Telegram RegisterThe public register of Telegram
Telegram profile photo for Books

Channel

Books

@books

8 usernames

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · Reactions · Stars · Posts · Citations · Telegram's recommendations · Domains linked from posts · Cite this entry

216,999subscribers

+3,337 since we began measuring on 5 August 2026

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

Register entry

Telegram ID-1001616159980
TypeChannel
Usernames@audible @audiobook @bookbot @books @bookshub @ebooks @reading @selfhelp
Created1 November 2022 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live25 October 2026
Measurements held371
Confirmed unchanged1 time, most recently 25 October 2026
On Telegramt.me/books

Topic

Gambling & betting — 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 8 August 2026 and assigned it the closest of 31 fixed categories, at 98% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 2 other registered channels. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@books/668 · this entry21 Jun 2026, 11:51 UTC@AudiobooksArchive/51221 Jun 2026, 11:51 UTC1.00under a minute
@books/670 · this entry22 Jun 2026, 19:04 UTC@AudiobooksArchive/51422 Jun 2026, 19:04 UTC1.00under a minute
@books/676 · this entry9 Jul 2026, 20:26 UTC@AudiobooksArchive/5169 Jul 2026, 21:44 UTC1.0078 minutes
@books/683 · this entry15 Jul 2026, 14:54 UTC@AudiobooksArchive/52015 Jul 2026, 14:54 UTC1.00under a minute
@books/687 · this entry22 Jul 2026, 20:34 UTC@AudiobooksArchive/52122 Jul 2026, 20:34 UTC1.00under a minute
@books/701 · this entry28 Jul 2026, 21:09 UTC@AudiobooksArchive/52728 Jul 2026, 21:09 UTC1.00under a minute
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@AudiobooksArchive9 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (9–0)
@books_rec8 (8/8 hand-verifiable sample passed)1.00under a minutethis entry (8–0)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 0 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 11 comparable posts for this entry, running 21 June 2026 to 5 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 3, the earliest publisher we hold is @books — which is this entry. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_source, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 2 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

213,661216,999215,3305 August 202625 October 2026
371 measurements spanning 81 days, net +3,337. 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 213,160–217,500 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 371
Measured (UTC)SubscribersChange
25 Oct 2026, 14:00216,999+26
25 Oct 2026, 10:15216,973-3
25 Oct 2026, 08:56216,976+18
25 Oct 2026, 05:36216,958+21
25 Oct 2026, 00:20216,937+1
24 Oct 2026, 23:48216,936+2
24 Oct 2026, 22:11216,934+32
24 Oct 2026, 17:45216,902+13
24 Oct 2026, 16:06216,889+23
24 Oct 2026, 09:49216,866+4
24 Oct 2026, 08:27216,862+30
24 Oct 2026, 02:05216,832+1
24 Oct 2026, 01:38216,831no change
24 Oct 2026, 01:29216,831-5
24 Oct 2026, 00:56216,836+21
23 Oct 2026, 17:27216,815+19
23 Oct 2026, 14:11216,796-4
23 Oct 2026, 09:40216,800+15
23 Oct 2026, 06:05216,785+15
23 Oct 2026, 03:17216,770first reading

Engagement

35 posts held, back to 21 June 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 172 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
13.6%
avg views ÷ 216,999 subscribers
Avg views / post
29,400
9 posts measured
Reaction rate
0.206%
reactions ÷ views · ER floor
Posts in window
9
of 35 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
WindowRolling 30 days · latest post in window 18 October 2026
Posts held35 (21 June 2026 – 18 October 2026)
Views total264,760
Reactions total546
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken25 Oct 2026, 05:57 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.

Reaction mix

3,004 reactions across 35 posts, in 4 distinct kinds. The most used accounts for 73.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤2,19973.2%
👍43614.5%
❤‍🔥2357.82%
✍1344.46%

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 35 of the 35 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 3,004 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 35 most recent posts we hold, published 21 June 2026 to 18 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
10
across the posts below
Posts paid on
7
of 35 we hold a reading for · 20%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @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 35 most recent posts we hold for this entry, published 21 June 2026 to 18 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.

