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Channel

AI Post — Artificial Intelligence

@aipost

2 usernames

On this record: Topic · Observations · Channels linked by matching posts · Growth · Engagement · What this channel posts · View velocity · Reactions · Stars · Posts · Posts recorded as deleted · Citations · Telegram's recommendations · Domains linked from posts · Cite this entry

665,959subscribers

-82,133 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 316,228–1,000,000.

Register entry

Telegram ID-1001526709058
TypeChannel
Usernames@aipost @futurism
Description🤖 The #1 AI news source! We cover the latest artificial intelligence breakthroughs and emerging trends. Manager: @rational
CreatedBetween 1 August 2021 and 28 February 2023 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live11 November 2026
Measurements held108
Confirmed unchanged1 time, most recently 11 November 2026
On Telegramt.me/aipost

Topic

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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear in near-verbatim form on 8 other registered channels. This entry also sits inside a group of 4 channels linked by matching posts, directly or through other channels in the group; two members of the group may share no posts with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (6 of the pairs behind the counts below)
Posted firstThenOverlapGap
@aipost/7756 · this entry7 Aug 2026, 11:15 UTC@nytimes_world/480338 Aug 2026, 04:53 UTC1.0018 hours
@aipost/7851 · this entry15 Aug 2026, 22:16 UTC@nytimes_world/4805317 Aug 2026, 02:34 UTC1.0028 hours
@aipost/7867 · this entry17 Aug 2026, 08:57 UTC@nytimes_world/4805417 Aug 2026, 09:04 UTC1.007 minutes
@aipost/7883 · this entry19 Aug 2026, 01:09 UTC@nytimes_world/4805519 Aug 2026, 01:13 UTC1.004 minutes
@aipost/7953 · this entry26 Aug 2026, 05:17 UTC@nytimes_world/4806426 Aug 2026, 05:18 UTC1.002 minutes
@aipost/8611 · this entry25 Oct 2026, 18:25 UTC@nytimes_world/4814725 Oct 2026, 22:17 UTC1.003.9 hours
Channels this entry shares post bodies with, where at least one matching post pair has no forward credit between the two channels, or to a common source, recorded in our data
ChannelMatching postsText overlapTypical gapPublished first
@nytimes_world24 (8/8 hand-verifiable sample passed)1.0025 minutesthis entry (24–0)
@ai_chatgpt13 (8/8 hand-verifiable sample passed)0.997.7 hoursthis entry (12–1)
@CoinBureau13 (8/8 hand-verifiable sample passed)0.9719 hours@CoinBureau (13–0)
@u_s_a11 (8/8 hand-verifiable sample passed)1.0020 minutesthis entry (11–0)
@CryptoWorldNews10 (8/8 hand-verifiable sample passed)0.9720 hours@CryptoWorldNews (10–0)
@free_life599 (8/8 hand-verifiable sample passed)1.003.2 hoursthis entry (9–0)
@images0247 (7/7 hand-verifiable sample passed)1.002 minutesthis entry (7–0)
@dailystats5 (5/5 hand-verifiable sample passed)1.002.2 hoursthis entry (5–0)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. 24 of the 24 matches recorded here fall after that date and carried no header when we read them. The rest predate reliable capture and are not evidence either way.

“Published first” means first in this corpus. We hold 740 comparable posts for this entry, running 3 August 2026 to 10 November 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Of the group of 4 channels, the one whose matching posts we hold earliest is @TheFinanceJournal. That channel is not among the channels listed above, so this entry may share no posts with it and this does not say where this entry’s content came from. It is a statement about our reading window, not a claim of authorship.

Recorded under the keys clone_copy · clone_source, last confirmed 11 November 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Channels linked by matching posts

This channel is in a group of 4 registered channels linked by matching posts, directly or through other channels in the group. This channel may share no posts with some of the channels listed below, and listed channels may share none with each other. Links are found by comparing text fingerprints across every channel on the register.

