The EdgenChain Alpha Mainnet is now live.
Welcome to the People-Backed Internet.
Bridge between BNBChain, Ethereum & EdgenChain are now live at: https://t.co/GgE3pJ4HYH
The next generation of infrastructure won’t be defined by how much it computes, but by how efficiently it can prove correctness. That’s the future LayerEdge is building toward.
Already 280K+ proofs verified on the mainnet in 33k batches since inception, with avg. proof cost <$0.01: https://t.co/w6UXh9a2a9
Here's the latest batch from 1 minute ago: https://t.co/t59FexE9eR
Integrating Your Protocol with LayerEdge's Aggregation & Verification Layer? This guide lives both in this repository and in a dedicated integerations repository.
For the Rust Block Reader codebase, see the canonical repo: https://t.co/FuLQuf0rmo
Read more: https://t.co/p9eKA9RLFy
“We did an experiment with the previous technology. It cost about $15,000 to put a ZK verifier on-chain. Now we are about $10 to $20.”
@dntse at @consensus2026 on @CoinDesk Live, explaining BABE, Babylon’s 1,000x breakthrough in making proof verification on Bitcoin cheaper, faster, and more practical.
LayerEdge approaches security as a system, not a single mechanism. Cryptographic proofs, decentralized verification, probabilistic validation, and incentive-aligned participation work together to create scalable and trust-minimized verification.
The next generation of decentralized systems will depend on scalable verification. Learn how LayerEdge approaches aggregation, security, and trust-minimized computation.
https://t.co/npB0igDb96
1/ Scalability in LayerEdge
Scalability isn’t just about processing more transactions. It’s about verifying massive computation efficiently. LayerEdge moves heavy execution off-chain and uses zk-proofs as compact, verifiable summaries.
3/ With stateless nodes, Merkle-based inclusion, and hardware-accelerated proving, LayerEdge enables low-bandwidth, scalable verification. The result is infrastructure designed for global, multi-domain computation.
3/The next evolution isn’t more computation.
It’s making every result independently verifiable again. That’s how systems move from trusted environments to truly decentralized ones.
1/ At first, systems were simple.
You could trust the operator, re-run the process, or verify everything yourself.
Scale wasn’t the problem. Complexity wasn’t either.
2/ Then computation exploded.
AI, rollups, and off-chain systems began producing results faster than anyone could independently check. Trust quietly returned, not by design, but by necessity.