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Channel

Vortex Next Gen Trends

@VortexNextGen

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Handles named that no longer answer · Cite this entry

50,474subscribers

-7,004 since we began measuring on 8 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1001506633212
TypeChannel
Username@VortexNextGen
CreatedBetween 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live28 October 2026
Measurements held50
Confirmed unchanged1 time, most recently 28 October 2026
On Telegramt.me/VortexNextGen

Topic

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 the other topics.

Growth

50,47457,47853,9768 August 2026 — 57,478 subscribers8 August 2026 — 57,478 subscribers9 August 2026 — 57,324 subscribers10 August 2026 — 57,236 subscribers11 August 2026 — 57,147 subscribers12 August 2026 — 56,997 subscribers13 August 2026 — 56,880 subscribers14 August 2026 — 56,775 subscribers16 August 2026 — 56,601 subscribers17 August 2026 — 56,447 subscribers18 August 2026 — 56,373 subscribers19 August 2026 — 56,243 subscribers20 August 2026 — 56,014 subscribers21 August 2026 — 55,922 subscribers23 August 2026 — 55,788 subscribers24 August 2026 — 55,533 subscribers25 August 2026 — 55,419 subscribers26 August 2026 — 55,373 subscribers27 August 2026 — 55,324 subscribers28 August 2026 — 55,274 subscribers29 August 2026 — 55,236 subscribers30 August 2026 — 55,190 subscribers31 August 2026 — 55,092 subscribers1 September 2026 — 55,041 subscribers2 September 2026 — 54,924 subscribers4 September 2026 — 54,865 subscribers6 September 2026 — 54,703 subscribers10 September 2026 — 54,332 subscribers12 September 2026 — 54,162 subscribers14 September 2026 — 54,066 subscribers15 September 2026 — 53,998 subscribers18 September 2026 — 53,899 subscribers30 September 2026 — 53,213 subscribers5 October 2026 — 52,585 subscribers9 October 2026 — 52,050 subscribers13 October 2026 — 51,851 subscribers15 October 2026 — 51,752 subscribers16 October 2026 — 51,686 subscribers17 October 2026 — 51,604 subscribers18 October 2026 — 51,547 subscribers19 October 2026 — 51,461 subscribers20 October 2026 — 51,383 subscribers21 October 2026 — 51,253 subscribers22 October 2026 — 51,123 subscribers23 October 2026 — 50,964 subscribers24 October 2026 — 50,865 subscribers25 October 2026 — 50,757 subscribers26 October 2026 — 50,669 subscribers27 October 2026 — 50,600 subscribers28 October 2026 — 50,474 subscribers8 August 202628 October 2026
50 measurements spanning 82 days, net -7,004. 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 49,423–58,529 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 50
Measured (UTC)SubscribersChange
28 Oct 2026, 17:5050,474-126
27 Oct 2026, 16:4950,600-69
26 Oct 2026, 18:5050,669-88
25 Oct 2026, 21:3550,757-108
24 Oct 2026, 19:2850,865-99
23 Oct 2026, 18:3650,964-159
22 Oct 2026, 16:3151,123-130
21 Oct 2026, 13:0551,253-130
20 Oct 2026, 09:2851,383-78
19 Oct 2026, 06:5551,461-86
18 Oct 2026, 03:5951,547-57
17 Oct 2026, 02:3051,604-82
16 Oct 2026, 00:5851,686-66
15 Oct 2026, 00:3551,752-99
13 Oct 2026, 16:4051,851-199
9 Oct 2026, 21:1752,050-535
5 Oct 2026, 16:5652,585-628
30 Sept 2026, 01:5653,213-686
18 Sept 2026, 02:4053,899-99
15 Sept 2026, 18:4253,998first reading

Engagement

44 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 164 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
46.6%
avg views ÷ 50,474 subscribers
Avg views / post
23,500
13 posts measured
Reaction rate
3.68%
reactions ÷ views · ER floor
Posts in window
13
of 44 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
WindowRolling 30 days · latest post in window 26 October 2026
Posts held44 (9 July 2026 – 26 October 2026)
Views total305,900
Reactions total11,272
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken28 Oct 2026, 10:34 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

Video runtime
19m 09s
Average length
50s

Measured directly from 23 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

36,915 reactions across 44 posts, in 4 distinct kinds. The most used accounts for 25.2% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍9,31225.2%
🔥9,21925.0%
🎉9,21024.9%
❤9,17424.9%

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 44 of the 44 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 36,915 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 44 most recent posts we hold, published 9 July 2026 to 26 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.