Which channel, if either, published first is deliberately not shown in this list. “First” could only mean first in our own crawl, which depends on how deep we happened to reach into each channel’s history, not on when the content was actually first posted. Our one hand-check read 45 of the highest-confidence flagged pairs against the live Telegram pages. In 18 of them the live page showed a “Forwarded from” credit that our database had no record of, so reading that pair as an unattributed copy was wrong; the check did not measure who published first. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Near-verbatim matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

7,017748,092377,554.5665,9596 August 202611 November 2026
108 measurements spanning 97 days, net -82,133. 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”.
Measurement log — every subscribers count we have recorded, most recent 20 of 108
Measured (UTC)SubscribersChange
11 Nov 2026, 09:00665,959-1,238
9 Nov 2026, 11:51667,197+660,066
8 Nov 2026, 11:017,131-661,520
8 Nov 2026, 00:20668,651-1,168
6 Nov 2026, 21:08669,819-778
5 Nov 2026, 17:45670,597+663,474
5 Nov 2026, 00:317,123-664,074
4 Nov 2026, 19:27671,197-1,057
3 Nov 2026, 17:46672,254-948
2 Nov 2026, 19:07673,202+666,094
1 Nov 2026, 19:307,108-667,363
1 Nov 2026, 16:59674,471-1,402
31 Oct 2026, 15:16675,873-1,090
30 Oct 2026, 18:19676,963-1,045
29 Oct 2026, 15:49678,008+670,912
29 Oct 2026, 10:467,096-670,436
28 Oct 2026, 16:37677,532+719
27 Oct 2026, 16:08676,813+401
26 Oct 2026, 18:49676,412+669,333
26 Oct 2026, 14:297,079first reading

Engagement

839 posts held, back to 3 August 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 190 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
0.677%
avg views ÷ 665,959 subscribers
Avg views / post
4,510
256 posts measured
Reaction rate
25.0%
reactions ÷ views · ER floor
Posts in window
256
of 839 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
WindowRolling 30 days · latest post in window 11 November 2026
Posts held839 (3 August 2026 – 11 November 2026)
Views total1,154,590
Reactions total288,474
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 10:47 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
≈3,940
Videos
≈2,860
Links
≈5,270

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. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
5h 45m
Average length
1m 11s

Measured directly from 294 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.

2 most recently posted, with a view-velocity reading
PostReadingsLatest readingCurve24h reachHalf of last-observed views by
/77496 Aug 2026, 16:03 UTC222 minutes – 62 minutes old921 views86 reactions60 minutes: 921not yet at 24h22 minutesupper bound — already past half at first reading · provisional — final view count still climbing
/77486 Aug 2026, 12:11 UTC52.3 hours – 4.9 hours old2,300 views ~351 reactions3.0 hours: 1,800still climbing at last readingnot yet at 24h2.3 hoursupper bound — already past half at first reading · provisional — final view count still climbing

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

843,551 reactions across 835 posts, in 19 distinct kinds. The most used accounts for 16.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
❤142,25116.9%
👍120,16814.2%
🤡91,79310.9%
🔥58,7726.97%
👀48,6425.77%
😁46,6795.53%
😐43,0235.10%
🤔42,6665.06%
👾36,8694.37%
🤪26,7153.17%
😡26,6933.16%
🥴24,1362.86%
🗿23,7342.81%
🍌21,5492.55%
💊20,1722.39%
🙏19,3882.30%
😨18,9982.25%
😢17,3092.05%
🫡13,9941.66%

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 839 of the 839 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 846,521 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 839 most recent posts we hold, published 3 August 2026 to 11 November 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
51
across the posts below
Posts paid on
20
of 839 we hold a reading for · 2%
Most on one post
13
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @aipost. 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 839 most recent posts we hold for this entry, published 3 August 2026 to 11 November 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.

Recent posts

Telegram’s own ‘edited’ marker: 2 of 256 posts held from the last 30 days (0.781%) 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).

