Other / unclassifiable ā a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channelās own recent posts on 7 October 2026 and assigned it the closest of 31 fixed categories, at 68% confidence. This is a modelās 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 ā 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
4 measurements spanning 25 days. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between ā snapshots are recorded only when a count changes, so gaps mean āno change observedā, never āinterpolatedā. The vertical axis spans 223ā224 and does not start at zero.
Measurement log ā every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
7 Oct 2026, 06:58
224
+1
25 Sept 2026, 10:17
223
-1
14 Sept 2026, 00:19
224
no change
12 Sept 2026, 13:22
224
first reading
Engagement
11 posts held, back to 26 March 2026 ā the reader has not yet reached the start of this channelās public history, so older posts may sit further back, unread. Read across 1 page of Telegramās 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 ā we hold 11 posts for this entry, the most recent from 1 September 2026. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
51s
Average length
13s
Measured directly from 4 videos with a duration reading, out of the posts we hold for this channel ā not this channelās 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 Telegramās own rounded chrome, so it carries no ā mark.
Reaction mix
600 reactions across 11 posts, in 43 distinct kinds. The most used accounts for 9.67% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
customĀ 5325687613712003141
58
9.67%
customĀ 5312221276331345755
50
8.33%
customĀ 5206279783352139101
49
8.17%
customĀ 5305354096071430465
34
5.67%
customĀ 5323757622912905091
25
4.17%
customĀ 5289988446843070474
24
4.00%
customĀ 5312205311937906370
24
4.00%
customĀ 5204053315255566853
23
3.83%
customĀ 5436254069209453054
22
3.67%
customĀ 5433855845370727300
21
3.50%
customĀ 5233643844628663337
20
3.33%
customĀ 5323708926573702121
18
3.00%
customĀ 5289562703914883884
17
2.83%
customĀ 5366552604035803681
17
2.83%
customĀ 5449772921155236972
17
2.83%
customĀ 5240023567575300267
16
2.67%
customĀ 5271775242887389179
16
2.67%
customĀ 5400080385763723596
15
2.50%
customĀ 5400270841793500427
15
2.50%
customĀ 5323369868970453612
13
2.17%
23 further kinds
106
17.7%
Custom emoji. Every row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id ā 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 are Telegramās.
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 ā š is thanks in one channel and mourning in another ā 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 ā 4.34K, 1.2M ā 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 11 of the 11 sampled posts in this sample. Summed by Telegramās own count on each post ā not by adding up the per-emoji breakdown above ā those same posts carry 600 reactions in total: the kind of figure the paragraph above means by āa reaction total printed elsewhere on the pageā.
Measured over the 11 most recent posts we hold, published 26 March 2026 to 1 September 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
157
across the posts below
Posts paid on
11
of 11 we hold a reading for Ā· 100%
Most on one post
27
single highest reading
A paid reaction is a reader spending Telegram Stars ā bought with money ā on a post by @angelliinna1. 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 11 most recent posts we hold for this entry, published 26 March 2026 to 1 September 2026. Star counts above 1,000 reach us in Telegramās short form and carry the same three-significant-figure rounding as everything else on this page.
Showing the 11 most recent of 11 posts we hold for @angelliinna1. 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 ā was rounded by Telegram before we ever saw it ā t.me prints views in full below 1,000 and to three significant figures above, so ā1,200,000 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 ā 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.
Appears in Telegramās recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly ā each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone elseās query is independent of having been queried itself.
апвоŃŃ @upvote_audio Ā· 26,484 Telegram ranks this channel #38 of 41 here ā alongside 40 others ā read 12 September 2026
This channel appears in 1 seed channel's Telegram-generated recommendation list in total. Each is Telegramās list for THAT channel, not this one ā see how this is measured.
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 7 October 2026 ā this
entry's latest reading, not the date you are reading this.
āš Angelliinna šā (@angelliinna1), 224 subscribers as measured 7 October 2026. Telegram Register, tgregister.com/channel/angelliinna1.
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 Ā· 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.