Telegram RegisterThe public register of Telegram

Channel

Belov Archive

@nikitabelovArchive

On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry

367subscribers

-1 since we began measuring on 8 August 2026

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

Register entry

Telegram ID-1002154341990
TypeChannel
Username@nikitabelovArchive
CreatedBetween 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live8 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 8 August 2026
On Telegramt.me/nikitabelovArchive

Growth

367368367.58 Aug 2026, 05:01 — 368 subscribers8 Aug 2026, 06:30 — 368 subscribers8 Aug 2026, 15:48 — 367 subscribers8 Aug 2026, 05:018 Aug 2026, 15:48
3 measurements taken within a single day, net -1. 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 367–368 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Aug 2026, 15:48367-1
8 Aug 2026, 06:30368no change
8 Aug 2026, 05:01368first reading

Engagement

18 posts held, back to 17 December 2025the 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 18 posts for this entry, the most recent from 4 May 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
26s
Average length
13s

Measured directly from 2 videos 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

718 reactions across 18 posts, in 10 distinct kinds. The most used accounts for 29.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
21029.2%
🔥15321.3%
👍12417.3%
❤‍🔥11015.3%
💔9313.0%
🎉202.79%
👏30.418%
🗿20.279%
🥰20.279%
😍10.139%

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 18 of the 18 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 718reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 18 most recent posts we hold, published 17 December 2025 to 4 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.

Telegram Stars

Stars received
20
across the posts below
Posts paid on
9
of 18 we hold a reading for · 50%
Most on one post
7
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @nikitabelovArchive. 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 18 most recent posts we hold for this entry, published 17 December 2025 to 4 May 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.

Recent posts

4 May 2026, 06:23 UTC53 views38 reactions2 Starsread 8 August 2026
Photo

Помните, писал про MVP AI-продукта Я тут за вечер накидал концепт e-commerce, где интерфейс работает не как витрина, а как диалог. Не «выбери категорию → поставь 14 фильтров → не найди ничего», а нормальный человеческий сценарий: ты формулируешь задачу, а система собирает ответ в одном потоке — карточки, видео, отзывы, сравнения. Получается уже не совсем магазин в привычном смысле, а скорее слой выбора, собранный

18❤‍🔥8💔5🔥5👍2

25 Apr 2026, 23:20 UTC453 views39 reactions1 Starread 8 August 2026
Photo

Продолжение предыдущего поста про внутренние интерфейсы и операционные продукты. Когда начинаешь разбирать такие системы глубже, становится понятно, что речь почти никогда не об одном интерфейсе. На самом деле это гораздо более широкая система. От приёмки товаров и контроля сроков годности до оформления заказа на кассе, в мобильном приложении, в киоске и последующей выдачи. Каждый из этих этапов связан между собо

20👍9💔6🔥4

25 Apr 2026, 23:19 UTC450 views38 reactions1 Starread 8 August 2026
Photo

За несколько лет работы в продукте, сначала как продуктовый дизайнер, а затем как арт-директор, я всё чаще замечаю одну вещь. Самые сложные UX-задачи редко находятся в пользовательских интерфейсах. Они находятся внутри операционных процессов бизнеса. Когда проектируешь B2C-продукты, многое интуитивно понятно. Мы сами пользователи. Но как только продукт начинает управлять реальными процессами внутри бизнеса, всё с

👍18🔥86💔6

22 Mar 2026, 07:02 UTC473 views36 reactions2 Starsread 8 August 2026
Photo

Очень люблю портативки Nintendo. У меня их аж три: DSi, New 3DS и Switch OLED. В последнее время снова много думаю про emotional design. Кстати, @emo_design классно про это рассказывает, и чем больше я на это смотрю, тем сильнее ощущение, что тема у нас только начинает нормально раскрываться. Если вам вообще интересен эмоциональный дизайн, очень советую просто пощупать приставки Nintendo. Особенно Nintendo 3DS. Там

