Channel
@AventaNews
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry
86subscribers
-4 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
| Telegram ID | -1002177016934 |
|---|---|
| Type | Channel |
| Username | @AventaNews |
| Created | Between 1 June 2024 and 30 September 2024— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 9 August 2026 |
| Last confirmed live | 29 August 2026 |
| Measurements held | 5 |
| Confirmed unchanged | 1 time, most recently 29 August 2026 |
| On Telegram | t.me/AventaNews |
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 29 Aug 2026, 22:55 | 86 | -1 |
| 22 Aug 2026, 13:24 | 87 | -2 |
| 14 Aug 2026, 17:37 | 89 | -1 |
| 9 Aug 2026, 14:31 | 90 | no change |
| 7 Aug 2026, 13:52 | 90 | first reading |
20 posts held, back to 11 May 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 20 posts for this entry, the most recent from 22 July 2025. An engagement rate over an empty window would be a number about nothing.
Measured directly from 18 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.
293 reactions across 20 posts, in 11 distinct kinds. The most used accounts for 61.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 🔥 | 181 | 61.8% | |
| ❤ | 56 | 19.1% | |
| 👍 | 17 | 5.80% | |
| 🙏 | 15 | 5.12% | |
| 🏆 | 6 | 2.05% | |
| 👀 | 4 | 1.37% | |
| 🥰 | 4 | 1.37% | |
| 🎉 | 3 | 1.02% | |
| 👏 | 3 | 1.02% | |
| 🆒 | 2 | 0.683% | |
| 🍾 | 2 | 0.683% |
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 20 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 293reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 11 May 2025 to 22 July 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
🪙 Aventa Chain Anomaly Dashboard Dev Updates 🧠 Real time AI powered security monitoring via the Aventa AI Hub Service now fully operational with: - Live anomaly detection charts - 30+ detected threats including MEV attacks, rug pulls & flash loan exploits - Interactive timeline with severity-based alerts - 99% AI confidence scoring on critical threats ⭐️ Visual Analytics - Live Trends Chart: Real time anomaly fre…
🔥8❤2🥰2👍1🙏1
🪙 Aventa Chain Anomaly Detection Dashboard - Major Enhancements 🧠 New Detection Capabilities Tests - Advanced Threat Types: Sybil attacks, pump & dump schemes, governance attacks, bridge exploits, NFT wash trading, oracle manipulation, flash loans and contract drains - Enhanced MEV Detection: Frontrunning, sandwich attacks and backrunning patterns with up to 95% confidence scoring - Real time Monitoring: Analyzes n…
🔥13❤3🙏1
🪙 Aventa L1 EVM Anomaly Development Progress We have moved onto implementing the second phase of the chain analysis for the wallets and transactions AI Anomaly Dashboard for the Aventa blockchain where stats will be displayed via our API after scanning the chain in real time to detect anomalies. 💠 AI-Powered Anomaly Detection Dashboard 💠Real-time blockchain security monitoring 💠 Smart contract vulnerability detecti…
🔥12❤3🙏1
🪙 Aventa AI Anomaly Detection Dashboard on Testnet on the Way $AVENT has reached another major milestone in blockchain security innovation with the launch of the first stage AI Anomaly Detection Dashboard which is designed to give users and investors unmatched visibility of live threats in real time, into the Aventa Layer 1 EVM AI Blockchain. 🧠 What’s On The Way (Backend/API's 90% live, Frontend integrations pendin…
🔥10👍1👏1🙏1
🪙 Aventa AI Transaction Pattern Analysis Delivered A Major Leap Forward in On Chain Intelligence & Transaction Pattern Analysis The Aventa AI Layer 1 EVM Blockchain just unlocked a powerful new capability, AI driven transaction pattern analysis for every wallet and contract on the network. This is next generation visibility for investors, developers and users alike. 🧠 What’s New 💠 Live on Every Address Page in t…
🔥8👀4🏆2
🪙 Aventa AI Service Hub Development Summary 🧠 Additional Breakthrough AI integration achieved 💠 Real AI powered security analysis now live in the Aventa Layer 1 EVM AI blockchain and integrated into the Explorer, offering smart contract vulnerability detection in real time 💠 Production ready AI infrastructure capable of analyzing complex contracts within 180 seconds, running 24/7 💠 Enterprise grade performance prov…
🔥6❤4🎉3
🪙 Aventa Chain Tests Aventa has successfully concluded its next tests. The tests simulated real world usage across a diverse set of transactions and validated the stability and scalability of the entire Layer 1 EVM AI ecosystem. 🧠 Info - Block production advanced over all blocks without interruption - Smart Contract and Ecosystem Validation - Multiple contract types tested such as smart contracts, counters and mi…
🔥8❤2🍾2🙏2🏆1
🪙 $AVENT AI Service Hub Dev Update The Aventa AI Security Scanner just leveled up delivering enterprise-grade smart contract analysis, now with flash loans analysis, to every Web3 user directly in the Aventa Explorer. 🧠 Enhanced & New Features 💠 Rescan Capability: Contracts can now be re-analyzed anytime 💠 Secure API Access with initial rollout includes rate-limited AI API 💠 Line-Level Reporting 💠 Pinpoint vulnera…
🔥7❤3🙏1
🪙 Aventa AI Service Hub Progress Update The Aventa Layer 1 AI EVM Service Hub now has enhanced details developed and integrated for smart contracts with blazing fast performance! 🧠 Key Testnet Highlights 💠 Built in enhanced AI Security Scanning 💠 Every contract gets a a real time AI score 💠 Risk levels with Critical, High, Medium, Low and instantly visible 💠 Code health & gas efficiency insights included ⭐️ Next …
🔥9❤3🙏2
🪙 Aventa AI Service Hub Progress Update The Aventa team is thrilled to unveil major milestones in the development of the AI Service Hub, a revolutionary leap in on chain smart contract security for Web3 users, developers and investors built directly on to the Layer 1 AI blockchain. 🚩 Introducing the $AVENT AI Security Section Set to live on the Aventa Explorer (Currently Testnet), this powerful user facing AI sect…
🔥12❤4🥰1
🪙 Aventa Breakthrough: AI Powered Blockchain Security Has Arrived Aventa has officially fully developed and successfully the Layer 1 blockchain with a fully integrated AI Service Hub, directly embedded into our blockchain and explorer! This is a game changing leap forward in real time smart contract security on chain and integration into the explorer, the first step with a scoring mechanism into a every contract ha…
🔥14🏆3👏2❤1
🪙 Aventa Chain Testing Complete With 100% Success We have completed the Aventa Chain comprehensive system wide pen testing process with 100% success across all required tests. All smart contracts, infrastructure and backend systems are now fully validated and production ready. 🪙 Key Testing Highlights ⬆️ Smart Contract Suite With 7 key contracts tested: - Smart Token Contracts – Minting, burning and transfer fu…
🔥9❤6🙏2
Showing the 12 most recent of 20 posts we hold for @AventaNews. 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.
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.
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 29 August 2026 — this entry's latest reading, not the date you are reading this.
“Aventa News” (@AventaNews), 86 subscribers as measured 29 August 2026. Telegram Register, tgregister.com/channel/AventaNews.
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.