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Channel

Tech Yangiliklari

@uztechnologyhub

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

2,367subscribers

+627 since we began measuring on 9 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1003718115064
TypeChannel
Username@uztechnologyhub
CreatedBetween 1 February 2026 and 29 June 2026— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded9 August 2026
Last confirmed live16 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 16 August 2026
On Telegramt.me/uztechnologyhub

Growth

1,7402,3672,053.59 August 2026 — 1,740 subscribers10 August 2026 — 1,803 subscribers13 August 2026 — 2,161 subscribers16 August 2026 — 2,367 subscribers9 August 202616 August 2026
4 measurements spanning 7 days, net +627. 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 1,646–2,461 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
16 Aug 2026, 18:032,367+206
13 Aug 2026, 09:042,161+358
10 Aug 2026, 06:061,803+63
9 Aug 2026, 13:471,740first reading

Engagement

20 posts held, back to 29 June 2026the 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.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 6 July 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

85 reactions across 8 posts, in 8 distinct kinds. The most used accounts for 65.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
5665.9%
👏1112.9%
🍓55.88%
👍55.88%
🔥33.53%
🗿22.35%
🥴22.35%
🥰11.18%

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 8 of the 20 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 85reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 29 June 2026 to 6 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.

Recent posts

6 Jul 2026, 04:00 UTC≈7,270 views63 reactionsread 9 August 2026
Photo

Buni bilarmidingiz? Ada Lovelace va kompyuterning musiqa yaratishi Buni bilarmidingiz? Ada Lovelace 1843-yilda Babbage'ning Analytical Engine haqida yozgan eslatmalarida mashinalar nafaqat hisoblash, balki musiqiy naqshlar yaratishi mumkinligini tasvirlagan. U notalarni raqamlar orqali ifodalash va mashina yordamida yangi kompozitsiyalar hosil qilish mumkinligini fikr qilgan, bu esa birinchi algoritmik kompozitsiya

39👏11🍓5🔥2🗿2🥴2👍1🥰1

5 Jul 2026, 14:00 UTC≈6,350 views5 reactionsread 9 August 2026
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Smartfonlarda 4-bit kvantizatsiya bilan 7B/13B LLM: nima o'zgardi? 4-bit kvantizatsiya yordamida 7B va 13B kattalikdagi LLM'lar smartfonlarda oflayn ishlashi mumkinligi amalda yaxshilandi. Qisqasi, kvantizatsiya model hajmini 3–4 barobar kamaytirib, xotira va hisoblash talabini pasaytiradi; natijada offline chat, tez javob va ma'lumotlarni qurilmada saqlash imkoniyati paydo bo'ladi. Shu bilan birga chegaralar mavjud

5

5 Jul 2026, 09:00 UTC≈4,010 views4 reactionsread 9 August 2026
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Telefonlarda va kompyuterlarda: Clipboard tarixini yoqish va ishlatish Telefonlarda va kompyuterlarda clipboard tarixini yoqish, tez-tez nusxa olinadigan matn, link va kodlarni qayta chaqirish uchun oddiy lifehack. 1. Android: Gboard yoki boshqa klaviatura sozlamalarida Clipboardni yoqing; ko‘p ishlatiladigan snippetlarni «pin» qiling. 2. Windows: Win+V ni bosing va "Turn on" ni tanlang; muhim elementlarni pinlash

4

5 Jul 2026, 04:00 UTC≈2,620 views5 reactionsread 9 August 2026
Photo

Buni bilarmidingiz? Ray Tomlinson va birinchi elektron pochta Buni bilarmidingiz? 1971-yilda Ray Tomlinson Internetga ulangan kompyuterlar o‘rtasida birinchi elektron xabarni yubordi. U e-pochta manzillarida foydalanuvchi va mashina nomini ajratish uchun @ belgisini tanladi, va bu belgi bugungi kunda ham qolgan. O‘sha yuborilgan xabar oddiy test bo‘lib, ko‘pchilik manbalarda uning matni o‘ziga xos belgilar ketma-ket

👍32

4 Jul 2026, 14:00 UTC≈1,680 views5 reactionsread 9 August 2026
Photo

Optik AI chiplari: energiya tejamkor inferens va'dasi Optik AI chiplari endi transformer inferensini millivat darajasida bajarishni va'da qilmoqda. So'nggi prototiplar foton signallari orqali matritsa ko'paytmasi kabi asosiy hisoblashlarni juda kam energiya bilan amalga oshirishni ko'rsatmoqda, ya'ni elektron tranzistorlarga qaraganda kamroq issiqlik va tezroq parallel hisoblash. Amaliy jihat: bu texnologiya hozir p

