью для Reminder из серии о современной городской среде. Тема: Социальная ткань и соседство: как городская среда помогает людям знакомиться, выстраивать связи и формировать локальные сообщества
В материале разбираем пять понятий: слабые связи (weak ties), третье место (third place), счастливая случайность (serendipity), микросообщества и соседский капитал.
Мы уже поговорили с ар…
🔍 Эксклюзивная вакансия: Заместитель начальника управления в Департаменте градостроительной политики города Москвы
Расширяют управление специальных проектов (Блок цифровой трансформации) и ищут заместителя начальника управления. Отличный шанс сменить своб отрасль на госсектор
🏗 Чем занимаются:
— цифровизация градостроительной деятельности Москвы
— внедрение цифровых инструментов на стройплощадках
— межведомственный…
Хорошая визуализация от Gartner по эволюции и расширению ролей
Нюансы:
- Здесь показаны ИТ роли - подразные отрасли можно/нужно по-другому нарисовать.
- Надо понимать что это обобщённая концепция.
- Надо делать поправочку на реальность и что везде будут свои особенности, но общий долгосрочный тренд на это есть
- Плюс инновации внедряются неравномерно
И кстати у меня так и произошло, что из бизнес аналитика я переш…
Ещё несколько интересных тезисов Gartner про AI и сокращения сотрудников:
— Gartner прогнозирует, что к 2029 году около 30% сотрудников, уволенных из-за предполагаемой замены их функций ИИ, компаниям придётся нанять обратно, зачастую уже с более высокой стоимостью найма. Причины — потеря экспертизы, институциональных знаний и переоценка реальной способности AI полностью заменить человека
— В клиентском сервисе прог…
Еще пришла мысль в продолжении разговора про джунов и замену их ИИ:
Мне кажется джуны ни куда не пропадут и работка для них будет
Только работа будет теперь иного характера:
- Раньше: джунам давали нудную рутинную работу (поресерить, собрать таблички, просмотреть и сделать ревью материалов)
- Сейчас и в будущем: джунам скорее всего будут давать больше задач с тем чтобы сделать ревью, вычитку, проверку источников и…
Слежу за дискуссиями авторов в интернете. Сейчас на рынке труда сложилась парадоксальная ситуация:
Есть мнение, что компаниям уже не нужны джуны и мидлы, так как всё сможет сделать 1 сеньиор с помощью ИИ
На основе своих наблюдений я могу сказать, что ИИ действительно помогает любому спецу увеличить количество выполненных задач и работать параллельно над несколькими проектами (от 5 до 20 задач одновременно). Однако…
Showing the 12 most recent of 20 posts we hold for @urbanjob. 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.
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.
Appears in Telegram’s recommendations for other channels
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.
Город для людей @gre4ark · 49,904 Telegram ranks this channel #17 of 98 here — alongside 97 others — read 26 August 2026
Megabudka⋮ @megabudka · 27,171 Telegram ranks this channel #19 of 95 here — alongside 94 others — read 11 September 2026
Источник в ВЭБе @razvivaemrf · 37,985 Telegram ranks this channel #27 of 94 here — alongside 93 others — read 4 September 2026
Грязный проектировщик @filthyarchitect · 20,220 Telegram ranks this channel #28 of 93 here — alongside 92 others — read 28 September 2026
ДОМ.РФ @domrf_life · 33,198 Telegram ranks this channel #68 of 96 here — alongside 95 others — read 4 September 2026
Archi.ru @archi_ru · 28,567 Telegram ranks this channel #70 of 96 here — alongside 95 others — read 11 September 2026
This channel appears in 6 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 5 November 2026 — this
entry's latest reading, not the date you are reading this.
“Урбан Джоб / Urban Job - Вакансии в территориальном развитии” (@urbanjob), 5,835 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/urbanjob.
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.