Crypto & trading — 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 30 September 2026 and assigned it the closest of 31 fixed categories, at 100% 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
6 measurements spanning 65 days, net -5. 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 33–40 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Oct 2026, 07:16
34
-1
1 Oct 2026, 02:40
35
-2
17 Sept 2026, 05:17
37
-1
9 Sept 2026, 18:37
38
-1
10 Aug 2026, 20:01
39
no change
8 Aug 2026, 04:16
39
first reading
Engagement
14 posts held, back to 14 September 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 14 posts for this entry, the most recent from 14 January 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
51 reactions across 13 posts, in 5 distinct kinds. The most used accounts for 84.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
43
84.3%
😍
3
5.88%
🔥
2
3.92%
🫡
2
3.92%
🏆
1
1.96%
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 13 of the 14 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 51 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 14 most recent posts we hold, published 14 September 2025 to 14 January 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.
⭐️September
✔️#NIGGATECH
60k MC → 181k MC (3x)
✔️#MARKETCAT
57k MC → 113k MC (2x)
✔️$JEW
12k MC → 50k MC (4x)
✔️$JL
18k MC → 145k MC (8x)
✔️$NEBULA
200k MC → 401k MC (2x)
✔️$PUP
30k MC → 90k MC (3x)
✔️$FLIRT
68k MC → 100k MC (4x)
✔️$LERO
40k MC → 122k MC (3x)
✔️#CATLIQUID
20k MC → 36k MC (not 2x)
✔️$FIAT
23 MC → 90k MC (4x)
✔️$USDC
80k MC → 25k MC (not 2x)
⭐️September
✔️#PRICELESS
3.7M MC → 18.2M MC (4x)
✔️#1NU
320k MC → 220k MC (not yet 2x)
✔️$TEST
99k MC → 350k MC (3x)
✔️$LUCY
120k MC → 840k MC (7x)
✔️#LMEOW
23k MC → 70k MC (3x)
✔️$NPC
11k MC → 22k MC (2x)
✔️$PLASTIC
11k MC → 36k MC (3x)
✔️$GTM
20k MC → 80k MC (4x)
✔️$CARSON
215k MC → 25k MC (not 2x)
⭐️September
✔️$WALK
38k MC → 220k MC (5x)
✔️$GUY
44k MC → 100k MC (2x)
✔️$ALONJR
160k MC → 650k MC (4x)
✔️$ASSTER
35k MC → 144k MC (4x)
✔️$CDR
30k MC → 185k MC (6x)
⭐️September
✔️#STREAMLESS
80k MC → 240k MC (3x)
✔️$MIMI
22k MC → 36k MC (not 2x)
✔️$DARE
170k MC → 1.7M MC (10x)
✔️$GRANDPA
22k MC → 250k MC (11x)
✔️$NOD
18k MC → 120k MC (6x)
✔️$UNSTREAM
60k MC → 260k MC (4x)
⭐️September
✔️$FARTIST
80k MC → 240k MC (3x)
✔️$BLU
50k MC → 100k MC (2x)
✔️$DEGEN
80k MC → 1.1M MC (13x)
✔️#UBERSTRMR
130k MC → 500k MC (4x)
✔️$PINK
40k MC → 280k MC (7x)
✔️$W
140k MC → 400k MC (3x)
✔️#GAZA
39k MC → 230k MC (5x)
✔️#STREEMOOR
11k MC → 33k MC (3x)
✔️#64
48k MC → 650k MC (13x)
⭐️September
✔️$JOBERT
14k MC → 44k MC (3x)
✔️$CHICKEN
25k MC → 280k MC (11x)
✔️#OLDSCHOOL
16k MC → 659k MC (41x)
✔️$U
23k MC → 123k MC (38x)
✔️#VAPORWARE
47k MC → 200k MC (4x)
✔️$STREAMER
50k MC → 150k MC (4x)
✔️$CINEMA
110k MC → 750 MC (6x)
❤4🔥1
Showing the 12 most recent of 14 posts we hold for @luvixalpharesults. 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.
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 12 October 2026 — this
entry's latest reading, not the date you are reading this.
“Luvix alpha Results” (@luvixalpharesults), 34 subscribers as measured 12 October 2026. Telegram Register, tgregister.com/channel/luvixalpharesults.
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.