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Ted Hisokawa
May 31, 2025 03:42
BNB Chain’s AI Hackathon recognizes top projects, advancing three to Tier 3. Discover the latest advancements and insights on AI and blockchain innovations.
The BNB Chain’s AI Hackathon continues to push the boundaries of artificial intelligence and blockchain technology, recently advancing three projects from Tier 4 to Tier 3. This development highlights the hackathon’s role in fostering innovation and providing tiered rewards to promising projects, according to BNB Chain.
The latest batch of winners includes BINK AI, Botzilla, and Tokrio, all of which have made significant strides in their respective fields. BINK AI is pioneering a decentralized finance operating system that integrates AI-driven analytics, while Botzilla stands out as the first autonomous AI trader on the BNB Chain. Tokrio is enhancing trading strategies with its AI-powered trading assistant.
BINK AI’s recent achievements include over 17,000 installations of its BinkOS and the integration of staking with Lista DAO and KernelDAO. Botzilla has seen its market capitalization surge to $10 million, and Tokrio has launched an alpha version of its AI-powered DEX trading, receiving positive early feedback.
In the latest submission round, the hackathon received over 20 entries, selecting six standout projects as potential awardees for Tier 4. These projects, such as PlayAI Network and Idea Bar, are under continuous observation as they develop further and potentially climb the tiers.
The BNB AI Hackathon is open to AI projects launched on testnet or mainnet after February 12, 2025, offering opportunities for builders at any stage. Participants can benefit from bi-weekly evaluations, level-up rewards, and cash prizes, while also competing in sponsored challenges with over $540,000 in prizes available.
As the hackathon progresses, the BNB Chain community anticipates more groundbreaking developments in AI and blockchain, fostering an environment where innovation thrives and projects can reach new heights.
Image source: Shutterstock
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