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 10 September 2026 and assigned it the closest of 31 fixed categories, at 95% 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
31 measurements spanning 35 days, net -699. 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 26,226–27,199 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 31
Measured (UTC)
Subscribers
Change
10 Sept 2026, 05:18
26,385
-13
6 Sept 2026, 20:18
26,398
+21
4 Sept 2026, 04:15
26,377
+17
2 Sept 2026, 16:44
26,360
-3
1 Sept 2026, 17:58
26,363
-31
31 Aug 2026, 19:25
26,394
+7
30 Aug 2026, 16:27
26,387
-53
29 Aug 2026, 19:26
26,440
-40
28 Aug 2026, 21:34
26,480
+18
27 Aug 2026, 19:33
26,462
+18
26 Aug 2026, 21:19
26,444
+14
25 Aug 2026, 22:44
26,430
-20
24 Aug 2026, 19:35
26,450
+46
23 Aug 2026, 03:37
26,404
+35
21 Aug 2026, 13:06
26,369
+31
20 Aug 2026, 14:16
26,338
-15
19 Aug 2026, 15:11
26,353
-26
18 Aug 2026, 16:33
26,379
-37
17 Aug 2026, 15:04
26,416
-28
16 Aug 2026, 07:17
26,444
first reading
Engagement
27 posts held, back to 12 June 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 58 pages of Telegram’s post history, 20 posts per page.
ERR · 30 days
32.5%
avg views ÷ 26,385 subscribers
Avg views / post
8,580
7 posts measured
Reaction rate
1.20%
reactions ÷ views · ER floor
Posts in window
7
of 27 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 31 August 2026
Posts held
27 (12 June 2026 – 31 August 2026)
Views total
60,040
Reactions total
723
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
3 Sept 2026, 10:06 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
42s
Average length
14s
Measured directly from 3 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
3,108 reactions across 27 posts, in 34 distinct kinds. The most used accounts for 51.4% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
1,598
51.4%
🔥
589
19.0%
👍
493
15.9%
🤣
86
2.77%
👏
65
2.09%
⚡
56
1.80%
❤🔥
27
0.869%
🫡
27
0.869%
🤡
24
0.772%
🙏
21
0.676%
🆒
16
0.515%
✍
13
0.418%
☃
12
0.386%
😁
12
0.386%
🕊
11
0.354%
🤬
10
0.322%
🐳
5
0.161%
👀
5
0.161%
🌚
4
0.129%
👨💻
4
0.129%
14 further kinds
30
0.965%
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 27 of the 27 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 3,108 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 27 most recent posts we hold, published 12 June 2026 to 31 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.
Weekly Update
Product & Tech
+ HIP-4 permissionless deployments were enabled on mainnet
Trading
+ PONS perps were listed; VINE perps were delisted
+ HyENA's HIP-3 dex is sunsetting. See information on market wind-down here: https://docs.hyena.trade/
New Teams on HyperEVM & HyperCore
+ Pumpfun added support for HyperEVM: https://x.com/Pumpfun/status/2092613331299291421
Community Highlights
+ Bloomberg wrote about …
By community request, $PONS perps have been listed with up to 3x leverage.
Listing is not an endorsement of the project. Past performance does not guarantee future results. Do not trade assets you are unfamiliar with and do not understand the risks for. Exercise control. NFA.
