The post-quantum L1 for private, shared AI compute. Validate, provide compute, stake $MTR, vote.

Joined June 2026
You shouldn't have to take our word for what's happening on MatterChain. MatterScan gives anyone a window into the network. As the network grows, we'll start sharing a monthly look at the numbers that matter here. Until then, you can verify it yourself ↓ explorer.matterscan.io
🤖 Made with AI
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Decentralization isn't a switch you flip at launch. It's something a network has to build and maintain through participation, incentives, and governance. The architecture makes it possible. The ecosystem makes it real.
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MatterScan follows EIP-3091. That means block, transaction, and address URLs work the way EVM tooling already expects. No bespoke format to learn. Drop a block number, address, or transaction hash into search and MatterScan takes you where you need to go. explorer.matterscan.io #MatterChain #Web3
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MatterChain gives you two places to see what’s happening onchain. Explorer → blocks, transactions, accounts, and MTR supply explorer.matterscan.io Staking → validators, rewards, nominations, and governance staking.matterscan.io No wallet connection required. Just look around. #MatterChain #Staking
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Everything on MatterChain is public. Blocks. Transfers. Accounts. $MTR supply. Whether you hold $MTR, run infrastructure, or just want to verify what we say against what the chain says, you can check it yourself.
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We're now validating MatterChain, they're building toward a decentralized compute layer where AI workloads can be processed without exposing the complete underlying data to any single participant. @MTRFdn
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MatterChain is actively routing private MPC compute jobs and MatterDAO is on the rise. Who else is excited for the future of the internet?!
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Matter DAO stewards MatterChain: the post-quantum Layer 1 that OpenMatter's private AI compute runs on. This thread is the chain, the token, and how to operate on it. For the products, see @OpenMatter_.
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Dan is right that sandboxing and monitoring won't cut it. The solution has to be trustless. @OpenMatter_ is building one that uses zero-knowledge proofs to govern agent behavior, so an action that breaks policy can't produce a valid proof, and without one, the agent can't act.
I don’t understand the idea that the solution to the HuggingFace incident is better sandboxing or monitoring These models are going to be deployed in production, with internet access and inevitably minimal monitoring! We need to be able to trust them in those situations
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MatterChain’s B-1 Token Transparency disclosure is now live via @Blockworks, giving the market a clear look at $MTR and the network behind it.
MatterChain @MTRFdn is a Layer-1 for confidential compute: jobs run across nodes that never see the whole input. Their B-1 Token Transparency disclosure received no gaps. $MTR went live on July 1, 2026.
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Expression has never been easier. Origin has never been harder to see. In a world where anything can be created, copied, or remixed, identity and provenance shouldn’t depend on trust. They should be verifiable.
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On MatterChain, you can verify the rules instead of trusting a narrative. Credibility should come from what is provable, not who is loudest.
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