Technology — 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 15 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
14 measurements spanning 42 days, net -39. 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 2,649–2,700 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
18 Sept 2026, 03:39
2,655
-6
13 Sept 2026, 18:56
2,661
-1
10 Sept 2026, 00:40
2,662
-8
4 Sept 2026, 15:57
2,670
-2
1 Sept 2026, 00:48
2,672
-13
28 Aug 2026, 22:09
2,685
+4
26 Aug 2026, 03:52
2,681
-3
23 Aug 2026, 08:02
2,684
-1
20 Aug 2026, 04:12
2,685
-3
16 Aug 2026, 17:44
2,688
-4
12 Aug 2026, 21:55
2,692
-1
9 Aug 2026, 19:02
2,693
-1
7 Aug 2026, 01:07
2,694
no change
6 Aug 2026, 20:18
2,694
first reading
Engagement
20 posts held, back to 25 March 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 2 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 20 posts for this entry, the most recent from 13 July 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
1,321 reactions across 20 posts, in 11 distinct kinds. The most used accounts for 41.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
542
41.0%
😁
248
18.8%
👍
160
12.1%
👏
143
10.8%
⚡
102
7.72%
❤
63
4.77%
😱
41
3.10%
🏆
10
0.757%
🕊
6
0.454%
😎
5
0.379%
🤯
1
0.076%
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 20 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 1,321 reactions 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 25 March 2026 to 13 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
15
across the posts below
Posts paid on
3
of 20 we hold a reading for · 15%
Most on one post
12
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @ulugbeksamigjonov. 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 20 most recent posts we hold for this entry, published 25 March 2026 to 13 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.
AI - asosan prompt ustida ishlash.
Qanchalik tez prompt bersak, shunchalik tez natija olamiz.
Prompt yozish esa juda sekin.
Gapirish yozishdan 4 baravar tezroq.
Promptni yozmang, gapiring. Yozish endi eskirdi. Gapirish esa trend'da.
Yuzlab dasturlar bor. WisprFlow'dan foydalanaman. Tekini ham yetadi.
10-xulosa: IT industriyasi "xaos" (tartibsizlik) ichida
"Bugungi kunda soha holatini bir jumla bilan qanday ta'riflagan bo'lardingiz?" degan savol berildi. Eng ko'p tilga olingan umumiy javob "xaos" boʻldi. Har 10 kishidan 3 nafari o'z javoblarida o'zgarish, xaotik, noaniq, beqaror va doimiy harakatda kabi so'zlardan foydalangan.
9-xulosa: Menejerlar hali ham baxt darajasini belgilovchi faktor
Menejerning samaradorligi burnout (kuchli toliqish) darajasiga ta'sir qiluvchi eng kuchli omil. Kuchli va o'z ishining ustasi bo'lgan rahbar qo'l ostida ishlash xodimlarning ruhiy holatiga keskin ijobiy ta'sir ko'rsatmoqda.
Samarali rahbar bilan ishlaydigan xodimlarning oʻz ishidan zavqlanish darajasi taxminan 65% ga yuqori, charchash (burnout) koʻrsa…
8-xulosa: Startap asoschilari eng baxtlilar, kichik kompaniyalar esa eng yaxshi ish joyi
Startap asoschilari (Founders) eng baxtli qatlam, kichik kompaniyalar esa yiriklariga qaraganda qulay ish joyi bo'lib qolmoqda.
Asoschilar va top-menejerlar deyarli barcha ko'rsatkichlar boʻyicha yuqori o'rinda: ularda optimizm darajasi va ishdan zavqlanish eng yuqori, burnout va ishdan bo'shatilish xavotiri esa eng past. Asosi…
7-xulosa: Dizayner va tadqiqotchilar eng katta xavotirda
Dizaynerlar va tadqiqotchilar (Researchers) AI keltirib chiqargan xavotirlarning eng markazida turishibdi, kompaniya asoschilari (Founders) va top-menejerlar (Executives) oʻzlarini eng qulay va xotirjam his qilayotganlar.
6-xulosa: Deyarli barchada ikki xil tuyg'u (Ambivalent)
Xodimlar orasida eng ko'p kuzatilgan holat, bu bir vaqtning oʻzida ham ijobiy, ham salbiy hislarni tuyish, ya'ni kuchli ikkilanishdir.
5-xulosa: Asosiy qo'rquv - ish hajmining haddan tashqari ortib ketishi (Overworked)
Eng ko'p tashvishga solayotgan narsa - AI sababli ish unumdorligi talabi (bar) o'sishi, lekin buning evaziga oylik maosh oʻzgarmasdan, shunchaki yanada ko'proq mehnat talab qilinishi. Xodimlar ishning yanada tezroq, qiyinroq va arzonroq bo'lib ketishidan xavotirda.
Xodimlar AIdan bo'shagan vaqt evaziga dam olishmayapti, aksincha, ul…
4-xulosa: Samaradorlik oshgan, lekin sifat emas
AI xodimlarining ish tezligi va samaradorligini keskin oshirgan boʻlsa-da, yakuniy mahsulot sifatini yaxshiladi degani emas.
Samaradorlik ortishi ortidan insoniy tafakkur va intellektual qobiliyatlarning zaiflashishi kuzatilmoqda. Xodimlar endi mustaqil fikrlash hamda muammolarga chuqur yechim izlash o'rniga, shunchaki AIdan kelgan tayyor javoblarga tayanib qolmoqda.
3-xulosa: Mutaxassislari o‘z kasblarini tavsiya etishmayapti
Xodimlarining yarmidan ko'pi sohaga yangi kirib kelayotganlarga o'zlari tanlagan yo'ldan ketmaslikni maslahat bermoqda.
Tajribaga ega, aloqalarni yo'lga qo'yib olganlar sohada qolib, eplab ketishga ishonmoqda. Lekin orqadan kelayotganlarga esa qiyin bo'lishini tahmin qilishmoqda.
- - - - - - - -
Shaxsan o'zim hali ham sohani tavsiya qilaman. Sohaga kiri…
2-xulosa: Burnout (qattiq toliqish) ko'paygan, sohadagi karyera bo'yicha optimism esa tushgan
Hozirda har ikkinchi xodim jiddiy charchashni his qilayotganini aytgan. Har to'rtinchisi esa "juda qattiq" yoki "butkul" charchagan holatda.
Kelajakka ishonch bilan qarayotganlar soni yarimdan ham kamaydi.
1-xulosa: Soha xodimlari ikkiga ajralmoqda
1) Amplified - bular AI orqali kuch olganlar, ya'ni AI yordamida ko'proq va yaxshiroq qila olishga ishonishadi. Ular kelajakga optimistik qarashmoqda va burnout bo'lish holatlari kamroq.
2) Diminished - bular AI tufayli qadrimni yo'qotdim deb o'ylayotganlar. Kayfiyat tushgan, burnout holatlari esa oshgan. Kelajakka esa pessimistik qarashmoqda.
Lenny 2026-yilda tech sohasidagi xodimlarning kayfiyatini o'rganibdi.
10 ta xulosa qilingan.
Birma-bir ko'rib chiqamiz 👇
❤10👍5⚡2
Showing the 12 most recent of 20 posts we hold for @ulugbeksamigjonov. 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.
Mentions
Named by 3 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 18 September 2026 — this
entry's latest reading, not the date you are reading this.
“Ulugbek Samigjonov | Blog” (@ulugbeksamigjonov), 2,655 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/ulugbeksamigjonov.
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.