11 Nov 2026, 08:39 UTC≈1,360 views239 reactionsread 11 November 2026
Photo

⚠️ AI may out-research the best human team as soon as next year, the "AI 2027" authors now say All six forecasters behind the AI 2027 scenario now expect a "superhuman AI researcher" sometime in 2027, unless the industry deliberately slows down. That is roughly when a company would rather fire all its human researchers and rely on AI alone than keep the world's best people without it. Daniel Kokotajlo, the most bul…

❤69😢69👍66🤡35

11 Nov 2026, 06:01 UTC≈2,190 views454 reactionsread 11 November 2026
Video

🎢 DeepMind's CEO coded Theme Park at 17. His company's new AI rebuilt it in one go Gemini 4 Carbon took the compiled 1994 game, worked out how it runs, added a DeepMind-themed ride and ported it to the web in one shot, Demis Hassabis says. He calls it "kind of mindblowing to see." Last November he tried something similar with Gemini 3. Back then it took him "a matter of hours" of late-night vibe coding to recreate …

🤔125💊104🤪86❤71👍68

11 Nov 2026, 03:07 UTC≈2,670 views544 reactionsread 11 November 2026
Video

📊 Ask Claude for a hiring budget and it builds the spreadsheet, formulas included Claude Sheets starts rolling out today in beta on paid plans (Pro is $20 a month). One line asking for, say, a campaign tracker is often enough for Claude to build a sheet with tabs, formulas, formatting and drop-down menus. It then edits the cells with you and outlines every change it makes. Whiteboards arrive in beta too. Talk a mes…

👍281❤263

11 Nov 2026, 00:24 UTC≈2,890 views545 reactionsread 11 November 2026
Video

🗣 Bill Gates says it may take an AI catastrophe before the world acts A big cyberattack could be what finally convinces people, he told CBS Evening News in September, during the week of the UN General Assembly: "One thing that's clear is if you have a big cyber attack that caused a lot of problems, then people will say, OK, they were right. The people who are talking about that were right. So it may be that we have…

🍌129👀120❤116🤡100🤪80

10 Nov 2026, 21:50 UTC≈2,990 views515 reactionsread 11 November 2026
Photo

📱 Find a hit app with bad reviews, then have AI fix the complaints: a founder's iPhone app plan Claude Code's official plugin directory now has an Xcode plugin from Apple, so the agent can build, run and test iPhone apps itself. Startup founder Greg Isenberg posted how he'd use it: 1. Sort utility apps by revenue on Appfigures or Sensor Tower and find one rated under 3.5, ideally not updated in six months. 2. Pull …

👍263❤252

10 Nov 2026, 19:07 UTC≈3,360 views624 reactionsread 11 November 2026
Photo

📚 Stanford's course on how ChatGPT-style AI works is free on YouTube, exams included CME 295 starts with how a model reads text and goes all the way to training, reasoning models, agents and how to test them. Last year's run is online in full: 9 lectures, each close to two hours. The first one has nearly a million views. The slides, the midterm and the final with solutions are on the course site, along with a free …

👍243❤219👾162

10 Nov 2026, 16:20 UTC≈3,520 views750 reactionsread 11 November 2026
Photo

💻 Tell Claude "this codebase is yours" and it starts fixing things nobody asked for That line comes from Anthropic's new prompting guide for Claude Fable 5.2. When a prompt says nothing about ownership, or presents the code as someone else's, the model tends to stack new code on top and only report problems it spots nearby. The full sentence Anthropic suggests for the system prompt: This codebase is yours: what it'…

🤔205😁189🤡183❤173

10 Nov 2026, 13:44 UTC≈3,740 views854 reactionsread 11 November 2026
Photo

⚠️ OpenAI built an off switch that can silence its AI experiments within 35 seconds OpenAI's new Control Room can cut the AI off in any of its research experiments within 35 seconds of the decision to stop. A researcher or one of the AI monitors watching the model can make that call. The block sits where the model itself runs, so it holds even if the experiment's own code is broken and keeps going. On frontier rese…

👀186🗿186🔥162❤161👍159

10 Nov 2026, 11:10 UTC≈3,870 views1,059 reactionsread 11 November 2026
Photo

❗️Microsoft wants AI to rewrite reality and make it look like you said it Imagine watching a live interview where someone says something controversial. But instead of hearing their actual words, AI replaces them with something completely different. Their lips move in perfect sync, making it look like they said it all along. That’s the idea behind a new Microsoft patent describing technology that could alter speech …

