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 23 September 2026 and assigned it the closest of 31 fixed categories, at 96% 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.
Observations
These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.
Content that also appears on other registered channels
Posts published here appear in near-verbatim form on 1 other registered channel. This entry also forms a group of 2 channels linked by matching posts. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.
Matching posts — open both and compare (1 of the pairs behind the counts below)
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.
What this cannot establish
MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.
Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 1 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 16 comparable posts for this entry, running 8 May 2026 to 27 July 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.
The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.
Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).
Of the group of 2 channels, the one whose matching posts we hold earliest is @GRAFFinteractive. That is a statement about our reading window, not a claim of authorship.
Recorded under the key clone_mutual, last confirmed 11 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.
Channels linked by matching posts
This channel is in a group of 2 registered channels linked by matching posts. Links are found by comparing text fingerprints across every channel on the register.
Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.
10 measurements spanning 94 days, net +3. 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 282–290 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
9 Nov 2026, 07:39
288
-1
1 Nov 2026, 19:19
289
+1
25 Oct 2026, 02:55
288
+3
18 Oct 2026, 05:01
285
+1
12 Oct 2026, 02:42
284
-3
1 Oct 2026, 06:22
287
+3
17 Sept 2026, 14:16
284
+1
9 Sept 2026, 11:41
283
-2
8 Aug 2026, 08:20
285
no change
7 Aug 2026, 16:40
285
first reading
Engagement
18 posts held, back to 8 May 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 18 posts for this entry, the most recent from 27 July 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
15m 16s
Average length
3m 49s
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
272 reactions across 18 posts, in 12 distinct kinds. The most used accounts for 37.5% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
102
37.5%
🔥
59
21.7%
custom 5460940012218500295
46
16.9%
👍
15
5.51%
custom 5424972470023104089
13
4.78%
🍾
11
4.04%
👏
11
4.04%
custom 5276032951342088188
8
2.94%
⚡
4
1.47%
❤🔥
1
0.368%
🙊
1
0.368%
🥰
1
0.368%
Custom emoji. 3 of the rows above are 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 counts beside them are 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 18 of the 18 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 272 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 8 May 2026 to 27 July 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.
Advertising
Ad load
5.56%
1 of 18 posts carry an ad marker
Regulatory tokens
1
posts carrying an erid · 1 distinct token
Median views · ads
192
over 1 measured post
Median views · rest
201
over 17 measured posts
An ad marker, not a judgement about a post. A post is counted here because it carries one of two explicit markings: an erid token, which Russian law has required on paid placements since 2022 and which is issued against a specific advertising contract, or a #реклама / #ad hashtag in the body, which is the channel declaring it itself. The first is documentary; the second is a self-declaration and is weaker. No classifier reads the text and decides — nothing on this site guesses that a post is an advertisement.
This is a floor, and it can only ever be a floor. A channel that runs paid placements without marking them produces no marker for us to count, and an unmarked ad is indistinguishable from an ordinary post on the public surface. The ad load above therefore means “the share of posts that declared themselves”, never “the share of posts that were paid for”. A low figure is not evidence of a channel that runs few ads.
Both figures are medians, and no ratio between them is published. Each is a view reading that actually occurred on a post, picked by percentile_disc rather than averaged, so one viral post cannot move it and no interpolated value is invented between two readings. The sample on one side is under five posts, which is too thin to compare. The two figures are shown side by side with the count behind each, and deliberately not divided into a headline like “ads get x% fewer views” — an arithmetic that is easy to print and, at this sample size, means nothing.
Advertising tokens recorded on this entry
erid
Posts
First seen
Last seen
2SDnjbytGhg
1
2 July 2026
2 July 2026
A token repeated across several posts is one advertising contract placed more than once, which is what the identifier is for. The strings are reproduced exactly as they appeared in the post or in its click-through URL and are not validated against any registry — we record the marker a channel published, and whether it resolves to a real contract is a question for the register that issued it.
Measured over the 18 most recent posts we hold, published 8 May 2026 to 27 July 2026. Views are the latest single reading held for each post, and any reading at or above 1,000 is rounded by Telegram to three significant figures.
Совсем скоро будем в Дубае на IPS 2026!
С 7 по 9 сентября наша команда посетит одну из крупнейших международных выставок недвижимости и PropTech — International Property Show 2026 в Dubai World Trade Centre.
