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 16 September 2026 and assigned it the closest of 31 fixed categories, at 96% 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
14 measurements spanning 49 days, net -6. 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 2,096–2,114 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
25 Sept 2026, 20:21
2,098
-8
16 Sept 2026, 20:36
2,106
-5
13 Sept 2026, 07:21
2,111
-1
9 Sept 2026, 01:56
2,112
+5
3 Sept 2026, 11:39
2,107
+2
31 Aug 2026, 16:13
2,105
+1
29 Aug 2026, 01:35
2,104
-1
26 Aug 2026, 02:11
2,105
-2
23 Aug 2026, 10:05
2,107
+2
16 Aug 2026, 21:56
2,105
+1
14 Aug 2026, 00:54
2,104
-1
10 Aug 2026, 12:01
2,105
+1
7 Aug 2026, 14:47
2,104
no change
7 Aug 2026, 12:49
2,104
first reading
Engagement
19 posts held, back to 6 March 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 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 19 posts for this entry, the most recent from 5 February 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
728 reactions across 19 posts, in 18 distinct kinds. The most used accounts for 39.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
287
39.4%
👍
101
13.9%
🔥
96
13.2%
😢
79
10.9%
👎
39
5.36%
😁
33
4.53%
👏
21
2.88%
👀
17
2.34%
🤔
16
2.20%
🥰
10
1.37%
👌
7
0.962%
💯
5
0.687%
😱
5
0.687%
🤩
5
0.687%
🎉
3
0.412%
😍
2
0.275%
🏆
1
0.137%
😈
1
0.137%
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 19 of the 19 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 728 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 6 March 2025 to 5 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.
Looking for a good place to chat about Android on x86/Android PC projects, or find all the options out there for it like Bliss OS, Bass OS, Lineage TV x86_64 and all others? Look no further, because we have a place for that now: android4pc.t.me
BlissLabs is coming to FOSDEM 2026!
We’re thrilled to announce that our stand request for #FOSDEM has been approved!
Catch us at Brussels in 2026, where we’ll be showcasing our flagship technologies BlissOS, Waydroid, and a whole lot more from our open-source ecosystem.
We’ll be sharing a stand with our friends at @shiftphones and @IzzyOnDroid, bringing together the best of what our corner of the #Android world can …
We're now on mastodon. Do give us a follow and help us grow:
https://mastodon.social/@blissroms
https://mastodon.social/@blissos
https://mastodon.social/@blisslabs
The road to completion still takes a thousand miles.... But hey, at least we can have a blog post to report about what we've achieved so far:
https://blog.blissos.org/bliss-updates-2508
Important Announcement: BlissOS is now in lockdown!
Hello everyone,
This is an important announcement regarding the current status of the BlissOS project. We are officially placing the project under a temporary lockdown, effective immediately.
This lockdown means that all of our community chat platforms, including Matrix, Telegram, and Discord, will be locked. Furthermore, all BlissOS websites will be put under co…
Showing the 12 most recent of 19 posts we hold for @BlissOS_Updates. 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.
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
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@BlissOS_Updates named 1 handle 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.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@shiftphones named in 1 post, 8 August 2026 – 8 August 2026
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 25 September 2026 — this
entry's latest reading, not the date you are reading this.
“BlissOS Updates” (@BlissOS_Updates), 2,098 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/BlissOS_Updates.
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.