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 58% 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.
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 word for word on 2 other registered channels. They sit inside a group of 13 channels that share the same post bodies 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)
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. None of the 7 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.
“Published first” means first in this corpus. We hold 2,812 comparable posts for this entry, running 22 April 2019 to 7 August 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).
Across the whole group of 13, the earliest publisher we hold is @coinmarket. That is a statement about our reading window, not a claim of authorship.
Recorded under the keys clone_copy · clone_source, last confirmed 7 August 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.
Also posting the same content
This channel’s posts match, word for word or near enough, posts on 12 other registered channels, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.
Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word 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.
33 measurements spanning 17 days, net -82,369. 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 2,400,474–2,507,553 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
22 Aug 2026, 15:54
2,412,829
-5,702
21 Aug 2026, 17:47
2,418,531
-1,658
21 Aug 2026, 08:57
2,420,189
-3,676
20 Aug 2026, 15:52
2,423,865
-624
20 Aug 2026, 10:43
2,424,489
-2,278
19 Aug 2026, 15:46
2,426,767
-271
19 Aug 2026, 13:43
2,427,038
-4,981
18 Aug 2026, 16:07
2,432,019
-528
18 Aug 2026, 13:44
2,432,547
-4,878
17 Aug 2026, 15:55
2,437,425
-876
17 Aug 2026, 13:04
2,438,301
-6,724
16 Aug 2026, 06:37
2,445,025
-991
16 Aug 2026, 02:25
2,446,016
-5,974
14 Aug 2026, 20:16
2,451,990
-1,114
14 Aug 2026, 14:13
2,453,104
-5,538
13 Aug 2026, 07:58
2,458,642
-193
13 Aug 2026, 03:15
2,458,835
-3,899
12 Aug 2026, 04:27
2,462,734
-924
12 Aug 2026, 02:48
2,463,658
-5,535
11 Aug 2026, 01:28
2,469,193
first reading
Engagement
3,047 posts held, back to 22 April 2019 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 4,191 pagesof Telegram’s post history, 20 posts per page.
ERR · 30 days
0.226%
avg views ÷ 2,412,829 subscribers
Avg views / post
5,440
86 posts measured
Reaction rate
17.3%
reactions ÷ views · ER floor
Posts in window
86
of 3,047 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 22 August 2026
Posts held
3,047 (22 April 2019 – 22 August 2026)
Views total
468,210
Reactions total
80,803
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
22 Aug 2026, 21:06 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
Video runtime
22m 42s
Average length
49s
Measured directly from 28 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 47 of this channel’s own posts over the last 30 days (1 of the 24-hour readings behind this are interpolated, not measured directly): across 44of this channel’s own posts with a clear reading, a typical one reaches half of its last-observed view count within 15 hours of being posted; a typical post has already reached 23.4% of its 24-hour view count within the first hour, and 61.2% within the first six; the median 24-hour reach across those posts is 3,130 views — 0.13% of this channel’s own subscriber count (90th percentile 3,317).
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 viewsis 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
56,932 reactions across 61 posts, in 19 distinct kinds. The most used accounts for 17.0% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
9,675
17.0%
👍
5,265
9.25%
🔥
3,734
6.56%
👏
3,408
5.99%
😁
3,397
5.97%
😱
3,358
5.90%
🤔
3,160
5.55%
👎
3,074
5.40%
👌
2,512
4.41%
💯
2,317
4.07%
🙏
2,270
3.99%
🤯
2,252
3.96%
🦄
2,208
3.88%
🎉
2,123
3.73%
🐳
1,885
3.31%
🤩
1,734
3.05%
😢
1,557
2.73%
🤝
1,538
2.70%
💔
1,465
2.57%
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 994 of the 1,000 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 321,304reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 1,000 most recent posts we hold (the sample is capped at 1,000), published 4 September 2025 to 22 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.
Telegram Stars
Stars received
5
across the posts below
Posts paid on
4
of 994 we hold a reading for · 0.4%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @tech. 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 1,000 most recent posts we hold for this entry (the sample is capped at 1,000), published 4 September 2025 to 22 August 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.
🌐 Chinese AI Models Close the Gap
A Bloomberg chart compares Chinese models in orange with US models in blue, using a weighted average across 9 benchmarks. Frontier models are connected by a line.
Over the past couple of years, the capability gap has narrowed sharply. Claims that Chinese models lag by 6-9 months look outdated, especially since GLM-5.3 is not included. Prices are not even part of the chart.
