This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word 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.
3 measurements spanning 3 days, net +1. 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 1,263–1,264 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
10 Aug 2026, 16:03
1,264
+1
7 Aug 2026, 10:23
1,263
no change
7 Aug 2026, 05:46
1,263
first reading
Engagement
20 posts held, back to 23 June 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 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
17.2%
avg views ÷ 1,264 subscribers
Avg views / post
217
3 posts measured
Reaction rate
1.07%
reactions ÷ views · ER floor
Posts in window
3
of 20 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 19 July 2026
Posts held
20 (23 June 2026 – 19 July 2026)
Views total
652
Reactions total
7
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 05:46 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.
Reaction mix
105 reactions across 19 posts, in 5 distinct kinds. The most used accounts for 42.9% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
45
42.9%
❤
33
31.4%
👍
23
21.9%
👌
2
1.90%
🙏
2
1.90%
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 19 of the 20 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 105reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 23 June 2026 to 19 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.
Telegram Stars
Stars received
20
across the posts below
Posts paid on
10
of 20 we hold a reading for · 50%
Most on one post
6
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ClubSyndicateRu. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 20 most recent posts we hold for this entry, published 23 June 2026 to 19 July 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
В стройке выживать в режиме «тушения пожаров» и хвататься за кредиты под любой процент — дорога в никуда.
🧠Пора переключаться с реакции на прогноз. На форуме вытаскиваем на свет жёсткие инструменты: контроль ликвидности и ту самую защищённую маржу.
📣«Прибыль вопреки» — это не про удачу. Это про холодный финансовый инжиниринг.
🗓Всё 7–9 августа.
за подробностями :СТРОЙ.РФ
🤝 Партнёр форума — Мария Ермилова
😎На форуме выступят эксперты, которые помогают предпринимателям выстраивать устойчивый рост бизнеса и принимать сильные финансовые решения. Один из наших партнёров — Мария Ермилова.
📣 Мария Ермилова — международный финансовый советник и финансовый стратег с 20-летним опытом. Она помогает собственникам бизнеса выстраивать эффективные финансовые системы, увеличивать прибыль, снижать …
😎17 июля в Москве — круглый стол!
🎙️ Один из спикеров стола — Оксана Александровна Грикевич — адвокат с 22-летним опытом, управляющий партнер АБ «Грикевич и Партнеры», эксперт по строительным спорам и госзакупкам.
📣Тема выступления:
«Семь юридических ошибок, которые превращают девелоперский проект в убыточный»
На встрече разберем самые распространенные юридические ошибки, которые приводят к срыву сроков, судебным …
😎 На форуме СТРОЙ.РФ х СИНДИКАТ соберутся компании и эксперты, которые помогают бизнесу масштабироваться и принимать сильные стратегические решения. Один из наших партнёров — ФинХак.
🎙️ФинХак — финансово-юридический консалтинг для собственников бизнеса и инвесторов.
Компания сопровождает продажу бизнеса стоимостью от 250 млн рублей, помогает выстраивать инвестиционные стратегии, сопровождает M&A-сделки, внедряет уп…
😎Я сам из стройки, но прежде всего я предприниматель. И моя миссия — поддерживать предпринимателей. Мне часто задают вопрос: «Я же не строитель, что мне там делать?»
🌐 Форум — это не только про строительное направление. Это в целом про предпринимательство. СТРОЙ.РФ — это про то, как адаптироваться к новым реалиям и продолжать двигаться и расти, выстраивая новую экономику.
Мы каждый день общаемся с представителями …
Строительный бизнес требует перехода от риска к защищенной сделке.
😎На форуме
«СТРОЙ.РФ» разбираем:
🔸как упаковать проект и все его составляющие обязательства, себестоимость и контракты в надежный щит.
🔸Оттачиваем механизмы, где закон и расчет защищают результат проекта.
🗓7–9 августа — строим устойчивую экономику проекта.
💌за подробностями: СТРОЙ.РФ
😎Я 16 лет в стройке и прошел путь от ремонтов до девелпмента. Реализовал жилые комплексы. Изнутри знаю как утроены процессы. Так же мне известны боли предпринимателей, строителей, производственников.
На фото мы со строителями и дизайнерами возвращаемся с выставки домов в Москве - заехали выпить кофе и поесть пиццу🍕
😎Клуб СИНДИКАТ начинался как чатик строителей 4 года назад. И с первой же встречи получилось дать пра…
Наступает эра финансового инжиниринга.
🌐На «СТРОЙ.РФ» мы берём на вооружение новую арифметику стройки. Прибыль вопреки внешней конъюнктуре. Лидерство через расчёт. Не рост любой ценой, а рост с умом.
🗓Встречаемся 7–9 августа.
за подробностями: СТРОЙ.РФ
😎10 И 17 ИЮЛЯ | КРУГЛЫЙ СТОЛ В ГОРОДЕ СОЧИ | МОСКВА
Бизнес растёт не только благодаря новым идеям, но и благодаря обмену опытом, сильным связям и проверенным решениям.
В условиях, когда рынок постоянно меняется, предпринимателям важно не просто искать информацию, а получать реальные инструменты от тех, кто уже проходит этот путь.
🎯Тема встречи: «Практики — практикам. Обмен опытом и прикладными решениями»
Мы собир…
😎Кирилл Кудряшов — архитектор бассейнов, саун и хамамов, основатель компании «Архитектор Бассейнов».
#резидентыСИНДИКАТА
⚡️Более 8 лет создаёт пространства для отдыха • Вместе с командой реализовал более 200 объектов для частных домов, загородных резиденций и коммерческих проектов.
🔸Проектирует и строит бассейны, сауны и хамамы под ключ — от идеи и инженерного расчёта до полной реализации
🔸Создаёт пространства, к…
⚡️ЗАВТРА! Онлайн-встреча по теме:
«Почему компании строительной отрасли теряют миллионы, игнорируя тендерные площадки, даже если не участвуют в тендерах?»
На встрече обсудим:
🔸 как находить компании, которые уже планируют строительство, ремонт или модернизацию объектов;
🔸 как определять заказчиков с подтвержденным бюджетом;
🔸 как по одной закупке увидеть будущие потребности компании и предложить дополнительные усл…
✅ В рамках одного из круглых столов в Москве мы вместе с резидентами нашего бизнес-клуба посетили производство компании 3D Строй в Подмосковье.
Экскурсию провела Светлана Шаяхметова, с ней мы подробно разобрали весь цикл производства: от состава бетонной смеси и особенностей технологии 3D-печати до себестоимости, экономики проектов, текущего спроса и перспектив развития рынка в России.
💎 Компания не ограничивается …
❤3👌2🔥2
Showing the 12 most recent of 20 posts we hold for @ClubSyndicateRu. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Citation-graph rank
Citation-graph rank — 97,763 of 1,169,250entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
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.
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 10 August 2026 — this
entry's latest reading, not the date you are reading this.
“СООБЩЕСТВО КЛУБА СИНДИКАТ” (@ClubSyndicateRu), 1,264 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/ClubSyndicateRu.
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.