Recent posts

26 Oct 2026, 16:09 UTC≈20,300 views928 reactionsread 28 October 2026
Video

Tripo just upgraded AI rigging and animation 👀 Tripo Studio now lets you auto-rig 3D characters, generate motion from text, and export animations. What’s new: Full-body rigging with finger bones UE5, Mixamo, VRM & Unity presets Text-to-Motion (1–10 sec) Multi-stage animations Sounds cool, but you’ll still need Blender or Maya to fix deformations. So “game-ready” is questionable. Here’s my bigger question: Why do…

👍239🎉238🔥233❤218

22 Oct 2026, 07:59 UTC≈10,300 views209 reactionsread 28 October 2026
Video

Unitree just dropped (literally) the H2-X Kung Fu Legend Guardian. And robots now have a whole new job: bodyguards. The Chinese promise a powerful humanoid that can protect its owner, throw kung-fu punches, and operate for up to eight hours on a single charge. 😁 Robots used to wash dishes, carry boxes, and mop floors. Now they’re supposed to protect their meatbag owners. This reminds me of the wild ’90s, when priv…

🔥69🎉55❤43👍42

18 Oct 2026, 23:03 UTC≈27,900 views1,940 reactionsread 28 October 2026
Video

BytePlus just dropped OmniHuman 2.0 (no, not Seedance 3). OmniHuman turns a photo and audio into realistic video with synchronized lip movements, facial expressions, gestures, and body movements. It works for music videos, virtual presenters, interviews, podcasts, educational content, ads, and digital characters. Supports speech, music, or both. Key updates: • Duration: Up to 300 seconds of continuous generation …

❤508🔥498🎉467👍467

16 Oct 2026, 07:09 UTC≈20,600 views957 reactionsread 28 October 2026
Video

Fal just dropped Reframe — a tool that changes video aspect ratios using generative outpainting. You can turn a vertical 9:16 video into a horizontal 16:9 video by generating additional content on the sides. Reframe preserves the original footage, timing, and audio track. You can use a prompt to describe what should appear in the newly generated areas. According to the documentation, the tool supports: Input vide…

🎉256👍237🔥233❤231

13 Oct 2026, 07:12 UTC≈24,200 views598 reactionsread 28 October 2026
Video

ByteDance is getting ready to drop world models. First, a leak: an interim Seedance 2.x model will likely arrive before 3.0 — sometime this year, possibly in November. Yesterday, ByteDance showed off a world model that turns text prompts into environments you can explore, controlling both the camera and a character. The demo featured flying around a room on a paper plane, portals between different spaces, and obje…

🔥154❤152🎉151👍141

11 Oct 2026, 11:22 UTC≈29,000 views508 reactionsread 28 October 2026
Photo

Anthropic has officially banned bullying Claude. The new rules now include a separate clause prohibiting “systematic, gratuitous cruelty or abuse” directed at the model. Apparently, bullying matrix multiplication is now off-limits. In other words, if you keep tormenting Claude for no particular reason, it can now simply end the conversation and refuse to respond to you in that chat ever again. That said, ordinary s…

🎉134❤128👍124🔥122

5 Oct 2026, 22:25 UTC≈22,300 views948 reactionsread 28 October 2026
Photo

Google just casually dropped Nano Banana 2.1 in Google Flow 🍌 It’s fast, prompt following looks better, and text + capitalization are noticeably cleaner than Nano Banana 2 and Pro. Some testers say it’s around 2x faster than GPT Image 2.5. Overall, Nano Banana 2.1 feels like it’s all about speed — but I still think GPT Images delivers better quality.

👍246❤234🎉234🔥234

5 Oct 2026, 22:16 UTC≈28,800 views380 reactionsread 28 October 2026
Video

LTX just dropped IC-LoRA Layout to Render for LTX-2.5 22B. ~1.31 GB, rank 128, trained to use a 3D viewport/playblast as a control signal. Neural rendering in action — and open source. Ready-to-use two-pass ComfyUI workflow: LTX-2.5_ICLoRA_Layout_To_Render_Two_Stage_Distilled.json First pass: 960×544, 8 steps. Second: 1920×1088, 3 steps after 2× latent upscale. Input: a Blender playblast + first frame in your t…

👍98🎉95🔥94❤93

3 Oct 2026, 14:50 UTC≈24,800 views712 reactionsread 28 October 2026
Photo

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…

❤193👍178🔥172🎉169

1 Oct 2026, 23:16 UTC≈28,300 views1,224 reactionsread 28 October 2026
Photo

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 …

👍316🔥315❤308🎉285

1 Oct 2026, 07:34 UTC≈21,100 views1,474 reactionsread 28 October 2026
Photo

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…

🔥373🎉369❤367👍365

30 Sept 2026, 11:20 UTC≈28,200 views916 reactionsread 28 October 2026

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

👍247🎉232🔥223❤214

Showing the 12 most recent of 44 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.

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 28 October 2026 — this entry's latest reading, not the date you are reading this.

“Vortex Next Gen Trends” (@VortexNextGen), 50,474 subscribers as measured 28 October 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.