📊@tech
🤖 RealBOTs Take On Real Work
Chinese company RealMan Robotics plans to place almost 1,000 RealBOT units in workplaces in 2026. At WRC 2026 in Beijing, demos showed robots sorting medicines, inspecting a distribution switchboard, baking with human cooks, and handling remote equipment commissioning at the Changzhou factory.
The Global Link Network lets a human operator control the robot remotely, with claimed millise…
🤖 ChatGPT Can Now Send iMessages
The new Messages plugin can find conversations, catch up on missed chats, draft replies, and send them through ChatGPT.
It can check the calendar, suggest free dinner slots, find birthdays in messages, add them to the calendar, and flag chats that look like spam.
The plugin is available in ChatGPT Work and Codex on desktop. Install it through Plugins, then Public.
📊@tech
🤖 One Generation From Always-On ChatGPT
Sam Altman says OpenAI is about one model generation away from ChatGPT running in the background throughout your digital life. It would watch the screen, attend meetings, and record calls.
You could connect it to email, documents, Slack, and messages. The system would build a full picture of your work and suggest solutions in real time, while leaving the final choice to you.
…
☠️ Voyah EV Completes a Tunnel Loop
In a test tunnel in Wuhan, the Passion S entered a turn at 130 km/h, holding about 16° of steering angle. The resulting centripetal force pushed the electric crossover onto the wall, over the ceiling, then back down.
The electric crossover used its speed and the tunnel’s radius to stay pressed against the concrete.
The margin was tiny. A speed drop would reduce the normal force …
📹 Flock’s Cameras Feed an Investigative AI
Flock’s cameras cover 6,000 US communities. Its internal tool, first called Nightshift and now OS Investigate, pulls data from the network to log drivers’ movements.
Wired reports that police can search a mapped area using only a person’s physical description, time, location, and behavior. Results can be linked to police files, 911 call logs, and commercial databases, prod…
❤️Hyundai Shows Cyberpunk-Style Tucson
The new model is larger than its predecessor. The cabin gets a large media screen and a slim instrument panel. Several physical buttons remain.
Prices and other specifications are still undisclosed. The Tucson may come only as a hybrid, according to rumors. Sales in Korea start by the end of the year, with the rest of the world following in 2027.
📊@tech
🔎LandSpace Lands Zhuque-3 Booster
On its second flight, Zhuque-3 sent Hongqing Technology’s Honghu 03 satellite to orbit, then returned its first stage to landing legs on land. The first attempt ended in “anomalous combustion” near the pad.
It was China’s first recovery of an orbital rocket booster to landing legs, and the first landing by a private Chinese company. The 66-metre rocket runs on oxygen and methane, w…
🤖 OpenAI Cuts GPT-5.6 Agent Costs
GPT-5.6 Luna scored 84.04% on BrowseComp, nearly matching GPT-5.5 at 84.36%. Its run cost $1.33 instead of $33.27, making the gap hard to ignore.
For agent work, OpenAI recommends Luna and Terra for data extraction and document search. GPT-5.6 Sol on low reasoning also beat GPT-5.5 on high reasoning in one agent test.
The bigger gain comes from the agent setup. GPT-5.6 can preserv…
🤖 OpenAI separates teens in ChatGPT
Users aged 13-17 will get a separate version with stricter filters for harmful topics.
The bot cannot simulate emotions or provide ready-made homework answers.
Age will be estimated from more than 2,000 behavioral signals, including login time, so documents are not needed. The change follows lawsuits after children received harmful content.
📊@tech
🤖 Claude Code Adds /design Skill
The /design skill is in research preview and brings artboards from Claude Design into the CLI and Desktop.
Describe an interface to get several editable layouts, choose one, refine it manually, then ask Claude to turn the design into a working interface.
📊@tech
⚡️Asus Adds Electric Power to Any Bike
The Oxiis E250G1 Intelligent Bike Booster attaches a motor and removable battery to the seatpost. Rollers drive the rear wheel, so the chain and hub stay untouched.
It delivers 250 W nominal power, up to 500 W peak, with a 158.4 Wh battery. Range reaches 50 km in Eco or about 10 km in Sport. Full charging takes about 2 hours via 100 W USB-C Power Delivery.
The 3.7 kg unit fit…
😢319❤309🔥175👎150👍3
Showing the 12 most recent of 3,047 posts we hold for @tech. 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
@tech 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
9 August 2026
Most recent edit
9 August 2026
Citation-graph rank
Citation-graph rank — 60,857 of 1,583,249entries 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 14 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.
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.