https://app.hyperliquid.xyz/trade/PONS
The Hyperliquid community event will take place on the evening of October 5, 2026 in Singapore: https://luma.com/HL2026Community
This is a chance to spend time with the builders and users who've shaped the ecosystem over the past years. If you're with a project or institution, please share your team and role as well as social media handles when you register. The event will be extremely oversubscribed, so this will m…
Weekly Update
Product & Tech
+ HIP-1 spot annotations and deployer labels are now supported. For details, see the API announcements channel
+ HIP-4 templates on testnet are pending builder feedback; see the API announcements channel
+ See Docs re: infra providers' peering services that builders can connect to: https://hyperliquid.gitbook.io/hyperliquid-docs/for-developers/nodes/foundation-non-validating-node-for-inf…
Product & Tech
+ Based on feedback, the HIP-1 spec will be extended. Existing deployers and teams interested in HIP-1 deployment are encouraged to share further feedback. For details, see the API announcements channel
+ Based on feedback, additional features for HIP-4 have been implemented. For details, see the message above
+ Hyper Foundation's non-validating node is open to high-quality infrastructure providers as …
Additional features for HIP-4 have been implemented:
1. Deployer actions now support registerAndAssociateNamedOutcomeFromTemplate which allows deployers to add additional named outcomes to a question after creation. The initial balances of the new named outcome match the outstanding fallback balances. See hyperliquid.gitbook.io/hyperliquid-docs/for-developers/api/hip-4-deployer-actions for details.
2. Template instan…
Weekly Update
Product & Tech
+ HIP-3 now supports a continuous spectrum of deployer fee scales from 0.1 to 3, and the fee scale is configurable per-asset. For details, see the API announcements channel
Trading
+ HIP-3 markets reached a new ATH of $4.1B in open interest
New Teams on the HyperEVM & HyperCore (in no particular order)
+ xStocks deployed tokenized spot assets on HyperCore: https://x.com/xStocksFi/statu…
Weekly Update
Product & Tech
+ TWAP orders now support
a) Longer running time: extended to 7 days
b) Dynamic suborder intervals: suborder intervals are calculated from the total size and running time set, with 30 seconds as the minimum
c) Lower minimum order size at $100 notional per TWAP order, with minimum notional per suborder still at $10
+ The initial implementation of HIP-4 permissionless deployments is live o…
Weekly Update
Product & Tech
+ TWAP orders now support trigger price and max/min price
Trading
+ HIP-3 markets reached a new ATH of $3.9B in open interest
New Teams on the HyperEVM & HyperCore (in no particular order)
+ Dune added support for HyperCore: https://x.com/Dune/status/2079916078961131615
+ Oku integrated Hyperliquid perps via builder codes: https://x.com/okutrade/status/2079919154149171308
+ Talis, an A…
Weekly Update
Product & Tech
+ Initial spec for permissionless deployment of outcome markets (HIP-4) was shared above
+ Chase limit orders were added to app.hyperliquid.xyz
New Teams on the HyperEVM & HyperCore
+ Arkham added support for HyperCore: https://x.com/i/status/2078133490747392454
Community Highlights
+ HL Global organized an institutional summit on July 16 in New York: https://x.com/HLglobal_/status/207…
HIP-4 (outcome markets) will support permissionless deployment in a future network upgrade, first on testnet and then on mainnet. As with spot and perp deployments, the technology for outcome markets required sufficient battle testing in a validator-deployed setting before scaling to permissionless deployment.
Permissionless deployments are especially important for the growth of outcome markets. The possible univers…
Weekly Update
Product & Tech
+ See the API announcements channel re: updates to priority fees
Trading
+ HIP-3 markets reached a new ATH of $3.6B in open interest
+ CASHCAT perps were listed
+ ANSEM spot trading, deposits, and withdrawals went live via Unit Protocol
New Teams on the HyperEVM & HyperCore (in no particular order)
+ HyperLink prime broker went live, powered by Hyperliquid: https://x.com/hyperlink_xyz/…
👍49🔥20❤9👏5✍4🦄2👎1
Showing the 12 most recent of 27 posts we hold for @hyperliquid_announcements. 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
Named by 21 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.
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 10 September 2026 — this
entry's latest reading, not the date you are reading this.
“Hyperliquid Announcements” (@hyperliquid_announcements), 26,385 subscribers as measured 10 September 2026. Telegram Register, tgregister.com/channel/hyperliquid_announcements.
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.