Recent posts

18 Oct 2026, 15:01 UTC≈3,740 views6 reactionsread 19 October 2026

Guys, here’s a channel worth reading: our partners @geo_grandmasters deliver unique content daily – forgotten historical insights and fresh analysis you won't find elsewhere. This isn't just another news aggregator. Worth keeping in your subscriptions https://t.me/+k7bkRdAfzCxhMWZi

👍3❤2❤‍🔥1

16 Oct 2026, 04:01 UTC≈3,730 views11 reactionsread 16 October 2026

Shoutout to longtime friends @geo_grandmasters — one of the best channels for unique daily content. If you want to understand geopolitics and military conflicts from a deeper perspective (not just skim headlines), this is a must-subscribe. Highly recommended: https://t.me/+iZm7F1om2qQ0Njdi

❤7👍2✍1❤‍🔥1

11 Oct 2026, 20:52 UTC≈46,600 views158 reactions2 Starsread 25 October 2026
Photo

Every human being is walking toward something they believe is missing People are attracted to what they themselves do not possess. The lonely seek belonging. The uncertain seek confidence. The fearful seek strength. The ordinary seek greatness. The confused seek certainty. The poor seek wealth. The wealthy seek meaning. The famous seek peace. The powerful seek trust. “Every human being… is walking toward something…

❤126👍17❤‍🔥13✍2

11 Oct 2026, 15:57 UTC≈4,480 views46 reactionsread 12 October 2026

Whoever online is Now Lucky 🤩

❤27✍8👍6❤‍🔥5

2 Oct 2026, 23:34 UTC≈70,100 views152 reactions2 Starsread 25 October 2026
Photo

Life is not going to wait for you Every person you meet had a life before you and may have a life after you. Sometimes your paths cross only briefly, but that doesn’t make the moment you shared meaningless. The same is true of life itself. There may never be a perfect time when everything becomes quiet, easy, and under control. If something matters to you, don’t keep waiting for life to make space for it. Life kee…

❤123👍15❤‍🔥14

2 Oct 2026, 17:39 UTC≈21,100 views15 reactionsread 10 October 2026

💧 Rainbet is the #1 Non-KYC crypto casino & sportsbook with instant withdrawals! Use our affiliate link or code: books For 20% rakeback boost & more! ⚡️ 💧 rainbet.com $25,000 Daily Race $100,000 Weekly Race $500,000 Monthly Race $20,000 Weekly Raffle And many more live prize pools @rainbetcom

❤14👍1

27 Sept 2026, 21:12 UTC≈75,900 views114 reactions2 Starsread 25 October 2026
Photo

Every strong story needs a challenge The strongest stories aren’t built around information alone. They’re built around challenges—external forces you can’t control, internal friction within a team or organization, and personal fears or doubts that live inside you. The deeper the challenge, the more powerful the story can become. But good storytelling starts before technique. First get clear on what you’re trying t…

❤88👍11❤‍🔥8✍7

25 Sept 2026, 16:03 UTC≈35,000 views21 reactionsread 10 October 2026

💧 Rainbet is the #1 Non-KYC crypto casino & sportsbook with instant withdrawals! Use our affiliate link or code: books For 20% rakeback boost & more! ⚡️ 💧 rainbet.com $25,000 Daily Race $100,000 Weekly Race $500,000 Monthly Race $20,000 Weekly Raffle And many more live prize pools @rainbetcom

❤18👍3

18 Sept 2026, 22:10 UTC≈90,800 views139 reactionsread 25 October 2026
Photo

A meaningful life requires more than happiness A fulfilling life isn’t built on pleasure alone. Happiness comes from a combination of enjoyment, satisfaction, and a sense that your life has meaning. But meaning often requires vulnerability. Love, relationships, and connection involve the possibility of rejection—and avoiding that pain completely can also mean avoiding experiences that give life depth. Don’t build …

❤112❤‍🔥13👍13✍1

18 Sept 2026, 16:18 UTC≈44,000 views10 reactionsread 10 October 2026

💧 Rainbet is the #1 Non-KYC crypto casino & sportsbook with instant withdrawals! Use our affiliate link or code: books For 20% rakeback boost & more! ⚡️ 💧 rainbet.com $25,000 Daily Race $100,000 Weekly Race $500,000 Monthly Race $20,000 Weekly Raffle And many more live prize pools @rainbetcom

❤10

Showing the 12 most recent of 35 posts we hold for @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.

Mentions

Named by 63 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

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.

