Crypto & trading — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 85% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
33 measurements spanning 40 days, net -1,951. 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 40,681–43,218 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)
Subscribers
Change
16 Sept 2026, 08:01
40,974
-67
14 Sept 2026, 12:39
41,041
-67
12 Sept 2026, 23:41
41,108
-92
10 Sept 2026, 21:20
41,200
-96
7 Sept 2026, 22:39
41,296
-157
4 Sept 2026, 20:18
41,453
-46
3 Sept 2026, 06:19
41,499
-65
1 Sept 2026, 21:52
41,564
-75
31 Aug 2026, 19:54
41,639
-55
30 Aug 2026, 20:58
41,694
-58
29 Aug 2026, 19:45
41,752
-56
28 Aug 2026, 17:34
41,808
-43
27 Aug 2026, 16:28
41,851
-34
26 Aug 2026, 18:34
41,885
-58
25 Aug 2026, 18:23
41,943
-43
24 Aug 2026, 19:47
41,986
-92
23 Aug 2026, 02:27
42,078
-58
21 Aug 2026, 17:58
42,136
-42
20 Aug 2026, 17:44
42,178
-57
19 Aug 2026, 15:11
42,235
first reading
Engagement
68 posts held, back to 24 July 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 78 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
1.74%
avg views ÷ 40,974 subscribers
Avg views / post
712
33 posts measured
Reaction rate
1.51%
reactions ÷ views · ER floor
Posts in window
33
of 68 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. It is computed over the 32 of 33 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 14 September 2026
Posts held
68 (24 July 2026 – 14 September 2026)
Views total
23,507
Reactions total
346
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
14 Sept 2026, 09:36 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
57m 56s
Average length
2m 31s
Measured directly from 23 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.
Reaction mix
680 reactions across 67 posts, in 18 distinct kinds. The most used accounts for 26.6% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
🔥
181
26.6%
❤🔥
116
17.1%
❤
74
10.9%
⚡
61
8.97%
👏
45
6.62%
🏆
39
5.74%
👌
34
5.00%
💯
30
4.41%
🤩
24
3.53%
👍
20
2.94%
🎉
19
2.79%
😍
11
1.62%
😁
6
0.882%
🥰
6
0.882%
🍾
5
0.735%
🌚
4
0.588%
🙏
4
0.588%
🤯
1
0.147%
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 67 of the 68 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 680 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 68 most recent posts we hold, published 24 July 2026 to 14 September 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
One Aptos integration opens the door to 100+ regulated assets 🪙
That's what Archax brings to the network. And Archax isn't a crypto-native experiment. It's the first FCA-regulated digital securities exchange.
The significance isn't another logo joining an ecosystem. It's what follows. One integration can carry regulated funds, equities, and debt instruments without rebuilding the rails for each product.
That's how…
Korea Blockchain Week runs Sept 29 to Oct 1 in Seoul, and the Aptos ecosystem is heading there together.
Decibel running a referral challenge through Sept 18: KBW tickets provided by Tria, plus cash prizes. Details in their post.
We'll see you there 🇰🇷
https://x.com/DecibelTrade/status/2098144262000951418
6 new perp markets are live on Decibel, bringing the total across perps and spot to over 70 🟡
More than 6 months on mainnet: 25.5M+ trades and $6.68B+ in total volume. Fully onchain, 24/7 access, built on Aptos, where every trade burns $APT.
The list keeps growing.
From scaling supercomputers to scaling Facebook to scaling Aptos ⚫️
One thread runs through them: making distributed systems work at massive scale—the backbone of today's AI systems.
Aptos Labs’ Avery Ching joined Kehaya from The Index Podcast 🎙
One major financial institution choosing Aptos is interesting. When it keeps happening, you should probably ask why.
BlackRock, Franklin Templeton, Apollo Global, Brevan Howard Digital. Different businesses. Different products. Different paths onchain. Some assets arrive through different tokenization platforms on Aptos, like Securitize and KAIO.
What they share is a hard requirement. Financial infrastructure can't…
Native USDC now lands on Aptos in seconds instead of minutes.
Circle CCTP V2 is live on Aptos: the same burn-and-mint model, no wrapped assets, no fragmented liquidity.
TheStreet on how it works:
https://www.thestreet.com/crypto/markets/aptos-adds-circles-cctp-v2-for-seconds-fast-usdc-transfers
https://x.com/Aptos/status/2097761967025099099
The first Testnet reset is scheduled for October 7.
