Channel

mivo3d

@Kamol_DDD_yordamchi

On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

722subscribers

-29 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID	-1001970816227
Type	Channel
Username	@Kamol_DDD_yordamchi
Created	Between 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded	7 August 2026
Last confirmed live	19 September 2026
Measurements held	8
Confirmed unchanged	1 time, most recently 19 September 2026
On Telegram	t.me/Kamol_DDD_yordamchi

Topic

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 20 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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 43 days, net -29. 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 718–755 and does not start at zero.

Measurement log — every subscribers count we have recorded
Measured (UTC)	Subscribers	Change
19 Sept 2026, 11:21	722	-4
12 Sept 2026, 00:39	726	-6
4 Sept 2026, 14:02	732	-5
28 Aug 2026, 22:46	737	-5
21 Aug 2026, 21:05	742	-6
14 Aug 2026, 15:16	748	-3
7 Aug 2026, 09:21	751	no change
7 Aug 2026, 03:16	751	first reading

Engagement

14 posts held, back to 15 January 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 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 14 posts for this entry, the most recent from 13 May 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

70 reactions across 12 posts, in 5 distinct kinds. The most used accounts for 51.4% of them.

Every reaction kind recorded on the sample, most used first
Reaction	Count	Share
👍	36	51.4%
🔥	31	44.3%
❤	1	1.43%
👎	1	1.43%
👏	1	1.43%

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 12 of the 14 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 70 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 14 most recent posts we hold, published 15 January 2025 to 13 May 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.

Recent posts

13 May 2026, 07:05 UTC332 viewsread 7 August 2026

Forwarded from @kamol_arxPhoto

Assalomu alaykum. Offline darslar bo`yicha qo'shimcha ma'lumot: ✅ Dars o'quv markazidan farq qiladi ✅ Guruh to'lishi kutilmaydi ✅ Darslarni ustoz-shogirt usulida o'tamiz ✅ Darslar Sharipov Kamoliddin bilan bo'ladi ✅ Aniq dastur bilan ✅ Yakka tartibda ishlaymiz o'quvchilar bilan. ✅ Birinchi oy 3d max baza darslar ✅ Ikkinchi oy modellar yasab saytlarga yuklash ✅ Uchunchi oy tajriba, bilimlarni mustahkamlash ✅ Kurslar…

1 May 2026, 06:54 UTC410 viewsread 7 August 2026

Forwarded from @kamol_arx

Assalomu alaykum. May oyi uchun offline kurslarni boshladik! Yangi o'quv dasturi orqali biz bilan samarali va sifatli ta'lim oling! Xozirgi tezkor o'zgarishlar davrida tez va sifatli o'quv dasturi juda muhim omilga aylandi. Xozirda bizni o'quvchilarimiz kurs davomida model savdosini ham boshlab yuborishgan. ✅ Noldan boshlovchilar ✅ Davom ettiruvchilar ✅ Mahoratini oshiruvchilar uchun 🔅 3d modeling - kurs vaqti 3 o…

8 Feb 2026, 15:48 UTC≈1,580 views1 reactionsread 7 August 2026

Forwarded from @kamol_arxPhoto

Assalomu alaykum. ⭐️ Romazon oyi uchun kurslarimizga chegirma e'lon qilamiz. 2026 yil mart oyini so'ngi kunigacha 30% chegirma bilan kurslarimizni harid qilishingiz mumkin. 🔥Ramazon oyi vaqti bonus qilib qo`shib beriladi. ✅Alohida 10 kishi uchun mahsus aksiya 5 ta mini kursimizni 110 ming so'mga olishingiz mumkin. Mini kurslar ro'yhati shu yerda ✅Alohida 5 kishi uchun mahsus aksiya Blender va 3dsMax kurslarimiz…

🔥1

28 Nov 2025, 10:21 UTC≈1,800 views5 reactionsread 7 August 2026

Forwarded from @kamol_arxPhoto

Assalomu alaykum 3dchilar. Kurslarimiz uchun har kichik aksiya e'lon qilamiz. Istalgan kursimizni bugun 5 kishiga bo'lib to'lash imkoniyati bilan taqdim etamiz. Shaxsiyga yozing va qaysi kursni o`qishni hohlaysiz!? sizga shu kursni bo'lib to'lash sharti bilan beramiz. Qo'shimchasiga istalgan boshqa kursimizga 1 oylik bepul muddat qo'shib beriladi. Yoki yana bir bonus. Ushbu 4 ta mini kurslarimizdan biri ham qo`sh…

🔥4👍1

6 Nov 2025, 19:05 UTC≈1,510 views2 reactionsread 7 August 2026

Forwarded from @kamol_arxVideo

Assalomu alaykum. 🔥 2025 yil Noyabr va Dekabr oylari uchun offline darslarga @kamol_sh yozing. 🟢 Oqish davri jami 3 oy. 🟢 1 oyda 12 ta mashg`ulot. 🟢 1oylik to'lov 1.4 mln so'm. 🎯 Online darslar uchun 2025 yil noyabr va dekabr oyiga 150 ming to'lab o'qing. 2 oy uchun 150 ming so'm. 220 dan oshiq video darslarni ko'rib o'rganing. ⚠️ 2026 yildan narhlar o'zgarishi mumkin. instagram| telegram|facebook|youtube

