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Telegram profile photo for Denis Sexy IT 🇬🇧

Channel

Denis Sexy IT 🇬🇧

@denissexyit

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

22subscribers

+1 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1001092618589
TypeChannel
Username@denissexyit
Created14 December 2016 — measured — dated from the channel’s first post
First recorded11 August 2026
Last confirmed live12 October 2026
Measurements held4
Confirmed unchanged1 time, most recently 12 October 2026
On Telegramt.me/denissexyit

Topic

Other / unclassifiable — 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 2 October 2026 and assigned it the closest of 31 fixed categories, at 89% 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

2022217 August 2026 — 21 subscribers11 August 2026 — 21 subscribers2 October 2026 — 20 subscribers12 October 2026 — 22 subscribers7 August 202612 October 2026
4 measurements spanning 66 days, net +1. 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 20–22 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Oct 2026, 14:0522+2
2 Oct 2026, 22:2020-1
11 Aug 2026, 14:1521no change
7 Aug 2026, 12:5921first reading

Engagement

12 posts held, back to 14 December 2016 — 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 12 posts for this entry, the most recent from 24 November 2025. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Video runtime
1m 00s
Average length
1m 00s

Measured directly from 1 video 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.

Recent posts

22 Jan 2022, 02:51 UTC693 viewsread 11 August 2026

https://jacobinmag.com/2022/01/cryptocurrency-scam-blockchain-bitcoin-economy-decentralization

20 Dec 2021, 00:26 UTC466 viewsread 11 August 2026

There’s no such thing as a tree 🌳 https://eukaryotewritesblog.com/2021/05/02/theres-no-such-thing-as-a-tree/

18 Dec 2021, 15:21 UTC357 viewsread 11 August 2026

Cool Saturday read: Do large language models understand us? https://medium.com/@blaisea/do-large-language-models-understand-us-6f881d6d8e75

16 Dec 2021, 13:02 UTC290 viewsread 11 August 2026
Video

Lucid Sonic Dreams music video generator python library has been integrated with StyleGan 3 neural network. Expect more juicy videos soon! <3

7 Sept 2021, 14:57 UTC225 viewsread 11 August 2026

The last time you looked for a job and applied to a big company, it was probably an algorithm in HR that "filtered out" how suitable you were for the job. This next article is about the same algorithms, but in the US, and these algorithms "break" the local hiring system. Researchers named automated hiring programs as one of the most significant and most severe barriers to employment. 75% of U.S. employers use them b…

28 Jun 2021, 20:34 UTC≈16,000 viewsread 11 August 2026
Photo

Recently I have found an Instagram of artist from Tomsk, Evgeny Schwenk – he redraws characters from Soviet cartoons as if they were real people. I have applied neural.love neural network which made his drawings even more realistic. Just a bit of Photoshop (mainly for hats) and here we go. I guess Karlsson-on-the-Roof is my best result.

19 Jun 2019, 21:10 UTC413 viewsread 11 August 2026
Video

Experimenting with ARKit 3 human body segmentation to copy skin into 3d

18 Jun 2019, 06:24 UTC353 viewsread 11 August 2026

I have frequently written that our society is not ready yet for technologies like «deepfake» because people still believe in things that they can see with their own eyes. I think, however, that we are finally moving towards the realization that humans can’t believe in anything by relying solely on their eyes and ears anymore. Just now on BBC World News I saw a brief report about «deepfake» technology with one of the…

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

“Denis Sexy IT 🇬🇧” (@denissexyit), 22 subscribers as measured 12 October 2026. Telegram Register, tgregister.com/channel/denissexyit.

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.