4 measurements spanning 8 days, net -15. 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 1,087–1,112 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Aug 2026, 13:58
1,090
-14
10 Aug 2026, 20:32
1,104
-5
7 Aug 2026, 19:30
1,109
+4
7 Aug 2026, 00:16
1,105
first reading
Engagement
17 posts held, back to 13 October 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
42.8%
avg views ÷ 1,090 subscribers
Avg views / post
467
1 post measured
Reaction rate
1.28%
reactions ÷ views · ER floor
Posts in window
1
of 17 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 21 July 2026
Posts held
17 (13 October 2025 – 21 July 2026)
Views total
467
Reactions total
6
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
7 Aug 2026, 00:16 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
304 reactions across 15 posts, in 9 distinct kinds. The most used accounts for 39.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
121
39.8%
❤
97
31.9%
👍
39
12.8%
⚡
16
5.26%
🤝
11
3.62%
💯
10
3.29%
👏
6
1.97%
🏆
3
0.987%
👨💻
1
0.329%
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 15 of the 17 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 304reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 17 most recent posts we hold, published 13 October 2025 to 21 July 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
1
across the posts below
Posts paid on
1
of 15 we hold a reading for · 7%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @akbarjon_botiraliev. 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 17 most recent posts we hold for this entry, published 13 October 2025 to 21 July 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.
Bir kuni bir narsani tushunib qoldim, biznesimni man emas, u mani boshqarvotdi
Operatsion ishdan chiqaman deb qo’ygan tizimlarim, manga yengi operatsion ishlarni yuklab qo’yayotgan edi
30 ga yaqin loyiha. 40+ xodim. 100 lab loyiha ichidagi topshiriqlar. Kuniga yuzlab xabarlar…
Mijozlar bilan kommunikatsiya qilishga qiynalishni boshladim, loyihalardagi jarayonlardan ortda qoldim va hodimlar nazoratini yo’qotishni b…
Fokusimiz qayerda?
Yaqinda «01A….AA»li avtoraqamlar partiyasi chiqibdi.
Man bilmasdan qolibman, tanishim telefon qilib sotib olishni tavsiya qildi. Kirib qarasam — hammasi sotilgan. Daqiqalar ichida)
Har bir raqamda 10.000 lab ko’rinshlar. Demak minglab odamlar o'sha kuni telefonda, ayni shu platformada online o’tirgan
Bir narsa o’ylantrib qo’ydi, Fokusimiz qayerda?
Bor kuchimiz va fokusimiz bilan 3 ta A ga harak…
Marketingda haqiqiy "Foyda" qayerda?
Navbatdagi suhbatimiz mehmoni — marketing bozorida o‘z o‘rniga ega, "Foyda" marketing agentligi asoschisi Akbar Botiraliyev bo‘ldi!
Agar siz marketing agentligi qanday qurishda va bu yo‘lda qanday xatolar kutib turgani haqida bilmoqchi bo‘lsangiz, bu sonni o‘tkazib yubormasligingiz kerak.
Suhbatda quyidagi mavzularga to‘xtaldik:
- Bugungi marketing bozoridagi real holat;
- Agen…
5 TA MARKETING MUTAXASSISLARI VA AGENTLIK RAHBARLARINI BEPULGA
LOYIHA YOKI AGENTLIGINI RAZBOR QILIB BERAMAN 🔥
Oxirgi vaqtlarda telegram kanalimda uncha aktiv emasman, lekin eng sodiq va kuchli auditoriyam aynan shu yerda ekanligini bilaman
Hozir bor focus agentlikda va yangi mentorligimizda, lekin shunday bo'lsa ham razborlar qilmoqchiman
Sababi, bu orqali oxirgi vaqtda ko'plarga yordamimiz tegdi
Buni qilishdan …
Assalomu alaykum. Hammelarni hayit ayyomlari bilan tabrikliman
O’ylagan hamma niyyatlarilarilarning hayrlilariga yetkazsin. Doim sog’-omon, salomat iymon bilan yurish nasib qilsin!