🔥1610💔4❤‍🔥3👍3

21 Mar 2026, 07:02 UTC462 views36 reactions3 Starsread 8 August 2026
Photo

Когда-то очень давно мне запала одна песня из рекламы Apple. Вообще мне всегда нравился их маркетинговый стиль, и в какой-то момент я решил найти именно этот трек. Пытался шазамить, искать, копаться. И в какой-то момент случайно наткнулся не просто на этот трек, а на целый плейлист в Apple Music с музыкой из рекламы Apple. Как говорится, искал медь, нашёл золото. И вот это реально одна из тех находок, которыми хо

18❤‍🔥5👍5💔5🔥3

20 Mar 2026, 07:01 UTC488 views74 reactionsread 8 August 2026
Photo

Каждый раз одна и та же история. Сейчас в продукте делали срочный апдейт. Быстро собрали, всё готово, нужно просто проверить через TestFlight. И потом три дня ждёшь, пока он там появится. Сам апдейт занял меньше времени, чем ожидание. Смотрю, это уже у всех болит. #workingnotes

24👍13❤‍🔥12💔12🔥12👏1

19 Mar 2026, 07:02 UTC403 views35 reactionsread 8 August 2026
Forwarded from @fancysolutionsPhoto

А вот и первый полезный пост от дизайнера Никиты 😃 в этом году. Он поделился проектами, которые ему нравятся визуально. Это первая часть поста 🤩 Проект — https://benditomockup.com/ ➡️ Визуальная логика В рефе используется журнальная, почти редакционная подача: крупная антиква работает как главный визуальный элемент, а фотографии — как фоновые сюжетные пласты. Такая логика создает ощущение «агентского медиа», где

❤‍🔥18👍6💔5🔥51

19 Mar 2026, 07:02 UTC438 views37 reactionsread 8 August 2026
Forwarded from @fancysolutions

Просыпаемся после небольшого затишья 🤪 И возвращаемся со второй часть поста от Никиты 😃 Первая, кстати, тут. Проект — https://c2mtl.koki-kiko.com/ 😀😀😀😀😀😀😀 😀😀😀😀😀😀😀 😀😀😀😀😀😀😀 😀😀😀😀😀😀😀 😀😀😀😀😀😀😀 😀😀😀😀😀😀😀 😀😀😀😀😀😀😀 ➡️ Визуальная логика В рефе используется журнальная, почти редакционная подача: крупная антиква работает как главный визуальный элемент, а фотографии — как фоновые сюжетные пласты. Такая логика создает ощущение «аг

💔166👍6❤‍🔥5🔥4

19 Mar 2026, 07:01 UTC444 views33 reactionsread 8 August 2026

С ребятами разобрали несколько рефов, делюсь.

❤‍🔥16🔥10👍6👏1

18 Mar 2026, 09:03 UTC449 views42 reactions2 Starsread 8 August 2026
Video

Как раз к теме прошлого поста недавно сами прошли похожий путь и за несколько дней собрали MVP с AI-интерфейсом. Задача была простая и прикладная сделать удобный инструмент для трекинга питания без лишнего трения. Обычные приложения в этом плане перегружены, хотелось проверить, можно ли упростить это через AI. За два выходных (~4 дня) накидали робочий MVP бота. С моей стороны сценарии, логика взаимодействия, tone

🔥208👍8❤‍🔥4👏1🥰1

1 Feb 2026, 14:53 UTC109 views39 reactions1 Starread 8 August 2026

Наткнулся на хороший материал про AI в продуктовой разработке, как за час пройти путь от идеи до MVP не в теории, а руками. Автор довольно трезво раскладывает, где AI реально ускоряет процессы, а где без человеческого решения всё начинает рассыпаться. Особенно полезно смотреть на это не как на «волшебную кнопку», а как на инструмент внутри нормального PDLC. В целом мой вывод простой: для запуска MVP AI сейчас дейст

🔥21👍10❤‍🔥51🗿1🥰1

Showing the 12 most recent of 18 posts we hold for @nikitabelovArchive. 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.

Citation-graph rank

Citation-graph rank — 113,439 of 1,350,102entries 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.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

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.

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

“Belov Archive” (@nikitabelovArchive), 367 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/nikitabelovArchive.

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.