Synternet, the blockchain innovator across networks like Ethereum (ETH) and Cosmos (ATOM), has launched its mainnet on the Cosmos network, per the latest information shared with Finbold on June 27.
This launch is expected to start a new chapter in the decentralized data economy and unlock Synternet’s SYNT token’s full potential.
The advantages of Synternet’s mainnet
With the mainnet launch, Synternet activates real monetary value for data in its ecosystem, enabling practical use of SYNT and advancing the Pikes Peak roadmap.
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This allows developers to build new applications using real-time, trustless data streams from all major chains.
With its flourishing ecosystem and extensive portfolio of projects, tools, and services, Cosmos offers Synternet a robust foundation for future growth.
The launch on Cosmos also brings lower gas fees and faster transactions, reinforcing Synternet’s commitment to democratizing data access.
Synternet CTO Jonas Simanavicius remarked on the significance of the launch, stating:
“The launch of Synternet’s mainnet on Cosmos is not just a technical milestone — it’s the beginning of a new era for the decentralized data economy. With $SYNT, we’re providing real utility, enabling users to pay for data services at reduced fees and fostering a more inclusive and efficient ecosystem.”
CEO Daniel Haudenschild further added:
“The mainnet launch is a key event for Synternet, signifying the realization of our vision for a decentralized data economy. With the $SYNT token now powering monetary value for data, we’ve created meaningful opportunities for developers and businesses. As we celebrate this milestone, we also look forward to the future growth and expansion outlined in our Pikes Peak roadmap.”
The SYNT token
Central to Synternet’s ecosystem is the SYNT token, which users can utilize to access and pay for real-time data streams from various publishers across multiple chains.
Synternet also offers token holders a staking mechanism, allowing them to vote on proposals and influence protocol upgrades, feature prioritization, and resource allocation.
