Real estate — 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 11 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 why it has no browse page of its own yet.
Growth
29 measurements spanning 35 days, net -151. 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 12,776–12,984 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 29
Measured (UTC)
Subscribers
Change
11 Sept 2026, 07:19
12,800
-1
8 Sept 2026, 09:17
12,801
-21
5 Sept 2026, 02:41
12,822
-39
3 Sept 2026, 09:45
12,861
-17
2 Sept 2026, 03:44
12,878
-8
1 Sept 2026, 01:27
12,886
-13
30 Aug 2026, 23:35
12,899
+2
30 Aug 2026, 02:08
12,897
+2
29 Aug 2026, 00:26
12,895
+4
28 Aug 2026, 02:37
12,891
-4
26 Aug 2026, 23:03
12,895
-5
26 Aug 2026, 00:18
12,900
-8
24 Aug 2026, 22:25
12,908
-10
23 Aug 2026, 08:47
12,918
-11
21 Aug 2026, 20:39
12,929
-12
20 Aug 2026, 14:27
12,941
-5
19 Aug 2026, 12:02
12,946
-1
18 Aug 2026, 13:59
12,947
-12
17 Aug 2026, 12:24
12,959
+7
16 Aug 2026, 02:54
12,952
first reading
Engagement
40 posts held, back to 28 July 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 48 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
7.47%
avg views ÷ 12,800 subscribers
Avg views / post
956
22 posts measured
Reaction rate
1.34%
reactions ÷ views · ER floor
Posts in window
22
of 40 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.
What these figures were computed from
Window
Rolling 30 days · latest post in window 2 September 2026
Posts held
40 (28 July 2026 – 2 September 2026)
Views total
21,022
Reactions total
281
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
2 Sept 2026, 20:52 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
Video runtime
38s
Average length
19s
Measured directly from 2 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
527 reactions across 40 posts, in 14 distinct kinds. The most used accounts for 28.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
149
28.3%
❤
146
27.7%
👍
69
13.1%
😍
65
12.3%
custom 5384101518284705915
25
4.74%
👏
24
4.55%
💯
16
3.04%
🎉
12
2.28%
👀
10
1.90%
😎
4
0.759%
❤🔥
2
0.38%
🍾
2
0.38%
🙏
2
0.38%
✍
1
0.19%
Custom emoji. One row above is a 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 count beside it is 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 40 of the 40 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 527 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 40 most recent posts we hold, published 28 July 2026 to 2 September 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.
😁😁😁😁😁 Отдаём квартиры с выгодой до 20% в сентябре
Лето закончилось, а скидки от ЛСР — нет. Сейчас вы можете купить квартиру в любом проекте со скидками до 20%.
Максимальная выгода действует на выделенный пул планировок в этих домах:
🔺 «Морская миля» (дом 10),
🔺 «Пулково Лейк» (дом 1),
🔺 «Большая Охта» (дома 6, 7 и 8),
🔺 «Бульвар Грина» (дом 1),
🔺 «Цивилизация на Неве» (дом 5),
🔺 Neva Residence,
🔺 NEVA HAUS.
В дру…
😆😆😆😆😆 Яркие новости из «Ручьёв»
Открываем продажи в домах 25 и 26. Уже сейчас можно забронировать студии для самостоятельного старта и просторные трёхкомнатные квартиры, чтобы объединить под одной крышей сразу несколько поколений.
Школа и детский сад работают на территории квартала. Во дворах есть игровые площадки, где будет интересно и малышам, и активным подросткам.
☎️ Звоните в отдел продаж 一 подберём квартиру,…
🔥 Сегодня в кварталах ЛСР было шумно
Улицы пестрели букетами и белыми бантами. Дворы наполнились детским смехом и разговорами. Самый первый звонок прозвенел сразу в нескольких проектах:
⚡️ «Цветной город», начальная школа-детский сад № 182.
⚡️ «Большая Охта», начальная школа и дошкольное отделение с углублённым изучением иностранных языков № 515.
⚡️ «Пейзажный квартал», начальная школа-детский сад № 609.
⚡️ «Морска…
❤️ Свежеиспечённый промокод к осеннему новоселью
Чтобы получить пышную шарлотку, нужны правильные пропорции. Чтобы купить квартиру с выгодой — промокод.
Ваш сентябрьский бонус дошёл до готовности. Забирайте лакомый кусочек скидки, пока не остыл.
📕 Всё готово к 1 сентября?
