Throne Founders Exit Creator Economy to Launch $500 Million AI Energy Startup TAR

Leonhard Soenke and Patrice Becker, the founders of the influencer wishlist platform Throne, have pivoted away from the creator economy to launch a new energy startup called Transformative American Resources (TAR). The move highlights a shift in founder interest as the creator economy matures and becomes increasingly crowded, leading entrepreneurs toward the high-growth AI infrastructure sector. TAR recently secured a $27 million seed round at a $500 million valuation to address the power bottlenecks currently facing massive data centers.

Leonhard Soenke and Patrice Becker founded Throne in 2021, a startup that allowed influencers to create wishlists for fans to purchase gifts. After scaling the company into a large organization with major vendor partnerships and integrations with Amazon, the founders decided to step back, citing a desire to tackle more "spiky" and impactful problems outside the now-matured creator economy. The transition took approximately six months, with the duo handing daily operations to long-term team members while Soenke remains available for technical support via Slack.

Their new venture, TAR (Transformative American Resources), is an energy startup focused on making data center power more efficient to support the growing AI infrastructure stack. The company recently raised $27 million in seed funding at a $500 million valuation from an undisclosed strategic investor. Based in Austin, Texas, with an engineering office in San Francisco, TAR aims to reduce "time-to-token" by deploying modular, behind-the-meter energy systems that utilize a mix of solar, wind, batteries, and natural gas.

Soenke noted that while building a software platform like Throne required different skills, the problem-solving nature of the work remains transferable. However, TAR represents a significant shift toward capital-expenditure-intensive operations, involving heavy equipment procurement, warehouse construction, and land development. This pivot reflects a broader trend of tech talent moving toward the physical infrastructure required for AI, as Soenke believes chips and power will become more acute bottlenecks as AI models permeate society.