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Channel

Азбука ипотеки. Блинова Наталия

@blinova_fin

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

3,291subscribers

-342 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001598142889
TypeChannel
Username@blinova_fin
CreatedBetween 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live15 September 2026
Measurements held13
Confirmed unchanged1 time, most recently 15 September 2026
On Telegramt.me/blinova_fin

Topic

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 14 September 2026 and assigned it the closest of 31 fixed categories, at 95% 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

3,2913,6333,4627 August 2026 — 3,633 subscribers8 August 2026 — 3,624 subscribers10 August 2026 — 3,570 subscribers14 August 2026 — 3,503 subscribers17 August 2026 — 3,457 subscribers20 August 2026 — 3,412 subscribers24 August 2026 — 3,350 subscribers27 August 2026 — 3,325 subscribers30 August 2026 — 3,319 subscribers2 September 2026 — 3,306 subscribers6 September 2026 — 3,303 subscribers11 September 2026 — 3,298 subscribers15 September 2026 — 3,291 subscribers7 August 202615 September 2026
13 measurements spanning 39 days, net -342. 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 3,240–3,684 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Sept 2026, 06:183,291-7
11 Sept 2026, 05:583,298-5
6 Sept 2026, 05:003,303-3
2 Sept 2026, 07:153,306-13
30 Aug 2026, 15:253,319-6
27 Aug 2026, 15:043,325-25
24 Aug 2026, 06:173,350-62
20 Aug 2026, 22:423,412-45
17 Aug 2026, 18:053,457-46
14 Aug 2026, 09:473,503-67
10 Aug 2026, 22:213,570-54
8 Aug 2026, 01:273,624-9
7 Aug 2026, 10:323,633first reading

Engagement

18 posts held, back to 6 February 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 3 pages 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 20 February 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
36s
Average length
18s

Measured directly from 2 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

67 reactions across 10 posts, in 5 distinct kinds. The most used accounts for 26.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
1826.9%
👍1725.4%
🔥1725.4%
😁1420.9%
👎11.49%

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 10 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 67 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 6 February 2026 to 20 February 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

20 Feb 2026, 13:57 UTC≈1,310 views21 reactionsread 7 August 2026

Трусы, роллы и квартира. Разницы почти нет ❓Знаете, что меня сегодня реально улыбнуло? 🤣 Мы с моим клиентом продаём квартиру. Нормальный живой объект. Не виртуальный домик в метавселенной. Самую настоящую квартиру. Выгрузили её на Домклик ✅ И что происходит дальше? Потенциальный покупатель… просто присылает приглашение. ❌Не звонит. ❌Не торгуется. ❌Не спрашивает «а почему такая цена». ❌Не рассказывает, что он серь

👍146👎1

18 Feb 2026, 14:33 UTC≈1,050 viewsread 7 August 2026

🚀 завтра старт ВОРКШОПА по кредитованию банкротов. Успейте запрыгнуть в уходящий поезд! Подробнее написала здесь Подать заявку на участие здесь

15 Feb 2026, 07:41 UTC≈1,170 views1 reactionsread 7 August 2026

🚀 ВОРКШОП «КРЕДИТОВАНИЕ БАНКРОТОВ: ИНСТРУКЦИЯ К ПРИМЕНЕНИЮ» ✅Это не теория из учебника. ✅Это рабочие схемы, которые уже приносят деньги. Программа большого курса PRO ДНК кредитной истории уже стартовала. Первый модуль в рамках «ДНК кредитной истории» прошёл. ВНИМАНИЕ ‼️ 19 февраля — отдельный модуль полностью посвящён банкротам. Можно присоединиться именно на него. Что внутри: Нишевая экспертиза для работы с «о

1

14 Feb 2026, 10:07 UTC970 views3 reactionsread 7 August 2026
Photo

⚡️География не имеет значения: как мы стираем границы в сделках ❓ Друзья, часто получаю вопрос: «А вы работаете только в нашем регионе?» Настало время напомнить — для профессиональной помощи в кредитовании и недвижимости границ не существует. 🌍 Мы живем в эпоху тотальной цифровизации. Сегодня, чтобы довести сложную сделку до финала, нам с вами не обязательно сидеть в одном кабинете. Мой опыт и инструменты позволяю

