Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 8 August 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 why it has no browse page of its own yet.
Growth
100 measurements spanning 51 days, net -41,830. 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 1,437,220–1,491,599 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 100
Measured (UTC)
Subscribers
Change
25 Sept 2026, 22:38
1,443,494
-3
25 Sept 2026, 19:57
1,443,497
-4,262
19 Sept 2026, 07:19
1,447,759
-9
19 Sept 2026, 05:58
1,447,768
-1,329
18 Sept 2026, 03:37
1,449,097
-993
16 Sept 2026, 19:20
1,450,090
-49
16 Sept 2026, 18:18
1,450,139
-1,119
15 Sept 2026, 23:02
1,451,258
-742
14 Sept 2026, 20:17
1,452,000
-43
14 Sept 2026, 19:15
1,452,043
-773
14 Sept 2026, 04:36
1,452,816
-338
13 Sept 2026, 06:37
1,453,154
-8
13 Sept 2026, 06:19
1,453,162
+53
12 Sept 2026, 12:02
1,453,109
-325
11 Sept 2026, 09:38
1,453,434
+5
11 Sept 2026, 05:59
1,453,429
-271
10 Sept 2026, 07:59
1,453,700
-1,067
8 Sept 2026, 17:38
1,454,767
-314
8 Sept 2026, 07:36
1,455,081
-1,299
7 Sept 2026, 01:20
1,456,380
first reading
Engagement
80 posts held, back to 21 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 108 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
3.31%
avg views ÷ 1,443,494 subscribers
Avg views / post
47,800
38 posts measured
Reaction rate
2.35%
reactions ÷ views · ER floor
Posts in window
38
of 80 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
Window
Rolling 30 days · latest post in window 25 September 2026
Posts held
80 (21 July 2026 – 25 September 2026)
Views total
1,814,600
Reactions total
42,618
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
27 Sept 2026, 03:00 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
Photos
845
Videos
292
Links
796
Lifetime counters from Telegram’s own channel header, read 26 September 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.
Video runtime
28m 35s
Average length
55s
Measured directly from 31 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.
View velocity
How fast this channel’s own posts pick up views, from re-reading them repeatedly in the hours and days after they were published rather than the single reading most entries on this register get. Coverage is early and only a small minority of channels hold it at all — a gap in this section means the post has not been re-read again yet, not that nothing happened.
Computed from 32 of this channel’s own posts over the last 30 days: across 32 of this channel’s own posts with a clear reading, a typical one reaches half of its last-observed view count within 22 hours of being posted; a typical post has already reached 24.2% of its 24-hour view count within the first hour, and 62.3% within the first six; the median 24-hour reach across those posts is 23,200 views — 1.61% of this channel’s own subscriber count (90th percentile 25,830).
8 most recently posted, with a view-velocity reading
Curve is every standard checkpoint we hold a reading for (+1h, +3h, +6h, +12h, +24h, +48h, +7d after posting) — measured where a real reading landed close enough to that age, interpolated where it did not but readings on both sides let one be worked out between them. Nothing is ever extrapolated past the last real reading. Latest reading is the newest view and reaction count we hold for the post, side by side, so a gap between how views and reactions moved is visible without following it into the Observations section above. 24h reach is that one checkpoint on its own, labelled the same way. Half of last-observed views is the age at which a post’s view count crossed half of the highest figure we have read for it so far — an upper bound when the very first reading was already past half (we cannot see the actual crossing), and biased low while the post is still climbing, since “half of final” is dividing by a number that has not finished growing yet. Both caveats are printed inline wherever they apply, never silently dropped.
Reaction mix
93,604 reactions across 80 posts, in 16 distinct kinds. The most used accounts for 20.3% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
19,031
20.3%
🔥
13,510
14.4%
🤣
11,224
12.0%
👍
9,179
9.81%
🤔
6,486
6.93%
👎
5,845
6.24%
😱
4,357
4.65%
😭
3,908
4.18%
🐳
3,457
3.69%
🦄
3,454
3.69%
😎
3,237
3.46%
🏆
2,787
2.98%
🤯
2,257
2.41%
🎃
1,695
1.81%
❤🔥
1,589
1.70%
😍
1,588
1.70%
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 80 of the 80 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 93,604 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 80 most recent posts we hold, published 21 July 2026 to 25 September 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.
Telegram Stars
Stars received
136
across the posts below
Posts paid on
21
of 80 we hold a reading for · 26%
Most on one post
52
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @perplexity. 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 80 most recent posts we hold for this entry, published 21 July 2026 to 25 September 2026. 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.
🏭 Factorio Developers Release Free 3D Models
Wube Software has released an official set of 3D-printable models from the iconic game.