😐234😢233❤202👾201🤡189

10 Nov 2026, 08:45 UTC≈3,830 views1,039 reactionsread 11 November 2026
Video

😳 WTF. THIS AI PERSONA REACTS WHILE YOU'RE STILL TALKING Meet Emma from Nuance Labs, with a face and voice licensed from a real actress. Its reply timing overlapped a real speaker 89% of the time, versus 35% for the next best. Most AI personas stare blankly while you talk. Emma reacts while you’re still speaking. AI is coming 🐺

😐240🥴229❤200🤪191🫡179

10 Nov 2026, 07:40 UTC≈4,010 views1,082 reactionsread 11 November 2026
Video

🤖 Claude got an empty folder and built an operating system in eight days An Anthropic engineer gave the new Claude Fable 5.2 an empty folder and asked for a prototype operating system. The model coordinated more than 1,000 subagents that wrote, tested and reviewed code around the clock for eight days. The result boots on a laptop. It has its own core, drivers for the disk, keyboard and network, file storage, window…

❤237😡224👀219👾215😁187

10 Nov 2026, 04:48 UTC≈4,130 views1,171 reactionsread 11 November 2026
Photo

💻 Obsidian's CEO and Cloudflare put their AI coding setups on GitHub for free All five are free skill packs that work in Claude Code and Codex. The most popular one comes from a TypeScript teacher. 1. Matt Pocock's skills (319K stars). His everyday kit: tests first, a spec before code, and a code review run by two separate agents. 2. Addy Osmani's agent skills (114K), from an engineer on Anthropic's Claude Code te…

❤327😐316🫡297👀231

Showing the 12 most recent of 839 posts we hold for @aipost. 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.

Posts recorded as deleted after publishing

We recorded 1 post on @aipost 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.

First seen missing
7 September 2026
Most recent seen missing
7 September 2026
Median time before seen missing
16 hours
Seen missing in the last 30 days
0

Mentions

Named by 47 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 22 listed below are the most frequent namers; the rest are counted above but not each listed.

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.

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.

