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Created
Between 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
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 9 September 2026 and assigned it the closest of 31 fixed categories, at 67% 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
33 measurements spanning 53 days, net -4,265. 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 52,573–58,118 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
30 Sept 2026, 01:56
53,213
-686
18 Sept 2026, 02:40
53,899
-99
15 Sept 2026, 18:42
53,998
-68
14 Sept 2026, 02:40
54,066
-96
12 Sept 2026, 09:56
54,162
-170
10 Sept 2026, 03:17
54,332
-371
6 Sept 2026, 18:55
54,703
-162
4 Sept 2026, 03:40
54,865
-59
2 Sept 2026, 15:47
54,924
-117
1 Sept 2026, 17:43
55,041
-51
31 Aug 2026, 20:04
55,092
-98
30 Aug 2026, 17:05
55,190
-46
29 Aug 2026, 17:12
55,236
-38
28 Aug 2026, 18:36
55,274
-50
27 Aug 2026, 21:24
55,324
-49
26 Aug 2026, 21:14
55,373
-46
25 Aug 2026, 22:23
55,419
-114
24 Aug 2026, 18:43
55,533
-255
23 Aug 2026, 01:05
55,788
-134
21 Aug 2026, 14:28
55,922
first reading
Engagement
36 posts held, back to 9 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 118 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
46.5%
avg views ÷ 53,213 subscribers
Avg views / post
24,800
13 posts measured
Reaction rate
3.37%
reactions ÷ views · ER floor
Posts in window
13
of 36 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
What these figures were computed from
Window
Rolling 30 days · latest post in window 3 October 2026
Posts held
36 (9 July 2026 – 3 October 2026)
Views total
321,800
Reactions total
10,858
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
5 Oct 2026, 06:23 UTC
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
Photos
259
Videos
271
Links
260
Lifetime counters from Telegram’s own channel header, read 5 October 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.
Video runtime
11m 21s
Average length
40s
Measured directly from 17 videos 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
30,494 reactions across 36 posts, in 4 distinct kinds. The most used accounts for 25.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
👍
7,731
25.4%
🔥
7,591
24.9%
🎉
7,588
24.9%
❤
7,584
24.9%
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 36 of the 36 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 30,494 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 36 most recent posts we hold, published 9 July 2026 to 3 October 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.
Gemini 4 Argon... dead on arrival?
Google announced its new frontier model just DAYS ago, and almost nobody can even use it yet. Access is still limited to trusted cyber defenders.
And the hype cycle has already moved on.
GPT-6 Bel rumors are exploding.
Fable 5.5 leaks are everywhere.
Neither Bel nor Fable 5.5 is officially confirmed right now.
Argon didn't even get a full week in the spotlight.
AI model lifespans ar…
Black Forest Labs just dropped FLUX 3 Image.
Generation and editing are now combined in one model.
What’s new:
Bounding boxes for precise placement and local edits: move, delete, replace, or modify specific objects, faces, text, and elements.
Pixel-perfect editing aims to preserve the rest of the image, though shadows, reflections, and nearby lighting may still shift.
Native 4K rendering up to ~16 MP, versus ~4 …
The comeback nobody expected.
Gemini 4 just dropped, and it’s absolutely cooking the competition on benchmarks.
Even I didn’t expect Google to come back THIS hard.
Forget the dragon memes. The real dragon just entered the arena.
Gemini 4 Argon is here.
Google’s new frontier model is built for complex coding, enterprise knowledge work, and cybersecurity workflows.
And this part is wild: up to a 1M token output l…
Searching for a Suno alternative?
This Vortex walkthrough explores Mozart's music workflow through one original electronic track, from Hans V2 and Vibe to Layers, Studio and Personas. The focus is creative control and what happens after generation, without declaring a winner on sound quality.
https://youtu.be/MW5eGyZ1Xbg
Kling 4.0 launches in October, while Kling 4.0 Flash is already available to Ultra Yearly subscribers.
Kling 4.0 brings:
up to 30 sec per generation;
up to 10 keyframes;
up to 15 multimodal references;
improved Omni Reference and video editing;
up to 4K;
10-bit HDR;
better stereo audio and lip sync;
video extension;
more languages, accents, and dialects.
It can edit characters, facial expressions, movement, object…
Runway has released a plugin for DaVinci Resolve, Adobe Premiere, and After Effects.
It lets you generate, extend, and upscale videos and images directly on the timeline. Video editing, including HDR upgrades, is also available and is powered by Aleph 2.
Available video models: Runway Gen-4.5, Veo 3.1, Seedance 2.5, and Kling 3.0 Pro.
For images: Gen-4 Image, Nano Banana, and GPT Image 2.
The plugin is available …
Opus 5.5 vs GPT-6 Sol & Luna — same day!
Anthropic dropped Opus 5.5, while OpenAI released GPT-6 Sol and Luna.
Opus 5.5: $4 / $20, AA Index 58 (#1), Terminal-Bench 66.4%, GDPval-AA 1846 Elo. Anthropic also promises less “Claude-style” fluff.
Sol: $2 / $10, 1.05M context, AA 48. DeepSWE: 68.8% at $2.74/task.
Luna: $0.10 / $0.50, AA 37. DeepSWE: 66.6% at just $0.22/task — almost the same score as Sol for 12x less.
…
🚨 Qwen-Image 2.1
Alibaba just dropped Qwen-Image 2.1 — a unified text-to-image + image editing model with only 7B parameters.
🔥 Native 2K
🔥 Up to 10 reference images
🔥 Better identity & consistency
🔥 Masks/scribbles for local editing
🔥 Native RGBA + transparency
🔥 ComfyUI support from day one
The really interesting part: RGBA editing and object extraction from regular RGB images. Need to test this one.
💾 VRAM-wis…
Buttery-smooth 120 FPS Three.js arena action, running entirely in your browser. Meet Arena Shooter.
4.6 BILLION Astra tokens burned.
20+ vehicles to capture, zombies, day/night combat, 20+ upgrades & perks, and LLM bots trying to destroy you.
No signup. No install. Just open and fight.
Try https://vortex.channel/vr/soloplay/
Google just dropped Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking.
Gemini 3.8 Live is fast voice-to-voice, understands video/images almost in real time, and automatically switches between 97 languages.
(Siri still has ONE.)
It can call tools and APIs in the background without interrupting the conversation.
Extended Thinking is the version for complex tasks: it can reason and speak simultaneously, handle mu…
FLUX.3 Video Edit model
It can take an existing video and, based on a prompt, change objects, characters, backgrounds, materials, text, effects, and even events within the scene. You can also change dialogue and translate conversations with lip sync.
The biggest bombshell: $0.03 per second. Dirt cheap!
So:
5 sec — $0.15
10 sec — $0.30
15 sec — $0.45
But.
It currently works with clips up to 15 seconds, and input…
New iPhone 18 Pro is finally here. Bigger battery, A20 Pro, vapor chamber, 48MP camera, and finally Siri might actually be GOOD.
That cherry color though… are you getting it?
🔥137🎉132👍129❤120
Showing the 12 most recent of 36 posts we hold for @VortexNextGen. 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.
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
@VortexNextGen 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.
@openai named in 3 posts, 8 August 2026 – 12 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 30 September 2026 — this
entry's latest reading, not the date you are reading this.
“Vortex Next Gen Trends” (@VortexNextGen), 53,213 subscribers as measured 30 September 2026. Telegram Register, tgregister.com/channel/VortexNextGen.
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.