⏰ Chorsu filiali: 08:00-21:00
⏰ Seoul Mun filiali: 10:00-00:00
🌐 Saytimiz: https://qamar.uz/?utm_source=telegram&utm_medium=bio
🚗 O'zbekiston bo'ylab yetkazib berish xizmati mavjud!
☎️ +998 99 845-44-00
Buyurtma uchun: @qamar_delivery
Created
5 December 2016 — measured — cross-checked against a third-party dataset (ext.tg_channel)
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 20 August 2026 and assigned it the closest of 31 fixed categories, at 73% 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
36 measurements spanning 50 days, net -1,562. 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 44,613–46,643 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 36
Measured (UTC)
Subscribers
Change
25 Sept 2026, 03:59
44,847
-156
18 Sept 2026, 23:21
45,003
-37
16 Sept 2026, 15:39
45,040
-25
14 Sept 2026, 21:21
45,065
-70
13 Sept 2026, 04:21
45,135
-51
11 Sept 2026, 03:18
45,186
-87
8 Sept 2026, 08:38
45,273
-86
5 Sept 2026, 04:18
45,359
-100
3 Sept 2026, 10:23
45,459
-29
2 Sept 2026, 07:53
45,488
-27
1 Sept 2026, 06:03
45,515
-46
31 Aug 2026, 07:25
45,561
-40
30 Aug 2026, 05:23
45,601
-36
29 Aug 2026, 07:23
45,637
-12
28 Aug 2026, 07:13
45,649
-16
27 Aug 2026, 07:59
45,665
-50
26 Aug 2026, 06:29
45,715
-43
25 Aug 2026, 05:43
45,758
-64
24 Aug 2026, 08:13
45,822
-56
22 Aug 2026, 12:23
45,878
first reading
Engagement
174 posts held, back to 3 August 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 107 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
13.8%
avg views ÷ 44,847 subscribers
Avg views / post
6,210
86 posts measured
Reaction rate
1.18%
reactions ÷ views · ER floor
Posts in window
86
of 174 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 28 September 2026
Posts held
174 (3 August 2026 – 28 September 2026)
Views total
533,630
Reactions total
6,282
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
28 Sept 2026, 21:30 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
≈11,000
Videos
≈2,720
Links
≈5,240
Lifetime counters from Telegram’s own channel header, read 28 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
43m 16s
Average length
39s
Measured directly from 66 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
12,254 reactions across 167 posts, in 30 distinct kinds. The most used accounts for 48.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
5,930
48.4%
😁
1,559
12.7%
🔥
1,317
10.7%
❤🔥
904
7.38%
💘
432
3.53%
👍
420
3.43%
🕊
400
3.26%
⚡
399
3.26%
😢
169
1.38%
🎉
120
0.979%
🤩
115
0.938%
😭
114
0.93%
💯
82
0.669%
🥰
62
0.506%
😍
61
0.498%
👏
29
0.237%
🤔
26
0.212%
🌚
23
0.188%
🏆
13
0.106%
👀
11
0.09%
10 further kinds
68
0.555%
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 174 of the 174 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 12,790 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 174 most recent posts we hold, published 3 August 2026 to 28 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
6
across the posts below
Posts paid on
5
of 174 we hold a reading for · 3%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @qamarbooks. 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 174 most recent posts we hold for this entry, published 3 August 2026 to 28 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.
Qalbingizdan joy olgan kitob qaysi? 📚
📚 Do‘konimiz xodimlari hamda mijozlarimizga ikki savol bilan yuzlandik.
Balki javoblardan so‘ng, sizning ham o‘sha kitoblarga bo‘lgan qiziqishingiz yana ham oshsa, ajab emas.
📚 Kimningdir oz bo‘lsa ham yaxshi tomonga o‘zgarishiga sabab bo‘lgan asar qaysi ekani bizga ham qiziq, javoblar turlicha.
Siz ham o‘z javoblaringizni izohlarda yozib qoldiring. ✍️
📌 Manzillar:
• Alisher…
Haftaning TOP 10 kitoblari bilan tanishing! 🏆
📚 Oʻtgan hafta davomida eng koʻp xarid qilingan kitoblar orasida siz mutolaa qilgan kitoblar ham boʻlishi mumkin. Keling, ularni koʻrib chiqamiz:
1️⃣ “Devona” — 53.000 soʻm;
2️⃣ “Feruza” — 65.000 soʻm;
3️⃣ “Arosat” — 50.000 soʻm;
5️⃣ “Uzrnoma” — 45.000 soʻm;
5️⃣ “Zamonaviy taxnologiyalar va bola” — 52.000 soʻm;
6️⃣ “Nabaviy masjid atrofidagi sahobalarning uylari” — 45.0…
Qasos, sabr, takabburlik va umid haqida mashhur asar 📜
📰 Aleksandr Dyuma qalamiga mansub “Graf Monte-Kristo“ asari jahon adabiyotining eng mashhur sarguzasht va psixologik romanlaridan biri hisoblanadi.
Soflik, adolat va dahshatli xiyonatga duch kelgan yosh dengizchi Edmon Dantes taqdiri ushbu asarda talqin qilinadi.
🏞 Asar qahramonining yagona maqsadi unga yaxshilik qilganlarni mukofotlash va uni xiyonatkorona qa…
“Qamar” kitoblar do‘koni jamoasi navbatdagi yarmarkada
📚 25-sentabr kuni “Qamar” kitoblar do‘koni jamoasi “Yangi O‘zbekiston” universitetida bo‘lib o‘tgan yarmarkada ishtirok etdi.
