Is market timing everything? 📉➡️🚀
Jeff Yan, founder of Hyperliquid, recently opened up about the struggles of his prediction market project in 2018. He explained how, despite having a great product, 'product-market fit' and a bear market made user retention impossible.
This lesson is even more relevant today, especially as we enter the new era of AI + Crypto.
Why is the combination of AI and Crypto different?
Learning from past mistakes, today's AI-based projects rely not just on hype, but on 'utility.' Just as the market rejected prediction markets in 2018, today's market is hungry for AI agents and decentralized computing.
Currently emerging AI-Crypto narratives:
Decentralized AI Compute: Projects like $RENDER and $AKT are decentralizing GPU power for AI training.
AI Agents & Data: Projects like $FET (ASI Alliance) and $TAO are enabling communication and data sharing between AI autonomous agents.
Infrastructure for AI: Protocols like $NEAR are connecting AI's massive data needs with blockchain.
Key Takeaway:
Jeff Yan's experience teaches us that "the one who survives in a bear market becomes the leader in a bull market." Today's AI coins are not just a trend, but are laying the foundation for infrastructure. The only difference is that while user interest was low in 2018, the pace of AI adoption in 2026 has made it a necessity.
What do you think? Have existing AI-crypto projects achieved 'Product-Market Fit,' or are we looking at another major correction? Let us know in the comments! 👇
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