5 measurements spanning 6 days, net -157. 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 5,913–6,118 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Aug 2026, 20:47
5,937
-109
9 Aug 2026, 12:52
6,046
-46
6 Aug 2026, 22:21
6,092
-2
6 Aug 2026, 20:00
6,094
no change
6 Aug 2026, 19:52
6,094
first reading
Engagement
9 posts held, back to 29 January 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 9 pagesof 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 9 posts for this entry, the most recent from 17 February 2025. An engagement rate over an empty window would be a number about nothing.
What this channel posts
Video runtime
10m 45s
Average length
1m 32s
Measured directly from 7 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
302 reactions across 9 posts, in 13 distinct kinds. The most used accounts for 31.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
94
31.1%
👍
70
23.2%
❤
53
17.5%
🆒
34
11.3%
❤🔥
14
4.64%
🙏
9
2.98%
🤩
7
2.32%
😎
6
1.99%
👀
4
1.32%
🤔
4
1.32%
⚡
3
0.993%
👏
3
0.993%
🤯
1
0.331%
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 9 of the 9 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 302reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 9 most recent posts we hold, published 29 January 2025 to 17 February 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Telegram Stars
Stars received
14
across the posts below
Posts paid on
7
of 9 we hold a reading for · 78%
Most on one post
3
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @GPTnewsPlus. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.
Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.
This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.
Counted over the 9 most recent posts we hold for this entry, published 29 January 2025 to 17 February 2025. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.
Orchard Machinery Corporation (OMC) is an American company founded in 1961 that designs and manufactures specialized equipment for tree and shrub pruning. Its machines can tidy up plantations in just one pass. The equipment is equipped with blades that have adjustable height and angle, making them versatile for various tasks. Since each unit is custom-made, the price is negotiated individually with the client.
🤖 GPT…
Apple has introduced a prototype of a desktop robot-lamp with an integrated voice assistant that responds to gestures and voice commands. The demo video shows two versions of the device: the “expressive” one, which dances to music and expresses emotions, and the “functional” one, which remains mostly stationary. The robot is equipped with LED lighting, a camera, a speaker, and a projector. Although this is an early p…
SurgicalAR is a technological augmented reality (AR) platform designed for surgical procedures. According to Usama Chaudhry, CEO of the American company Medivis, which developed SurgicalAR, surgeons today are forced to mentally merge fragmented medical data to accurately plan and perform operations. This process is extremely complex, inefficient, and increases the risk of errors.
To address this issue, Medivis has i…
Traditional physics textbooks use static diagrams, requiring students to visualize dynamic processes on their own. Augmented Physics changes this by transforming textbook images into interactive 3D simulations using AI. Students can take photos of diagrams with a tablet, and the Segment Anything AI system from Meta identifies and animates objects, applying physical laws. This enables the study of phenomena such as li…
The Singapore-based startup Strutt has introduced a prototype of the Strutt ev¹, a self-driving wheelchair with an autopilot system. The device is equipped with a swappable lithium iron phosphate (LFP) battery, dual LiDAR sensors, built-in armrest headlights, and a joystick for manual control. Details regarding the release date and pricing have not yet been disclosed.
Key Features of Strutt ev¹:
• Co-Pilot System – …
In the Chinese furniture industry, a new trend has emerged — the production of compressed sofas and armchairs that are vacuum-packed. Upon opening the packaging, the products regain their original shape.
A distinctive feature of this furniture is the absence of a rigid frame, replaced instead by polymer materials with memory foam properties, similar to those used in mattresses. According to manufacturers, the compre…
Scientists from the University of Science and Technology of China, led by Nikolaos Freris, have developed the robotic manipulator SpiRobs, inspired by octopus tentacles and an elephant’s trunk. It can bend 360°, grasp objects of various shapes, and lift loads up to 260 times its own weight with 95% task execution accuracy.
More Details:
The manipulator uses a cable-driven system to control its grip and successfully …
🔥14👍8🆒7😎3🤔2
Showing the 9 most recent of 9 posts we hold for @GPTnewsPlus. 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.
Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.
Citation-graph rank
Citation-graph rank — 1,283,276 of 1,345,403entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Mentions
Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
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.
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 August 2026 — this
entry's latest reading, not the date you are reading this.
“GPTnews+⚡️Новости ИИ+” (@GPTnewsPlus), 5,937 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/GPTnewsPlus.
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.
