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 24 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
8 measurements spanning 60 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 179–186 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
7 Oct 2026, 02:02
184
-1
27 Sept 2026, 04:41
185
+2
13 Sept 2026, 03:21
183
-1
4 Sept 2026, 06:15
184
+1
28 Aug 2026, 08:24
183
+2
22 Aug 2026, 07:17
181
+1
8 Aug 2026, 13:01
180
no change
7 Aug 2026, 15:07
180
first reading
Engagement
9 posts held, back to 10 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 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 9 posts for this entry, the most recent from 6 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
5m 32s
Average length
1m 23s
Measured directly from 4 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
82 reactions across 9 posts, in 4 distinct kinds. The most used accounts for 45.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
37
45.1%
👍
36
43.9%
🔥
7
8.54%
🤩
2
2.44%
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 9 of the 9 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 82 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 9 most recent posts we hold, published 10 July 2026 to 6 August 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.
Вторичное жилье отвоевывает позиции
Итоги июля у Сбера:
В разгар лета Сбер зафиксировал увеличение объема ипотечных сделок: в июле показатель достиг 254,2 млрд рублей, что превышает прошлогодний уровень на 12,4%.
Примечательно, что сегмент новостроек заметно просел — за месяц их доля уменьшилась сразу на 10 процентных пунктов.
Как распределился спрос на различные типы недвижимости в июле:
• Первичное жилье: 47,…
Сочи переоценён и скоро лопнет пузырь?
Давайте посмотрим на сухие цифры Генплана 📈👇🏼
Многие ждут падения цен на недвижимость в Сочи, но официальные факты и градостроительная математика говорят об обратном. В этом видео разбираем, почему текущая пауза на рынке – это не «крах», а идеальная фаза цикла для инвесторов.
Стратеги заходят в актив в фазе коррекции, когда есть возможность торговаться – не тогда, когда за ни…
Рыночный кризис у моря: Крым против Сочи в 2026 году
Формула «купи хоть какой-нибудь бетон у моря, завтра подорожает» официально мертва. Цифры показывают, что южный рынок недвижимости разделился на два абсолютно разных кризиса.
Пока Крым заходит в классический кризис затоваренности, пытаясь залить пустые стройки огромными бюджетами на рекламу, Сочи переживает тихий бойкот покупателей против завышенных цен и слабого…
Постоянно отвечаю на вопросы клиентов: «Не смыло ли вас в море?» после очередного громкого заголовка в новостях.
Давайте разберем ситуацию с паводками в Сочи без сенсаций и паники. В чем на самом деле кроется особенность нашего региона?
Природные факторы: Кавказ – сейсмически активная зона, сели, оползни и тропические ливни здесь естественное явление.
Работа города: Ливневые системы обновляются, русла рек регулярн…
Что будет с рублем и куда уходят деньги из банков в 2026 году?
Финансовая система России столкнулась с жестким дефицитом ликвидности: коммерческие банки бьют рекорды по спросу на аукционах РЕПО ЦБ, забирая до 7 триллионов рублей за неделю. Пока Минфин закручивает гайки бизнесу налогами и высокой ключевой ставкой, регулятор вынужден вручную заливать рублевый голод.
Почему бумажные деньги обесцениваются быстрее, чем …
Showing the 9 most recent of 9 posts we hold for @grigoriev_sochi. 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.
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 7 October 2026 — this
entry's latest reading, not the date you are reading this.
“Григорьев Саша | Сочи👨🏻💻” (@grigoriev_sochi), 184 subscribers as measured 7 October 2026. Telegram Register, tgregister.com/channel/grigoriev_sochi.
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.