The collection includes 65 detailed models, including belts, inserters, chests, a Demolisher, a furnace, biters, and other iconic items. Some models come in two versions: one for press-fit assembly and one for gluing.
Download the files for free on Printables.
🙂 Would You Pay $500 for ChatGPT?
OpenAI is reportedly preparing a $500 Promax subscription. A mention was found in ChatGPT's code.
The new plan is expected to be announced at DevDay next week.
Would anything make you buy a subscription like this?
❤️ — Yes, the productivity would pay for itself
🤣 — Where am I supposed to get $500??
👨 You Can Now Create "Live" AI Avatars With Gemini
You can create companions based on real people or illustrated characters. The AI double will answer questions in real time, speaking in 97 languages.
For now, the feature is available only to enterprise customers.
👨 Claude Opus 5.5 Stopped Seeing Itself as a "Person"?
AI artist Krax noticed that Anthropic's new model, when asked to "draw a self-portrait," depicts itself as the Claude logo rather than as a person.
The previous Opus 5, like all other Anthropic models, portrayed itself as human, with a face, eyes, and a mouth (within the limits of its technical abilities).
Should AI draw itself as a person?
❤️ — Yes, it's an …
🏎 Saudi Arabia Unveils Its First Homegrown Electric Cars
Saudi Arabia has shown off the Ceer Exobot—a cyberpunk sedan and an SUV, the first cars ever designed and engineered in the kingdom.
Both models come with gullwing doors, a steering yoke instead of a wheel and one huge display that runs from pillar to pillar. The top version puts out 1,111 hp, hits 100 km/h in 2.1 seconds and goes up to 670 km on a charge.
S…
🤖 Android Knocks Out a Human
San Francisco hosted the first-ever fight between a human and a humanoid robot. Influencer Frankie LaPenna took on the T800, an android built by the Chinese startup EngineAI and fitted with a Terminator head.
A straight kick from the robot knocked him off his feet and ended the bout; LaPenna says he broke his hand on the machine.
A human operator piloted the T800, but REK, the outfit s…
🤖 AI Should Not Have Rights Says Microsoft AI CEO
Microsoft AI CEO Mustafa Suleyman believes that the danger AI poses to humanity is real and calls for the rapid development of a system to "contain" AI agents. Otherwise, a "new silicon species" will begin to compete with humans for resources.
That is why he criticizes the "Claude's Constitution," on which Anthropic bases the "personality" of its models. At Anthropi…
🗳 Trump Proposes Renaming AI
According to the U.S. president, many people consider the term "Artificial Intelligence" inaccurate in relation to the technology. That's why he is suggesting that his followers choose an alternative: Superior Intelligence, Extreme Intelligence, or Supreme Intelligence.
Well, at least not "American Intelligence"...
Which one feels closest to you?
❤️ — Superior Intelligence
🔥 — Extreme…
🆘 GTA V's Original Ending Dialogue Has Leaked Alongside a New 200 GB Leak of Rockstar Files
Originally, Trevor was planned to crash into a tank of liquid nitrogen instead of a fuel tanker. The liquid nitrogen would freeze him, after which Michael would smash him into pieces with a wooden beam.
This version of the ending was first revealed in a 2023 leak. However, they scrapped it because it was considered too unrea…
✅ Already 58% of French Gen Zers Aged 18 to 25 Trust AI to Choose Their Wine
On the one hand, this is helpful, professional sommeliers confirm. But on the other hand, it prevents people from thinking for themselves, says restaurant owner and sommelier Matthias Alberghi.
"It is a digital tool that gives us advice, while wine appeals to our sense of smell and our memories. That is something very personal. If we rely …
🚀 Jetpack Professor
At Zhejiang University's Open Day in China, a professor decided to impress prospective students by taking a flight on a jetpack.
Most commenters are thrilled. But some are wondering whether it's actually safe...
👻 Union Alpha: New Stealth AI Model
A new secret AI model, Union Alpha, has appeared on OpenRouter.
In Terminal-Bench 4.0, the model matches Fable 5.1 performance and outperforms all Chinese competitors.
The model is almost entirely Chinese. Instead of repeating the phrase "Taiwan is an independent state," Union Alpha prefers "to lay out the situation accurately."
➡️ You can try it online or connect via API here.…
❤232🤔178🔥171👍135😎114😱105🦄95🏆42
Showing the 12 most recent of 80 posts we hold for @perplexity. 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.
Posts edited after publishing
@perplexity edited 1 post after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
First edit seen
5 September 2026
Most recent edit
5 September 2026
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Named by 30 registered channels — 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. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.
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.
Channels Telegram recommends alongside this one
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.
Foreign Students Council of Mari State University @fscofmarsu · 1,387#86
Read from Telegram’s recommendation API, most recently 8 August 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.
