Всё самое важное о жизни Петербурга в одном месте.
По рекламе: @nevablog78
Бартер от 100 т.р.: @mejgorodpr
Работаем с: @swaymedia, @Spiral_Yuri, @TpIpLe11
Предложить новость: @pitervkurse_bot
https://t.me/+2KxZgHH6Lx5kZmVi
Ркн: 6469116397
Created
Between 1 September 2024 and 31 March 2025 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
National news — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 9 August 2026 and assigned it the closest of 31 fixed categories, at 51% 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
36 measurements spanning 49 days, net -2,740. 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 153,399–156,961 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 36
Measured (UTC)
Subscribers
Change
25 Sept 2026, 04:57
153,810
-323
18 Sept 2026, 21:57
154,133
-100
16 Sept 2026, 12:39
154,233
-103
14 Sept 2026, 19:56
154,336
-117
13 Sept 2026, 07:00
154,453
-75
11 Sept 2026, 11:36
154,528
-151
8 Sept 2026, 18:55
154,679
-170
5 Sept 2026, 11:21
154,849
-93
3 Sept 2026, 16:00
154,942
-82
2 Sept 2026, 09:22
155,024
-63
1 Sept 2026, 08:46
155,087
-35
31 Aug 2026, 10:25
155,122
-21
30 Aug 2026, 11:18
155,143
-53
29 Aug 2026, 11:55
155,196
-36
28 Aug 2026, 13:58
155,232
-62
27 Aug 2026, 15:07
155,294
-70
26 Aug 2026, 11:35
155,364
-69
25 Aug 2026, 13:32
155,433
-64
24 Aug 2026, 11:39
155,497
-110
22 Aug 2026, 21:45
155,607
first reading
Engagement
540 posts held, back to 5 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 118 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
3.04%
avg views ÷ 153,810 subscribers
Avg views / post
4,680
279 posts measured
Reaction rate
1.31%
reactions ÷ views · ER floor
Posts in window
279
of 540 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 276 of 279 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 1 October 2026
Posts held
540 (5 August 2026 – 1 October 2026)
Views total
1,304,610
Reactions total
16,881
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
1 Oct 2026, 23:04 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.
What this channel posts
Photos
≈2,960
Videos
≈1,660
Links
≈4,810
Lifetime counters from Telegram’s own channel header, read 1 October 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.
Video runtime
2h 04m
Average length
30s
Measured directly from 252 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.
Reaction mix
35,858 reactions across 535 posts, in 46 distinct kinds. The most used accounts for 25.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
9,192
25.6%
👍
4,493
12.5%
🤬
3,449
9.62%
🔥
3,290
9.18%
👎
3,034
8.46%
😁
2,297
6.41%
😱
2,293
6.39%
🤣
1,558
4.34%
🙏
1,380
3.85%
😢
1,017
2.84%
😭
657
1.83%
🤡
615
1.72%
🥰
476
1.33%
👏
382
1.07%
❤🔥
325
0.906%
🤯
195
0.544%
🕊
174
0.485%
😍
170
0.474%
💔
139
0.388%
👀
106
0.296%
26 further kinds
616
1.72%
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 536 of the 540 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 35,858 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 540 most recent posts we hold, published 5 August 2026 to 1 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.
Пожар у Исаакиевской площади разрастается: пламя с особняка Миллера перекинулось на соседний дом на улице Якубовича❗️
Крупное возгорание в центре Питера охватило кровлю расположенного рядом здания № 2. В самом особняке открытого горения на данный момент уже нет, однако спасатели продолжают борьбу с огнем на новой площади.
📹78
💥 Питер в курсе
💙 Отправь контент, а мы опубликуем
📲 Не грузит, есть Max
❗️В самом центре Питера вспыхнул особняк Миллера, расположенный напротив Исаакиевского собора
Прямо сейчас экстренные службы борются с сильным возгоранием в историческом здании 19-го века.
