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Channel

Книжный Вестник

@duosoft_books

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

120,035subscribers

+1,087 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 100,000–316,228.

Register entry

Telegram ID-1001383875283
TypeChannel
Username@duosoft_books
Description📚 Анонсы и обзоры интересных книг 📌 Подборки книг 👍 Вдохновляющие цитаты 🤖 Бот для поиска книг: @fb2top_bot 📖 Онлайн библиотека: https://fb2.top 💰Реклама в канале: https://t.me/+1roIL-9ItsE4MWEy
Created6 September 2018measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live17 September 2026
Measurements held35
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/duosoft_books

Topic

Literature — 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 100% 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

118,948120,035119,491.56 August 2026 — 118,948 subscribers6 August 2026 — 118,948 subscribers6 August 2026 — 118,964 subscribers7 August 2026 — 118,985 subscribers8 August 2026 — 119,047 subscribers9 August 2026 — 119,129 subscribers10 August 2026 — 119,273 subscribers11 August 2026 — 119,351 subscribers12 August 2026 — 119,330 subscribers13 August 2026 — 119,375 subscribers14 August 2026 — 119,398 subscribers16 August 2026 — 119,499 subscribers17 August 2026 — 119,627 subscribers18 August 2026 — 119,687 subscribers19 August 2026 — 119,766 subscribers20 August 2026 — 119,708 subscribers22 August 2026 — 119,673 subscribers23 August 2026 — 119,697 subscribers25 August 2026 — 119,703 subscribers26 August 2026 — 119,678 subscribers27 August 2026 — 119,688 subscribers28 August 2026 — 119,696 subscribers28 August 2026 — 119,691 subscribers29 August 2026 — 119,722 subscribers30 August 2026 — 119,749 subscribers1 September 2026 — 119,785 subscribers1 September 2026 — 119,815 subscribers3 September 2026 — 119,787 subscribers4 September 2026 — 119,795 subscribers7 September 2026 — 119,834 subscribers10 September 2026 — 119,894 subscribers12 September 2026 — 119,884 subscribers14 September 2026 — 119,933 subscribers15 September 2026 — 119,979 subscribers17 September 2026 — 120,035 subscribers6 August 202617 September 2026
35 measurements spanning 43 days, net +1,087. 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 118,785–120,198 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 35
Measured (UTC)SubscribersChange
17 Sept 2026, 21:38120,035+56
15 Sept 2026, 19:02119,979+46
14 Sept 2026, 04:41119,933+49
12 Sept 2026, 12:15119,884-10
10 Sept 2026, 09:39119,894+60
7 Sept 2026, 01:39119,834+39
4 Sept 2026, 11:58119,795+8
3 Sept 2026, 01:36119,787-28
1 Sept 2026, 22:13119,815+30
1 Sept 2026, 00:55119,785+36
30 Aug 2026, 22:04119,749+27
29 Aug 2026, 23:37119,722+31
28 Aug 2026, 23:14119,691-5
28 Aug 2026, 00:53119,696+8
27 Aug 2026, 03:42119,688+10
26 Aug 2026, 04:43119,678-25
25 Aug 2026, 02:53119,703+6
23 Aug 2026, 20:13119,697+24
22 Aug 2026, 01:27119,673-35
20 Aug 2026, 16:46119,708first reading

Engagement

38 posts held, back to 17 May 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 102 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
6.94%
avg views ÷ 120,035 subscribers
Avg views / post
8,330
12 posts measured
Reaction rate
0.086%
reactions ÷ views · ER floor
Posts in window
12
of 38 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. It is computed over the 10 of 12 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 22 September 2026
Posts held38 (17 May 202622 September 2026)
Views total99,980
Reactions total83
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken22 Sept 2026, 21:50 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
1,590
Videos
34
Links
489

Lifetime counters from Telegram’s own channel header, read 22 September 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
30s
Average length
5s

Measured directly from 6 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

634 reactions across 35 posts, in 2 distinct kinds. The most used accounts for 91.6% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍58191.6%
🤔538.36%

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 36 of the 38 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 668 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 38 most recent posts we hold, published 17 May 2026 to 22 September 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
4
across the posts below
Posts paid on
3
of 38 we hold a reading for · 8%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @duosoft_books. 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 38 most recent posts we hold for this entry, published 17 May 2026 to 22 September 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.

