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Channel
@gpt_chatru
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Posts recorded as deleted · Citations · Telegram's recommendations · Cite this entry
19,797subscribers
+284 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
| Telegram ID | -1001848655835 |
|---|---|
| Type | Channel |
| Username | @gpt_chatru |
| Description | https://telega.io/catalog/?r=315q_dtk A channel about AI, technology and useful tools. Bot: @gpturbo_bot Contact - @garmanv https://telega.io/c/gpt_chatru |
| Created | Between 1 October 2022 and 30 September 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 5 November 2026 |
| Measurements held | 52 |
| Confirmed unchanged | 1 time, most recently 5 November 2026 |
| On Telegram | t.me/gpt_chatru |
Giveaways & airdrops — 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 10 September 2026 and assigned it the closest of 31 fixed categories, at 65% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 5 Nov 2026, 17:37 | 19,797 | +39 |
| 4 Nov 2026, 16:56 | 19,758 | +21 |
| 3 Nov 2026, 13:29 | 19,737 | +6 |
| 2 Nov 2026, 11:55 | 19,731 | -1 |
| 1 Nov 2026, 13:05 | 19,732 | -7 |
| 31 Oct 2026, 15:59 | 19,739 | -4 |
| 30 Oct 2026, 19:21 | 19,743 | -5 |
| 28 Oct 2026, 22:30 | 19,748 | +5 |
| 26 Oct 2026, 02:59 | 19,743 | -6 |
| 25 Oct 2026, 02:11 | 19,749 | -8 |
| 24 Oct 2026, 03:58 | 19,757 | +5 |
| 23 Oct 2026, 01:47 | 19,752 | +18 |
| 21 Oct 2026, 23:51 | 19,734 | +17 |
| 20 Oct 2026, 18:46 | 19,717 | +5 |
| 19 Oct 2026, 20:30 | 19,712 | +6 |
| 18 Oct 2026, 17:44 | 19,706 | +9 |
| 17 Oct 2026, 19:06 | 19,697 | +11 |
| 16 Oct 2026, 18:08 | 19,686 | +4 |
| 15 Oct 2026, 17:56 | 19,682 | -1 |
| 14 Oct 2026, 14:56 | 19,683 | first reading |
13 posts held, back to 10 January 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 64 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 13 posts for this entry, the most recent from 5 August 2026. An engagement rate over an empty window would be a number about nothing.
Lifetime counters from Telegram’s own channel header, read 6 November 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.
Measured directly from 4 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.
85 reactions across 13 posts, in 6 distinct kinds. The most used accounts for 70.6% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 60 | 70.6% | |
| 👍 | 8 | 9.41% | |
| 🤯 | 8 | 9.41% | |
| 🔥 | 6 | 7.06% | |
| 😱 | 2 | 2.35% | |
| 🫡 | 1 | 1.18% |
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 13 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 85 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 13 most recent posts we hold, published 10 January 2026 to 5 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.
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❤11
A powerful Windows speed booster — cleans your system of junk and unnecessary features in one click. RyTuneX helps optimize Windows 10 and Windows 11: removes junk, disables tracking, reduces system load, and frees up resources. Features: — Removes unnecessary Windows applications; — Disables telemetry and data collection; — Optimizes the system and reduces resource consumption; — Displays detailed hardware and sy…
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Watch the video generated on the Seedance 2 model. This isn't just a video; it's some kind of metaphysics. I still doubt this model will be released anytime soon, like the first version of Sora did. Traditional film and effects creation is a huge market, and Byte Dance is destroying this tradition, and behind this "tradition" is huge Hollywood money. They won't give it up so easily. One possible scenario is selli…
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"High-quality sound" enthusiasts and audiophiles couldn't distinguish music transmitted through copper wire from... banana and mud. The diyAudio forum conducted a fun test: participants were asked to listen to the same tracks and guess what they were played on. The options included an original CD recording, professional copper wire, 20 cm of wet mud, and a 13-cm banana. Only 6 out of 43 answers were correct. A good…
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PDFs are no longer a problem: PDF-Extract-Kit 1.0 has been released — a neural network extracts tables, fields, numbers, and text from PDFs and transforms them into a neat structure. Suitable for invoices, contracts, scientific articles, and any messy documents where you previously had to copy everything by hand. The tool is very useful: students can quickly extract citations, tables, and bibliographies from educat…
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Anthropic released Claude Opus 4.6, a model with a million tokens. The new version scores 82.7% on the SWE-bench benchmark. It also shows strong results in agent tasks. The main feature is a context window with a capacity of 1 million tokens. This is the first model in the Opus line with this capacity. Available to paid subscribers.
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Neural networks can now rent a human – a freelance marketplace called Rent a Human has appeared for AI agents. On this platform, an AI can hire a human to perform tasks it cannot handle itself. Available options include experienced CEOs, programmers, specialists in solving CAPTCHAs or performing the task of "touching grass," and even... an OnlyFans model. AI won't conquer humanity, it will rent it.
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Waypoint-1: An Open-Source Real-Time Game World Generator Overworld, a startup founded by former members of the Stability AI research team, has open-sourced Waypoint-1—two models (2.3B and 6.1B) for generating interactive worlds based on text prompts. They also raised $4.5 million in a pre-seed round. I tried it, and overall, it looks like any other real-time diffusion world generator. Nothing groundbreaking, but i…
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Clawdbot is making waves on social media — your fully-fledged AI employee that connects to 50 (!) different services, remembers context, and runs locally on your hardware 24/7. Riding the wave of hype, a compelling set was released. It offers 565+ skills — the AI can respond to your Telegram requests, connect to your smart home, order food, manage social media, and automate anything. The photo shows the best chea…
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Lego has released sneakers in the shape of its signature building blocks. They will be available in yellow or red. The price is $150. Sales will start on February 16. We hope they're comfortable to walk in.
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You can now assemble origami directly in your browser — someone has created a service that allows you to assemble figures on a foldable smartphone. For this, we are waiting for a foldable iPhone.
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A 140-year-old video has appeared on YouTube. It has no sound, no images, and not even a title. The description consists of a set of symbols that can be deciphered to reveal a sinister message in Arabic: “Come and meet me in hell.” The video suddenly appeared in user recommendations. In a week, it gained over 1 million views.
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Showing the 12 most recent of 13 posts we hold for @gpt_chatru. 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.
We recorded 1 post on @gpt_chatru as deleted — posts this register held that were missing from the channel’s public page on two separate reads, taken from different network addresses at least an hour apart.
A deletion is not wrongdoing. This register can see that a post it held is no longer on the channel’s public page, and when — not why. Expired ad placements, reposts, rotating links and corrections all look the same. This is a count of recorded detections, not an exact total: it misses deletions we could not see, because only a post we held and later re-read inside the page can be seen to go, and it may include a small number of wrong records. How this is measured.
Names
Channels on the register whose handles appear in this channel's posts.
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.
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
Read from Telegram’s recommendation API, most recently 1 October 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 8 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 5 November 2026 — this entry's latest reading, not the date you are reading this.
“Chat GPT” (@gpt_chatru), 19,797 subscribers as measured 5 November 2026. Telegram Register, tgregister.com/channel/gpt_chatru.
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.