Other / unclassifiable — 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 53% 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 3 other registered channels. This entry also sits inside a group of 13 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)
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
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 13 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 3,219 comparable posts for this entry, running 14 June 2020 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).
Of the group of 13 channels, the one whose matching posts we hold earliest is @coinmarket. That is a statement about our reading window, not a claim of authorship.
Recorded under the key 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.
Channels linked by matching posts
This channel is in a group of 13 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.
446 measurements spanning 97 days, net -499,831. 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 1,894,741–2,544,522 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 446
Measured (UTC)
Subscribers
Change
11 Nov 2026, 02:30
1,969,716
-934
10 Nov 2026, 19:31
1,970,650
-1,069
10 Nov 2026, 16:09
1,971,719
-1,038
10 Nov 2026, 02:29
1,972,757
no change
10 Nov 2026, 01:59
1,972,757
no change
10 Nov 2026, 00:47
1,972,757
-209
9 Nov 2026, 19:58
1,972,966
-2,809
9 Nov 2026, 07:58
1,975,775
no change
9 Nov 2026, 07:46
1,975,775
-1,157
9 Nov 2026, 03:58
1,976,932
-2,996
8 Nov 2026, 17:10
1,979,928
-25
8 Nov 2026, 16:55
1,979,953
-394
8 Nov 2026, 15:06
1,980,347
-176
8 Nov 2026, 14:09
1,980,523
-2,743
7 Nov 2026, 23:20
1,983,266
-1,613
7 Nov 2026, 19:52
1,984,879
no change
7 Nov 2026, 19:40
1,984,879
-2,306
7 Nov 2026, 11:47
1,987,185
-481
7 Nov 2026, 09:45
1,987,666
-623
7 Nov 2026, 07:26
1,988,289
first reading
Engagement
3,624 posts held, back to 18 October 2019 — the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 4,370 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
0.139%
avg views ÷ 1,969,716 subscribers
Avg views / post
2,750
56 posts measured
Reaction rate
41.2%
reactions ÷ views · ER floor
Posts in window
56
of 3,624 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 10 November 2026
Posts held
3,624 (18 October 2019 – 10 November 2026)
Views total
153,752
Reactions total
63,353
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
11 Nov 2026, 04:30 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
18m 01s
Average length
35s
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 57 of this channel’s own posts over the last 30 days: across 56 of this channel’s own posts with a clear reading, a typical one reaches half of its last-observed view count within 20 hours of being posted; a typical post has already reached 23.7% of its 24-hour view count within the first hour, and 53.1% within the first six; the median 24-hour reach across those posts is 1,390 views — 0.071% of this channel’s own subscriber count (90th percentile 1,605).
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
247,875 reactions across 243 posts, in 14 distinct kinds. The most used accounts for 24.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
61,534
24.8%
👍
29,473
11.9%
🔥
24,622
9.93%
😁
16,226
6.55%
👎
14,367
5.80%
🙏
14,153
5.71%
💯
14,009
5.65%
🤝
12,318
4.97%
😢
11,913
4.81%
😱
11,880
4.79%
🤯
11,401
4.60%
🤔
10,468
4.22%
💔
8,953
3.61%
🐳
6,558
2.65%
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 996 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 462,128 reactions 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 23 October 2025 to 10 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
15
across the posts below
Posts paid on
13
of 996 we hold a reading for · 1%
Most on one post
2
single highest reading
A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @venture. 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 23 October 2025 to 10 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: 0 of 56 posts held from the last 30 days (0%) 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).
📈 The S&P 500 Is Mostly a Tech Bet
The market has reached 28 record highs this year, but 9 of the 11 S&P 500 sectors are lagging. Technology represents nearly 40% of the index and delivered roughly 12 of the S&P 500’s 13.6-point return, according to Silvia Insights.
Energy is also outperforming, but its roughly 3% index weight means the effect is limited. Excluding technology and energy, the median sector is up bar…
📉 Stocks and the Economy Are Diverging
The US stock market is under heavy pressure, but the economic outlook remains more resilient. Goldman Sachs forecasts 2.4% real GDP growth in 2027, slightly above the 2.3% expected this year. Markets are pricing only a 20% probability of a US recession next year.