3

13 Feb 2026, 11:33 UTC772 views9 reactionsread 7 August 2026
Photo

‼️ ЦБ снизил ключевую ставку до 15,5 % годовых

🔥9

10 Feb 2026, 10:16 UTC924 views5 reactionsread 7 August 2026

Кстати! ☝🏽 💣Итак, завтра в первом модуле обучения будет пушка. Раскрою дополнительно ( решила , что включу все- таки это в программу) показатели предиктивной аналитики заемщика ❓Не знали о такой? На курсе будет много открытий! Забегая вперед, как говорится, для затравки - предиктивная аналитика в 2026 году — это «чтение мыслей» заёмщика с помощью Big Data. Банки больше не ждут, когда клиент выйдет на просрочку, о

🔥4👍1

10 Feb 2026, 04:48 UTC892 views13 reactionsread 7 August 2026
Video

Не могу не выложить это видео. Новые реалии семейной ипотеки 🤣🤣🤣🤣

😁13

10 Feb 2026, 04:04 UTC844 viewsread 7 August 2026
Photo

🔥МЕНЬШЕ 24 ЧАСОВ ДО ТРАНСФОРМАЦИИ Завтра в 9:00 по Москве мир кредитного консалтинга для набранной группы разделится на "до" и "после". Я смотрю на наш VIP-состав и понимаю: это будет легендарно. 🔥 9 человек выбрали личное менторство. Тариф PRO VIP почти заполнен. Почему? Потому что в текущем рынке мало просто "знать" — нужно уметь вытаскивать сделки там, где другие видят тупик. На VIP тариф осталось 1️⃣ место Ч

10 Feb 2026, 04:02 UTCviews —

Азбука ипотеки. Блинова Наталия pinned «24 контрольные точки комплаенса: Идентификация, операции, поведение, репутация. Продуктовая линейка: От разового аудита до полного фидуциарного сопровождения. ТАРИФЫ УЧАСТИЯ: 📍 Тариф «ПРОФЕССИОНАЛ» Весь массив знаний (12 модулей), шаблоны документов, чек…»

9 Feb 2026, 15:14 UTC717 views1 reactionsread 7 August 2026
Photo

🥰😉Я В ШОКЕ. В ХОРОШЕМ СМЫСЛЕ... И В НЕМНОГО ТРЕВОЖНОМ Друзья, я смотрю на списки тех, кто уже зашел на обучение, и хочу сказать ОГРОМНОЕ спасибо за доверие. Мой внутренний эксперт ликует: VIP-тариф практически закрыт. Осталось всего 2 места. Но, пообщавшись с вами на диагностиках и в личке, я пришла в шок от того, какой вакуум сейчас в позиционировании и в развитии бизнеса. 😀Честный разбор полетов: Я поняла, что 9

1

8 Feb 2026, 07:31 UTC598 viewsread 7 August 2026

Как обещала здесь - сегодня разбираем финальные модули обучения VIP тарифа 🚀 Почему VIP? Разбираем «двигатель» вашей прибыли (Модули 13 и 14) 🔥открываю занавес зачем идти на VIP тариф менторства. Отвечаю: чтобы перестать работать МНОГО и начать работать ДОРОГО. Обычный брокер продает «одобрение». Кредитный медиатор продает СИСТЕМУ. Именно её мы строим в финальных блоках курса: Погнали ✈️ 📦 Модуль 13: 🤝Монетиз

Showing the 12 most recent of 18 posts we hold for @blinova_fin. 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.

Mentions

Named by 2 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.

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.

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.

Ипотека и рефинансирование с Кабановыми
@ipoteka_kabanovi · 24,539
Telegram ranks this channel #24 of 80 here — alongside 79 others — read 15 September 2026

This channel appears in 1 seed channel's Telegram-generated recommendation list 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 15 September 2026 — this entry's latest reading, not the date you are reading this.

“Азбука ипотеки. Блинова Наталия” (@blinova_fin), 3,291 subscribers as measured 15 September 2026. Telegram Register, tgregister.com/channel/blinova_fin.

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.