На стенде E-27 компания GRAFF Interactive представит современные PropTech-решения, интерактивные инструменты для презентации объектов недвижимости и цифровые продукты, которые помогают девелоперам эффективнее п…
Первый офис в Астрахани с интерактивным инструментом продаж GRAFF.estate!
Мы завершили первый этап внедрения цифрового двойника для жилого квартала «Аура на Боевой». В офисе продаж нашего партнёра АУРА Девелопмент уже можно оценить интерактивную 3D-модель будущего проекта.
Что уже доступно покупателям:
🏠 Вся инфраструктура на карте: кафе, школы, спортзалы, остановки — с реальными расстояниями в метрах и минутах пе…
Advertisementerid 2SDnjbytGhgForwarded from @devisionagencyPhoto
🎤Хорошие новости иногда приходят в самый обычный день и сразу становятся поводом для гордости
GRАFF.еstаtе получил премию Urban Awards 2026 в номинации «PropTech — IT-продукты для девелоперов». Награждение прошло 17 июня в Сочи на форуме «Движение» 🙃
Победа за цифровым 3D-двойником жилых комплексов.
Мы сами видим, как эта технология работает, и знаем, что за ней будущее. С помощью продукта можно:
▫️ показать инфра…
📺 Новое видео — интервью Digital&Developer с нашим директором по продукту Вячеславом Зерновым.
Мы обсудили нашу победу в 18-й премии Urban в номинации «PropTech — IT-продукты для девелоперов», возможности цифрового двойника для отделов продаж и современные инструменты презентации жилых комплексов. В видео рассказываем, как работают интерактивная инсоляция и сценарии проживания, чем наше решение отличается от аналого…
GRАFF.еstаtе поделился личными итогами форума недвижимости «Движение»
Разработчик интерактивных инструментов продаж для девелоперов принял участие в ЭКСПО. Команда сделала фиджитал-пространство: два интерактивных стола работали вместе с трехэкранной системой. Все вместе показывало проект объемно — до уровня квартиры и инфраструктуры, без отрыва от общего плана.
Еще в рамках форума состоялась церемония награждения п…
Технологии Сколково признаны рынком: резиденты забрали три победы PropTech-премии URBAN Awards
В треке PropTech финалистов и победителей определяли не эксперты, а сами девелоперы — непосредственные заказчики и пользователи решений. Для Сколково это принципиально: технологию оценивает рынок.
Из более чем 300 заявок в финал вышли шесть компаний Сколково. Победителями стали:
🟢 GRAFF. estate — в номинации «ИТ-продукты…
GRАFF.еstаtе стала победителем премии Urban Awards 2026 в номинации «PropTech — IT-продукты для девелоперов».🙃
😃 Премия Urban Awards объединяет ведущих участников рынка недвижимости и ежегодно отмечает лучшие проекты и решения в отрасли. В этом году наша компания вошла в число финалистов премии и по итогам экспертной оценки была признана победителем в своей номинации.
🏆 После долгой подготовки в мае мы вошли в шорт…
👋 Друзья, прямое включение с полей форума «Движение» 2026!
На стенде можно посмотреть:
▫️ как работают два интерактивных стола в разных сценариях;
▫️ как стол синхронизируется с трёхплоскостным экраном;
▫️ объёмную демонстрацию объектов на трёхстворчатой конструкции;
▫️ форматы презентации — от личной консультации до показа для большой аудитории.
🙃Ждем вас на стенде №32, приходите общаться!
Коллеги, С Днем России!
Желаем, чтобы инфраструктура нашей страны работала без сбоев, масштабировалась в будущее, а каждый день приносил обновления только со знаком «плюс». С праздником! 🚀
🎉 С уважением, команда GRAFF.estate!
🙃 Встречайте GRAFF.estate на «Движении» 2026
В этом году на «Движении» покажем, как может выглядеть современная презентация недвижимости в формате фиджитал-офиса. На нашем стенде будет работать единая мультимедийная среда, в которой два интерактивных стола и иммерсивная экранная система объединены в единый сценарий демонстрации проектов.
Так проект можно увидеть буквально в объёме: с разных ракурсов, с деталями и бе…
❤9👍7🔥7custom 54609400122185002952
Showing the 12 most recent of 18 posts we hold for @graffestate. 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
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.
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 9 November 2026 — this
entry's latest reading, not the date you are reading this.
“GRAFF.estate — интерактивный инструмент продаж для застройщиков” (@graffestate), 288 subscribers as measured 9 November 2026. Telegram Register, tgregister.com/channel/graffestate.
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.