4🔥1

4 Jul 2026, 09:00 UTC≈1,230 viewsread 9 August 2026
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Telefonlarda va kompyuterlarda: Clipboard tarixini yoqish va ishlatish Telefonlarda va kompyuterlarda clipboard tarixini yoqish: tez nusxa olish uchun amaliy lifehack. 1. Nima uchun: ko‘p elementni saqlash, tez qayta joylashtirish va maxfiy ma'lumotni tez tozalash imkonini beradi. 2. Windows 10/11: Sozlamalar → System → Clipboard → Clipboard history-ni yoqing; Win+V bilan tarixni chaqiring; agar xohlasangiz Sync ac

4 Jul 2026, 04:00 UTC998 views1 reactionsread 9 August 2026
Photo

Buni bilarmidingiz? IBM 305 RAMAC: dunyodagi birinchi qattiq disk va uning 5 MB xotirasi IBM 305 RAMAC (1956) dunyodagi birinchi tijorat qattiq disk bo‘lib, atigi 5 megabayt ma'lumotni saqlash uchun 50 ta 24 dyuymli plastinkadan tashkil topgan. Hayratlanarlisi shuki, shu xotira hajmi bugungi telefonlarda bir necha soniyada to‘lib qoladigan faylga teng. U butun xona egallagan va bir tonnadan ortiq vaznga ega bo‘lgan,

1

3 Jul 2026, 14:00 UTC796 views1 reactionsread 9 August 2026
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SeamlessM4T bilan real‑vaqtda ovozli va matnli tarjima imkoniyati SeamlessM4T modeli audio kirishni to‘g‘ridan-to‘g‘ri boshqa tilda so‘zlashuvga aylantira oladi. Qiziqarli jihati shuki, u ovozdan-ovozga va matnli tarjimani bitta ko‘pmodal arxitekturada bajaradi: nutqni aniqlaydi, tarjima qiladi va yangi ovozda qayta chiqaradi. Amaliy foyda: chet tilli videolar, jonli translyatsiyalar va ovozli postlarni tez lokaliza

👍1

3 Jul 2026, 09:00 UTC679 views1 reactionsread 9 August 2026
Photo

Telefonlarda va kompyuterlarda: Grayscale bilan diqqatni kamaytirish va batareya tejash Telefonlarda va kompyuterlarda ekranni kulrang (grayscale) rejimiga o‘tkazish diqqatni kamaytiradi va OLED ekranlarda batareyani tejaydi. 1. Android: Sozlamalar → Displey yoki Accessibility → Color correction/Monochrome yoki Grayscale ni yoqing. 2. iPhone: Sozlamalar → Accessibility → Display & Text Size → Color Filters → Graysc

1

3 Jul 2026, 04:00 UTC555 viewsread 9 August 2026
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Buni bilarmidingiz? Tim Berners-Lee va birinchi veb-sahifa Buni bilarmidingiz? 1991-yil 6-avgustda Tim Berners-Lee CERNda birinchi veb-sahifani e'lon qilgan. U NeXT kompyuterda ishlagan oddiy matnli sahifa bo'lib, World Wide Web loyihasi, http protokoli va manbalar haqida qisqacha ma'lumot bergan. Bu oddiy vosita ilmiy ma'lumot almashishni osonlashtirish maqsadida yaratilgani bilan tez orada butun dunyoni bog'lab qo

2 Jul 2026, 14:00 UTC497 viewsread 9 August 2026
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Neural dubbing: video uchun tabiiy chet til dublaji Neural dubbing hozirgi kunda original tembr va intonatsiyani saqlagan holda videoni chet tilga tabiiy tarzda o'zgartira oladi. Bu texnika ovoz klonlash, speech-to-speech va neural lip sync kombinatsiyasiga tayangan holda ishlaydi, natija ko'pincha oddiy subtitrdan ancha tabiiy va tezchiqadi. Afzallik: kontentni bir necha daqiqada lokalizatsiya qilib yangi auditoriy

2 Jul 2026, 09:00 UTC458 viewsread 9 August 2026
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Telefonlarda va kompyuterlarda: Clipboard tarixini boshqarish Telefonlarda va kompyuterlarda tez-tez ishlatiladigan matnlarni boshqarish uchun clipboard (keshlash) tarixini yoqing va sinxronlang. 1. Windows: Sozlamalar → System → Clipboard → Clipboard history ni yoqing, keyin Win+V bilan ro'yxatni chaqiring; Sync across devices opsiyasini yoqing. 2. macOS: Clipy yoki Paste kabi clipboard manager o'rnating yoki Alfr

Showing the 12 most recent of 20 posts we hold for @uztechnologyhub. 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.

Citation-graph rank

Citation-graph rank — 16,288 of 1,481,243entries 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.

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.

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 16 August 2026 — this entry's latest reading, not the date you are reading this.

“Tech Yangiliklari” (@uztechnologyhub), 2,367 subscribers as measured 16 August 2026. Telegram Register, tgregister.com/channel/uztechnologyhub.

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.