Testnet returns to a fresh genesis: deployed contracts, test accounts, balances, and history are cleared and need to be redeployed.
No effect on Mainnet or Devnet.
Aptos testnet has processed over 10 billion transactions, and its storage footprint grows with them. Periodic resets keep it bounded. Full policy in AIP-147: https://github.com/aptos-foundation/AIPs/bl…
Liquidity shouldn't have to stay where it started.
With NEAR Intents, BTC held on other chains now has a new path into Decibel, where spot and perps trade in one fully onchain venue built on Aptos.
Fewer steps between holding and trading.
https://x.com/aptos/status/2097437327522218138
Aptos is the settlement layer.
Eligible BitGo clients can now reach Decibel from the self-custody wallets they already run: spot and perps, onchain, with existing controls intact.
Read the full story from TheStreet: https://www.thestreet.com/crypto/innovation/aptos-powered-decibel-gains-institutional-access-through-bitgo
Onchain markets used to ask institutions to step outside their own stack. Different wallet, different workflow, different approvals.
Eligible BitGo self-custody clients can now reach Decibel from the setup they already run.
No rebuild required.
https://x.com/aptos/status/2095500816950157367
Every transaction on Aptos burns $APT 🪙
Closing out August:
• 152.9K APT burned in the last 30D
• 1.7M total APT burned since mainnet
• $0.0005 avg tx fee since 10x fee increase
• 1.8M APT/year annualized burn rate
And counting.
Agentic payments are a breakthrough. So is agentic trading.
Any agent can plug into Decibel, onboard with USDC, and reach global markets in the time it takes to spin up an integration.
Aptos Labs' Avery Ching with The Index Show's kehaya
https://x.com/Aptos/status/2095210260202156482
❤3❤🔥3🔥2⚡1
Showing the 12 most recent of 68 posts we hold for @aptos_official. 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.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
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.
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.
VERONA Announcements @verona_announcements · 116,735 Telegram ranks this channel #4 of 92 here — alongside 91 others — read 14 August 2026
Gopher Announcements📢 @gopherannouncements · 44,845 Telegram ranks this channel #8 of 92 here — alongside 91 others — read 27 August 2026
ZNS Connect Name Service @znsconnect · 45,214 Telegram ranks this channel #8 of 95 here — alongside 94 others — read 27 August 2026
BNB Chain @bnbchain · 74,853 Telegram ranks this channel #13 of 92 here — alongside 91 others — read 19 August 2026
Glacier News @glacier_news · 72,503 Telegram ranks this channel #15 of 92 here — alongside 91 others — read 19 August 2026
Caldera 🌋 @calderaofficial · 68,860 Telegram ranks this channel #18 of 90 here — alongside 89 others — read 20 August 2026
Aethir Announcements @Aethir_Official · 133,125 Telegram ranks this channel #18 of 92 here — alongside 91 others — read 13 August 2026
Infinite Seas @infiniteseasdev · 49,465 Telegram ranks this channel #22 of 91 here — alongside 90 others — read 25 August 2026
Allora Network Announcements @alloranetworkannouncements · 54,419 Telegram ranks this channel #23 of 93 here — alongside 92 others — read 23 August 2026
Self Chain @selfchainxyz · 107,509 Telegram ranks this channel #24 of 91 here — alongside 90 others — read 14 August 2026
Mantle Announcements @mantlenews · 75,416 Telegram ranks this channel #26 of 81 here — alongside 80 others — read 25 August 2026
TokenPocket @tokenpocket_channel · 101,930 Telegram ranks this channel #29 of 90 here — alongside 89 others — read 15 August 2026
StableJack Announcement @stablejack · 42,696 Telegram ranks this channel #39 of 87 here — alongside 86 others — read 28 August 2026
The Data Foundation @datafdn · 57,708 Telegram ranks this channel #55 of 90 here — alongside 89 others — read 22 August 2026
Galxe @galxe · 165,826 Telegram ranks this channel #58 of 95 here — alongside 94 others — read 14 August 2026
Rivalz Network Announcement @RivalzAI_Ann · 48,999 Telegram ranks this channel #70 of 89 here — alongside 88 others — read 25 August 2026
This channel appears in 16 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 16 September 2026 — this
entry's latest reading, not the date you are reading this.
“Aptos Announcements” (@aptos_official), 40,974 subscribers as measured 16 September 2026. Telegram Register, tgregister.com/channel/aptos_official.
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.