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Prediction markets have done a great job of answering one question:
โWhat does the market think will happen?โ
But that isnโt the only question that matters.
1. How do you organize research before taking a position?
2. How do you filter noise from useful information?
3. How do you turn dozens of signals into something you can actually act on?
These are the questions that have been on my mind as Iโve spent more time exploring the prediction market ecosystem.
Thatโs one of the reasons @Polysights caught my attention.
Rather than trying to become another prediction market, Polysights is focused on building tooling around the prediction market experience.
Its vision includes:
>> A Research Hub where contributors can publish market research and build reputation over time.
>> No code workflows designed to automate monitoring, alerts, and repetitive tasks.
>> Community-driven intelligence, allowing users to contribute insights and create a more collaborative research environment.
If that vision is executed well, it could make participating in prediction markets more structured and research-driven instead of relying on scattered information across different platforms.
What stands out to me is the broader direction.
As prediction markets continue to mature, I think the next wave of innovation wonโt just come from new markets but itโll come from the infrastructure surrounding them.
โข Better research.
โข Better tools.
โข Better workflows.
โข Better decision-making.
Whether Polysights ultimately becomes a key part of that ecosystem remains to be seen, but I think itโs one of the projects worth following if youโre interested in where prediction markets are heading.
Iโll definitely be watching how it develops.
What do you think prediction markets are still missing today?
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