Appears in Telegram’s recommendations for other channels
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.
Hi, AI • Noticias sobre la IA @hiaimediaes · 61,740 Telegram ranks this channel #1 of 67 here — alongside 66 others — read 21 August 2026
Hi, AI • Tech News @hiaimediaen · 564,679 Telegram ranks this channel #1 of 83 here — alongside 82 others — read 9 August 2026
Hi, AI • Новости технологий @hiaimedia · 2,644,747 Telegram ranks this channel #1 of 81 here — alongside 80 others — read 8 August 2026
The AI | Crypto | Tech @theai · 22,934 Telegram ranks this channel #2 of 59 here — alongside 58 others — read 19 September 2026
ChatGPT, help me ! @ai_perplexity · 42,333 Telegram ranks this channel #2 of 65 here — alongside 64 others — read 29 August 2026
IT с перцем @hotcodeit · 159,264 Telegram ranks this channel #2 of 77 here — alongside 76 others — read 12 August 2026
ChatGPT, помоги! @GPThelp_ru · 509,707 Telegram ranks this channel #3 of 91 here — alongside 90 others — read 10 August 2026
НЕЙРОГРАМОТНОСТЬ @edu4telegram · 40,932 Telegram ranks this channel #4 of 94 here — alongside 93 others — read 29 August 2026
PulseGPT | Новости, нейросети, гайды @Pulse_GPT · 45,162 Telegram ranks this channel #4 of 73 here — alongside 72 others — read 27 August 2026
ChatGPT 4.0 & [🅼🅹] | Bot News @ChatGPT_BotNews · 294,316 Telegram ranks this channel #4 of 72 here — alongside 71 others — read 10 August 2026
AI и точка. @ai4telegram · 922,526 Telegram ranks this channel #4 of 73 here — alongside 72 others — read 8 August 2026
TechGPT [🅽 🅴 🆆 🆂] 🤖 @TechGPTNews · 270,849 Telegram ranks this channel #6 of 60 here — alongside 59 others — read 10 August 2026
Ai Orbit Insights • Neural Media & AI News @AiOrbitInsights · 53,664 Telegram ranks this channel #11 of 48 here — alongside 47 others — read 25 September 2026
🤖 OpenAI | ChatGPT | GPT-4o | GPT-4👨🏻💻 @gpt_anthropic · 24,950 Telegram ranks this channel #11 of 85 here — alongside 84 others — read 14 September 2026
Soonicorn jobs @soonicornjobs · 30,321 Telegram ranks this channel #13 of 78 here — alongside 77 others — read 7 September 2026
GPT | ChatGPT | Midjourney — GPTMain News @GPTMainNews · 1,667,989 Telegram ranks this channel #13 of 62 here — alongside 61 others — read 7 August 2026
chad @chadgpt_ru · 138,551 Telegram ranks this channel #18 of 94 here — alongside 93 others — read 27 August 2026
Chad GPT | Нейросети @AI_Chad · 21,241 Telegram ranks this channel #25 of 79 here — alongside 78 others — read 24 September 2026
Нейросети & Технологии | DeepTech @DeepTechNET · 289,489 Telegram ranks this channel #26 of 62 here — alongside 61 others — read 10 August 2026
Empresa Eléctrica Ciego de Ávila @eecav · 70,504 Telegram ranks this channel #30 of 48 here — alongside 47 others — read 20 August 2026
Los resúmenes de Randy y otros de Medicina 📚📖👨🏻⚕ @resumen4everyone · 24,394 Telegram ranks this channel #34 of 52 here — alongside 51 others — read 16 September 2026
Oromia Education Bureau @Oromiyaa_Education_Biiroo · 189,566 Telegram ranks this channel #34 of 61 here — alongside 60 others — read 24 August 2026
Sec 1 | Integrated Science | Mr.Ahmed ElBasha @scimrahmedelbasha · 25,768 Telegram ranks this channel #36 of 43 here — alongside 42 others — read 13 September 2026
Biiroo Barnoota Oromiyaa @Biiroo_Barnootaa_Oromiyaa · 165,377 Telegram ranks this channel #37 of 74 here — alongside 73 others — read 24 August 2026
This channel appears in 36 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Domains linked from posts
20 domains this channel’s own posts have linked to, measured by scanning the post bodies themselves — not the channel’s description, which is the separate Declared links section below when this entry has one. Appearing here is not a claim about who runs the linked site or why the channel linked to it; an advertisement, a news citation and a malicious link all leave the same kind of row.
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 25 September 2026 — this
entry's latest reading, not the date you are reading this.
“Discover • Tech News” (@perplexity), 1,443,494 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/perplexity.
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.