Channel
@yeltsovm
On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry
2,399subscribers
+5 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001725543469 |
|---|---|
| Type | Channel |
| Username | @yeltsovm |
| Created | 3 August 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 7 August 2026 |
| Last confirmed live | 10 August 2026 |
| Measurements held | 3 |
| Confirmed unchanged | 1 time, most recently 10 August 2026 |
| On Telegram | t.me/yeltsovm |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Aug 2026, 15:28 | 2,399 | +2 |
| 8 Aug 2026, 01:01 | 2,397 | +3 |
| 7 Aug 2026, 04:46 | 2,394 | first reading |
19 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 2 pagesof Telegram’s post history, 20 posts per page.
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. It is computed over the 16 of 19 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 7 August 2026 |
|---|---|
| Posts held | 19 (28 July 2026 – 7 August 2026) |
| Views total | 7,591 |
| Reactions total | 78 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 7 Aug 2026, 16:36 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.
78 reactions across 16 posts, in 5 distinct kinds. The most used accounts for 51.3% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 40 | 51.3% | |
| ❤ | 18 | 23.1% | |
| 👍 | 16 | 20.5% | |
| 👎 | 2 | 2.56% | |
| 👏 | 2 | 2.56% |
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 16 of the 19 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 78reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 28 July 2026 to 7 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.
Друзья, мы продолжаем развивать наш глобальный проект Архитекторы семейного капитала. Приглашаем предпринимателей, собственников бизнеса и руководителей на живую встречу, на которой мы поделимся практическими инструментами для построения семейной стратегии и управлением капиталом семьи. Причем под капиталом мы подразумеваем не только финансы и недвижимость, но и куда более важные ресурсы: социальный, интеллектуальн…
🔥7❤2
Кстати. Давно хотел спросить. Вы наверняка регулярно видите подобные комментарии и у меня и в других каналах. Про полезные аудиозаписи, книги, рабочие тетради и почее. Знаете что это такое и для чего системно публикуются такие комментарии? Вот правда любопытно какой процент людей догадывается. @yeltsovm
Датафлэт опубликовали статистику продаж новостроек с Петербурге и Ленобласти. Если не сильно вникать в цифры и обстоятельства, то картина выглядит оптимистично. Объем продаж в метрах в Петербурге в июле вырос на 4% к июню. Зарегистрировано 2,9 тыс. ДДУ, по сравнению с июлем прошлого года - меньше на 1%. Доля ипотеки осталась на уровне июня: 55%. Рекламные цены за год выросли на 22%. В Ленобласти рост числа ДДУ к ию…
Дом РФ: в июле выдано 86 тыс. ипотечных кредитов на 366 млрд. руб. С корректировкой на число рабочих дней выдачи за месяц снизились на 22% по количеству и 31% по объёму. Совершенно справедливо указывается на то что спад обусловлен снижением выдачи льготной ипотеки в июле, по сравнению с локальным пиком в июле. Но интересно вот что. Пока итоговых данных по выдаче льготной ипотеке нет, но на 26 июля в отчетности Дом …
❤2🔥1
По итогам июля объем строящегося жилья в Петербурге снизился на 9% (по сравнению с июлем прошлого года). Теперь в городе в строится 4,99 млн. квадратных метров. Проковыряли Преодолели отметку в 5 млн. То ли еще будет. В Ленобласти, напротив, - рост на 14%, строится 4,95 млн. квадратных метра. Можно считать что объем стройки в ЛО уже в этом году будет устойчиво больше чем в Петрербурге. Следующий рубеж - рынок преодо…
Итоги недели На вторичном рынке Петербурга начало месяца проходит по привычному сценарию. За первые четыре дня месяца объем предложения в спальных районах (включая Мурино и Кудрово, данные ЦИАН) вырос на 0,7%. Но этот рост носит исключительно технический характер и связан с обновлением объявлений в начале месяца. Уже на следующей неделе предложение, скорее всего, вновь вернется в отрицательную зону. По итогам июля …
🔥5❤1
Погнали.
🔥2👏1
А вот и ссылка: https://barancha.ru/veb_club
👏1
🎉 Приглашаем на эфир: «Доходная недвижимость в турбулентных условиях» Рынок недвижимости меняется — и привычные инвестиционные схемы больше не работают 🤷♂️ ❗️Если вы вкладываетесь или только планируете инвестировать в жилую, коммерческую недвижимость или апартаменты — этот эфир для вас. 📽 На встрече разберём, как сегодня выглядят реальные возможности для заработка и какие риски важно учитывать. Эфир проведёт при…
🔥4
Напоминаю про эфир. Сегодня. 15:00. Ссылку опубликуем перед началом.
❤2
Из отчета Дом РФ. В первом полугодии 2026 года выдано 491 тысяча ипотечных кредитов (+44% г/г) на 2,2 трлн рублей (+48%). 52% кредитов - рыночная ипотека, 48% - ипотека с господдержкой. На покупку готовых квартир пришлось 49% выданных кредитов, а на строящиеся квартиры - 37%. Совокупный ипотечный портфель в июне вырос на 0,9 % и составил 24,5 трлн. руб. @yeltsovm
👍4
За год ставка посуточной аренды квартир в Петербурге снизилась на 5%. С одной стороны - снижение, с другой это очень неплохой результат с учетом прироста предложения на рынке долгосрочной аренды. Ставка посуточной аренды опосредованно влияет и на рынок долгосрочной аренды жилья и на доходность апартаментов. Ещё это индикатор динамики дохода от сдачи гостиничных номеров. @yeltsovm
🔥1
Showing the 12 most recent of 19 posts we hold for @yeltsovm. 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.
Citation-graph rank — 16,328 of 1,160,990entries 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
Named by 7 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
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.
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.
“Блог Максима Ельцова” (@yeltsovm), 2,399 subscribers as measured 10 August 2026. Telegram Register, tgregister.com/channel/yeltsovm.
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.