Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 12 September 2026 and assigned it the closest of 31 fixed categories, at 75% 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
15 measurements spanning 41 days, net -114. 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 7,069–7,245 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
17 Sept 2026, 16:57
7,111
+14
13 Sept 2026, 20:19
7,097
-23
9 Sept 2026, 23:56
7,120
+31
4 Sept 2026, 18:20
7,089
-21
1 Sept 2026, 02:48
7,110
-14
29 Aug 2026, 12:29
7,124
+12
26 Aug 2026, 19:28
7,112
-32
24 Aug 2026, 03:07
7,144
-24
20 Aug 2026, 05:24
7,168
-14
17 Aug 2026, 13:03
7,182
+11
14 Aug 2026, 07:46
7,171
-25
10 Aug 2026, 22:33
7,196
-26
7 Aug 2026, 15:10
7,222
-3
7 Aug 2026, 11:30
7,225
no change
7 Aug 2026, 11:21
7,225
first reading
Engagement
60 posts held, back to 5 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 13 pages of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 60 posts for this entry, the most recent from 19 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
12m 33s
Average length
54s
Measured directly from 14 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
87 reactions across 27 posts, in 9 distinct kinds. The most used accounts for 50.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
44
50.6%
🔥
32
36.8%
👍
4
4.60%
💯
2
2.30%
⚡
1
1.15%
❤🔥
1
1.15%
🏆
1
1.15%
👏
1
1.15%
🤯
1
1.15%
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 27 of the 60 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 87 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 60 most recent posts we hold, published 5 August 2026 to 19 August 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.
ROP aslida nima ish qilishi kerak?
ROP lavozimida ishlaydiganlar ko‘pincha bir vaqtning o‘zida juda ko‘p vazifalarni bajaradi: sotuvchilarni nazorat qiladi, hisobotlarni ko‘radi, reja tuzadi, xodimlarni o‘qitadi, mijozlar bilan bog‘liq muammolarni hal qiladi…
Lekin savol boshqa:
ROP aslida qaysi ishlar uchun javobgar bo‘lishi kerak?
🎬 YouTube sahifamizda berilayotgan bepul darsliklarimizning navbatdagi sonida eksp…
3 KUN. YANGI BILIMLAR. KUCHLI NETWORKING. UNUTILMAS MUHIT.
Bu oddiy sayohat emas. Bu — biznes egalari va rahbarlar uchun 3 kunlik “Tog‘ safari”. ⛰️
18–20-sentabr kunlari sizni:
🔥 kuchli spikerlar bilan amaliy darslar
🤝 turli soha vakillari bilan networking
💬 biznes egalari bilan samimiy suhbatlar
🏡 premium dam olish
🎯 team-building va yangi tanishuvlar
🏆 hamda “Alumni Klub”ning rasmiy ochilish marosimi kutmoqda.
D…
🧐 Sizning keyingi hamkoringiz qayerda bo‘lishi mumkinligini bilasizmi?
Balki keyingi biznes g‘oyangiz ham shu yerda paydo bo‘lar.
Balki sizga kerakli tajribani aynan boshqa bir biznes egasi berar.
Balki 3 kun siz kutmagan yangi imkoniyatlarga sabab bo‘lar.
18–20-sentabr.
🔥 MFaktor Biznes Maktabi tomonidan biznes egalari va rahbarlari uchun maxsus yangilik.
⏳ Bugun 21:00 da batafsil e’lon qilamiz!
Ba’zi uchrashuvlar shunchaki tanishuv bilan tugaydi.
Ba’zilari esa yangi hamkorlik, yangi g‘oya yoki hatto yangi biznesga sabab bo‘ladi.
Biz MFaktor hamjamiyati uchun aynan shunday muhit tayyorlayapmiz. ⚡️
3 kun davomida biznes egalari va rahbarlarni nima kutayotganini tez orada e’lon qilamiz 🤫
🎯 Bu shunchaki kurs emas — real natija sari qadam
“Sotuv bo‘limi rahbari” kursining 21-guruhini muvaffaqiyatli tamomlagan o‘quvchilarimiz bilan tanishing.
📌 Ular turli yosh va tajribaga ega, ammo bitta maqsad yo‘lida birlashgan mutaxassislar: sotuvni tizimlashtirish va boshqaruvda kuchliroq bo‘lish.
Karuselda ularning o‘zi, tajribasi va kursimiz haqidagi real fikrlari bilan tanishishingiz mumkin.
🌟 Biz uchun eng …
Savdo bo‘yicha treningning ilk kuni! 🚀
Bugun MFaktor Biznes Maktabi ijrochi direktori va asosiy spikerimiz Javohirbek Ruziboyev Andijondagi Eman Materials kompaniyasida 100+ xodim uchun B2B savdo bo‘yicha trening o‘tkazdi.
Ishtirokchilar savdoda duch kelayotgan real muammolari va savollariga amaliy javoblar olishdi. Kun davomida kompaniyaning ish jarayonlari bilan yaqindan tanishib, jamoa bilan birgalikda tushlik h…
Showing the 12 most recent of 60 posts we hold for @sotuvmaktabi. 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.
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 2 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.
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.
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.
Ibrahim Gulyamov @ibrahimGulyamov · 25,582 Telegram ranks this channel #4 of 69 here — alongside 68 others — read 14 September 2026
Alisher Isaev blogi @AlisherIsaev_blogi · 42,346 Telegram ranks this channel #49 of 81 here — alongside 80 others — read 29 August 2026
ISH BOR | ishlovchilar bormi @ishlovchilar_bormi · 91,518 Telegram ranks this channel #50 of 68 here — alongside 67 others — read 17 August 2026
This channel appears in 3 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.
“MFaktor Biznes Maktabi” (@sotuvmaktabi), 7,111 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/sotuvmaktabi.
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.