Channel
@acapello_collabs
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Handles named that no longer answer · Cite this entry
17subscribers
+0 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1001984289252 |
|---|---|
| Type | Channel |
| Username | @acapello_collabs |
| Created | 1 February 2024 — measured — dated from the channel’s first post |
| First recorded | 11 August 2026 |
| Last confirmed live | 11 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/acapello_collabs |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 11 Aug 2026, 20:45 | 17 | no change |
| 7 Aug 2026, 19:45 | 17 | first reading |
5 posts held, back to 1 February 2024 — 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 5 posts for this entry, the most recent from 20 October 2025. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 11 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
44 reactions across 4 posts, in 5 distinct kinds. The most used accounts for 31.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 14 | 31.8% | |
| 💘 | 14 | 31.8% | |
| 🔥 | 11 | 25.0% | |
| 💋 | 4 | 9.09% | |
| ❤🔥 | 1 | 2.27% |
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 4 of the 5 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 44reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 5 most recent posts we hold, published 1 February 2024 to 20 October 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
🗿🗿🗿 HONKAI: STAR RAIL 🗿🗿🗿 Наши чудесные художники хорошо постарались и принесли прекрасные работы к этому большому коллабу! Не поленитесь заглянуть в их домики и порадовать комментариями. 🗿🗿Время выпуска по мск.🗿🗿 1️⃣4️⃣➖0️⃣0️⃣ 🗿вилка в глаз: Келус, Дань Хэн 🗿Килла: Сампо 🗿кuм: Сандей 🗿Mari_D: Миша 🗿oniishi: Ликург, Стелла 🗿CHA1N1KKKOFF!!: Хук 🗿Lísa: Ахерон, Стелла, Кафка 🗿Arisu (DEERPINK): Блэйд, Дань Хэн 🗿Азил:…
🔥11💘5💋4
😀😀😀😀😀😀 🟢 😀😀😀😀😀😀 Наши чудесные художники хорошо постарались и принесли прекрасные работы к этому большому коллабу. Не поленитесь заглянуть в их домики и порадовать комментариями. Время выпуска по мск. 😀😀🟢😀😀 Умэкоти: Иллуми. Совчий: Гон и Джин. Divinatas: Гон. Коварство: Иллуми и Аллука. Кеклз: Киллуа. Арис: Курапика. Паучий Доктор: Пакунода и Нобунага. Укромный шкаф: Аллука. Эллилион: Иллуми и Кур…
❤10❤🔥1
🧹🧹🧹🧹🧹🧹🧹 🧹🧹🧹🧹🧹🧹🧹🧹 Наши чудесные художники хорошо постарались и принесли прекрасные арты к этому коллабу. Не поленитесь заглянуть в их домики и порадовать комментариями. Время выпуска по мск. 🧹🧹🧹🧹🧹 Канонные персонажи: Гермиона: Сынмин. Люциус: Сонхва. Сириус Блэк: Чан, Хан. Римус Люпин: Минхо Авторские персонажи: Чанбин. Хан и Чонин. Есан. Чан. Чан, Хёнджин, Феликс, Чонин. 🧹🧹🧹🧹🧹 Канонные персонажи: Полумна: Минх…
❤4
😊❤️😏👍😊 😊 👍🤔🙄😊😌😁 🙄😌😊😁👍 Наши чудесные художники хорошо постарались и принесли прекрасные арты к этому коллабу. Не поленитесь заглянуть в их домики и порадовать комментариями. Время выпуска по мск. 🙂🙂😊🙌🙌 🎩Шляпник: Докем, Минхо, Хва, Хан. 🐈Чеширский кот: Ёсан, Чонин. 👑Белая королева: Минхо. 🐇Белый кролик: Минхо. 🙂🙌😊🙌🙌 🎩Шляпник: Гаон, Бан Чан, Чонин, Хонджун. 🐈Чеширский кот: Сону. 👑Белая королева…
💘9
Channel created
Showing the 5 most recent of 5 posts we hold for @acapello_collabs. 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 — 773,496 of 1,169,250entries 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.
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.
Names
Channels on the register whose handles appear in this channel's posts.
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.
@acapello_collabs named 25 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
References a handle that is not a live channel — we have no record it ever was one.
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 August 2026 — this entry's latest reading, not the date you are reading this.
“Коллабы от Acapello | Криса” (@acapello_collabs), 17 subscribers as measured 11 August 2026. Telegram Register, tgregister.com/channel/acapello_collabs.
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.