- Based Streams launches on Hyperliquid, emphasizing on-chain payments and rewards.
- Platform supports decentralized content with HYPE token transactions.
- Ethena Labs backs the venture, noting potential market shifts.
Based Streams, a blockchain-based live streaming platform supported by Ethena Labs, launched on October 10, 2025, with operations managed on Hyperliquid’s infrastructure.
The launch introduces decentralized live streaming with on-chain payments, potentially transforming content delivery and monetization models within the crypto ecosystem.
Based Streams, a blockchain-based live streaming platform, has been officially launched on the Hyperliquid network. The platform is supported by Ethena Labs and aims to provide decentralized video broadcasting with on-chain payments using HYPE tokens.
The launch was led by the Hyperliquid core team alongside early streamer @LH_0302, who inaugurated the platform. Backed by Ethena Labs, the service emphasizes community-driven development and aims to enhance viewer engagement through on-chain rewards.
The launch marks a shift from traditional streaming models towards a fully decentralized and tokenized approach. It impacts industries by offering creators direct monetization methods, potentially disrupting advertising-heavy models.
Based Streams utilizes Hyperliquid’s existing infrastructure to process payments directly via HYPE tokens. This integration creates financial incentives for content creators and participants, streamlining operations without intermediaries.
Reports suggest the platform’s model could face regulatory scrutiny, especially concerning content monetization. The community requests improvements in wallet authentication, highlighting the importance of rapid iterations post-launch. Future updates may influence the ongoing development of DeFi-based streaming services.
Hyperliquid Team, Core Team, Hyperliquid, “We want Based Streams to deliver censorship-resistant content delivery and native monetization for creators, powered entirely by HYPE tokens and without algorithmic interference or ad dependence.”
