Channel
@perplexity
On this record: Topic · Growth · Engagement · What this channel posts · View velocity · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Domains linked from posts · Cite this entry
1,424,350subscribers
-60,974 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among the largest entries.
| Telegram ID | -1001966009898 |
|---|---|
| Type | Channel |
| Usernames | @anthropic @GPT4Telegram @perplexity |
| Description | World Tech News by Perplexity. AI News by @GPT4Telegrambot Driven by the Community. Ads: @hiai_ads |
| Created | Between 1 April 2023 and 31 October 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 10 November 2026 |
| Measurements held | 191 |
| Confirmed unchanged | 1 time, most recently 10 November 2026 |
| On Telegram | t.me/perplexity |
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 the other topics.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 10 Nov 2026, 23:56 | 1,424,350 | -295 |
| 10 Nov 2026, 09:09 | 1,424,645 | -100 |
| 10 Nov 2026, 03:49 | 1,424,745 | -1,109 |
| 9 Nov 2026, 08:06 | 1,425,854 | -383 |
| 8 Nov 2026, 22:59 | 1,426,237 | -67 |
| 8 Nov 2026, 17:34 | 1,426,304 | -428 |
| 7 Nov 2026, 20:56 | 1,426,732 | +98 |
| 7 Nov 2026, 12:50 | 1,426,634 | no change |
| 7 Nov 2026, 12:46 | 1,426,634 | -198 |
| 6 Nov 2026, 21:46 | 1,426,832 | -433 |
| 6 Nov 2026, 14:54 | 1,427,265 | -151 |
| 6 Nov 2026, 10:59 | 1,427,416 | -160 |
| 6 Nov 2026, 00:46 | 1,427,576 | -510 |
| 5 Nov 2026, 15:36 | 1,428,086 | -316 |
| 5 Nov 2026, 11:30 | 1,428,402 | -382 |
| 5 Nov 2026, 01:09 | 1,428,784 | -137 |
| 4 Nov 2026, 17:37 | 1,428,921 | -21 |
| 4 Nov 2026, 14:10 | 1,428,942 | -478 |
| 4 Nov 2026, 04:21 | 1,429,420 | -363 |
| 3 Nov 2026, 15:56 | 1,429,783 | first reading |
139 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 198 pages of Telegram’s post history, 20 posts per page.
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.
| Window | Rolling 30 days · latest post in window 10 November 2026 |
|---|---|
| Posts held | 139 (21 July 2026 – 10 November 2026) |
| Views total | 2,060,900 |
| Reactions total | 53,847 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 11 Nov 2026, 04:40 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.
Lifetime counters from Telegram’s own channel header, read 11 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.
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 42 of this channel’s own posts over the last 30 days: across 41 of this channel’s own posts with a clear reading, a typical one reaches half of its last-observed view count within 23 hours of being posted; a typical post has already reached 22.2% of its 24-hour view count within the first hour, and 59.4% within the first six; the median 24-hour reach across those posts is 23,000 views — 1.61% of this channel’s own subscriber count (90th percentile 25,700).
| Post | Readings | Latest reading | Curve | 24h reach | Half of last-observed views by |
|---|---|---|---|---|---|
| /127910 Nov 2026, 16:23 UTC | 1373 minutes – 12 hours old | 15,400 views ~326 reactions | 3.0 hours: 10,300 → 6.0 hours: 12,900 → 12 hours: 15,100still climbing at last reading | not yet at 24h | 1.7 hoursprovisional — final view count still climbing |
| /12789 Nov 2026, 19:22 UTC | 3423 minutes – 33 hours old | 28,500 views ~948 reactions | 60 minutes: 5,680 → 3.0 hours: 8,460 → 6.0 hours: 10,100 → 12 hours: 15,000 → 24 hours: 25,700still climbing at last reading | 25,700measured | 11 hours |
| /12779 Nov 2026, 13:23 UTC | 4021 minutes – 39 hours old | 29,500 views ~1,293 reactions | 60 minutes: 5,690 → 3.0 hours: 10,137 interp. → 6.0 hours: 14,867 interp. → 12 hours: 19,200 → 24 hours: 24,300still climbing at last reading | 24,300measured | 5.9 hours |
| /12768 Nov 2026, 08:55 UTC | 7056 minutes – 3 days old | 35,400 views ~1,294 reactions | 60 minutes: 4,056 interp. → 3.0 hours: 7,835 interp. → 6.0 hours: 11,600 → 12 hours: 17,100 → 24 hours: 20,600 → 2 days: 31,700still climbing at last reading | 20,600measured | 13 hours |
| /12756 Nov 2026, 14:52 UTC | 1139 minutes – 5 days old | 46,200 views ~1,528 reactions | 60 minutes: 6,310 → 3.0 hours: 11,000 → 6.0 hours: 14,400 → 12 hours: 16,900 → 24 hours: 23,000 → 2 days: 31,600still climbing at last reading | 23,000measured | 25 hours |
| /12746 Nov 2026, 10:03 UTC | 11752 minutes – 5 days old | 46,200 views ~1,558 reactions | 60 minutes: 6,207 interp. → 3.0 hours: 11,455 interp. → 6.0 hours: 17,600 → 12 hours: 23,300 → 24 hours: 26,900 → 2 days: 33,100still climbing at last reading | 26,900measured | 12 hours |
| /12735 Nov 2026, 17:57 UTC | 12247 minutes – 5 days old | 42,200 views ~1,223 reactions | 60 minutes: 5,240 interp. → 3.0 hours: 8,770 → 6.0 hours: 10,600 → 12 hours: 13,800 → 24 hours: 26,800 → 2 days: 31,800still climbing at last reading | 26,800measured | 18 hours |
| /12725 Nov 2026, 14:33 UTC | 12623 minutes – 6 days old | 44,100 views ~1,273 reactions | 60 minutes: 5,200 → 3.0 hours: 10,100 → 6.0 hours: 15,100 → 12 hours: 17,800 → 24 hours: 26,000 → 2 days: 32,400still climbing at last reading | 26,000measured | 20 hours |
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.
