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 21 September 2026 and assigned it the closest of 31 fixed categories, at 81% 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
7 measurements spanning 35 days, net +16. 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 556–576 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
11 Sept 2026, 23:20
574
+6
3 Sept 2026, 09:54
568
+4
27 Aug 2026, 17:12
564
+2
20 Aug 2026, 20:24
562
+2
14 Aug 2026, 18:48
560
+2
8 Aug 2026, 03:34
558
no change
7 Aug 2026, 15:43
558
first reading
Engagement
7 posts held, back to 10 May 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 7 posts for this entry, the most recent from 6 August 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
8s
Average length
8s
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
153 reactions across 7 posts, in 13 distinct kinds. The most used accounts for 28.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
43
28.1%
❤
36
23.5%
😁
24
15.7%
👍
15
9.80%
👏
6
3.92%
👨💻
6
3.92%
❤🔥
5
3.27%
🌚
5
3.27%
🤓
4
2.61%
✍
3
1.96%
🕊
3
1.96%
🤝
2
1.31%
😱
1
0.654%
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 7 of the 7 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 153 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 7 most recent posts we hold, published 10 May 2026 to 6 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
1
across the posts below
Posts paid on
1
of 7 we hold a reading for · 14%
Most on one post
1
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @imho_ux. 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 7 most recent posts we hold for this entry, published 10 May 2026 to 6 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.
25 сентября выступаем с командой TBC Bank на Research Meetup Uzbekistan 2026
Мы готовим рассказ по теме «не доверяй ИИ то, что не умеешь делать сам»
Думаю, что после выступления поделюсь частью идею в канале, но лучше все-таки прийти на митап очно послушать наш и другие рассказы очно в Ташкенте✈️
Для участия необходимо зарегистрироваться и заполнить анкету слушателя: https://miraculum-event.timepad.ru/event/412835…
🐆Ищу исследователя в свою команду Research Lab в TBC Bank
Я никогда не любил ограничиваться одним продуктом или одной методологией. И TBC сейчас дает мне такую возможность😎
Research Lab работает со всеми продуктовыми командами компании, помогает запускать новые бизнес-направления и оптимизировать UX текущих сценариев. Также в этом году большой фокус на b2b-направление. Так что задач у нас много и наступил логичный м…
Уже ставшие легендарными в Интернете светофоры Ташкента🚦
Чем ближе момент переключения светофора на красный сигнал, тем быстрее бежит зеленый человечек.
Как думаете, это решение для удобства пешеходов или нестандартный ход для виральности в мировых СМИ?😀
Откройся. ОТКРОЙСЯ Я СКАЗАЛ!
С коллегами недавно обсуждали, как замерить легкость и скорость обучения новым ux-элементам. Можно ли это сделать в рамках одного юзабилити-теста.
И вот наблюдал за собой, сколько мне потребуется времени, чтобы выучить как открывать дверцу микроволновки.
Итог:
❌ 6 неверных нажатий из 6 попыток в течение 2х недель☠️
⚠️ Рекомендуем доработку дизайна
В чем причины?
— нет физической кнопк…
Сильный исследователь — не тот, кто всегда приносит только “революционные” инсайты.
Так в марте у меня родилась идея матрицы инсайтов, которую презентовал на митапе (видео).
Если кратко, то можно еженедельно подкидывать команде новые UX-ошибки, помогать корректировать тексты и структуру разделов. И даже оперативно видеть итоги своей работы в продакшене.
НО! Если сейчас цели компании смена бизнес-направления, обнов…
Сегодняшний день провели на митапе Чата Рисечеров!
Очно познакомились с коллегами, делимся их каналами:
@radarresearch
@o_kormushin_researcher
@careerframe
@gottagetmesome
@yulia_kormushina_research_maker
Спасибо за интересные доклады и компанию!
Кто был — делитесь интересными слайдами из докладов в комментариях
Люксовая функциональность
«Брюки превращаются…» а вот у Louis Vuitton чемодан превращается в раскладушку или туалетный столик. Такие интересные объекты увидел на выставке в Шанхае.
В 20-е, 30-е годы прошлого века бренд решил сделать путешествия на кораблях более комфортным. Хотя представленный образцы 80-90 годов, вероятно на заказ для коллекционеров
❤7👍3🔥3😁1
Signed Юрий
Showing the 7 most recent of 7 posts we hold for @imho_ux. 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.
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.
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 11 September 2026 — this
entry's latest reading, not the date you are reading this.
“По мнению исследователей...” (@imho_ux), 574 subscribers as measured 11 September 2026. Telegram Register, tgregister.com/channel/imho_ux.
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.
