CIRCLE LAUNCHES AI AGENT DISCOVERY LAYER TO POWER AUTONOMOUS USDC PAYMENTS Circle has officially launched an agent discovery protocol for USDC, allowing autonomous artificial intelligence models to locate, negotiate, and execute payments directly onchain. As AI software evolves from basic text generation into independent software agents executing real-world tasks, legacy banking rails lack the programmatic APIs, 24…

Channel
Ethiopian Blockchain Week
@EthioBW
On this record: Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Cite this entry
4,704subscribers
-47 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
Register entry
| Telegram ID | -1002533730088 |
|---|---|
| Type | Channel |
| Username | @EthioBW |
| Created | Between 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 12 August 2026 |
| Measurements held | 4 |
| Confirmed unchanged | 1 time, most recently 12 August 2026 |
| On Telegram | t.me/EthioBW |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 12 Aug 2026, 15:53 | 4,704 | -19 |
| 9 Aug 2026, 20:52 | 4,723 | -26 |
| 6 Aug 2026, 17:51 | 4,749 | -2 |
| 6 Aug 2026, 13:34 | 4,751 | first reading |
Engagement
28 posts held, back to 20 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 7 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 12.6%
- avg views ÷ 4,704 subscribers
- Avg views / post
- 594
- 26 posts measured
- Reaction rate
- 0.534%
- reactions ÷ views · ER floor
- Posts in window
- 28
- of 28 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 19 of 26 measured posts that carry a reaction reading, and over those same posts' views.
| Window | Rolling 30 days · latest post in window 11 August 2026 |
|---|---|
| Posts held | 28 (20 July 2026 – 11 August 2026) |
| Views total | 15,434 |
| Reactions total | 70 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 12 Aug 2026, 05:26 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
- 6m 09s
- Average length
- 53s
Measured directly from 7 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
70 reactions across 19 posts, in 12 distinct kinds. The most used accounts for 32.9% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 23 | 32.9% | |
| 🔥 | 11 | 15.7% | |
| 😐 | 11 | 15.7% | |
| 👍 | 8 | 11.4% | |
| 👏 | 8 | 11.4% | |
| 🕊 | 2 | 2.86% | |
| 😱 | 2 | 2.86% | |
| ✍ | 1 | 1.43% | |
| 🌚 | 1 | 1.43% | |
| 😁 | 1 | 1.43% | |
| 😡 | 1 | 1.43% | |
| 😢 | 1 | 1.43% |
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 19 of the 28 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 70reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 28 most recent posts we hold, published 20 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.
Telegram Stars
- Stars received
- 2
- across the posts below
- Posts paid on
- 1
- of 26 we hold a reading for · 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 @EthioBW. 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 28 most recent posts we hold for this entry, published 20 July 2026 to 11 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.
Recent posts
https://x.com/base/status/2086754553580355673?s=20
INSTITUTIONAL TREASURIES SHIFT FROM PASSIVE CRYPTO HOLDING TO ONCHAIN YIELD GENERATION Institutional adoption of digital assets is entering a structural transformation as corporate balance sheets transition from passive token storage to active onchain staking. Major crypto treasuries are increasingly deploying billions into enterprise-grade validator networks, securing blockchain consensus while generating hundreds …
Hyperbitcoinization in full effect! As digital scarcity becomes the global standard, every business and individual will eventually touch the Bitcoin network whether as a store of value, payment rail, or treasury asset. What's your #BTC play? 💡
❤1
BREAKING: THE WORST HARDWARE WALLET HACK IN BITCOIN HISTORY!!! The Coldcard bug explained in simple terms: Normally, a hardware wallet generates your 12 word seed phrase using true randomness. Think of it like a lottery with roughly 340 undecillion possible tickets (that’s a 340 followed by 36 zeros). Every ticket has an equal chance of being picked, making the odds of guessing your seed essentially zero. The bug…
🔥5😱2
INSTITUTIONAL STABLECOIN RAILS ARE QUIETLY BECOMING GLOBAL PAYMENTS BACKBONE Major banking legacy players like Wells Fargo announcing tokenized corporate deposit pilots, alongside global card networks testing stablecoin trust frameworks, signal that digital settlement is moving out of the speculative corner and straight into enterprise treasury. Rather than attempting to bypass traditional finance, modern Web3 deve…
🔥2❤1
How Does Cryptographic Security Work in Blockchain Transactions? 🤔💡 Have you ever wondered how sending crypto or data on a blockchain stays completely secure without a bank acting as a middleman? This video breaks down Asymmetric Cryptography—the security system that verifies your digital identity and guarantees 100% mathematical security for your transactions! Learn how your Private Key generates an unforgea…
- THE GREAT DEFI SHIFT: FROM SPECULATION TO HYBRID FINANCE Data released today shows tokenized Real-World Assets (RWAs) like gold, treasuries, and stocks tripled to over $7.4 Billion onchain, while pure speculative DeFi volume dropped. - TRADITIONAL CAPITAL IS TAKING OVER. Investors aren't ditching traditional assets—they're upgrading the infrastructure they trade them on to 24/7 instant settlement. - CONVERGENCE…
🔘AFRICA IS BUILDING ONCHAIN. WHAT DOES IT MEAN FOR ETHIOPIA? - While Kenya tokenizes stock exchange assets with Tether and puts 30M+ academic credentials on Avalanche, Africa is quietly proving that blockchain is core public infrastructure. - Meanwhile, Ethiopia faces tight foreign exchange restrictions and ongoing international sanction pressures, making fast, low-cost cross-border rails more urgent than ever. - …
🔥3❤2
Want to get into crypto without staring at complex charts all day? 🚀 You don't need to be a day trader to start your crypto journey. Here are the simplest, low-stress ways to get involved as a complete beginner—no trading experience required! 💡✨ Which method are you trying first? Drop your questions below! 👇
BREAKING: Kenya Government brings 30M+ academic credentials on chain with Avalanche Every year, millions of students across Kenya complete their final examinations, concluding years of study with a singular milestone: an official certificate. These records represent more than grades; they are the definitive keys to employment, higher education, and economic mobility. Yet, for decades, proving that a certificate is…
❤1🔥1
Is privacy on the internet officially solved? 🤫 We all know blockchain is great for transparency... but what about when you don't want the whole world seeing your business? Enter Zero-Knowledge Proofs (ZK-Proofs). It’s the tech that lets you prove a fact (like being over 21 or having enough funds) without showing your actual private data. Could this be even bigger than blockchain itself? Drop your thoughts below! …
❤3
Showing the 12 most recent of 28 posts we hold for @EthioBW. 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.
Citation-graph rank
Citation-graph rank — 69,179 of 1,478,351entries 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.
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 5 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 12 August 2026 — this entry's latest reading, not the date you are reading this.
“Ethiopian Blockchain Week” (@EthioBW), 4,704 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/EthioBW.
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.