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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 |
|---|---|
| Type | Channel |
| 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 |
| Created | 6 September 2018 — measured — cross-checked against a third-party dataset (ext.tg_channel) |
| First recorded | 6 August 2026 |
| Last confirmed live | 17 September 2026 |
| Measurements held | 35 |
| Confirmed unchanged | 1 time, most recently 17 September 2026 |
| On Telegram | t.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
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 17 Sept 2026, 21:38 | 120,035 | +56 |
| 15 Sept 2026, 19:02 | 119,979 | +46 |
| 14 Sept 2026, 04:41 | 119,933 | +49 |
| 12 Sept 2026, 12:15 | 119,884 | -10 |
| 10 Sept 2026, 09:39 | 119,894 | +60 |
| 7 Sept 2026, 01:39 | 119,834 | +39 |
| 4 Sept 2026, 11:58 | 119,795 | +8 |
| 3 Sept 2026, 01:36 | 119,787 | -28 |
| 1 Sept 2026, 22:13 | 119,815 | +30 |
| 1 Sept 2026, 00:55 | 119,785 | +36 |
| 30 Aug 2026, 22:04 | 119,749 | +27 |
| 29 Aug 2026, 23:37 | 119,722 | +31 |
| 28 Aug 2026, 23:14 | 119,691 | -5 |
| 28 Aug 2026, 00:53 | 119,696 | +8 |
| 27 Aug 2026, 03:42 | 119,688 | +10 |
| 26 Aug 2026, 04:43 | 119,678 | -25 |
| 25 Aug 2026, 02:53 | 119,703 | +6 |
| 23 Aug 2026, 20:13 | 119,697 | +24 |
| 22 Aug 2026, 01:27 | 119,673 | -35 |
| 20 Aug 2026, 16:46 | 119,708 | first reading |
Engagement
38 posts held, back to 17 May 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 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.
| Window | Rolling 30 days · latest post in window 22 September 2026 |
|---|---|
| Posts held | 38 (17 May 2026 – 22 September 2026) |
| Views total | 99,980 |
| Reactions total | 83 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 22 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.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 581 | 91.6% | |
| 🤔 | 53 | 8.36% |
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
📙 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…
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📙 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…
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📙 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 …
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👍3
📙 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…
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📚 Тысячи классических книг в удобной читалке Никаких подписок и навязчивой рекламы. Скачали книгу и читайте офлайн где угодно. 👉 Скачать в Google Play
👍4
📙 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…
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📙 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…
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ИНТЕРЬЕР ДЛЯ ЖИЗНИ - пожалуй, лучший канал для тех, кто хочет сделать ремонт без ошибок. Только проверенные решения и идеи для удобного дома.
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📙 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…
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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
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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
@freeclassicbooks · 111,858#1
@newlovebooks · 43,838#2
@flibusta · 163,312#3
@hotdetectivebooks · 16,526 (as read 14 August 2026)#4
@chtetcs · 6,576#5
@booksfox · 47,971#6
@omikla · 8,760#7
@audio_freebook · 23,687#8
@ryba_lotsman · 52,481#9
@mifbooks · 54,686#10
@kniginovinkiepub · 2,477#11
@books_and_booklovers · 575#12
@anikorros_satisfy · 609#13
@azbookaknigogoliki · 27,254#14
@biblio8 · 58,417 (as read 14 August 2026)#15
@prochitalanapisala · 4,449#16
@Fuguesblog · 4,886#17
@helgarunawaybooks · 368#18
@yaseychaschitayu · 19,045#19
@literary_tg · 18,893#20
@osmyslen · 12,488#21
@ink_days · 279#22
@prochitano_book · 1,419#23
@books_for_women_t · 1,299#24
@evening_book · 509#25
@tsitaty_dnevniki_stikhi · 165,339#26
@eksmo · 57,808#27
@moe_obrazovanie · 229,340#28
@peresmeshniki · 7,951#29
@Klassicheskaya_literatura · 5,701#30
@books_reviews · 12,919#31
@zapiski_redaktorki · 94,724#32
@phantombooks · 13,601#33
@knigi_literatura · 261,082#34
@bookinero · 11,960#35
@bookshappyend · 14,140#36
@ruGrammar · 121,218#37
@Sense_catcher · 814#38
@fantsbook · 3,061#39
@papa_is_calling · 2,578#40
@P_R_O_traffic · 21,119#41
@potomprochtooo · 7,519#42
@panchenko_voice · 816#43
@booksbands · 287#44
@knigochervivost · 2,822#45
@bookninja · 18,139#46
@politicsandsociety_3 · 239#47
@hellomaryka · 1,613#48
@prust_posovetuet · 2,168#49
@eglit_m · 6,424#50
@wendy_writer · 815#51
@papawillcall · 9,991#52
@nebuzova · 685#53
@feeling_club · 273#54
@masterskay_knig · 3,012#55
@brokoledu · 43,105#56
@tvbooks · 1,172#57
@fromvaleriyaforwomen · 748#58
@audio_performance · 13,261#59
@knigsovet · 9,212#60
@mimikriyabooks · 395#61
@textvtexte · 22,355#62
@readers_books · 1,092#63
@netak_program · 838#64
@content_spec · 610#65
@bort_dnevnik · 168#66
@medconsult_translation · 1,090#67
@nadotextit · 564#68
@let_media · 64,263#69
@kristyboo · 446#70
@uplogos · 3,015#71
@book_Alps · 4,963#72
@zlibrary_archive2 · 7,868#73
@oneoscarforleo · 1,930 (as read 14 August 2026)#74
@id_daily · 3,305#75
@yantik_cap_ru · 1,387#76
@GarmoniyaMozh · 643#77
@audiobook_classic · 1,342 (as read 14 August 2026)#78
@a_semochkina · 275#79
@revva_astro · 613#80
@kryachko_dance · 611#81
@VladimirAdministration · 4,466#82
@GeraldDurrell_tg · 8,015#83
@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.
@freeclassicbooks · 111,858
Telegram ranks this channel #1 of 72 here — alongside 71 others — read 14 August 2026
@newlovebooks · 43,838
Telegram ranks this channel #2 of 54 here — alongside 53 others — read 28 August 2026
@flibusta · 163,312
Telegram ranks this channel #4 of 94 here — alongside 93 others — read 12 August 2026
@audio_freebook · 23,687
Telegram ranks this channel #8 of 63 here — alongside 62 others — read 17 September 2026
@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.