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BTCS Leverages Aave for Enhanced Digital Asset Treasury Strategy

The post BTCS Leverages Aave for Enhanced Digital Asset Treasury Strategy appeared com. Darius Baruo Nov 08, 2025 20: 48 BTCS Inc. utilizes Aave’s onchain lending platform to efficiently manage its Digital Asset Treasury, bypassing traditional financial institutions with lower costs and greater flexibility. Nasdaq-listed company BTCS Inc., specializing in Ethereum infrastructure, has adopted a novel approach to financing its Digital Asset Treasury (DAT) strategy by leveraging the decentralized finance (DeFi) platform Aave. BTCS, which sought to expand its Ethereum (ETH) holdings and validator fleet, found traditional financial avenues, such as bank loans, to be inefficient and costly, according to Aave’s official blog. Challenges with Traditional Financing BTCS faced significant hurdles in securing working capital through conventional means. Institutional investors proposed unfavorable terms, while bank credit lines involved high interest rates ranging from 11% to 14% for middle-market borrowers. Additionally, the bureaucratic process and limited banking hours restricted BTCS’s ability to respond to the fast-paced, 24/7 blockchain market. The Aave Solution To overcome these challenges, BTCS turned to Aave’s onchain lending markets on Ethereum. This system provides BTCS with immediate access to liquidity and allows the company to maintain full control over its digital assets. BTCS benefits from significantly lower borrowing costs on Aave, with average rates of 5-6% on stablecoins as of September 2025. The platform’s 24/7 accessibility enables BTCS to borrow or repay funds at any time, thus aligning with the constant activity of crypto markets. Furthermore, Aave’s transparency and risk management features offer advantages over traditional centralized lending. Operational Strategy BTCS employs a strategic approach by depositing ETH as collateral on Aave, borrowing stablecoins like USDT or GHO, and converting them into additional ETH. This ETH is then staked to earn rewards, thus increasing BTCS’s.

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YZi Labs backs Funes to preserve humanity’s physical legacy

The post YZi Labs backs Funes to preserve humanity’s physical legacy appeared com. YZi Labs invested in Funes to preserve humanity’s physical legacy by funding a digital ark for global architecture. The initiative aims to safeguard crumbling monuments and modern sites alike in a high-fidelity, 3D format for future generations. Summary YZi Labs invested in Funes, a digital heritage platform preserving global architecture through 3D modeling. The funding will support Funes’ mission to create an open, AI-enhanced archive of ancient and modern structures. On Nov. 6, YZi Labs announced a strategic investment in Funes, a digital heritage platform constructing a massive, open archive of high-fidelity 3D architectural models. The move directly advances the venture firm’s core thesis of backing projects that sit at the convergence of AI, culture, and real-world data infrastructure. According to Dana H., an Investment Partner at YZi Labs, the initiative represents a “mission for humanity,” comparing Funes to a “GitHub for the physical world” where a global community can preserve and build upon detailed digital blueprints of culturally significant sites. “These digital models preserve architectural heritage while providing a foundation for others to study, modify, and build upon. This crowd-sourced digital museum reimagines how we remember and reinvent the spaces that shape us,” Dana H. said. Funes’ digital museum, YZi Labs’ cultural bet Per the announcement, the capital infusion from YZi Labs will be strategically deployed across three core pillars of the Funes operation. First, the funding will accelerate its global modeling initiative, expanding the systematic capture of comprehensive 3D data for both historic and modern structures. Second, it will fuel the development of a more seamless and interactive online platform, transforming the archive from a static repository into an explorable digital landscape. The third allocation is for AI integration, specifically to merge this vast real-world dataset with cutting-edge technologies such as 3D Gaussian Splatting and Radiance Fields. Funes’.