We've been really honing in on the intent-centric future with regards to chain abstraction in recent podcasts, as its something we are particularly excited for and believe in.
One of the interesting aspects of the chain abstracted stack is that it requires a ton of collaboration amongst different players to fulfill the endgame of a smooth UX with chain agnosticism.
Today, we're taking a closer look into this landscape with an in-person interview in Singapore. Andy sat down with Arjun Bhuptani to discuss Everclear, a protocol designed to tackle one of the most pressing challenges in solving and intents—rebalancing liquidity efficiently across multiple chains.
In the early days of Connext, Arjun realized this issue of helping solvers manage inventory was going to become a pressing one in the future. As he grew belief in the thesis that capital rebalancing and liquidity flow are major bottlenecks, especially when it comes to smaller, niche (or long-tail) chains, he made the tough choice to reposition to build Everclear.
In this piece, we’re going to break down Everclear’s approach to solving this problem through intent-based bridging, a concept that’s gradually taking center stage in the crypto space. Instead of relying on the traditional, expensive bridging models that involve validator sets or multisigs, Everclear uses intents—enabling fast, trustless atomic swaps between chains while keeping fees low and security intact, via offchain market makers.
We’ll also be covering Everclear's unique approach to netting liquidity across chains, akin to something like Visa’s netting mechanism.
Plus, we'll touch on the growing relevance of long-tail chains and how Everclear’s rebalancing system could play a pivotal role in expanding liquidity access to smaller, more specialized ecosystems.
Finally, at the end we'll touch on the new vote bonding token model for Everclear, and why they settled on this economic model.
Lets dive in.
The Rollup