Books Hub: Free Ebook & Audiobook
@bookshub25 · 275,707
#1
eBook Room
@eBookRoom · 335,819
#2
Bookishfrenzy | Premium Ebooks and Audiobooks
@premium_ebooks · 100,706
#3
Best books | Ebooks & Audiobooks | Top lists | Recommendations
@book_lists · 31,544
#4
E-book Emporium!
@Ebook_Emporium · 14,982
#5
eBooks Cafe
@eBooksCafe · 62,220
#6
English Books Magazines Novels
@Novels_English_Books_Magazines · 215,407
#7
Quotes Collection • Quotes Archive • Book Snippets
@Audiobooks_collection · 30,333
#8
𝐁𝐎𝐎𝐊𝐒 𝐊𝐇𝐀𝐙𝐀𝐍𝐀™️ ( книги Сокровище)
@BOOKS_KHAZANA · 42,431
#9
𝗦𝗲𝗹𝗳 𝗜𝗺𝗽𝗿𝗼𝘃𝗲𝗺𝗲𝗻𝘁 𝗕𝗼𝗼𝗸𝘀
@selfimprovementbooks1 · 44,486
#10
Forex MT4 MT5 Indicators
@Fx_Indicator_MT4_MT5 · 11,405
#11
Business Library 📚
@mindcrypto · 34,136
#12
Brighten Up Your Mind
@Brighten_Up_Your_Mind · 12,701
#13
BUSINESS BOOKS 101
@businessbooks101 · 30,590
#14
BOOK HEAVEN 📚
@BUYM_Gallery · 10,235
#15
Business Audiobooks
@BusinessAudiobooksss · 17,738
#16
Books | Selfhelp | Nonfiction
@books_rec · 62,732
#17
Fiction And Non Fiction Books PDF
@storybookspdf · 16,091
#18
BUSINESS BOOKS PDF 102
@businessbookspdf101 · 25,198
#19
LIFE TIPS
@the_life_tips · 113,148
#20
Billionaire's Mindset 💰
@BillionairesTM · 46,795
#21
Velvet Pages | eLibrary 🥂
@Bookslibraryofficial · 11,039
#22
BookWorld Atomic Habits Rich Dad Poor Dad The Alchemist Ikigai The 5 Am Club Think And Grow Rich The 48 Laws Of Power
@BookWorldReal · 31,990
#23
GENERAL KNOWLEDGE ™ 💡
@General_KnowledgeTM · 68,822
#24
Рodcasts Аudio
@podcasts_audioo · 3,639
#25
Book Refers - List & Recommendations
@bookrefers · 2,067
#26
Books
@spiritualbookstg · 13,817
#27
𝐒𝐞𝐫𝐞𝐧𝐢𝐭𝐲 + 𝐖𝐞𝐚𝐥𝐭𝐡™
@SerenityWealth · 67,506
#28
School Of Wealth 🤑
@Success_Skills_keys · 43,023
#29
BEXQQQ
@bexqqq · 7,543
#30
Econo - Economy.Finance.Money
@financ · 8,417
#31
Free PDF Books on Management, Commerce, Business, Economics, HR, Leadership, Strategy, Communication, Entrepreneurship
@ProfVermaVishal · 34,216
#32
𝗦𝘂𝗰𝗰𝗲𝘀𝘀 𝗕𝗼𝗼𝗸𝘀™-Self help books English
@success_books_2 · 16,619
#33
Book library
@ebusineessbookpdff · 9,867
#34
English Novels
@EnglishNovels_Classic · 23,111
#35
📚Books $ Crypto🧠
@Crypto_News_Ke · 16,068
#36
Meet ChatGPT!
@meet_chatgpt · 18,122
#37
Now I Know 👌
@inowknow · 17,108
#38
Hi-Tech Daily News
@hitechdailynews · 16,365
#39
Rare Books Of India
@Indian_History_Books_PDF_UPSC · 57,945
#40
Breathtaking Technologies
@softwareninja · 13,024
#41
Earth, Galaxy, Universe
@ourearthgalaxy · 11,441
#42
The English Box | Английский язык
@kappienglish · 36,004
#43
BOOK CASTLE 💖📚
@Ebookpdfaudiobooks · 21,287
#44
Economic Power​
@The_Economic_Power · 853
#45
English Horizon | Все на английском
@everythingenglishua · 31,586
#46
Secrets of More Money
@findtechjobs · 6,528
#47
IELTS|Newspapers & Magazines|English
@eMagzinewspars · 61,865
#48
PSYCHO W🌍RLD ®
@Psycho_Motivations · 110,405
#49
Traveller
@yourtraveller · 11,654
#50
Buzz 💬 Quotes
@buzzquotes · 27,191
#51
Muscat English | IELTS, TOEFL + репетиторы, преподаватели, студенты
@muscatenglish · 61,515
#52
MONEY TIPS
@audiobooks_business101 · 4,360
#53
Infinity ∞ Thoughts
@feelingsworldx · 90,614
#54
Digital Dreams :: Midjourney | Stable Diffusion | Leonardo | Runway | Generative AI
@ai_art_beauty_image_midjourney · 8,452
#55
Buzz 📚 History
@buzzhistory · 50,509
#56
Linkedin Learning
@linkedin_learning · 217,441
#57
😋 Hungry Heads 🧠 Tech, science, quizzes and more
@hungry_heads_eng · 1,643
#58
Science4all - Best Scientific Channel
@scientific · 10,469
#59
E-Book Bazaar
@booksbazaaar · 7,075
#60
ebookspdfdownloads
@Ebookspdfdownloads · 3
#61
Spiritual Library
@SpiritualLibrary · 19,343
#62
Investmen - Business.Startups.Investments
@investmen · 8,337
#63
eng books • collection
@englishbooks_collection · 71,396
#64
Everything English / IELTS / Newspapers / Magazines/ Economist
@itsallinenglish · 88,687
#65
🟣🟢 English Trunk | Английский язык
@trunkietrunk · 54,502
#66
Time Machine
@whichtimes · 17,980
#67
Psychology books
@bookspsychology101 · 31,910
#68
Archive of newspapers & magazines
@newspaper_archive · 36,767
#69
Book review with BABILA✨
@bookreviewizB · 4,982
#70

