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Metamoonshots🚀

Metamoonshots🚀

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Community for Web3 and AI. AMAs, News and Educational Contents. Enquiries @eddiemms @couponxdealer (Replying ASAP) https://twitter.com/metamoonshots Group - @moonshots Website - mms.cx

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📈 Analytical overview of Telegram channel Metamoonshots🚀

Channel Metamoonshots🚀 (@metamoonshots) in the English language segment is an active participant. Currently, the community unites 34 258 subscribers, ranking 3 445 in the Cryptocurrencies category and 929 in the Malaysia region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 34 258 subscribers.

According to the latest data from 08 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -7 859 over the last 30 days and by -97 over the last 24 hours, overall reach remains high.

  • Verification status: Verified (Officially confirmed by Telegram)
  • Engagement rate (ER): The average audience engagement rate is 15.83%. Within the first 24 hours after publication, content typically collects 15.22% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 5 494 views. Within the first day, a publication typically gains 5 282 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 0.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“Community for Web3 and AI. AMAs, News and Educational Contents. Enquiries @eddiemms @couponxdealer (Replying ASAP) https://twitter.com/metamoonshots Group - @moonshots Website - mms.cx”

Thanks to the high frequency of updates (latest data received on 09 October, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Cryptocurrencies category.

34 258
Subscribers
-9724 hours
-8887 days
-7 85930 days
Posts Archive
🧠 Decentralized Compute GPU marketplaces are crypto's answer to compute scarcity. Idle hardware anywhere can train models ev
🧠 Decentralized Compute GPU marketplaces are crypto's answer to compute scarcity. Idle hardware anywhere can train models everywhere. — 🚀 Moonshots Group: @moonshots · Channel: @metamoonshots

🧠 Agent Economies Multi-agent systems increasingly settle value on-chain. Smart contracts become the API between AIs. — 🚀 M
🧠 Agent Economies Multi-agent systems increasingly settle value on-chain. Smart contracts become the API between AIs. — 🚀 Moonshots Group: @moonshots · Channel: @metamoonshots

🧠 Data Ownership Web3 reframes training data as an asset, not exhaust. Whoever owns the data pipeline owns the moat. — 🚀 Mo
🧠 Data Ownership Web3 reframes training data as an asset, not exhaust. Whoever owns the data pipeline owns the moat. — 🚀 Moonshots Group: @moonshots · Channel: @metamoonshots

🧠 Verifiable Compute zkML lets you prove an AI model ran correctly without revealing the model or the data. — 🚀 Moonshots G
🧠 Verifiable Compute zkML lets you prove an AI model ran correctly without revealing the model or the data. — 🚀 Moonshots Group: @moonshots · Channel: @metamoonshots

🧠 Autonomous Agents On-chain agents can now hold wallets and trade. The question shifts from "can AI trade" to "who audits i
🧠 Autonomous Agents On-chain agents can now hold wallets and trade. The question shifts from "can AI trade" to "who audits it". — 🚀 Moonshots Group: @moonshots · Channel: @metamoonshots

🧠 Governance by Algorithm DAOs are quietly becoming AI agents' first real governance structure to operate inside. — 🚀 Moons
🧠 Governance by Algorithm DAOs are quietly becoming AI agents' first real governance structure to operate inside. — 🚀 Moonshots Group: @moonshots · Channel: @metamoonshots

🧠 Trading Bots The line between "AI trading bot" and "DeFi strategy" is mostly marketing at this point. — 🚀 Moonshots Group
🧠 Trading Bots The line between "AI trading bot" and "DeFi strategy" is mostly marketing at this point. — 🚀 Moonshots Group: @moonshots · Channel: @metamoonshots

🧠 Tokenized Models Open-weight models are starting to carry on-chain provenance -- who fine-tuned what, and when. — 🚀 Moons
🧠 Tokenized Models Open-weight models are starting to carry on-chain provenance -- who fine-tuned what, and when. — 🚀 Moonshots Group: @moonshots · Channel: @metamoonshots

