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 9 September 2026 and assigned it the closest of 31 fixed categories, at 71% 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
60 measurements spanning 91 days, net -280. 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 36,655–37,044 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 60
Measured (UTC)
Subscribers
Change
6 Nov 2026, 04:01
36,719
-1
5 Nov 2026, 05:27
36,720
-9
4 Nov 2026, 03:17
36,729
-6
3 Nov 2026, 00:25
36,735
-5
1 Nov 2026, 23:10
36,740
-9
1 Nov 2026, 00:19
36,749
-5
31 Oct 2026, 01:27
36,754
-13
30 Oct 2026, 01:08
36,767
+17
28 Oct 2026, 23:18
36,750
-8
27 Oct 2026, 18:39
36,758
-8
26 Oct 2026, 19:46
36,766
-15
25 Oct 2026, 17:55
36,781
-3
24 Oct 2026, 19:25
36,784
-6
23 Oct 2026, 19:08
36,790
-16
22 Oct 2026, 15:39
36,806
-11
21 Oct 2026, 10:20
36,817
-8
20 Oct 2026, 09:55
36,825
-6
19 Oct 2026, 10:34
36,831
-4
18 Oct 2026, 11:40
36,835
-8
17 Oct 2026, 14:28
36,843
first reading
Engagement
94 posts held, back to 27 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 171 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
14.7%
avg views ÷ 36,719 subscribers
Avg views / post
5,400
20 posts measured
Reaction rate
1.34%
reactions ÷ views · ER floor
Posts in window
20
of 94 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 6 November 2026
Posts held
94 (27 July 2026 – 6 November 2026)
Views total
107,910
Reactions total
1,451
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
6 Nov 2026, 14:50 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
≈1,120
Videos
≈191
Links
≈716
Lifetime counters from Telegram’s own channel header, read 6 November 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
3m 09s
Average length
11s
Measured directly from 18 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
5,761 reactions across 93 posts, in 26 distinct kinds. The most used accounts for 48.7% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
2,807
48.7%
🔥
943
16.4%
🌚
410
7.12%
🤗
333
5.78%
👍
319
5.54%
😁
294
5.10%
👎
265
4.60%
😎
189
3.28%
👏
32
0.555%
🤩
32
0.555%
🙏
31
0.538%
🤔
28
0.486%
🎉
14
0.243%
🤪
11
0.191%
🤨
9
0.156%
🤝
8
0.139%
✍
7
0.122%
👀
6
0.104%
👌
6
0.104%
🥰
6
0.104%
6 further kinds
11
0.191%
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 94 of the 94 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 5,761 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 94 most recent posts we hold, published 27 July 2026 to 6 November 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: 6 of 20 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).
Когда на уборку объекта есть всего 10 минут и нужно бежать на основную работу 😄
Как-то мы уже интересовались, кем вы были до того, как перешли в сферу гостеприимства. Теперь вопрос к тем, кто живёт в ритме многозадачности:
📌 ТРУДНО ЛИ СОВМЕЩАТЬ ОСНОВНУЮ РАБОТУ СО СДАЧЕЙ?
Поделитесь своим опытом в комментариях. Многие новички приходят как раз с мыслью о том, что получится успевать всё и сразу. Так ли это?
Ждём ваш…
После выезда гостей на диване остался след от кофе, а на ковролине – засохший слайм 😢
В обоих случаях хочется сразу взять пятновыводитель, но одно и то же средство может не помочь, а иногда и повредить покрытие. ❌
Вместе с вице-президентом Союза Клининговых Компаний России по связям с общественностью Тарасом Дударем разбираемся, какие загрязнения исчезнут при общей чистке, а какие нужно обработать отдельно – и поче…
Не успел народ отойти от Тыквенного Спаса, так тут уже на горизонте «Чёрная пятница»! 🎉
А это значит, что пора проверить цены в календаре и скидки для гостей, которые хотят выгодно снять жильё.
Осталось только выбрать или подключить все:
— скидка при длительном проживании;
— активированная горящая скидка (раньше в Экстранете она называлась горящее предложение);
📌 в новой статье мы рассказали, как горящая скидка по…
Вертикальная главная фотография может сформировать у гостя ошибочное мнение о вашем объекте 😱
Давайте разберёмся на простом примере (и таких много):
📌 главная в поиске обрезается;
📌 на страничке объекта фотографии тоже срезаны;
📌 открываются полностью только после перехода в галерею.
Каков шанс, что гость дойдёт до галереи после срезанной главной фотографии? Явно ниже, чем если бы он увидел горизонтальный кадр. Он…
Как себя чувствуют хосты и спикеры после 7 часов Сдавайся.Конф 🤣
Начали работу над записями – загрузим на наши площадки и отправим на почту всем, кто регистрировался.