Handles this channel named that no longer answer
Dead references
8
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
8
vacant every time we have ever looked
@tech named 8 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@pitchcamp named in 2 posts, 8 August 2026 – 8 August 2026
@collaboroovin named in 2 posts, 8 August 2026 – 8 August 2026
@globalpassinfo named in 1 post, 8 August 2026 – 8 August 2026
@heorhi_talochka named in 1 post, 8 August 2026 – 8 August 2026
@iamajeet2 named in 1 post, 8 August 2026 – 8 August 2026
@meta_orange named in 1 post, 8 August 2026 – 8 August 2026
@tedefibot named in 1 post, 8 August 2026 – 8 August 2026
@ether named in 1 post, 8 August 2026 – 8 August 2026
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.
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.
Programmer ♨️ @programmer · 189,453 Telegram ranks this channel #1 of 78 here — alongside 77 others — read 11 August 2026
AI Post — Artificial Intelligence @aipost · 731,966 Telegram ranks this channel #1 of 83 here — alongside 82 others — read 8 August 2026
Venture Capital @venture · 2,387,749 Telegram ranks this channel #1 of 78 here — alongside 77 others — read 8 August 2026
Crypto Insider @coinmarket · 2,280,416 Telegram ranks this channel #1 of 79 here — alongside 78 others — read 8 August 2026
Trade Watcher @stockbot · 2,358,333 Telegram ranks this channel #2 of 79 here — alongside 78 others — read 8 August 2026
Not Memes @notmemes · 85,900 Telegram ranks this channel #4 of 81 here — alongside 80 others — read 18 August 2026
Solanapayouts.com @SolanaPayouts · 189,730 Telegram ranks this channel #5 of 79 here — alongside 78 others — read 11 August 2026
Everscale News @everscale_news · 287,494 Telegram ranks this channel #5 of 79 here — alongside 78 others — read 10 August 2026
KKX NEWS @kkxnews · 149,160 Telegram ranks this channel #8 of 78 here — alongside 77 others — read 12 August 2026
Newcastle United @newcastle · 97,592 Telegram ranks this channel #10 of 80 here — alongside 79 others — read 16 August 2026
$VODKA | MEMECOIN ON $SOL @vodkatokensol · 269,925 Telegram ranks this channel #14 of 80 here — alongside 79 others — read 10 August 2026
OOIA - TON NFT Marketplace @ooiaton · 275,657 Telegram ranks this channel #14 of 78 here — alongside 77 others — read 10 August 2026
TONX 💎 @TONXstudio · 107,062 Telegram ranks this channel #15 of 81 here — alongside 80 others — read 15 August 2026
tAppTales @tapptales · 106,128 Telegram ranks this channel #20 of 78 here — alongside 77 others — read 15 August 2026
Not Meme @notmeme · 160,812 Telegram ranks this channel #24 of 78 here — alongside 77 others — read 12 August 2026
ChatGPT Tips, Prompts & AI Tools @GPT_ChatGPT_AI_Tools · 61,236 Telegram ranks this channel #25 of 77 here — alongside 76 others — read 22 August 2026
CoLabs: coNFT, CoPump, CoPass @co_nft · 152,408 Telegram ranks this channel #28 of 81 here — alongside 80 others — read 12 August 2026
TON News @newston_en · 144,761 Telegram ranks this channel #29 of 78 here — alongside 77 others — read 13 August 2026
Computer Science and Programming @computer_science_and_programming · 140,868 Telegram ranks this channel #30 of 87 here — alongside 86 others — read 13 August 2026
Artificial Intelligence @Artificial_intelligence_in · 65,539 Telegram ranks this channel #32 of 90 here — alongside 89 others — read 21 August 2026
nest @nest_dex · 119,756 Telegram ranks this channel #37 of 79 here — alongside 78 others — read 14 August 2026
AI Tools @Best_AI_tools · 171,541 Telegram ranks this channel #40 of 66 here — alongside 65 others — read 13 August 2026
Tonex @Tonex_app · 87,485 Telegram ranks this channel #45 of 78 here — alongside 77 others — read 17 August 2026
WEB3 TON DNS Media @web3tondns · 156,828 Telegram ranks this channel #48 of 78 here — alongside 77 others — read 12 August 2026
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.
Domains linked from posts
191 domainsthis 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 22 August 2026 — this
entry's latest reading, not the date you are reading this.
“Startups & Ventures” (@tech), 2,412,829 subscribers as measured 22 August 2026. Telegram Register, tgregister.com/channel/tech.
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.