Other / unclassifiable — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 9 August 2026 and assigned it the closest of 31 fixed categories, at 60% 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
46 measurements spanning 79 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 154,594–156,344 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 46
Measured (UTC)
Subscribers
Change
24 Oct 2026, 01:57
154,796
-66
23 Oct 2026, 04:16
154,862
+28
22 Oct 2026, 03:27
154,834
-44
20 Oct 2026, 21:34
154,878
-53
19 Oct 2026, 22:19
154,931
-63
19 Oct 2026, 01:38
154,994
+8
18 Oct 2026, 04:57
154,986
-7
15 Oct 2026, 23:06
154,993
-49
15 Oct 2026, 00:19
155,042
-24
13 Oct 2026, 20:57
155,066
+148
10 Oct 2026, 10:15
154,918
+43
6 Oct 2026, 05:02
154,875
+65
1 Oct 2026, 02:55
154,810
-605
18 Sept 2026, 04:16
155,415
-114
15 Sept 2026, 20:00
155,529
+13
14 Sept 2026, 03:01
155,516
-12
12 Sept 2026, 12:21
155,528
-140
10 Sept 2026, 07:37
155,668
-135
6 Sept 2026, 23:01
155,803
-76
4 Sept 2026, 07:18
155,879
first reading
Engagement
80 posts held, back to 23 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 163 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
12.0%
avg views ÷ 154,796 subscribers
Avg views / post
18,600
31 posts measured
Reaction rate
1.25%
reactions ÷ views · ER floor
Posts in window
32
of 80 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 23 October 2026
Posts held
80 (23 July 2026 – 23 October 2026)
Views total
575,450
Reactions total
7,219
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
24 Oct 2026, 04:44 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.
What this channel posts
Photos
≈2,760
Videos
≈455
Links
≈954
Lifetime counters from Telegram’s own channel header, read 24 October 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
Video runtime
16m 02s
Average length
1m 20s
Measured directly from 12 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
31,687 reactions across 76 posts, in 16 distinct kinds. The most used accounts for 53.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
16,878
53.3%
👍
6,353
20.0%
🔥
4,238
13.4%
😁
1,142
3.60%
🍾
1,051
3.32%
😭
453
1.43%
🤝
417
1.32%
👏
316
0.997%
🤣
259
0.817%
❤🔥
163
0.514%
🙏
111
0.35%
👌
76
0.24%
🤷♀
74
0.234%
🤩
72
0.227%
🥰
70
0.221%
😍
14
0.044%
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 78 of the 80 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 33,020 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 80 most recent posts we hold, published 23 July 2026 to 23 October 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
67
across the posts below
Posts paid on
45
of 78 we hold a reading for · 58%
Most on one post
4
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @nastya_docs. 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 80 most recent posts we hold for this entry, published 23 July 2026 to 23 October 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.
Можно ли загружать в ИИ свои документы?
Можно. Но с выключенным обучением и понятными границами для агента.
Подробно в карусели👆🏻 :
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ЦБ оставил ключевую ставку 14%. Но снижать ее в 2027 году собирается медленнее, чем ждал летом. Что это значит?
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Напомню, как это работает. Ключевая ставка - это процент, под который ЦБ дает деньги банкам и принимает …
Россияне стали ждать инфляцию ниже. Что это значит для ставки?
ЦБ опубликовал опрос инФОМ (5-15 октября): люди ждут, что в ближайший год цены вырастут на 13,2%. В сентябре ждали 14,2%.
Поясню, почему ЦБ на это смотрит. Если люди ждут быстрого роста цен, они покупают заранее и просят прибавку к зарплате -> спрос растет -> цены и правда растут. Высокая ключевая ставка работает в обратную сторону: кредиты дорогие, вкл…
Друзья, уже через час, в 19:00 мск, встречаемся на бесплатном вебинаре «Всё об ИИ-агентах» 🙌
Разберём, чем ИИ-агенты отличаются от обычного чата, какую работу уже можно им поручить и как сделать так, чтобы не вы часами сидели над задачами, а ИИ выполнял их за вас, причём зачастую быстрее и лучше.
А ещё, кстати, подготовила для вас кое-что интересное 😁
Покажу своего личного ИИ-агента, который самостоятельно ищет инф…
Друзья, вебинару «Всё об ИИ-агентах» завтра быть 🔥
Регистрация снова работает, уведомления тоже приходят, поэтому завтра в 19:00 мск будем разбираться, что за зверь такой эти ИИ-агенты 😁
На бесплатном вебинаре покажу, как перейти от постоянных запросов к ИИ к помощникам, которые могут выполнять за вас целые процессы. Разберём, какие задачи им можно поручать, как они работают и чем отличаются от обычного чата с ИИ.