Telegram’s own ‘edited’ marker: 1 of 42 posts held from the last 30 days (2.38%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).
💡 Claude Fable 5.2 Built an FPS in 8 Hours Claude Fable 5.2 built this shooter in 8 hours. And you can play it yourself here. By the way, Claude Fable 5.2 is available on @GPT4Telegrambot with a Premium subscription 🔴
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🙂 Claude Fable 5.2 Is Out and Free for Subscribers Through November 16 The new model is now available, and until November 16 subscribers can use it within half of their weekly limit. After that date, it will be available only through credits. The model is 20% cheaper, now at $8 per million input tokens and $40 per million output tokens, and it clearly outperforms Opus 5.5 across benchmarks. There is also a fast mod…
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🗿 Trump Threatened an AI Executive With Jail Trump threatened a top executive at a major AI company with jail after the DOJ learned that someone was "doing something bad with AI." "We said, 'Do you like the color orange? Because... go home right now, see your wife and children, give them a kiss good night, and that's the story, because tomorrow morning you're going to jail," the U.S. president said, recounting the …
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❗️ "They are running a giant experiment of which we are the guinea pigs" Speaking at the opening of Berlin Science Week, Turing Award laureate and one of the "Godfathers of AI" Yoshua Bengio said that the AI industry is effectively exempt from basic safety rules ⬆️ The scientist pointed out that Anthropic's IPO filings explicitly warn that advanced AI could pose an existential threat to humanity. "And no one's doi…
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🇰🇵 North Korea Starts Training Hackers at Age 11, Defector Says North Korea begins training its hackers at age 11-12, says defector Kim Heung-kwang, who used to train them for the state himself. Every year, 150-200 children are selected from schools and start studying computer science. At 17, the most capable are sent to North Korea’s top universities, and only a select few make it into the army's cyber units. A u…
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🤩🤩🤩 Tesla to End Cybertruck Production in 2027 Tesla is winding down Cybertruck production. The last truck will roll off the line at its Texas factory in mid-2027, and the freed-up capacity will go to the Cybercab robotaxi. Texas is currently the only place where the Cybertruck is built, and there has been no word on moving production elsewhere. According to Musk, the futuristic pickup never managed to win over th…
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🎥 Move Over, CapCut. Instagram Releases Edits Video Editor for Mac The core features mirror the mobile version, with simple editing, effects and music overlays, but now with the convenience of a big screen. More features are promised down the line, including seamless switching between Mac and phone while working on the same project.
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🔴 Create GIFs with GPT Image 2.6 on @GPT4Telegrambot GPT Image 2.6 creates images twice as fast and can also make GIF animations. Ask the AI to create an animated sticker or a short scene, or bring an idea to life from a simple sketch. How to try it: 1️⃣ Go to @GPT4Telegrambot 2⃣ Choose Image Generation → GPT Image 2.6 3⃣ Describe your idea, and if you want an animation, just add "Create an animated GIF" to your p…
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🍕 Italian Chef Fired for Refusing to Put Pineapple on Pizza An Italian chef in Australia was fired for refusing to put pineapple on pizza. Davide Tamburella called pineapple on pizza "an insult to his culture." He tried to challenge his dismissal but lost because he filed his claim too late. Not that it matters much now, since La Costa, the restaurant where he worked, has already closed. Do you eat pineapple on pi…
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💡 Collins Dictionary Names "Mogging" Its Word of the Year To mog someone is to outshine them, whether in looks or in skill. The term comes from AMOG, short for "alpha male of the group." This year Gen Z and Gen Alpha ran with it, and it has crossed over from internet slang into everyday speech. So, do you mog? ❤️ — Yes 🔥 — No
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😎 Fallout: New Vegas Fully Decompiled With AI in Under a Month Several dozen enthusiasts, working with AI models, rewrote the game’s code in C++ from scratch so that the original compiler turns it into machine code that matches the original game byte for byte. All the code is now on GitHub. All thatэs left is to wait for community ports to Android, irons and kettles.
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Showing the 12 most recent of 139 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.
@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.
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.
Named by 34 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.
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 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.
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 41 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.
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 10 November 2026 — this entry's latest reading, not the date you are reading this.
“Discover • Tech News” (@perplexity), 1,424,350 subscribers as measured 10 November 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.