Most of the world's information is quantitative: earnings, vote share, rainfall, benchmark scores.
Yet prediction markets reduce it all to yes or no.
functionSPACE lets you forecast the whole distribution.
Read more about it:
functionSPACE has raised $1.7M in pre-seed funding to build the economic primitive for pricing numerical outcomes, led by @Maven11Capital and @blockwall_vc with participation from @smape_capital.
@justigor What this fundamentally enables is for sophisticated users to express and trade the underlying differential whilst allowing simpler traders to take a binary bet... all within the same liquidity pool.
Advantage/economics of sharps vs squares here would be interesting.
made a website where you can join a team/syndicate, express your belief on a @functionspaceHQ distribution market, and have your belief PDF merged with your team's and paid out accordingly
We just launched a 2-week vibecoding competition on functionSPACE.
Grand Prize: 1 full year of Claude Code Max.
Here's why we're doing this, and why you should build something. 🧵
Building in functionSPACE means your traders can create their own ranges.
A cognitively simple evolution from the rigidly set ranges in prediction markets today.
@curiouscamilo@paradigm@Kalshi current prediction markets are too blunt, categorical binary betting is rudimentary. Checkout @functionspaceHQ for PDF trading on continuous outcomes
x → f(x)
@0xNairolf Ironically yes/no is also the biggest limitation of prediction markets.
Until we get continuous distributed outcomes, prediction markets will stay in the realm of gambling
Real world intelligence and forecasting requires more fidelity then just categorical betting
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