3 measurements spanning 6 days, 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 1,288–1,289 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
14 Aug 2026, 03:26
1,288
-1
7 Aug 2026, 22:33
1,289
no change
7 Aug 2026, 20:54
1,289
first reading
Engagement
7 posts held, back to 26 December 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 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 7 posts for this entry, the most recent from 10 February 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
20s
Average length
20s
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
350 reactions across 7 posts, in 21 distinct kinds. The most used accounts for 25.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
88
25.1%
❤
87
24.9%
❤🔥
55
15.7%
custom 5458721365257387615
28
8.00%
custom 5460635782505066662
16
4.57%
custom 5460734927530142305
15
4.29%
🤩
11
3.14%
🎄
10
2.86%
🥰
8
2.29%
👏
7
2.00%
⚡
4
1.14%
🏆
4
1.14%
🆒
3
0.857%
🍌
3
0.857%
🎉
3
0.857%
custom 5458611018957615670
2
0.571%
custom 5460822373064275852
2
0.571%
custom 5460866138781023491
1
0.286%
custom 5461146140583949196
1
0.286%
👎
1
0.286%
1 further kind
1
0.286%
Custom emoji. 7 of the rows above are Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them areTelegram’s.
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 350reactions 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 26 December 2025 to 10 February 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
2
across the posts below
Posts paid on
1
of 7 we hold a reading for · 14%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @divpublic. 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 26 December 2025 to 10 February 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.
#talk
🗣 Финальный выпуск div.podcast
В этом выпуске подытожим цикл эфиров и открыто поговорим о том, почему умеем работать с большими и сложными задачами.
Ведущий — Антон Евсеев, руководитель отдела брендинга div.
В студии:
Антон Балатрук — арт-директор div.
Дмитрий Марков — продюсер digital-проектов div.
В выпуске:
🔴 чем отличается полноценный digital-продакшен от группы подрядчиков
🔴 почему клиенту не нужен пр…
#talk
🗣 Талант без розовых очков: ремесло, креатив и управление
В новом выпуске div.podcast говорим о том, что на самом деле стоит за сильным результатом в дизайне и digital — и почему одного таланта недостаточно.
Ведущий — Антон Евсеев
Гость — Роман Яресько, руководитель департамента менеджмента div.
В выпуске:
🔴Есть ли разница между дизайнером и художником — и где она действительно важна
🔴Почему вдохновение не …
#talk
🗣 Моушен и 3D — не спецэффект, а рабочий инструмент
В новом выпуске div.podcast говорим о том, как motion и 3D работают в реальном digital-продакшене: от анимированных баннеров и ресайзов до сложных нестандартных проектов и 3D-визуализаций.
Ведущий — Антон Евсеев
Гости — Левон Балаян (руководитель отдела motion & 3D) и Иван Грушко (техлид отдела)
В выпуске:
🔴Где motion и 3D реально помогают бизнесу
🔴Почему …
#life
Перед тем, как бежать резать салаты, хотим сказать…
Этот год — год быстрых изменений, порой не самых простых. Диджитал-рынок стремительно меняется, планка растёт, и, чтобы быть востребованным, важно оставаться гибким и быстро адаптироваться.
Но именно это даёт нам всем большой буст — возможность смотреть на многие вещи по-новому и мыслить шире. И мы хотим сказать: это круто!
Именно с таким подходом мы врывае…
#case
По чуть-чуть закрываем год
Мы не только про диджитал и сайты — брендинг тоже делаем. Благодарим партнёров за доверие, а для вас собрали мини-подборку.
📱 жмяк в зарубежное — Behance
🔥 жмяк в родное — Dprofile
#life
Тёплый и очень приятный новогодний вечер в офисе div. — подвели итоги года и просто хорошо провели время.
Делимся фотокарточками и благодарим всех, кто сделал этот вечер таким.⭐️
🔥28❤13🤩9
Showing the 7 most recent of 7 posts we hold for @divpublic. 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 — 718,875 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.
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 14 August 2026 — this
entry's latest reading, not the date you are reading this.
“div.” (@divpublic), 1,288 subscribers as measured 14 August 2026. Telegram Register, tgregister.com/channel/divpublic.
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.
