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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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📈 Análisis del canal de Telegram Metamoonshots🚀

El canal Metamoonshots🚀 (@metamoonshots) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 34 271 suscriptores, ocupando la posición 3 374 en la categoría Criptomonedas y el puesto 898 en la región Malasia.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 34 271 suscriptores.

Según los últimos datos del 07 octubre, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -7 865, y en las últimas 24 horas de -267, conservando un alto alcance.

  • Estado de verificación: Verificado (confirmado oficialmente por Telegram)
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 13.88%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 18.92% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 4 828 visualizaciones. En el primer día suele acumular 6 582 visualizaciones.
  • Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 0.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Community for Web3 and AI. AMAs, News and Educational Contents. Enquiries @eddiemms @couponxdealer (Replying ASAP) https://twitter.com/metamoonshots Group - @moonshots Website - mms.cx”

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 08 octubre, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Criptomonedas.

34 271
Suscriptores
-26724 horas
-9297 días
-7 86530 días
Archivo de publicaciones
🧠 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

🧠 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