Если расписание уроков уже известно, пора составить график комфортных платежей за новую квартиру. Держите шпаргалку по сентябрьским рассрочкам на готовые квартиры:
Рассрочка «30/70»
🔺 «Красная» цена.
🔺 Первоначальный взнос: 30%.
🔺 Ежемесячные платежи: 10 000 一 20 000 ₽.
🔺 Остаток: одним платежом через год.
Рассрочка «50+»
🔺 «Красная» цена с дополнительной скидкой 5%.
🔺 Первоначальный в…
🔑 Поворачиваем ключ в сторону максимальной выгоды
Совместно с банком-партнёром запускаем субсидированную семейную ипотеку со ставкой 0,01% на первые 2 года.
🔺 Ставка после двух лет и до конца срока: 6%.
🔺 Первоначальный взнос: от 20,1%.
🔺 Срок кредита: до 30 лет.
Вы сможете заказать кухню, обустроить детскую, съездить в путешествие и подготовиться к полноценным ежемесячным платежам без стресса. Программа действует…
🌺 Щёлкаем бизнес-задачи как семечки
Запустили новые программы беспроцентной рассрочки на коммерческие помещения в готовых проектах*.
🔺 Классическая программа на год с первоначальным взносом от 30%.
🔺 Рассрочка на полгода с ежемесячными платежами 100 000 рублей.
🔺 Рассрочка на год с ежемесячными платежами 100 000 рублей.
🏬 Ваш будущий магазин, салон или пекарня уже построены. Звоните в отдел продаж коммерческой нед…
🔍 Найдите все оттенки зелёного
Дыхание осени уже чувствуется, но в «Ржевском парке» всё ещё преобладает зелень: фисташковые и оливковые акценты фасадов, молодые ели, салатовые травы и плотные шапки кустарников цвета хаки. С верхних этажей открывается вид на изумрудные кроны деревьев.
Первые дома в «Ржевском парке» уже сданы, квартиры передаются с готовой отделкой. Есть варианты со встроенной кухней, где вы сразу см…
📍 Расшириться. Вложиться. Жить у воды
Так выглядит попадание «в десятку» при покупке квартиры.
В квартале «Бульвар Грина» на Васильевском острове можно устраивать семейные праздники в кухне-гостиной до 30 м². Отдыхать от шума в мастер-спальне. Любоваться Финским заливом из панорамного окна и пить чай у камина. А в выходные 一 ездить на велосипеде в «Севкабель Порт» или «Брусницын».
На первых этажах проекта разместя…
🔑 Ремонт нельзя закончить, но можно не начинать…
… если купить квартиру с готовой отделкой.
В наших проектах комфорт-класса, например, «Октябрьская набережная» и «Морская миля», предлагаем два стиля на выбор: с фактурой тёплого дерева или в строгих серых тонах. Здесь уже уложен ламинат, наклеены обои, установлены межкомнатные двери и сантехника.
Материалы и работы включены в стоимость квартиры. Вам остаётся просто…
💯 Ипотека с лёгким стартом
При покупке квартиры в любом жилом комплексе действует ипотека со сниженной ставкой 8,5% на первые два года. За это время вы сможете закончить ремонт и купить мебель.
Подробные условия:
🔺 Ставка на оставшийся срок 一 18,3%.
🔺 Ваш первоначальный взнос 一 от 20,1%.
🔺 Срок кредита 一 до 30 лет.
Стоимость квартиры рассчитывается от «красной» цены. Акция суммируется со скидками: 50 000 рублей д…
🔥4👍2❤1💯1
Showing the 12 most recent of 40 posts we hold for @spb_lsr. 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.
ПИК @pik_ru · 321,787 Telegram ranks this channel #11 of 85 here — alongside 84 others — read 10 August 2026
Новостройки Медовые СПб @novostroyki_medovie · 68,801 Telegram ranks this channel #21 of 83 here — alongside 82 others — read 20 August 2026
NEWдвижимость. Квартиры СПБ @newdviz · 62,601 Telegram ranks this channel #36 of 88 here — alongside 87 others — read 21 August 2026
Самолет @gk_samoletru · 79,932 Telegram ranks this channel #47 of 80 here — alongside 79 others — read 18 August 2026
This channel appears in 4 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 11 September 2026 — this
entry's latest reading, not the date you are reading this.
“ЛСР | Девелопер #1 (СПб)” (@spb_lsr), 12,800 subscribers as measured 11 September 2026. Telegram Register, tgregister.com/channel/spb_lsr.
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.