Startups & Ventures
@tech · 1,999,341
#1
Gtm
@GTM_TON · 2
#2
BrainsCoin
@brainscoin · 647,480
#3
HEXN.IO Channel
@hexnio · 1,835,454
#4
Meta Silense TON
@ToNmetasilense · 2,435,476
#5
Money 💰 Crypto & Finance
@money · 2,599,624
#6
Crypto & ChatGPT
@cryptopriority · 505,331
#7
TONlines – News
@tonlines · 390,243
#8
Trending Apps
@trendingapps · 3,546,023
#9
Fintopio News
@fintopionews · 2,027,871
#10
AI Watch 🏴
@headlines · 335,540
#11
Roxman
@roxman · 6,337,805
#12
Catapult Extreme
@catapult_extreme · 7,579,455
#13
Programmer ♨️
@programmer · 177,835
#14
CATS Community
@Cats_housewtf · 7,014,870
#15
Crypto Insider
@coinmarket · 1,888,561
#16
SEED Updates
@seedupdates · 7,246,174
#17
Boom: Crypto News
@boomloudcoin · 1,549,192
#18
ELSE Hub
@else_app · 313,918
#19
CEX.IO's Official Community Channel
@CEXIO_Announcements · 2,300,220
#20
Дайте TON!
@givemetonru · 1,874,053
#21
Криптач 🤡
@kripota4 · 642,588
#22
Architecton AI🦄
@architecton_tech · 1,828,711
#23
TU Crypto News (EN)
@tu_crypto_news_en · 604,650
#24
HashCats Official Channel
@hash_cats · 1,902,582
#25
TON 💎 BIZNES
@biznest0n · 618,251
#26
HAYZON
@hayzonn · 2,548,795
#27
TON AirDrop (RU)💎
@TonAirDrop_ru · 1,036,482
#28
ONEstore Global
@ONEstore_Official · 2,717,087
#29
LIVE — Telegram, AI и технологии
@tlive · 1,569,702
#30
Gram of TON
@gram · 6,218,751
#31
Shadow_of_Gandalf
@whisper_in_the_night · 1,406,536
#32
🐲 RoOLZ Ru Channel
@RoolzRussia · 981,930
#33
Whale.io memes
@whalememes · 874,648
#34
TRUST Community🤝
@trust_empire_en · 768,827
#35
TONka→GRAM.smska🌶
@smska · 402,800
#36
• by alenka •
@alenkaontg · 20,703
#37
Leagues of the World
@league · 937,444
#38
Prank 😂 Funny Videos & GIFs
@prank · 466,698
#39
DOGS Community
@dogs · 6,423,087
#40
Blum: All Crypto – One App
@blumcrypto · 12,771,035
#41
RoOLZ Gods & Mortals 📣
@roolzGods · 1,219,410
#42
одиссея kekius maximus
@doge1 · 586,409
#43
❤️ Poppy xorny 💋
@crypto_way_up · 35
#44
Spintria Community RU
@spintrru · 560,092
#45
Fintopio Новости
@fintopiochannel · 972,009
#46
Volet.com official
@VoletCom · 460,194
#47
Тренды России | Новости
@onerussia · 1,269,957
#48
Слияние с поглощением
@rumerger · 392,418
#49
Hamster Kombat Announcement
@hamster_kombat · 19,576,556
#50
Notcoin Community
@notcoin · 7,833,486
#51
Not Memes
@notmemes · 86,765
#52
CRYPTO ZARYAD⚡️
@CryptoZaryad · 299,663
#53
CRYPTO METEORA ☄️
@Crypto_Meteora · 299,763
#54
DeCenter — блокчейн, биткоин, инвестиции
@DeCenter · 1,640,924
#55
Sports Direct
@sportsdirect_eng · 345,592
#56
Crypto Wolf
@Crypto_Woolf · 1,994,885
#57
Trade Watcher
@stockbot · 1,948,049
#58
TON AirDrop (EN)💎
@TonAirDrop_EN · 507,248
#59
$VODKA | MEMECOIN ON $SOL
@vodkatokensol · 247,184
#60
Мувы Белевского
@belevskmove · 978,429
#61
Первый хомячий 🐹
@hamster_perviy · 88,292
#62
Tap Sport Global
@tap_sport_official · 525,871
#63
Yescoin
@theyescoin · 5,148,896
#64
Time Farm News
@TimeFarmChannel · 4,659,260
#65
Newcastle United
@newcastle · 91,695
#66
Tomarket Announcement
@tomarket_ai · 5,875,745
#67
barboskich.ton
@barboskich_ton · 15,662
#68
CryptoTime
@crypto_time_old · 128,340
#69
Solanapayouts.com
@SolanaPayouts · 174,710
#70
TonCapy
@toncapy_community · 466,732
#71
Spintria Community
@spintr · 566,764
#72
GOLDMANN HYDRA Community
@Ton_HYDRA_Community · 168,669
#73
MoonPlay
@moonplay_official · 423,292
#74
The Signal 24
@the_signal_24 · 5,384,854
#75
PocketFi News
@pocketfi · 1,644,000
#76
Rocky Rabbit Channel
@rockyrabbitio · 3,247,164
#77
1win Token
@token_1win · 2,781,412
#78
Catizen Announcement
@catizenann · 3,305,663
#79
Bitget Wallet Announcements
@Bitget_Wallet_Announcement · 3,537,885
#80
DADA points | Кругосветка
@travel_dada · 336,729
#81
tapswap community
@tapswapai · 9,600,026
#82
GOATS Channel
@realgoats_channel · 4,180,509
#83

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.