Recent posts

22 Sept 2026, 13:09 UTC≈1,080 viewsread 22 September 2026
Photo

Интерьер для жизни Канал дизайнера интерьера про ремонт без переделок, вневременные решения, семейные квартиры и хоумстейджинг. Много полезных подборок, реальных проектов и советов, которые помогают не утонуть в ремонте. 👉 Открыть канал

18 Sept 2026, 08:28 UTC≈6,390 views8 reactionsread 22 September 2026
Photo

📙 День Шакала ✍🏻 Фредерик Форсайт 🎯 Политический детектив Погрузитесь в захватывающий мир политического детектива с книгой «День Шакала» от Фредерика Форсайта. Этот роман сделал автора знаменитым и заложил основу его литературного авторитета. «День Шакала» — это история о том, как тайная террористическая организация нанимает профессионального убийцу для устранения генерала Де Голля. Напряжённый сюжет держит до посл

👍8

17 Sept 2026, 12:02 UTC≈2,820 viewsread 22 September 2026

📚 Тысячи классических книг в удобной читалке Никаких подписок и навязчивой рекламы. Скачали книгу и читайте офлайн где угодно. 👉 Скачать в Google Play

11 Sept 2026, 13:38 UTC≈10,400 views11 reactionsread 22 September 2026
Photo

📙 Тень ✍🏻 Евгений Шварц 🎯 Драматургия «Тень» — одна из самых известных пьес Евгения Львовича Шварца. Она написана по мотивам сказки Ганса Христиана Андерсена и представляет собой драматическое произведение, в котором переплетаются ирония, юмор и глубокие философские размышления. В этой пьесе автор исследует тему тени как символа скрытых сторон человеческой натуры. Произведение затрагивает вопросы любви, власти, доб

👍11

10 Sept 2026, 08:10 UTC≈8,760 views16 reactionsread 22 September 2026
Photo

📙 Собачье сердце ✍🏻 Михаил Булгаков 🎯 Советская классическая проза «Собачье сердце» — это произведение Михаила Булгакова, которое не оставляет равнодушным никого, кто с ним знакомится. В нём вы найдёте увлекательный сюжет и глубокий смысл, характерный для творчества автора. В книге рассказывается об удивительном эксперименте гениального доктора. Повесть «Собачье сердце» показывает читателям, как далеко может зайти

👍14🤔2

9 Sept 2026, 08:05 UTC≈3,430 views3 reactionsread 22 September 2026
Video

📚Тратишь время на поиск книг больше, чем на чтение? Бот подберёт книгу под настроение за 1 минуту! 📖 Что почитать? - подбор по жанрам 🎲 Удиви меня! - случайная книга дня 🔍 Поиск - по названию/автору + можно заказать ⭐️ В ПРЕМИУМ расширенные опции и подборки, чтобы выбирать ещё быстрее и точнее. 👉 Переходи в бота, запускай поиск: @what_to_read_rec_bot

👍3

6 Sept 2026, 06:33 UTC≈9,970 views8 reactionsread 22 September 2026
Photo

📙 Сумма технологии ✍🏻 Станислав Лем 🎯 Философия «Сумма технологии» Станислава Лема — это философское произведение, в котором автор размышляет о судьбах цивилизации, будущем человечества и роли технологий в нём. Книга представляет собой сборник эссе, пронизанных «всеобщеинженерным» лейтмотивом. В «Сумме технологии» Лем поднимает важные вопросы о прошлом и будущем человечества, о природе техники и её влиянии на общес

👍7🤔1

5 Sept 2026, 16:28 UTC≈13,400 views4 reactions2 Starsread 22 September 2026

📚 Тысячи классических книг в удобной читалке Никаких подписок и навязчивой рекламы. Скачали книгу и читайте офлайн где угодно. 👉 Скачать в Google Play

