I sat down with Dewey and Igor from Function Space at ETHDenver to discuss how they're building something fundamentally different in prediction markets. They're not creating another venue like Polymarket or Kalshi. Instead, they're building the primitive layer underneath - enabling developers to create numerical range forecasting markets for anything from Tesla's quarterly revenue to Apple's iPhone sales. We explore why they believe prediction markets can become a superset of all financial instruments, the challenges of building in such a competitive space, and why being at the protocol level might be the smartest play. If you're interested in the infrastructure powering the next generation of prediction markets, this conversation reveals what's happening beneath the surface.

• [00:00] Function Space is building the primitive layer for prediction markets, not another venue• [02:00] The team's background from BankSA and their transition into prediction markets• [03:00] Function Space enables numerical range forecasting vs binary yes/no contracts• [06:00] The business model centers on native token demand for market resolution• [09:00] Emerging trends: Pre-ICO TGE markets and yield hedging for DeFi protocols• [13:00] Why building at the protocol level consolidates liquidity better than fragmented venues• [18:00] Prediction markets becoming primitives themselves - like Condo Finance using positions as collateral• [21:00] The challenge of being novel: communicating concepts that don't exist yet• [23:00] Prediction markets divorced from crypto cycles - volumes up even when crypto's down• [26:00] Actively seeking builders and advanced traders for their private trial program

Connect with FunctionSpace:

https://www.functionspace.dev/

https://x.com/functionspaceHQ

https://t.me/+pUEOlfRhHspiNmRl

Disclaimer:

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