🤖 Claude | GPT-6 | Deepseek | Gemini👨🏻‍💻
@gpt_anthropic · 24,561
Telegram ranks this channel #1 of 85 here — alongside 84 others — read 14 September 2026
Startups & Ventures
@tech · 1,999,341
Telegram ranks this channel #2 of 79 here — alongside 78 others — read 8 August 2026
Ai Orbit Insights • Neural Media & AI News
@AiOrbitInsights · 48,641
Telegram ranks this channel #5 of 48 here — alongside 47 others — read 25 September 2026
Ai Motion News • AI & Neural Networks
@AiMotionNews · 27,395
Telegram ranks this channel #5 of 80 here — alongside 79 others — read 8 September 2026
Artificial Intelligence
@Artificial_intelligence_in · 65,715
Telegram ranks this channel #5 of 90 here — alongside 89 others — read 21 August 2026
Programmer ♨️
@programmer · 177,835
Telegram ranks this channel #9 of 78 here — alongside 77 others — read 11 August 2026
Hi, AI • Tech News
@hiaimediaen · 571,181
Telegram ranks this channel #9 of 83 here — alongside 82 others — read 9 August 2026
Robots & Art — AI Images and Pictures
@images024 · 54,792
Telegram ranks this channel #11 of 88 here — alongside 87 others — read 23 August 2026
Venture Capital
@venture · 1,967,695
Telegram ranks this channel #11 of 78 here — alongside 77 others — read 8 August 2026
Tech, Science & Innovation
@Tech_Science_Innovation · 36,739
Telegram ranks this channel #13 of 76 here — alongside 75 others — read 31 August 2026
The Art Vault
@painting · 40,927
Telegram ranks this channel #13 of 85 here — alongside 84 others — read 29 August 2026
Fabrika AI Agents
@fabrika_channel · 2,570,091
Telegram ranks this channel #14 of 84 here — alongside 83 others — read 9 August 2026
DADA points | Кругосветка
@travel_dada · 336,729
Telegram ranks this channel #15 of 87 here — alongside 86 others — read 10 August 2026
Newcastle United
@newcastle · 91,695
Telegram ranks this channel #17 of 80 here — alongside 79 others — read 16 August 2026
Аудиокниги и книги от Patephone
@patephone_audioknigi · 338,931
Telegram ranks this channel #17 of 86 here — alongside 85 others — read 10 August 2026
AI Watch 🏴
@headlines · 335,540
Telegram ranks this channel #18 of 85 here — alongside 84 others — read 10 August 2026
Crypto Insider
@coinmarket · 1,888,561
Telegram ranks this channel #18 of 79 here — alongside 78 others — read 8 August 2026
ChatGPT Tips, Prompts & AI Tools
@GPT_ChatGPT_AI_Tools · 59,315
Telegram ranks this channel #19 of 77 here — alongside 76 others — read 22 August 2026
Artificial Intelligence && Deep Learning
@DeepLearning_ai · 56,955
Telegram ranks this channel #20 of 87 here — alongside 86 others — read 23 August 2026
Generative AI
@generativeai_gpt · 31,030
Telegram ranks this channel #22 of 82 here — alongside 81 others — read 7 September 2026
Interesting Engineering
@ieofficial · 65,335
Telegram ranks this channel #22 of 92 here — alongside 91 others — read 21 August 2026
tAppTales
@tapptales · 98,792
Telegram ranks this channel #22 of 78 here — alongside 77 others — read 15 August 2026
AI Prompts | ChatGPT | Google Gemini | Claude
@aiindi · 60,146
Telegram ranks this channel #23 of 85 here — alongside 84 others — read 23 August 2026
Best AI Tools | ChatGPT | Perplexity | Deepseek | Artificial Intelligence
@AI_Best_Tools · 60,007
Telegram ranks this channel #23 of 82 here — alongside 81 others — read 23 August 2026

This channel appears in 190 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

4 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.

africa.businessinsider.comregistrable domain: businessinsider.com1 post · 6 August 2026 – 6 August 2026 · example post
openai.com1 post · 4 August 2026 – 4 August 2026 · example post
www.theguardian.comregistrable domain: theguardian.com1 post · 5 August 2026 – 5 August 2026 · example post
finance.yahoo.comregistrable domain: yahoo.com1 post · 5 August 2026 – 5 August 2026 · example post

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 11 November 2026 — this entry's latest reading, not the date you are reading this.

“AI Post — Artificial Intelligence” (@aipost), 665,959 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/aipost.

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.