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.

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𝗗𝗜𝗦𝗖𝗟𝗔𝗜𝗠𝗘𝗥: 𝘐𝘯𝘷𝘦𝘴𝘵𝘪𝘯𝘨 𝘪𝘯 𝘤𝘳𝘺𝘱𝘵𝘰𝘤𝘶𝘳𝘳𝘦𝘯𝘤𝘺 𝘢𝘯𝘥 𝘋𝘦𝘍𝘪 𝘱𝘭𝘢𝘵𝘧𝘰𝘳𝘮𝘴 𝘤𝘰𝘮𝘦𝘴 𝘸𝘪𝘵𝘩 𝘪𝘯𝘩𝘦𝘳𝘦𝘯𝘵 𝘳𝘪𝘴𝘬𝘴 𝘪𝘯𝘤𝘭𝘶𝘥𝘪𝘯𝘨 𝘵𝘦𝘤𝘩𝘯𝘪𝘤𝘢𝘭 𝘳𝘪𝘴𝘬, 𝘩𝘶𝘮𝘢𝘯 𝘦𝘳𝘳𝘰𝘳, 𝘱𝘭𝘢𝘵𝘧𝘰𝘳𝘮 𝘧𝘢𝘪𝘭𝘶𝘳𝘦 𝘢𝘯𝘥 𝘮𝘰𝘳𝘦. 𝘈𝘵 𝘤𝘦𝘳𝘵𝘢𝘪𝘯 𝘱𝘰𝘪𝘯𝘵𝘴 𝘵𝘩𝘳𝘰𝘶𝘨𝘩𝘰𝘶𝘵 𝘵𝘩𝘪𝘴 𝘤𝘩𝘢𝘯𝘯𝘦𝘭, 𝘸𝘦 𝘮𝘢𝘺 𝘦𝘢𝘳𝘯 𝘢 𝘤𝘰𝘮𝘮𝘪𝘴𝘴𝘪𝘰𝘯 𝘰𝘳 𝘧𝘦𝘦 𝘢𝘴 𝘢 𝘴𝘱𝘰𝘯𝘴𝘰𝘳𝘴𝘩𝘪𝘱, 𝘪𝘧 𝘵𝘩𝘪𝘴 𝘪𝘴 𝘵𝘩𝘦 𝘤𝘢𝘴𝘦 𝘸𝘦 𝘸𝘪𝘭𝘭 𝘢𝘭𝘸𝘢𝘺𝘴 𝘮𝘢𝘬𝘦 𝘴𝘶𝘳𝘦 𝘪𝘵 𝘪𝘴 𝘤𝘭𝘦𝘢𝘳. 𝘞𝘦 𝘢𝘳𝘦 𝘴𝘵𝘳𝘪𝘤𝘵𝘭𝘺 𝘢𝘯 𝘦𝘥𝘶𝘤𝘢𝘵𝘪𝘰𝘯𝘢𝘭 𝘤𝘰𝘯𝘵𝘦𝘯𝘵 𝘱𝘭𝘢𝘵𝘧𝘰𝘳𝘮, 𝘯𝘰𝘵𝘩𝘪𝘯𝘨 𝘸𝘦 𝘰𝘧𝘧𝘦𝘳 𝘪𝘴 𝘧𝘪𝘯𝘢𝘯𝘤𝘪𝘢𝘭 𝘢𝘥𝘷𝘪𝘤𝘦. 𝘞𝘦 𝘢𝘳𝘦 𝘯𝘰𝘵 𝘱𝘳𝘰𝘧𝘦𝘴𝘴𝘪𝘰𝘯𝘢𝘭𝘴 𝘰𝘳 𝘭𝘪𝘤𝘦𝘯𝘴𝘦𝘥 𝘢𝘥𝘷𝘪𝘴𝘰𝘳𝘴.