ZKsync Unveils 2025 Roadmap: Revolutionary Goals for Speed and Affordability

ZKsync Unveils 2025 Roadmap: ZKsync Aims to Bridge Web2 and Web3 with Elastic, Scalable Blockchain Tools

ZKsync has set lofty targets to cut transaction fees to as low as $0.0001 by 2025 and surpass 10,000 transactions per second (TPS). According to a 2025 roadmap published in an X post on December 12, ZKsync wants to increase its performance to over 10,000 TPS and lower its transaction costs to $0.0001 in an effort to improve usability.

In order to establish ZKsync’s Elastic Network and ZK Stack as the go-to tools for blockchain developers, the roadmap details efforts to improve both. By the end of next year, ZKsync’s technology would be more attractive to builders if it could achieve above 10.000 TPS with $0.0001 median transaction fees for Ethereum-native ERC-20 tokens. The protocol’s main goals are to increase investors’ personal freedom and hasten the widespread acceptance of cryptocurrencies.

Today, Web2 builders are forced to make tradeoffs between Web3’s values and usability, often opting for centralized developer platforms. ZKsync’s answer is to create an elastic, cloud-like development environment without builders to choose between UX, performance, and security.

ZKsync

Inco Founder: Privacy Solutions Could Drive $1 Trillion into Crypto Markets

The widespread dearth of private states in Web3 discourages the majority of mainstream institutions from entering the decentralized finance (DeFi) arena. Remi Gai, the founder of Inco, believes that solutions based on confidential computing could boost institutional engagement and boost cryptocurrency liquidity. Gai stated during the 2024 FHE Summit that institutions value privacy.

Institutions are still having a hard time entering the space because everything is transparent. If you enable an experience similar to what they’re comfortable with in Web2, suddenly, this could bring more liquidity, use cases, bigger participants and money to enter the space.

Gai

Technologies for confidential computing offer financial companies a lot of opportunities. For instance, computations on encrypted data can be carried out without decrypting it due to fully homomorphic encryption (FHE) methods. As technology advances, Gai believes that confidential computing could open up the next $1 trillion in funding for the cryptocurrency industry.

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