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Channel

Amadeus News - ama.one

@amadotone

On this record: Growth · Engagement · Reactions · Posts · Citations · Cite this entry

6,026subscribers

-33 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1003059468709
TypeChannel
Username@amadotone
CreatedBetween 1 August 2025 and 31 October 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live13 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/amadotone

Growth

6,0266,0596,042.57 August 2026 — 6,059 subscribers7 August 2026 — 6,054 subscribers10 August 2026 — 6,043 subscribers13 August 2026 — 6,026 subscribers7 August 202613 August 2026
4 measurements spanning 6 days, net -33. 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 6,021–6,064 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 16:366,026-17
10 Aug 2026, 08:306,043-11
7 Aug 2026, 14:006,054-5
7 Aug 2026, 05:316,059first reading

Engagement

23 posts held, back to 9 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 9 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
3.50%
avg views ÷ 6,026 subscribers
Avg views / post
211
19 posts measured
Reaction rate
18.8%
reactions ÷ views · ER floor
Posts in window
19
of 23 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 16 of 19 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 11 August 2026
Posts held23 (9 July 202611 August 2026)
Views total4,009
Reactions total667
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 03:35 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.

Reaction mix

1,277 reactions across 20 posts, in 9 distinct kinds. The most used accounts for 14.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
18314.3%
🔥17613.8%
🤩16112.6%
🥰16012.5%
👍15812.4%
😍13110.3%
💯1259.79%
❤‍🔥1128.77%
🎉715.56%

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 20 of the 23 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 1,277reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 23 most recent posts we hold, published 9 July 2026 to 11 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.

Recent posts

11 Aug 2026, 16:43 UTC56 views2 reactionsread 12 August 2026
Photo

We just shipped Raditz Update v1.6.0 and the most visible piece is PRIME going live at epoch 792 with zero initial supply. Blocks now scale to 3 MiB, sync runs near-tip every ~100ms, consensus and slashing got hardened, and archival nodes get ChainAudit for full chain verification. The foundation just got stronger. 🙂 Website 📱 Twitter 🌐 Discord

2

10 Aug 2026, 18:09 UTC96 views4 reactionsread 12 August 2026
Photo

The Raditz update was the start of something remarkable. Raditz v1.5.5 upgraded AMA across utility, emissions, and security, and the team has been shipping toward its full effect every day since. https://x.com/ama_protocol/status/2086871603430764811?s=20 🙂 Website 📱 Twitter 🌐 Discord

4

8 Aug 2026, 05:28 UTC144 views2 reactionsread 12 August 2026
Photo

Agents on AMA pay with any token on any chain, no matter what the vendor accepts. Chain-agnostic routing finds the best price across DEXs & chains, self-custody means you sign every tx. The rails are ready. Time to build your agents on AMA. 🙂 Website 📱 Twitter 🌐 Discord

🔥2

6 Aug 2026, 19:42 UTC170 views1 reactionsread 12 August 2026
Photo

Amadeus Protocol: What Makes It Trustable, Not Just Fast Every layer above depends on one thing: a base chain that doesn't just run agents, but can prove what they did. Amadeus Protocol is that L1. Settlement, a deterministic runtime, native agent to agent payments through x402, confidential compute via TEEs, and decentralized AI inference secured through useful Proof of Work. Deterministic execution means an age

🔥1

5 Aug 2026, 19:59 UTC159 viewsread 12 August 2026
Photo

Underneath every agent on AMA Hub or Embed is the same engine doing the actual work: Nova. Nova is the orchestration and intelligence layer. It compiles agents, runs them, and versions them over time. It's the difference between an agent being a one off script and being maintained, upgradeable infrastructure, one where every version is accountable for its own behavior. This is the part of the stack most users never

4 Aug 2026, 18:39 UTC149 viewsread 12 August 2026
Photo

If agents are going to hold and move real money, people need a way to actually reach them, and trust what they're doing once they do. Amadeus gives that two forms. ama hub is the consumer and builder surface: create agents, deploy them, browse a cross chain marketplace, monetize private alpha through TEE powered access. It's where builders launch and where users go to find and run agents directly, with a private but

4 Aug 2026, 16:19 UTC148 viewsread 12 August 2026
Photo

Most AI agents trading means a chatbot that gives you an opinion. You can't see how they reached a decision, and you can't prove they did what they promised. Stellaris is built to close that gap at the execution layer. It's the financial execution stack inside Amadeus, purpose built for agents to trade, manage capital, and coordinate across markets. Intent based trading, DCA, LP automation, perps. Not a bot bolted o

31 Jul 2026, 19:57 UTC204 views2 reactionsread 12 August 2026
Photo

Most agentic trading conversations focus on building something new: a platform, an interface, another thing users have to learn. AMA Embed does the opposite. It drops into the app a partner already runs, a trading platform, a DeFi front end, an institutional dashboard, and layers an AI trading panel on top. The interface stays the same. What changes is what a user can do inside it. Type what you want, in plain lan

🔥2

31 Jul 2026, 11:07 UTC183 views2 reactionsread 12 August 2026
Photo

Most "agentic trading" today is just automation with extra steps. The real problem: can an agent trade with actual autonomy, without exposing your strategy to the infrastructure running it? That's what we've built around. Agents run inside TEEs (Trusted Execution Environments) with hardware attestation, so the chain gets cryptographic proof that the code ran, and ran as claimed. ZK proofs are what let that be verifi

🔥2

29 Jul 2026, 15:04 UTC178 views3 reactionsread 12 August 2026
Photo

Your validator shouldn't have a single point of failure. Now it doesn't. One machine. One cloud. One region. If it goes down, so do you. AWS us-east-1 has gone down roughly every other year since 2011. Not if, but when. Replicas run one validator identity across multiple machines, multiple clouds, multiple continents, at once. One produces. The rest stand ready. If it drops, another takes over in seconds. No downt

🔥3

29 Jul 2026, 07:00 UTC172 views3 reactionsread 12 August 2026
Photo

Every infrastructure shift needs a layer that makes the new primitive trustworthy before it can scale. Smart contracts needed Ethereum to prove they could be trusted with real value. Autonomous agents need something similar now, a layer where they can settle, remember, and transact reliably, not just demo well. That's the layer we're building. And it's further along than most people realize: agents already handling

🔥3

27 Jul 2026, 15:04 UTC177 views2 reactionsread 12 August 2026
Photo

Most institutional crypto ops still run on a to-do list: someone monitors, someone executes, someone reconciles after the fact. That's an operating model problem, not a tech one. We're seeing treasuries shift from managing tasks to setting policy. You define the guardrails, and an agent trades within them, flags what needs sign-off, and keeps a full audit trail. It's less to-do, and more oversight at a higher layer.

🔥2

Showing the 12 most recent of 23 posts we hold for @amadotone. 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.

Citation-graph rank

Citation-graph rank — 788,437 of 1,189,255entries 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 2 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 13 August 2026 — this entry's latest reading, not the date you are reading this.

“Amadeus News - ama.one” (@amadotone), 6,026 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/amadotone.

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.