Grass founder says network can’t keep up with AI data demand

Andrej Radonjic says the decentralized data network lacks enough compute as AI labs ask for more web data Grass has a problem most startups would love to have. According to founder Andrej Radonjic, the company does not have enough compute to keep up with how much data AI customers now want. Grass is a decentralized data network. The Grass Foundation operates it, and Wynd Labs, where Radonjic serves as CEO, handles most of the engineering. The concept is simple once you strip away the jargon. Regular people opt in to share their home internet connection. Grass then routes web data collection through those residential IP addresses instead of through corporate data centers. Many websites block or throttle traffic that obviously comes from data centers. Traffic from ordinary home connections tends to get through, which lets Grass gather public web data at a scale traditional scrapers struggle to match. As of mid-2026, the network counts more than 8 million active nodes. It has delivered more than 1 billion GB of public web data in total. At its peak, Grass reportedly scraped as much as 4 PB in a single day. The buyers are reportedly some of the biggest names in AI. Research on the proj...