Krews (@Krewstake) header
Krews (@Krewstake) profile picture

Krews

@Krewstake

Krews operates high-performance validators on leading PoS networks, ensuring security, decentralization, and network reliability.

krews.xyz/
Joined September 2021
  • Tweets113
  • Following88
  • Followers495
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Photo by Krews (@Krewstake)Photo by Krews (@Krewstake)Photo by Krews (@Krewstake)Photo by Krews (@Krewstake)Photo by Krews (@Krewstake)Photo by Krews (@Krewstake)Photo by Krews (@Krewstake)Photo by Krews (@Krewstake)Photo by Krews (@Krewstake)Photo by Krews (@Krewstake)
Fibre is live on our @celestia dashboard 🧵 We added a full Fibre section for Mainnet and Mocha, a public read-only API and an MCP server for AI agents: validator reachability, data-availability duty and every blob settled through Fibre, in one place. Thread 👇
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6/ MCP server AI agents get the same data through a Model Context Protocol server: 19 read-only tools over Streamable HTTP, no auth, works with Claude, Cursor, VS Code and any MCP client. claude mcp add --transport http krews-validator-data celestia-dashboard-api.krews…
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7/ Fibre is in beta while the protocol matures on mainnet; more metrics will land as activity grows. Feedback is welcome. Dashboard: celestia-dashboard.krews.xyz… API: celestia-dashboard-api.krews… Built by @Krewstake for the @celestia community.
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Krews retweeted
Celestia (@celestia) profile picture
Celestia
@celestiaOct 20
Fibre is now live on Celestia mainnet. As the biggest upgrade since Celestia’s launch, Fibre delivers the unprecedented scale required to bring global finance and agentic commerce onchain.
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Fibre is pushing the limits of DA. Eden is putting agent use cases to the test. Both matter if the agentic economy is going to scale.
Celestia (@celestia) profile pictureCelestia
@celestiaOct 16
Introducing Eden: a high-performance EVM chain on Celestia that we use as a sandbox for agentic commerce experiments.
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Krews retweeted
Celestia (@celestia) profile picture
Celestia
@celestiaOct 1
A prospective customer with extreme throughput requirements asked how much capacity Fibre can really deliver. So we ran an end-to-end benchmark across 120 validators. It sustained 3.07 Tb/s of throughput, enough data for nearly 2 billion transactions per second. Every transaction Visa processed in 2025 would fit in just over two minutes. Full breakdown: blog.celestia.org/celestia-f…
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Glad to welcome @Krewstake to the @NEARProtocol validator ecosystem ⚡ This is exactly what Node Studio was built for: helping more operators take an active role in the network. Welcome to mainnet! We’re excited to have you here 🤝
Krews (@Krewstake) profile pictureKrews
@KrewstakeSep 29
Krews is now live on @NEARProtocol Mainnet. We joined the NEAR validator ecosystem through @meta_pool's Node Studio program, and we’re grateful to the Meta Pool team for their support throughout the journey. 🤝 Validator Pool: krews.pool.near Proud to contribute to NEAR. ⚡
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Krews is now live on @NEARProtocol Mainnet. We joined the NEAR validator ecosystem through @meta_pool's Node Studio program, and we’re grateful to the Meta Pool team for their support throughout the journey. 🤝 Validator Pool: krews.pool.near Proud to contribute to NEAR. ⚡
Image from Krews (@Krewstake)
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Krews retweeted
Monad (@monad) profile picture
Monad
@monadAug 21
We're in a new era of 300ms Next stop, 100ms
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Solana (@solana) profile pictureSolana
@solanaAug 21
We're in a new era of 350ms Next stop, 300ms
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Monad just got faster! MIP-12 live → block vote pace 400ms → 300ms Track @monad’s faster consensus in real time: monatlas.io/
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We built Monatlas, a real-time dashboard and data platform for @monad. Track consensus, explore validators and decentralization, analyze network stats, and access the same data through our API. Live on Mainnet and Testnet: monatlas.io Here’s what’s inside ↓🧵
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6/7 — Stats Explore per-epoch network history built from on-chain snapshots and indexed reward logs. Track network stake, validator and delegator counts, rewards, block production, validator income, priority fees and unclaimed balances across 7D, 1M, 3M or custom ranges.
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7/7 — API The same indexed data is available through a read-only REST API. Browse 41 endpoints across 10 groups, inspect response payloads and send live requests. Explore the API and tell us what would make Monatlas more useful. monatlas.io/api
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