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.

Books | Selfhelp | Nonfiction
@books_rec · 62,732
Telegram ranks this channel #2 of 69 here — alongside 68 others — read 21 August 2026
Books Hub: Free Ebook & Audiobook
@bookshub25 · 275,707
Telegram ranks this channel #2 of 64 here — alongside 63 others — read 12 August 2026
Audio Books Archive
@AudiobooksArchive · 131,166
Telegram ranks this channel #4 of 61 here — alongside 60 others — read 13 August 2026
eBook Room
@eBookRoom · 335,819
Telegram ranks this channel #4 of 62 here — alongside 61 others — read 12 August 2026
English Books Magazines Novels
@Novels_English_Books_Magazines · 215,407
Telegram ranks this channel #5 of 72 here — alongside 71 others — read 12 August 2026
eBooks Cafe
@eBooksCafe · 62,220
Telegram ranks this channel #7 of 70 here — alongside 69 others — read 21 August 2026
Books in English | Умные книги на английском | Non-fiction
@muscatnonfiction · 66,432
Telegram ranks this channel #9 of 62 here — alongside 61 others — read 21 August 2026
BOOK CASTLE 💖📚
@Ebookpdfaudiobooks · 21,287
Telegram ranks this channel #22 of 48 here — alongside 47 others — read 24 September 2026
Motivation and Psychology
@motivation202300 · 28,389
Telegram ranks this channel #30 of 65 here — alongside 64 others — read 9 September 2026
Harvard Business Review
@hbr_uz · 28,802
Telegram ranks this channel #36 of 58 here — alongside 57 others — read 10 September 2026
Books Mania
@booksmania · 76,339
Telegram ranks this channel #40 of 72 here — alongside 71 others — read 19 August 2026
Spiritual Library
@SpiritualLibrary · 19,343
Telegram ranks this channel #44 of 61 here — alongside 60 others — read 2 October 2026
The Economist (audio + pdf) | Экономист| Английский
@economistenglish · 32,370
Telegram ranks this channel #55 of 57 here — alongside 56 others — read 7 September 2026
Curiosity Tea ☕️
@Curiosity_Tea · 75,725
Telegram ranks this channel #62 of 86 here — alongside 85 others — read 19 August 2026

This channel appears in 14 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Domains linked from posts

2 domains this channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.

rainbet.com3 posts · 22 July 2026 – 5 August 2026 · example post
re-ad.medium.comregistrable domain: medium.com1 post · 15 July 2026 – 15 July 2026 · example post

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 25 October 2026 — this entry's latest reading, not the date you are reading this.

“Books” (@books), 216,999 subscribers as measured 25 October 2026. Telegram Register, tgregister.com/channel/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.