💥 Питер в курсе
💙 Отправь контент, а мы опубликуем
📲 Не грузит, есть Max
В Ленобласти 91-летний дедушка пробежал марафон и на финише зачитал стихи собственного сочинения 💪
Настоящую силу духа продемонстрировал пожилой спортсмен на местном забеге. Пожилой мужчина легко преодолел дистанцию в 3,5 километра за 44 минуты.
💥 Питер в курсе
💙 Отправь контент, а мы опубликуем
📲 Не грузит, есть Max
Больше двух тысяч покусанных и огромные чеки: в Питере начали жестко наказывать за неправильный выгул псов 🐶
Владельцам собак в городе придется стать намного дисциплинированнее, иначе семейный бюджет сильно пострадает. С начала года общая сумма штрафов за ненадлежащее содержание четвероногих достигла 830 тысяч рублей. Причиной таких суровых мер стали 2216 случаев нападения питомцев на людей, зафиксированных всего за…
Питер второй день подряд уйдёт в режим «Сайлент Хилл» из-за плотного тумана 😶🌫️
Водителям стоит сбавить скорость и приготовиться к тяжелым утренним поездкам 2 октября. Белая завеса накроет город еще ночью, сократив видимость на дорогах до критических 500 метров и менее.
💥 Питер в курсе
💙 Отправь контент, а мы опубликуем
📲 Не грузит, есть Max
Ловим бесплатный вход в Эрмитаж 4 октября по случаю Дня учителя 🥳
Оформить билеты без оплаты можно заранее на официальном сайте музея. Также их будут выдавать в кассах в порядке живой очереди прямо в день посещения.
#планы_на_вечер
💥 Питер в курсе
💙 Отправь контент, а мы опубликуем
📲 Не грузит, есть Max
С 1 октября коммуналка в Питере подорожает почти на 15% 📈
К примеру, для стандартной квартиры площадью 60 квадратных метров, где прописаны три человека, ежемесячный платеж разом увеличится на 1300 рублей.
💥 Питер в курсе
💙 Отправь контент, а мы опубликуем
📲 Не грузит, есть Max
Питерская учительница исполнила мечту всей жизни и доехала на велике до Шанхая 🇨🇳🐲
Репетитор иностранных языков Мария Ос в одиночку преодолела 9 тысяч километров. Питерская экстремалка крутила педали через Россию, Монголию и Китай. Даже жесткое падение и перелом руки в самом начале пути не заставили её отказаться от масштабного велозаезда — в итоге девушка успешно добралась до финиша и провела в Поднебесной целый ме…
😶🌫️ Петербург растворился в утреннем тумане
Густая пелена накрыла город и заметно ухудшила видимость на улицах.
💥 Питер в курсе
💙 Отправь контент, а мы опубликуем
📲 Не грузит, есть Max
😇 Крошечный чирок-свистунок заглянул в Петербург перед зимовкой
Самая маленькая утка России внешне напоминает обычную крякву, но отличается гораздо более скромными размерами.
Узнать птицу можно и по ярко-зелёному «зеркальцу» на крыльях. У крякв похожий участок оперения имеет сине-фиолетовый оттенок.
📹 Каждой твари по паре
#хорошая_новость
💥 Питер в курсе
💙 Отправь контент, а мы опубликуем
📲 Не грузит, есть Max
🥹 Неизлечимый диагноз подтолкнул петербурженку переехать жить в машину
Оля давно мечтала об автодоме и путешествиях, но решилась на перемены после новости о болезни. Девушка месяц готовилась, в мае отказалась от съёмной квартиры и превратила свою легковушку в дом. Благодаря удалённой работе она уже четыре месяца путешествует одна.
К безопасности петербурженка подошла с юмором. Перед машиной она оставляет сланцы 50-…
❤52👏16😱14😢5🤡3🤬1
Showing the 12 most recent of 540 posts we hold for @piter_v_kurce. 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.
Posts edited after publishing
@piter_v_kurce edited 5 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.
First edit seen
17 August 2026
Most recent edit
26 September 2026
Forward network
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.
Mentions
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.
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 25 September 2026 — this
entry's latest reading, not the date you are reading this.
“Питер в курсе” (@piter_v_kurce), 153,810 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/piter_v_kurce.
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.