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Channel

ChatGPT-5

@chatgtptg

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Cite this entry

8,073subscribers

+39 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001560700432
TypeChannel
Username@chatgtptg
CreatedBetween 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live31 October 2026
Measurements held22
Confirmed unchanged1 time, most recently 31 October 2026
On Telegramt.me/chatgtptg

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 12 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 the other topics.

Growth

8,0188,0948,0567 August 2026 — 8,034 subscribers7 August 2026 — 8,034 subscribers7 August 2026 — 8,039 subscribers10 August 2026 — 8,049 subscribers13 August 2026 — 8,066 subscribers17 August 2026 — 8,071 subscribers20 August 2026 — 8,081 subscribers24 August 2026 — 8,074 subscribers27 August 2026 — 8,032 subscribers30 August 2026 — 8,026 subscribers2 September 2026 — 8,018 subscribers5 September 2026 — 8,032 subscribers14 September 2026 — 8,038 subscribers17 September 2026 — 8,048 subscribers5 October 2026 — 8,064 subscribers12 October 2026 — 8,072 subscribers15 October 2026 — 8,075 subscribers18 October 2026 — 8,073 subscribers22 October 2026 — 8,088 subscribers25 October 2026 — 8,094 subscribers28 October 2026 — 8,084 subscribers31 October 2026 — 8,073 subscribers8,0737 August 202631 October 2026
22 measurements spanning 85 days, net +39. 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 8,007–8,105 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 22
Measured (UTC)SubscribersChange
31 Oct 2026, 09:008,073-11
28 Oct 2026, 15:288,084-10
25 Oct 2026, 11:158,094+6
22 Oct 2026, 02:278,088+15
18 Oct 2026, 11:158,073-2
15 Oct 2026, 09:318,075+3
12 Oct 2026, 01:378,072+8
5 Oct 2026, 09:018,064+16
17 Sept 2026, 23:398,048+10
14 Sept 2026, 06:168,038+6
5 Sept 2026, 17:218,032+14
2 Sept 2026, 02:128,018-8
30 Aug 2026, 11:488,026-6
27 Aug 2026, 14:288,032-42
24 Aug 2026, 05:578,074-7
20 Aug 2026, 20:268,081+10
17 Aug 2026, 09:558,071+5
13 Aug 2026, 23:198,066+17
10 Aug 2026, 11:078,049+10
7 Aug 2026, 20:338,039first reading

Engagement

21 posts held, back to 19 August 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 19 pages 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 21 posts for this entry, the most recent from 25 August 2026. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
5m 01s
Average length
30s

Measured directly from 10 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

155 reactions across 21 posts, in 5 distinct kinds. The most used accounts for 86.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤13486.5%
👍127.74%
👏42.58%
🔥31.94%
🥰21.29%

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 21 of the 21 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 155 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 21 most recent posts we hold, published 19 August 2025 to 25 August 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

25 Aug 2026, 18:45 UTC563 views4 reactionsread 28 August 2026
Photo

So bad it's even good The neural network will generate you a portrait in the style of MS Paint - you can try it for free: just register and click Create on the model tab. 👉 Try it

❤4

13 Jul 2026, 08:56 UTC≈2,960 views6 reactionsread 28 August 2026
Video

The KreaAI neuron can now generate videos You just select the initial frame and the final one — and the neuron will connect them and make a smooth video transition. 👉 Try it

❤6

2 Jun 2026, 14:40 UTC≈5,100 views8 reactionsread 28 August 2026
Video

AI for effective video content With the help of the Magic Hour neuron, anyone can make unusual and interesting video content. The best open source models are available in a simple interface. 👉 Try it ChatGPT⚡️subscribe

❤6👏2

7 May 2026, 20:02 UTC≈6,590 views6 reactionsread 28 August 2026
Video

AI service for improving photo quality Neuron Ai Image Enlarger is able to increase the image size up to 400% without losing quality. 👉 Try it ChatGPT⚡️subscribe

❤4👏2

31 Mar 2026, 07:09 UTC≈7,780 views12 reactionsread 28 August 2026
Video

We rivet tracks by simply typing the text The Wondercraft neuron generates audio of any complexity: from a simple sample to an entire audio advertisement. Here are all the features: mega-realistic voices, a choice of 30 languages, a simple and clear interface, and the ability to work in a team. 👉 Try it ChatGPT⚡️subscribe

❤11👍1

17 Mar 2026, 16:41 UTC≈6,910 views5 reactionsread 28 August 2026
Photo

AI design for websites The CreatieAI neuron allows you to create UI/UX elements for any project. It will generate any element for your interface on the fly. The service also features ready-made user libraries. 👉 Try it ChatGPT⚡️subscribe

❤5

2 Mar 2026, 16:42 UTC≈6,510 views5 reactionsread 28 August 2026
Photo

Top database of neural networks with built-in search Now you can find AI for any task, compare models by price, speed, number of tokens and other criteria, and all this is absolutely free. https://countless.dev/ ChatGPT⚡️subscribe

❤5

9 Feb 2026, 08:49 UTC≈7,340 views11 reactionsread 28 August 2026
Video

Big update to Minimax The Minimax neuron is now able to generate video from your image — the service is almost as good as GEN-3 and at the same time it works for free! 👉 Test ChatGPT⚡️subscribe

❤11

25 Jan 2026, 19:30 UTC≈7,380 views8 reactionsread 28 August 2026
Video

🎼 Update for Suno Now you can change parts of the text in any part of the song. Before that, it was possible to change only a passage from 10 to 30 seconds, adding a new text or loss. Now the neural network gives much more control over the piece of music, which expands the capabilities of AI. 👉 Try it ChatGPT⚡️subscribe

❤8

11 Jan 2026, 19:10 UTC≈7,120 views10 reactionsread 28 August 2026
Photo

🗂A database of neurons for all occasions Here you will find neural networks for any of your tasks. Different tools for video, design, text and more. 👉 Visit ChatGPT⚡️subscribe

❤10

18 Dec 2025, 08:32 UTC≈8,070 views10 reactionsread 28 August 2026
Video

An AI that escaped from a mental institution It's simple: a new neuron will endlessly rethink your questions until it goes crazy. 👉 Try it ChatGPT⚡️subscribe

❤10

3 Dec 2025, 19:09 UTC≈7,820 views5 reactionsread 28 August 2026
Video

The GEN-3 neuron has been powerfully updated Now she can generate videos from videos. It looks great: you can take any video, change its style, time of day, weather or add visual special effects. 👉 Try it ChatGPT⚡️subscribe

❤4👍1

Showing the 12 most recent of 21 posts we hold for @chatgtptg. 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 31 October 2026 — this entry's latest reading, not the date you are reading this.

“ChatGPT-5” (@chatgtptg), 8,073 subscribers as measured 31 October 2026. Telegram Register, tgregister.com/channel/chatgtptg.

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.