👍4

2 Sept 2026, 17:36 UTC≈12,200 views7 reactionsread 22 September 2026
Photo

📙 Игра против всех ✍🏻 Павел Шестаков 🎯 Криминальный детектив Если вы любите криминальные детективы, то книга Павла Шестакова «Игра против всех» — это то, что вам нужно. В этом захватывающем произведении вас ждёт запутанное дело, которое сначала кажется простым и очевидным, но быстро приводит в тупик. Игорю Мазину предстоит подключиться к расследованию загадочного «дела о сейфе». Ему необходимо доказать невиновность

👍7

28 Aug 2026, 11:31 UTC≈15,000 views19 reactionsread 22 September 2026
Photo

📙 Идиот ✍🏻 Федор Достоевский 🎯 Русская классическая проза, Классическая проза ХIX века «Идиот» — один из самых известных романов Фёдора Достоевского, в котором писатель с глубоким психологизмом раскрывает сложные человеческие судьбы и нравственные дилеммы. В центре сюжета — история князя Мышкина, Парфена Рогожина и Настасьи Филипповны. Их судьбы переплетаются в запутанном клубке чувств и страстей, заставляя читател

👍19

25 Aug 2026, 05:13 UTC≈8,270 views1 reactionsread 22 September 2026
Photo

ИНТЕРЬЕР ДЛЯ ЖИЗНИ - пожалуй, лучший канал для тех, кто хочет сделать ремонт без ошибок. Только проверенные решения и идеи для удобного дома.

👍1

24 Aug 2026, 11:21 UTC≈8,260 views6 reactions1 Starread 22 September 2026
Photo

📙 Дочь палача и театр смерти ✍🏻 Оливер Пётч 🎯 Исторический детектив Если вы любите исторические детективы и хотите погрузиться в атмосферу XVII века, то книга «Дочь палача и театр смерти» Оливера Пётча – это то, что вам нужно. Вы познакомитесь с Якобом Куизлем – грозным палачом из древнего баварского городка Шонгау, который вершит правосудие своими руками. В 1670 году в деревне Обераммергау начинаются репетиции тра

👍6

Showing the 12 most recent of 38 posts we hold for @duosoft_books. 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

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.

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.

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Рыба Лоцман
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#61
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#63
"Не так"
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#65
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MedConsult Translation
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@yantik_cap_ru · 1,387
#76
"Гармония" г. Можайска
@GarmoniyaMozh · 643
#77
Аудиокниги | Классика
@audiobook_classic · 1,342 (as read 14 August 2026)
#78
Аня Сёмочкина
@a_semochkina · 275
#79
Revva Astro
@revva_astro · 613
#80
Ольга Крячко | Kizomba + Afro dance
@kryachko_dance · 611
#81
Официальный Владимир
@VladimirAdministration · 4,466
#82
Джеральд Даррелл и другие животные
@GeraldDurrell_tg · 8,015
#83
Anton Lomaev
@anton_lomaev · 1,716
#84

Read from Telegram’s recommendation API, most recently 14 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.

Классические книги
@freeclassicbooks · 111,858
Telegram ranks this channel #1 of 72 here — alongside 71 others — read 14 August 2026
📚 Любовные романы
@newlovebooks · 43,838
Telegram ranks this channel #2 of 54 here — alongside 53 others — read 28 August 2026
Книжное братство
@flibusta · 163,312
Telegram ranks this channel #4 of 94 here — alongside 93 others — read 12 August 2026
Аудиокниги | Книги
@audio_freebook · 23,687
Telegram ranks this channel #8 of 63 here — alongside 62 others — read 17 September 2026
Фриланс и Удаленная работа | let media
@let_media · 64,263
Telegram ranks this channel #36 of 76 here — alongside 75 others — read 21 August 2026

This channel appears in 5 seed channels' Telegram-generated recommendation lists 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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“Книжный Вестник” (@duosoft_books), 120,035 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/duosoft_books.

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.