With real growth near 2% to 2.5% and one-year inflation expectations at 2.1%, nominal GDP growth could remain below…
🖥 Nvidia Board Opens Investigation
Nvidia announced an independent board investigation into reports that CEO Jensen Huang was targeted by a foreign intelligence effort.
The board said it has no reason to believe national security or Nvidia secrets were compromised and reaffirmed confidence in Huang as he cooperates with the investigation.
✔️ @venture
💻 $INTC: Same Price, Different Business
🖱️ 8 years ago: $55/share, primarily an x86 CPU & PC business, with no external foundry business, outside backing, or meaningful AI growth engine.
🖱️ Today: $55/share, a centerpiece of America's push for domestic advanced chipmaking, backed by the U.S. government and $NVDA, with Data Center & AI revenue posting its strongest growth in 15 years.
Same price. Very different bus…
🛢 Trump on Iran War Costs
“I think it's largely true because it drove the gasoline up a little bit short-term. I thought the oil would go up a lot more, and I did it on that basis. If I were on the ballot, we would have won.”
Donald Trump
He said Vance was largely right that the Iran war cost Republicans the midterms, but he would do it again. He spoke at the White House the day after Democrats flipped the House a…
⚠️ 5% 10-Year Rate Warning
“Once the 10-year nominal rates approach 5%, there's a very clear negative correlation between equities and the treasury yields”
Venu Krishna, Barclays.
“In fact, when we approached 4.5% on the 10, we had highlighted a red flag.” With rates stuck in this range, multiples stop helping and earnings must do the heavy lifting for SPY, QQQ, and the AI complex. The rally still has a rates ceil…
📈 Midterms Meet a Costly Market
The S&P 500 has finished higher 12 months after every midterm election since 1950, 19 for 19, with an average gain of about 15%.
JPMorgan’s election map:
🖱️ Democratic sweep, 66% odds, -0.25% to +0.5%.
🖱️ Democratic House, GOP Senate, 26% odds, +0.5% to +1%.
🖱️ Republican sweep, 7% odds, +1% to +1.25%.
A blue wave could pressure AI stocks through data center regulation fears. A r…
💰 Ueno Bank Faces Emergency Control
Ueno Bank, a major Paraguayan bank, has failed, leaving nearly 60% of adults unable to access their accounts.
The bank has around 3 million customers and $2.8 billion in deposits, including hundreds of millions in public funds.
The central bank has taken emergency control, freezing withdrawals, transfers, and card payments.
✔️ @venture
🏘 Housing Market Turns Spookier
America has more home sellers than buyers, the biggest gap in over 10 years.
🖱️ Prices fell for the first time in 3 years.
🖱️ Only 276,000 home deals are in progress, a record low.
🖱️ Every major city has seen fewer sales for 3 straight weeks.
🖱️ The average house payment reached the second-highest level ever.
Michael Burry's advice: "Buy half the house you can afford"
✔️ @ventu
📉 Five Days of Market Risk
U.S. midterms, jobs data, central-bank decisions and major AI earnings land within 5 days, as tech stocks are already falling.
🖱️ Mon, Nov 2: ISM Manufacturing PMI, Apple and Palantir.
🖱️ Tue, Nov 3: elections, Australia’s rate decision, JOLTS, AMD and Shopify.
🖱️ Wed, Nov 4: ADP, ISM Services, eurozone inflation, Qualcomm and Arm.
🖱️ Thu, Nov 5: Bank of England decision, U.S. claims, …
👤 Black October’s cyber toll
October 2026 brought more than 100 million exposed records, hospital and government outages, critical software flaws, and major crypto thefts. Researchers called it “Black October”.
Most attacks used trusted access, including vendor accounts, cloud logins, certificates, and legacy systems. Breaches hit SourceNext, Burger King Japan, and Capcom.
An IDCF Cloud ransomware attack disrupted…
😢472❤269🤯264🔥231👍33
Showing the 12 most recent of 3,624 posts we hold for @venture. 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 edited after publishing
@venture edited 2 posts 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
1 September 2026
Most recent edit
28 September 2026
Posts recorded as deleted after publishing
We recorded 8 posts on @venture 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
12 August 2026
Most recent seen missing
7 November 2026
Median time before seen missing
34 hours
Seen missing in the last 30 days
1
Mentions
Named by 24 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
10
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
10
vacant every time we have ever looked
@venture named 10 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.