Akbarjon Botiraliev pinned «Xatolardan xulosa olish sizni yanada kuchliroq qiladi 2020-yilda birinchi martta agentlik ochganimda bilimsizlik va tajriba yo’qligi tufayli agentlik bankrot bo’lgan edi. O’shanda 10.000$ qarz va bir qop tajriba bilan qolgan edim 2024-yil 1-mart kuni agentlikka…»
Xatolardan xulosa olish sizni yanada kuchliroq qiladi
2020-yilda birinchi martta agentlik ochganimda bilimsizlik va tajriba yo’qligi tufayli agentlik bankrot bo’lgan edi. O’shanda 10.000$ qarz va bir qop tajriba bilan qolgan edim
2024-yil 1-mart kuni agentlikka qayta asos soldik va 2 yil ichida eng top agentliklardan biriga aylandik
Bosib o’tilgan yo’l, qilingan xatolar, olingan xulosalar va agentlik tizimi qanda …
Akbarjon Botiraliev pinned «Siz qurgan tizimning kuchi, uning eng nozik qismichalik kuchda bo’ladi Bu huddi temir zanjirlani bir-biriga bog’lab chiqib, qaysidir ikki zanjir orasini ip bilan bog’lashga o’xshaydi. Temir zanjir donalari qanchalik mustahkam bo’lmasin, to’liq zanjirlar ipning…»
Siz qurgan tizimning kuchi, uning eng nozik qismichalik kuchda bo’ladi
Bu huddi temir zanjirlani bir-biriga bog’lab chiqib, qaysidir ikki zanjir orasini ip bilan bog’lashga o’xshaydi. Temir zanjir donalari qanchalik mustahkam bo’lmasin, to’liq zanjirlar ipning kuchichalik mustahkam bo’ladi
Tizimsiz ishlaydigan biznesning o’zi yo’q, shunchaki ularda tizim qaysidir hodimga bog’langan bo’ladi. Eng yaxshi hodimning ish…
Sinov!!!
Umra safari uchun Jiddaga yo’l oldik. Havo tumanligi tufayli, reysimiz deyarli 12 soatga cho’zildi. Kimdir sabr qildi, va yana kimdir norozilik bildirdi
Makkaga hotelga yetib kelganimizda, dam olmaganimizga deyarli 26 soat bo’lgandi. Borishimiz bilan Umra amalini bajarimiz deyishdi. Kimdir sabr qildi, va yana kimdir norozilik bildiridi
Madinaga kelganimizda, hotel biz o’ylagandek hashamatli bo’lib chiqmad…
Habib va Konor o’rtasidagi jangda, Konor yutgan desam ishonasizmi?
Ganararlarni hisobga oladigan bo’lsek, ushbu jang uchun yutish va yutqazishdan qat’iy nazar Konorga $3.000.000 va Habibga $2.000.000 ganarar taklif qilingan
Lekin sponsorlik, translatsiya va boshqa bonuslar bilan Konor $50.000.000 atrofida daromadga ega bo’ldi. Habib bo’lsa $5.000.000 atrofida foyda topgan
Unda kim yutqazgan?
Albatta tamoshabinlar…
Har bitta kasb egasida omonotdorlik bo’lishi kerak
Barchamiz bilamizki, shifokorlarning qasami bor, bemorga maksimal yordam berish, kerakli barcha tog’ri ishni qilish va bemorni qutqarish
Istalgan mutaxasis ham, ish beruvchi oldida shu omonatdorlikni his qilishi kerak
Mijozga to’gri tanlov qilishida yordam berish, xato qilayotgan bo’lsa tog’irlash va xattoki zararga kirsa ham tog’ri ishni bajarish. Shunda hayotida…
🔥20❤10👍8
Showing the 12 most recent of 17 posts we hold for @akbarjon_botiraliev. 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.
Citation-graph rank
Citation-graph rank — 1,324,899 of 1,549,376entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
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 1 registered channel — 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.
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 14 August 2026 — this
entry's latest reading, not the date you are reading this.
“Akbarjon Botiraliev” (@akbarjon_botiraliev), 1,090 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/akbarjon_botiraliev.
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.