🔥2

29 Jul 2025, 13:56 UTC≈3,080 views1 reactionsread 7 August 2026

Video

🔥Interyer vizualizatsiyasi bo'icha online kursimizga marhamat! 3DsMax va Corona render dasturlarida noldan boshlab interyer dizynlarini render qilishni o'rganamiz. Darslarimiz 4 Blokdan iborat. Har bir Blokda 1 ta to'liq interyer darsi bor. Undan tashqari qo'shimcha darslar va ishlatilgan modellar, render sahnalari ham o'quvchilarga berladi. ⭐️Savollarga alohida guruhda javoblar bo'ladi. O'quvchilarni hohishiga qa…

👍1

18 Jul 2025, 07:04 UTC≈2,580 views1 reactionsread 7 August 2026

Photo

🔥 Mato materiallarini tekstura,3dsmax fayllari HDRI kartalar va boshqa qo'llanilgan ma'lumotlar. Ko'chirib oling va foydalaning. 🎯Arhiv ma'lumotlari shu yerda: https://t.me/darslar_kamol_arx/564 Foydalanish uchun video qo'llanma shu yerda ✅ Do'stlarga yuborish: https://t.me/Sharipov_K_3DsMax_kursi ✅ Ochiq guruh: https://t.me/kamol_arx_chat 👆👆👆Yuqorida havoladan bepul video va fayllarni ko'rishingiz va yuklab olis…

👍1

15 Jul 2025, 16:19 UTC≈2,860 views9 reactionsread 7 August 2026

✅ 3DsMax online kursimiz narhi. ▶️Modelng: 4 oy davom etadi. Jami: 2 400 000 so'm (4 oy uchun) ▶️ Modeling + Interyer 6 oy davom etadi Jami: 3 500 000 so'm (6 oy uchun) —————————— To'lov va kurs haqida ma'lumot olish uchun @kamol_sh ga Ism va telefon raqamingizni yuboring! Kun davomida sizga aloqaga chiqamiz! 🔥Kursimiz 3d sohasida etuk mutahassis bo'lishni xoxlaganlarga tavsiya qilinadi. ⭐️Blender: 👉 https://t…

🔥7👍2

23 Jun 2025, 14:12 UTC≈3,100 views4 reactionsread 7 August 2026

18 oylik KATTA AKSIYA Shu havolada darslarni tuzilishi va mundarijasi bilan tanishib chiqing: https://t.me/Kamol_DDD_yordamchi/39 To'lov shu kartaga 9860020116508928 Sharipov Kamoliddin xxx ming so'm Tolo'vdan so'ng chek (to'lov qog'ozini @kamol_sh ga yuboring). Va shu chekni saqlab qo'ying. 18 oy davomida telegram akkauntingizda muammo bo'lsa chekini ko'rsatib qayta qo'shilasiz. Sababsiz akkaunt o'zgarsa habar b…

🔥4

13 Mar 2025, 10:24 UTC≈4,110 views7 reactionsread 7 August 2026

Video

💻 Online video darslar — bu zamonaviy taʼlimning eng qulay usuli! Endi boshlang va yangi kasb egasi boʻling! 🚀 📅 Kurs boshlanishi: To'lov qilasiz va boshlaysiz 📩 Roʻyxatdan oʻtish: Blender va 3DsMax 💬 Savollar uchun: @kamol_sh

👍6❤1

8 Feb 2025, 07:14 UTC≈3,890 views8 reactionsread 7 August 2026

Video

3DsMax online kursimizda navbatdagi Mahorat darsi - Master Klass. Krovat modeli va renderi Akromov Abdulloh bilan. Dars vaqti 4 soat, 8 ta qism. ❇️18 ta Mundarija, +185 video Darlar mundarijasi ✅ 3DsMax modeling va render kursimiz

👍5🔥3

21 Jan 2025, 07:03 UTC≈3,240 views9 reactionsread 7 August 2026

Video

3DsMax online kursimizda o'rganing Batafsil: https://t.me/Kamol_DDD_yordamchi/96

👍9

Showing the 12 most recent of 14 posts we hold for @Kamol_DDD_yordamchi. 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

Republishes

Channels on the register whose posts this channel has forwarded.

Kamol_arx
@kamol_arx · 2,1675 posts

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.

3dsMax va Blender darslari - mivo3d
@darslar_kamol_arx · 1,3714 posts

Names

Channels on the register whose handles appear in this channel's posts.

Kamol_arx
@kamol_arx · 2,16710 posts 3dsMax va Blender darslari - mivo3d
@darslar_kamol_arx · 1,3711 post

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 19 September 2026 — this entry's latest reading, not the date you are reading this.

“mivo3d” (@Kamol_DDD_yordamchi), 722 subscribers as measured 19 September 2026. Telegram Register, tgregister.com/channel/Kamol_DDD_yordamchi.

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.