🧠 Prediction Markets AI forecasts are only as good as their incentives. On-chain markets give predictions skin in the game.
🧠 Prediction Markets AI forecasts are only as good as their incentives. On-chain markets give predictions skin in the game. — 🚀 Moonshots Group: @moonshots · Channel: @metamoonshots

🧠 Sybil Resistance As AI-generated identity gets cheaper, proof-of-human becomes a harder and more valuable primitive. — 🚀
🧠 Sybil Resistance As AI-generated identity gets cheaper, proof-of-human becomes a harder and more valuable primitive. — 🚀 Moonshots Group: @moonshots · Channel: @metamoonshots

🧠 Decentralized Compute GPU marketplaces are crypto's answer to compute scarcity. Idle hardware anywhere can train models ev
🧠 Decentralized Compute GPU marketplaces are crypto's answer to compute scarcity. Idle hardware anywhere can train models everywhere. — 🚀 Moonshots Group: @moonshots · Channel: @metamoonshots

🧠 Agent Economies Multi-agent systems increasingly settle value on-chain. Smart contracts become the API between AIs. — 🚀 M
🧠 Agent Economies Multi-agent systems increasingly settle value on-chain. Smart contracts become the API between AIs. — 🚀 Moonshots Group: @moonshots · Channel: @metamoonshots

🧠 Data Ownership Web3 reframes training data as an asset, not exhaust. Whoever owns the data pipeline owns the moat. — 🚀 Mo
🧠 Data Ownership Web3 reframes training data as an asset, not exhaust. Whoever owns the data pipeline owns the moat. — 🚀 Moonshots Group: @moonshots · Channel: @metamoonshots

🧠 Verifiable Compute zkML lets you prove an AI model ran correctly without revealing the model or the data. — 🚀 Moonshots G
🧠 Verifiable Compute zkML lets you prove an AI model ran correctly without revealing the model or the data. — 🚀 Moonshots Group: @moonshots · Channel: @metamoonshots

🧠 Autonomous Agents On-chain agents can now hold wallets and trade. The question shifts from "can AI trade" to "who audits i
🧠 Autonomous Agents On-chain agents can now hold wallets and trade. The question shifts from "can AI trade" to "who audits it". — 🚀 Moonshots Group: @moonshots · Channel: @metamoonshots

🧠 Governance by Algorithm DAOs are quietly becoming AI agents' first real governance structure to operate inside. — 🚀 Moons
🧠 Governance by Algorithm DAOs are quietly becoming AI agents' first real governance structure to operate inside. — 🚀 Moonshots Group: @moonshots · Channel: @metamoonshots

🧠 Trading Bots The line between "AI trading bot" and "DeFi strategy" is mostly marketing at this point. — 🚀 Moonshots Group
🧠 Trading Bots The line between "AI trading bot" and "DeFi strategy" is mostly marketing at this point. — 🚀 Moonshots Group: @moonshots · Channel: @metamoonshots

🧠 Tokenized Models Open-weight models are starting to carry on-chain provenance -- who fine-tuned what, and when. — 🚀 Moons
🧠 Tokenized Models Open-weight models are starting to carry on-chain provenance -- who fine-tuned what, and when. — 🚀 Moonshots Group: @moonshots · Channel: @metamoonshots

🧠 Prediction Markets AI forecasts are only as good as their incentives. On-chain markets give predictions skin in the game.
🧠 Prediction Markets AI forecasts are only as good as their incentives. On-chain markets give predictions skin in the game. — 🚀 Moonshots Group: @moonshots · Channel: @metamoonshots

🧠 Sybil Resistance As AI-generated identity gets cheaper, proof-of-human becomes a harder and more valuable primitive. — 🚀
🧠 Sybil Resistance As AI-generated identity gets cheaper, proof-of-human becomes a harder and more valuable primitive. — 🚀 Moonshots Group: @moonshots · Channel: @metamoonshots