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In a Losing Bear Market, Who Is Quietly Making a Fortune?

Amid a prolonged bear market where most crypto participants are losing money, a few projects continue to generate significant revenue. A closer look at Defillama’s revenue rankings reveals that profitable projects share simple and clear revenue models, primarily falling into two categories: spread income and transaction fees. Spread-based revenue models involve acting as capital intermediaries—absorbing funds at lower costs and deploying them at higher yields. Examples include stablecoin issuers like Tether and Circle, which earn from interest on reserve assets like U.S. Treasuries; lending protocols such as Aave, which profit from the spread between borrowing and deposit rates; and liquid staking services like Lido, which retain a portion of staking rewards as fees. Transaction fee models generate revenue by taxing activities like trading, token creation, or other on-chain actions. Platforms such as Hyperliquid and EdgeX (perpetual trading), Polymarket (event prediction), pump.fun and GMGN (meme trading), Aerodrome and Jupiter (spot trading), as well as Phantom (via swap fees) and NFT marketplaces like Courtyard and Fragment, all rely heavily on transaction fees. Notable exceptions include Grayscale (traditional asset management fees), Chainlink (oracle data service fees), and Titan Builder (which profited unusually from a large MEV capture incident). The key insight is that sustainable profitability in a bear market comes from straightforward revenue models combined with sophisticated product execution, liquidity management, and user engagement—not complex or high-risk strategies.

Odaily星球日报04/10 08:48

In a Losing Bear Market, Who Is Quietly Making a Fortune?

Odaily星球日报04/10 08:48

Domestic AI Booms: Zhipu's Market Cap Surpasses 430 Billion HKD, Mysterious Model Tops Text-to-Video Ranking

China's AI sector is experiencing a significant surge, with Zhipu AI's market capitalization exceeding HK$430 billion and a new model, HappyHorse-1.0, topping the text-to-video generation rankings. On April 9, Hong Kong and A-share AI stocks rallied strongly. Zhipu's shares rose 8.74%, and Xunce Technology surged over 24%. The A-share market saw similar gains, with the China Merchants AI ETF rising over 10%. The rally was fueled by two major catalysts. First, the anonymous model HappyHorse-1.0 topped the Artificial Analysis Video Arena leaderboard, surpassing ByteDance's Seedance 2.0. It generates synchronized video and audio from text in about 38 seconds. Second, Zhipu released its flagship model, GLM-5.1, which can autonomously perform complex software engineering tasks for 8 hours without human intervention. Notably, it was trained entirely on Huawei's Ascend 910B processors, a milestone for China's AI self-sufficiency. Industry experts note the rapid iteration of AI models, with new breakthroughs frequently appearing. While some market hype, the technical capabilities of these models are noteworthy. Zhipu also increased its API prices by 10%, signaling a shift from a growth-at-all-costs model to a focus on sustainable profitability and value creation. The industry is moving from a "technology race" to a "value co-creation" phase, entering an early stage of "order fulfillment and profit release." Paid services for top-tier models are in high demand, indicating the market is moving past the free user acquisition phase.

marsbit04/10 06:25

Domestic AI Booms: Zhipu's Market Cap Surpasses 430 Billion HKD, Mysterious Model Tops Text-to-Video Ranking

marsbit04/10 06:25

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