Universitetning jo‘shqin muhiti va kitoblar bilan tanishayotgan kitobxonlar bilan kunimiz yanada yorqin va maroqli o‘tdi.
📚 Talabalar, xodimlar, tashrif buyurgan mehmonlarning do‘konimizda sotilayotgan o‘zbek va jahon adabiyotlari hamda…
Kitobni muqovasining rangiga qarab tanlab ko‘rganmisiz? 📚
📚 Biz bugun kichik tajriba qildik, kitoblarni rangiga qarab tanladik!
Oq, yashil, qizil va ko‘k rangdagi kitoblar orasidan hamkasblarimiz o‘ziga yoqqanlarini tavsiya qildi.
🌟 Siz hozir qaysi rangdagi kitobni o‘qiyapsiz?
O‘z javobingizni izohlarda yozib qoldiring! ✏️
📌 Manzillar:
• Alisher Navoiy 42. Mo‘ljal: Chorsu, Sobiq Gum ro‘parasi.
• Seoul Mun koʻngi…
Jahon kitob bozori qanday ishlaydi? 📚
🎤 “Qiymat” kitobxonlik klubining navbatdagi uchrashuvida “Dinara&Co” nashriyoti rahbari Dinara Dultaeva mehmon bo‘ladi.
Bu safar spikerimiz bilan birga “Mualliflik kitobidan dunyo kitob bozorigacha” mavzusida suhbatlashamiz.
💝 Mavzu nomidan bilish mumkinki, suhbat anchayin keng doirada va muhim ma’lumotlarga boy bo‘ladi.
📍 “Qamar” Seoul Mun filiali
📅 30-sentyabr
🕰 10:00
Darv…
Sovg‘a olishmi yoki ulashish? 🤗
🎀 Sahifamiz obunachilari sovg‘a olishni istashadimi yoki sovg‘a berishni?!
Ikkalasi ham quvonchli lahza, ammo hadya berish orqali ikki hissa quvonchni his etish mumkin. Tez-tez o‘zaro hadyalashib turadigan do‘stlar bu hissini yaxshi bilishadi.
🎁 Do‘konimizdan hadyabop o’ramdagi kitoblarni tayyor holda xarid qilishingiz mumkin.
Qolaversa, sotuvchi-konsultantlar tavsiyasi asosida had…
Oilaviy kitob mutolaasini shakllantiring! 📚
📚 “Alohida mavzu” ko‘rsatuvida kitobxonlik haqida so‘z borar ekan, ustoz Ikrom Sharif doimiy mustaqil kitobxon bo‘lgandan ko‘ra oilaviy kitobxon bo‘lishni alohida ta’kidlab o‘tdi.
Ayniqsa, farzandlar bundan ruhlanishi, keyinchalik bu qadriyatga aylanishini misol qilib keltirdi.
💡 Siz oilangiz bilan so‘nggi bor qaysi kitobni muhokama qildingiz? Yoki qaysi kitobdan boshlam…
❕❕❕❕
Ustozlaringizni bayram hadyalari bilan xursand qiling! 🎉
✍️ “1-oktabr — Ustoz va murabbiylar kuni”da ustozlaringiz uchun qanday sovg‘a olish yoki ularni qanday xursand qilish haqida o‘ylayapsizmi?
Allaqachon bunga yechimni tayyorlab qo‘yganmiz. 💝
💝 “Qamar”da bayram uchun mo‘ljallangan maxsus bokslarni xarid qilishingiz hamda ularni hamyonbop narxlarda, eksklyuziv taklif asosida xarid qilishingiz mumkin.
Bay…
Detektiv asarlar qirolichasi 👑
🔍 Agar siz jumboqlar, kutilmagan burilishlar va ruhiy tahlillarga boy asarlarni xush koʻrsangiz, Agata Kristi ijodi aynan siz uchun!
Uning romanlari butun dunyo boʻylab milliardlab nusxada sotilgan va adabiyot tarixidagi eng koʻp oʻqiladigan detektivlarga aylangan.
📚 Ushbu asarlar sizning qalbingizdan joy olishiga hech shubha qilmaymiz:
• “Katta toʻrtlik” – 36.000 soʻm;
• “Rojer Ekro…
Sinovlar qarshisida iymon kuchi: “Ishqning mehrobi Yusuf“ 📚
🕋 Quduqqa tashlangan begunoh yigit, qullikka sotilgan inson va tuhmat bilan zindonga bandi qilingan mazlum...
Ammo shuncha sinov va mashaqqatlarga qaramay, iymoni va ishonchini hech qachon yoʻqotmagan — Yusuf alayhissalomning qissasi asrlar osha qalblardan joy egallab keladi.
✨ Turk yozuvchisi Hasan Basri Bilginning oʻzbek tilida ilk bor nashr etilgan ush…
❤40❤🔥14🔥4🕊4💯3💘2👍1
Showing the 12 most recent of 174 posts we hold for @qamarbooks. 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.
Posts edited after publishing
@qamarbooks edited 5 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
15 August 2026
Most recent edit
7 September 2026
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 31 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.
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.
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 September 2026 — this
entry's latest reading, not the date you are reading this.
“Qamar kitoblar do‘koni” (@qamarbooks), 44,847 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/qamarbooks.
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.