I’ve been asked a few times what exactly piques my interest in prediction markets. beyond the established players, what interests me most are the projects experimenting with different parts of what prediction markets could become, from product direction and new market n liquidity structures to their gtm and consumer penetration. going into a new week, these are five I’ll be spending a lot of my research time digging deeper into: @functionspaceHQ is rethinking the usual binary structure with continuous markets, allowing different views across a range of possible outcomes. @rocketmarketsfi is taking another angle entirely: time. instead of only asking whether something happens, the market is built around when it happens. I’m particularly curious about how the liquidity design underneath it makes that mechanic work. @Trueo_ sent me down a different rabbit hole. As markets become more expressive, everything we make tradable still has to be credibly resolved, and their approach to oracles and dispute resolution is something I want to understand much better. @azuroprotocol sits at a different layer. rather than another prediction market frontend, it provides infrastructure that products like Rocket Markets can build on. I’m interested in what that layer looks like today and what it could become as more prediction apps experiment with new market structures. and then there’s @ifmarkets, which I’ve spent considerably more time using, thinking about and giving feedback on. the idea of trading an event’s impact on an asset rather than only the probability of the event itself opens up a completely different product direction, and there’s a lot there I still want to explore. I understand some of these much better than others right now, and that’s partly the point. plenty of questions going into the week, and hopefully fewer by the end of it. gm to you <3