@relevant_theory named in 8 posts, 8 August 2026 – 8 August 2026
@price_eng2 named in 2 posts, 8 August 2026 – 8 August 2026
@price_eng named in 2 posts, 8 August 2026 – 8 August 2026
@santacoininu named in 1 post, 8 August 2026 – 8 August 2026
@santacoinmoon named in 1 post, 8 August 2026 – 8 August 2026
@steer_crypto named in 1 post, 8 August 2026 – 8 August 2026
@ether named in 1 post, 8 August 2026 – 8 August 2026
@waktrx named in 1 post, 8 August 2026 – 8 August 2026
@michaelprotrade named in 1 post, 8 August 2026 – 8 August 2026
@number_997 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.
Crypto Insider @coinmarket · 1,888,561 Telegram ranks this channel #2 of 79 here — alongside 78 others — read 8 August 2026
Startups & Ventures @tech · 1,999,341 Telegram ranks this channel #4 of 79 here — alongside 78 others — read 8 August 2026
Trade Watcher @stockbot · 1,949,931 Telegram ranks this channel #12 of 79 here — alongside 78 others — read 8 August 2026
Not Memes @notmemes · 86,765 Telegram ranks this channel #13 of 81 here — alongside 80 others — read 18 August 2026
Programmer ♨️ @programmer · 177,917 Telegram ranks this channel #16 of 78 here — alongside 77 others — read 11 August 2026
Solanapayouts.com @SolanaPayouts · 174,710 Telegram ranks this channel #19 of 79 here — alongside 78 others — read 11 August 2026
OOIA - TON NFT Marketplace @ooiaton · 236,118 Telegram ranks this channel #22 of 78 here — alongside 77 others — read 10 August 2026
TONX 💎 @TONXstudio · 99,769 Telegram ranks this channel #32 of 81 here — alongside 80 others — read 15 August 2026
Everscale News @everscale_news · 264,902 Telegram ranks this channel #33 of 79 here — alongside 78 others — read 10 August 2026
tAppTales @tapptales · 98,792 Telegram ranks this channel #35 of 78 here — alongside 77 others — read 15 August 2026
Newcastle United @newcastle · 91,695 Telegram ranks this channel #36 of 80 here — alongside 79 others — read 16 August 2026
Elon Musk @elon_musk · 96,693 Telegram ranks this channel #37 of 73 here — alongside 72 others — read 8 September 2026
CoLabs: coNFT, CoPump, CoPass @co_nft · 141,254 Telegram ranks this channel #37 of 81 here — alongside 80 others — read 12 August 2026
The Daily Stats @dailystats · 29,866 Telegram ranks this channel #38 of 82 here — alongside 81 others — read 6 September 2026
$VODKA | MEMECOIN ON $SOL @vodkatokensol · 247,646 Telegram ranks this channel #41 of 80 here — alongside 79 others — read 10 August 2026
TON News @newston_en · 133,774 Telegram ranks this channel #44 of 78 here — alongside 77 others — read 13 August 2026
nest @nest_dex · 110,565 Telegram ranks this channel #46 of 79 here — alongside 78 others — read 14 August 2026
Not Meme @notmeme · 161,825 Telegram ranks this channel #46 of 78 here — alongside 77 others — read 12 August 2026
КАПИТАЛИСТ @codycapitalist · 29,255 Telegram ranks this channel #50 of 67 here — alongside 66 others — read 7 September 2026
Tonex @Tonex_app · 82,132 Telegram ranks this channel #50 of 78 here — alongside 77 others — read 17 August 2026
WEB3 TON DNS Media @web3tondns · 148,759 Telegram ranks this channel #55 of 78 here — alongside 77 others — read 12 August 2026
Apple News @iphone · 135,037 Telegram ranks this channel #62 of 79 here — alongside 78 others — read 29 August 2026
KKX NEWS @kkxnews · 138,389 Telegram ranks this channel #65 of 78 here — alongside 77 others — read 12 August 2026
The Financial Express @TheFinancialExpressOnline · 44,766 Telegram ranks this channel #68 of 87 here — alongside 86 others — read 27 August 2026
This channel appears in 29 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
94 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 11 November 2026 — this
entry's latest reading, not the date you are reading this.
“Venture Capital” (@venture), 1,969,716 subscribers as measured 11 November 2026. Telegram Register, tgregister.com/channel/venture.
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.