SparkChain AI TGE looms in Q2, with Spark Points to determine airdrop allocations
SparkChain AI is likely set to hold its TGE this month, with Spark Points determining airdrop allocations.
On May 30, SparkChain AI, a DePin project that lets users share their unused internet bandwidth for rewards, teased a major upcoming event. Although they didn’t disclose the specifics, several indicators suggest that the event is likely the TGE for the SPARK token.
First, the project’s official roadmap clearly states that the TGE is scheduled for Q2 this year, which concludes at the end of June. Second, Epoch 3 ends tomorrow, signaling a potential cutoff point for activity-based rewards and possibly marking the final snapshot of Spark Points before token distribution.
Spark Points are earned primarily by running the Spark desktop node, which utilizes unused internet bandwidth for web data scraping. Users also gain points through a multi-level referral system that rewards them with a percentage of referred users’ uptime.
Spark Points help determine how many SPARK tokens users are eligible to receive. Additional factors, such as how users’ bandwidth is utilized and their geographic location, also influence final token allocations.
SparkChain AI announced its launch on Jan. 6 this year, introducing itself as a decentralized data infrastructure platform designed to address the underutilization of internet bandwidth and the growing need for structured, high-quality data to fuel AI.
Ahead of the official launch, SparkChain began laying the groundwork for its ecosystem in late 2024. During the fourth quarter of 2024, the team rolled out the Spark Desktop App, which allows users to share their unused internet bandwidth with the network in return for Spark Points.
Alongside bandwith sharing, SparkChain’s infrastructure was designed to continuously transform unstructured web data into structured, actionable datasets. These datasets are made available for developers and organizations to use in AI, analytics, and research, creating a self-sustaining data economy.
