Other / unclassifiable — 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 18 September 2026 and assigned it the closest of 31 fixed categories, at 38% 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
8 measurements spanning 31 days. 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 1,189–1,204 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
18 Sept 2026, 23:21
1,191
-4
14 Sept 2026, 10:38
1,195
-1
10 Sept 2026, 13:58
1,196
+1
1 Sept 2026, 00:45
1,195
-7
29 Aug 2026, 09:56
1,202
+5
22 Aug 2026, 22:22
1,197
+5
19 Aug 2026, 22:38
1,192
+1
19 Aug 2026, 04:15
1,191
first reading
Engagement
10 posts held, back to 6 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 1 page 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 10 posts for this entry, the most recent from 18 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
1m 18s
Average length
1m 18s
Measured directly from 1 video 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
583 reactions across 10 posts, in 26 distinct kinds. The most used accounts for 27.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤🔥
162
27.8%
❤
135
23.2%
😍
62
10.6%
custom 5348564537970815495
46
7.89%
🔥
40
6.86%
💯
39
6.69%
🎉
19
3.26%
💘
13
2.23%
🥰
11
1.89%
⚡
10
1.72%
🍓
8
1.37%
🌚
7
1.20%
😢
6
1.03%
🐳
5
0.858%
💋
5
0.858%
👍
4
0.686%
🕊
2
0.343%
👏
1
0.172%
👻
1
0.172%
💅
1
0.172%
6 further kinds
6
1.03%
Custom emoji. One row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The count beside it is Telegram’s.
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 10 of the 10 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 583 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 10 most recent posts we hold, published 6 August 2026 to 18 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.
Telegram Stars
Stars received
2
across the posts below
Posts paid on
1
of 10 we hold a reading for · 10%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @englishwithMaftuna04. 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 10 most recent posts we hold for this entry, published 6 August 2026 to 18 August 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.
⚡️Winners Academy’da faoliyat yuritayotgan jamoamiz a’zolarining ko‘pchiligi bu yerga avval o‘quvchi sifatida kelgan.
Kimdir IELTS olish uchun, kimdir ingliz tilini o‘rganish uchun kelgan. Ammo ularning umumiy jihati bitta — faoliyatini Ilhombek Safarmurodovga shogirdlikdan boshlagan.
Bugun esa ular:
👨🏫 IELTS Instructor
👩🏫 Teacher
💼 Moliya Manageri
🏢 Filial menejeri
📱 Mobilograf
🎬 Media bo‘limi boshqaruvchisi
va …
🔥 SUNDAY EVENT — WORD RUSH! 🔥
So‘zlarni tez tushuntirish, tez topish va jamoa bilan birgalikda g‘alaba qozonishga tayyormisiz? 😎
👥 Ishtirokchilar 5 kishilik jamoalarga bo‘linadi. Har bir raundda jamoa a’zolaridan biri doskaga chiqadi. Uning jamoadoshlariga esa bir nechta so‘zlar beriladi.
🎯 Vazifa — kartadagi so‘zni uning nomini aytmasdan, turli usullar orqali tushuntirish. Jamoadoshlar esa imkon qadar ko‘p so‘zni…
📢 Winners Academy jamoasiga qo‘shiling!
Winners Academy o‘quv markazining Limonariya filiali quyidagi lavozimlarga yangi xodimlarni qabul qiladi:
🔹Administrator
🔹 Support Teacher
📍Manzil: Limonariya hududi, Termiz davlat pedagogika universiteti yonida.
Talablarimiz:
• Yosh: 18–21 yosh (o‘g‘il va qizlar);
• Talaba bo‘lishi shart;
• Ingliz tili darajasi: IELTS 5.5+ yoki CEFR B2+;
• Kompyuter savodxonligi;
• Mas’uli…
🎉 ANOTHER PROUD WINNER from Winners Academy — NILUFAR 🎉
Nilufar, odd days 4-6 IELTS guruhimdagi eng harakatchan o’quvchilarimdan biri, ilk urinishdayoq OVERALL 6.5 ❤️🔥❤️🔥❤️🔥❤️🔥 ni qo’lga kiritdilar🔥🔥🔥🔥
✨ LISTENING — 6.5 ❤️🔥
✨ READING — 6.5 💥
✨ WRITING — 6.5 🔥
✨ SPEAKING — 6.0 ❤️🔥
🏆 OVERALL — 6.5😍
Her result is a reflection of her hard work, consistency, patience, and dedication throughout the preparation j…
❤️🔥 QUVONCHBEK — OVERALL BAND 7.0! ❤️🔥
His FIRST IELTS ATTEMPT and what a result! 🔥🔥🔥🔥
💣 Listening — 7.0
💣 Reading — 8.5
💣 Writing — 6.0
💣 Speaking — 5.5
🏆 OVERALL — 7.0🔥🔥🔥🔥
A special shoutout to READING 8.5 and LISTENING 7.0😍❤️🔥
Quvonch aka Qashqadoryolik talabalarimizdan birlari, endi IELTS darslarini boshlaganimdanoq aytardim, potensializ bor, C1 ga harakat qilamiz deb😍😍😍😍
READING darslarimiz katta yordam…
Har qanday vaziyatda ham intizom bo’lishi kerak😎
1044 ❤️🔥
❤🔥39❤16🔥10💯6👍2💘2
Showing the 10 most recent of 10 posts we hold for @englishwithMaftuna04. 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.
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.
Работа Сурхандарё @ishchi_surxondaryo_termiz · 43,391 Telegram ranks this channel #18 of 44 here — alongside 43 others — read 19 August 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“With Maftuna🎯📍🖇” (@englishwithMaftuna04), 1,191 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/englishwithMaftuna04.
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.