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Powering the future of composable, next-gen dApps with Espresso

Tech/Nov 12, 2024/Marketing Unit
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Cartesi and Espresso are pushing the boundaries of web3 with a powerful integration that combines Cartesi’s high-performance rollups and Espresso’s fast pre-confirmations and robust data availability layer. This collaboration unlocks new possibilities for interoperability and scalability, setting the stage for next-gen dApps across diverse use cases.

Why this integration matters

Cartesi, with its modular execution environment and Linux-based runtime, empowers developers to build robust, complex dApps with high performance rollups. Espresso offers a platform that emphasizes openness, composability, and permissionless interaction across blockchains. By integrating their strengths, Cartesi and Espresso will:

  • Enhance user experience: Cartesi Rollups will gain soft finality, crucial for dApps needing near-instant, consensus-backed confirmations – a significant boost for cross-chain apps like liquidity network bridges.
  • Optimize developer costs: With Espresso’s data availability (DA) layer, Cartesi developers can more effectively manage costs, fueling sustainable dApp growth.
  • Boost interoperability: Through shared sequencing on the Espresso Marketplace (launching in early 2025), rollups can offer smoother, more unified user experiences across multiple applications.
  • Showcase scalable data and computation: This partnership demonstrates how scalable data and computation can power more complex dApps that remain user-friendly.
  • Stay Ethereum-compatible: Together, Cartesi and Espresso unlock new potential without straying from the vibrant Ethereum ecosystem.

This integration sets the stage for an even greater impact once Cartesi Rollups go live on Espresso’s mainnet in 2025.

Three key dApps leading the way

This partnership will enable some standout dApps to push the envelope further, demonstrating how this integration drives new possibilities for creativity, community, and trading in decentralized spaces.

Here’s a look at three projects set to benefit from the Cartesi x Espresso integration:

1. DrawingCanvas: A digital space for onchain creativity

DrawingCanvas embodies the joy of collaborative creativity, appealing to artists of all ages and encouraging free-form expression. This vector drawing dApp invites users to create unique artwork or build upon existing pieces, layering previous versions as immutable records on Cartesi Rollups. Users can share their drawings and invite others to collaborate. Once completed, artwork can be minted as NFTs by anyone, and the value is equally divided between all contributors.

Thanks to Cartesi’s integration with Espresso, DrawingCanvas enables real-time, community-driven creativity with fast finality and efficient data availability. The Cartesi Virtual Machine powers the dApp’s backend, allowing developers to build using familiar tools like Python and SQLite. Espresso enhances the experience by speeding up drawing submissions to Rollups Input Contracts, which lowers transaction costs and boosts responsiveness – delivering a smoother, more interactive experience for users.

Check out DrawingCanvas.

2. Comet: A co-writing platform for shared stories

Comet builds community through the art of collaborative storytelling, enriching social bonds and encouraging creative expression. The dApp fosters a sense of shared creativity by offering a platform where users can co-write rhymes, poems, stories, and songs, which can be minted by collectors and monetized collectively. Profits are evenly distributed among all contributors, making the co-creation process fair and rewarding.

Comet implements its core logic in Javascript, made possible thanks to the programmability of the Cartesi Virtual Machine. This makes it easier to handle user data, define minting logic and build a leaderboard scoring algorithm, without incurring excessive on-chain computational costs. It also uses Deroll framework – a set of libraries that helps the development of JS/TS Cartesi applications, on the backend to manage assets with ease inside the app-chain.

Coupled with Espresso’s high-performance DA layer and fast finality, Comet’s co-creators can collaborate and mint seamlessly, receiving near-instant updates and confirmations as new entries are added. This is a major step forward in improving the user experience.

Check out Comet.

3. DCA.Monster: The dollar cost averaging DEX

By integrating dollar cost averaging (DCA) and other trading strategies, DCA.Monster empowers users with automated trading options in a decentralized, cost-effective environment. DCA.Monster combines advanced dollar cost averaging with innovative programmable orders. The platform’s Stream Swap feature sources liquidity from existing DEXs, lending protocols, and yield generators, offering flexible trading and liquidity management across EVM-compatible blockchains.

DCA.Monster combines Cartesi and Espresso to deliver a seamless, cost-effective trading experience with advanced functionality. Running on Cartesi Rollups, DCA.Monster’s trading algorithms – implemented in Python – provides high computational power without high costs. Espresso enhances this setup with fast pre-confirmations and sets the stage for future liquidity sharing across Cartesi rollups, creating a more responsive and efficient platform for decentralized trading.

Check out DCA.Monster.

The year ahead

This Cartesi x Espresso integration goes beyond tech – it’s a commitment to building composable, user-centered, and scalable dApps. As Cartesi explores deeper integration within the Espresso ecosystem, this partnership will continue to evolve, driving interoperability, expanding resources for developers, and delivering dApps that match the usability of web2 applications.

With an initial deployment on Espresso’s Decaf testnet, Cartesi appchains have a unique chance to refine new capabilities before full-scale mainnet rollout. Together, Cartesi and Espresso are proving that web3 applications can be innovative, intuitive, and truly functional.

Explore the Cartesi Rollup Lab.


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