…
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Считают так: годовую аренду делят на медианную цену квартиры в новостройке. А аренда подешевела. В Москве сейчас в среднем 100 тыс. руб в месяц, год назад было 115 тыс. В Петербурге 52 ты…
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Демпфер — доплата из бюджета нефтяникам, чтобы им было выгодно продавать топливо внутри страны, а не за рубеж. Если средняя за месяц биржевая цена дизеля выше нормативной больше чем на 30%, доплату н…
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👍135❤69🤷♀10👌1
Showing the 12 most recent of 80 posts we hold for @nastya_docs. 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.
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
Named by 3 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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 12 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
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.
ШЕРГИНА Юрист Финансовый советник @LawAndFinance · 69,172 Telegram ranks this channel #1 of 90 here — alongside 89 others — read 20 August 2026
Ksenia_finance @ksenia_finance · 75,623 Telegram ranks this channel #3 of 83 here — alongside 82 others — read 19 August 2026
Светлана Шишкина. Как жить лучше @sveta_economy · 31,081 Telegram ranks this channel #5 of 89 here — alongside 88 others — read 6 September 2026
Записки юной пенсионерки @kiltauolgafinance · 54,205 Telegram ranks this channel #5 of 89 here — alongside 88 others — read 24 August 2026
Громова больше чем про деньги @anna_finance_advanced · 25,730 Telegram ranks this channel #7 of 89 here — alongside 88 others — read 13 September 2026
Время=Деньги | Институт TIME$ @times_institute · 66,986 Telegram ranks this channel #8 of 94 here — alongside 93 others — read 20 August 2026
Crypto by Nastya Docs @nastya_docs_crypta · 38,221 Telegram ranks this channel #12 of 85 here — alongside 84 others — read 31 August 2026
Александра Вальд Инвестиции @life_and_invest · 30,059 Telegram ranks this channel #15 of 97 here — alongside 96 others — read 7 September 2026
Акции с Ольгой Гогаладзе l pro.finansy @profinansy_equity · 52,048 Telegram ranks this channel #19 of 84 here — alongside 83 others — read 24 August 2026
Школа безопасных инвестиций @finraonline · 43,796 Telegram ranks this channel #22 of 94 here — alongside 93 others — read 3 September 2026
Свинкины финансы @svinfin · 34,613 Telegram ranks this channel #22 of 63 here — alongside 62 others — read 3 September 2026
Дубай by Nastya Docs @dubai_nastya_docs · 30,312 Telegram ranks this channel #23 of 82 here — alongside 81 others — read 7 September 2026
Алина говорит @alina_telling · 28,356 Telegram ranks this channel #24 of 92 here — alongside 91 others — read 9 September 2026
Лариса Суркова - larangsovet @larangsovetme · 111,075 Telegram ranks this channel #24 of 85 here — alongside 84 others — read 14 August 2026
Академия PRO.FINANSY @profinansy_academy · 82,822 Telegram ranks this channel #25 of 87 here — alongside 86 others — read 18 August 2026
Финсоветы | pro.finansy @finhacker_profinansy · 21,122 Telegram ranks this channel #26 of 81 here — alongside 80 others — read 24 September 2026
Ольга Гогаладзе @profinansy · 571,845 Telegram ranks this channel #26 of 86 here — alongside 85 others — read 8 August 2026
Дмитрий Толстяков | Инвестиции и жизнь @dmitrytolstyakov · 34,280 Telegram ranks this channel #27 of 97 here — alongside 96 others — read 3 September 2026
Облигации | pro.finansy @obligaciipr · 57,033 Telegram ranks this channel #28 of 87 here — alongside 86 others — read 23 August 2026
Школа финансовой грамотности | pro.finansy @invest_profinansy · 37,079 Telegram ranks this channel #29 of 88 here — alongside 87 others — read 4 September 2026
Куда инвестирует Ольга Гогаладзе | pro.finansy @alwaysbemoney · 31,241 Telegram ranks this channel #30 of 85 here — alongside 84 others — read 6 September 2026
Ответы от Оли Гогаладзе @pravda_pro_finansy · 36,355 Telegram ranks this channel #30 of 82 here — alongside 81 others — read 1 September 2026
Мила Левчук о любви @milalevchuk · 48,533 Telegram ranks this channel #30 of 76 here — alongside 75 others — read 26 August 2026
PRO.FINANSY @profinansy_post · 62,366 Telegram ranks this channel #32 of 83 here — alongside 82 others — read 21 August 2026
This channel appears in 77 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. 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 24 October 2026 — this
entry's latest reading, not the date you are reading this.
“Анастасия Тарасова Nastya_Docs” (@nastya_docs), 154,796 subscribers as measured 24 October 2026. Telegram Register, tgregister.com/channel/nastya_docs.
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.