Желаем вам хороших выходных. ❤️
Вот и всё – сезон успешно проводили, осталось немного передохнуть (ждём шутки) – и снова за работу 😎
Спасибо, что составили нам компанию и были активными с самого начала онлайн-конференции. Мы это ценим.
Также как ценим замечательных спикеров, которые делились с нами своей экспертизой и полезными кейсами:
— Владлена Головко
— Эльвира Баумгартен
— Татьяна Бердюгина
— Игорь Данилюк
— Эдуард Демидов
— Екатерина Рубцо…
Продолжаем знакомство со спикерами нашей онлайн-конференции 😊
💬 Эдуард Демидов – председатель комиссии отельеров (Санкт-Петербург), владелец управляющей компании «Прохотел»
14:15 — продвижение отелей и посуточной аренды: чему можно научиться друг у друга
💬 Екатерина Рубцова – руководитель отдела продаж в управляющей компании
15:00 — хост как гость: как замечать неочевидные вещи в поездках и добавлять их в свои объе…
Сделаем вторник чуточку ярче – знакомим вас со спикерами нашей Сдавайся.Конф 😎
💬 Владлена Головко – налоговый консультант, владелец консалтингового агентства
11:00 — налоги: кейсы и обзор текущих изменений
💬 Эльвира Баумгартен – владелица компании ApartLand
12:00 — демпингуем или повышаем? Как устанавливать цену в несезон
💬 Татьяна Бердюгина – совладелец компании «Степаненков»
12:45 — «прожарка» ваших объектов в п…
Пора подводить итоги сезона – давайте сделаем это на Сдавайся.Конф 29 октября! 🎉
Вместе с экспертами и вашими коллегами обсудим:
📌 налоги;
📌 ценообразование;
📌 продвижение в межсезонье;
📌 сервис и нейросети;
📌 спокойствие хоста.
Ещё проведём «прожарку» ваших объектов в прямом эфире. Вместе с экспертом разберём объявления и поможем найти ошибки — присылайте ссылки на свои объекты в комментариях под постом. ✔️
…
Немного новостей 🫢
В одном из известных иностранных сервисов бронирования запретили хозяевам требовать от гостей выполнять работу по уборке: мыть и убирать посуду, снимать постельное бельё и выносить мусор за пределы жилья.
📌 Как думаете, пора вводить такие правила и у нас?
👍 — Да, я и так это делаю сам
👎 — О нет, мне будет сложно это принять
Как привлекать гостей в низкий сезон, не снижая цены? И чем их заинтересовать, кроме скидок?
Эдуард Демидов, владелец управляющей компании «Прохотел» и консалтингового агентства для отелей, рассказал, как сделать сервис преимуществом отеля, повышать ценность проживания для путешественников и зарабатывать больше в несезон.
С заботой о вас мы также в MAX, ВКонтакте и Дзене
❤13👍4🔥4👎3😁3
Showing the 12 most recent of 94 posts we hold for @sdavajsya. 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
@sdavajsya edited 1 post 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
22 September 2026
Most recent edit
22 September 2026
Polls
The 6 most recent of 7 polls we hold for this entry, as Telegram rendered them when we read the post. A poll’s figures keep moving after that, so each one is dated.
Как вы напоминаете гостям о правилах проживания? 🏠
Оставляю памятку в объекте (на двери, на столе и т.д.)28%
Пишу в чате перед заселением44%
Красиво оформляю правила в рамке или на стене в виде постера9%
Не напоминаю, пусть смотрят в объявлении 🌚19%
Shares as published. No per-option vote count is published by Telegram, so none is shown.
Percentages only — there are no per-option vote counts here, because Telegram publishes none. The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.
The shares need not add up to 100. Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.
Read from the 94 most recent posts we hold, published 27 July 2026 to 6 November 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.
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
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Rentysoft | Умный доступ, замки и автоматизация @rentysoft · 303#82
Read from Telegram’s recommendation API, most recently 1 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
Суточно.ру @sutochnoru · 207,839 Telegram ranks this channel #1 of 64 here — alongside 63 others — read 17 August 2026
Типичный посуточник @tposutochnik · 21,070 Telegram ranks this channel #3 of 83 here — alongside 82 others — read 25 September 2026
Ярослав Стригунов | Недвижимость @subarendator · 29,493 Telegram ranks this channel #13 of 87 here — alongside 86 others — read 7 September 2026
Яндекс Аренда | сдаю @yandexarenda_sdayu · 27,119 Telegram ranks this channel #26 of 75 here — alongside 74 others — read 2 September 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 6 November 2026 — this
entry's latest reading, not the date you are reading this.
“Сдавайся на Суточно.ру” (@sdavajsya), 36,719 subscribers as measured 6 November 2026. Telegram Register, tgregister.com/channel/sdavajsya.
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.