functionSPACE
@functionspaceHQ
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Public belief primitives for developers. Coming Soon.
Joined May 2025
We’re opening early access to functionSPACE. A protocol for belief-based markets. No venues. No LPs. No oracles to manage. Any app can embed prediction features. We’re interviewing traders, builders, thought leaders and operators now. Early access is live → In comments
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prediction markets could make real estate way easier to understand. instead of waiting months for reports or listening to experts argue on tv, people can just look at what the market thinks right now about home prices, rents, interest rates, or housing policy. example: say
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🎙️ Overtime Club x functionSPACE Join us and @functionspaceHQ to discuss: 🔹 What is functionSPACE? 🔹 Betting on Curves 🔹 The future of onchain data 🎁 $100 in Prizes for live listeners 🦁 Club Parlay with our guest 🗓️ Dec 18 @ 7pm UTC 👇 https://t.co/R9FUNc0MdM
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a few projects with new primitives that really stand out to me atm: > @butterygg: conditional markets done right instead of "yes / no," you can chain logic. example: "yes if btc > $80k AND rates get cut." you’re not betting an outcome, you’re betting a scenario tree. >
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Opportunities begin again when new markets and assets are brought onchain. Things may feel bleak now but there are many builders introducing new designs, especially within prediction markets: - conditional markets @butterygg - distribution markets @TideMarkets @trepa_io
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Join our CEO and protocol architect @tomfunction talk all things prediction markets.
Prediction markets are entering a new phase. Join our live video stream “Prediction Markets Supercycle” this Tue, Dec 16 at 6:00 PM GST, powered by Hack Seasons. Speakers: probabilitygod ( @probabilitygod ), Prediction Market Trader at @vatic_trading Tom ( @tomfunction ), CEO at
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by re-architecting the underlying mechanism from the ground up, we achieve true economic composability; the ability to create highly expressive curves to represent a trader's true belief. the examples below illustrate only a fraction of what functionSPACE supports ⬇️
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everyone talks about how binary prediction markets struggle with liquidity, but the real issue is structural. binary PMs are a loss making trading surface for exactly the reasons @luishXYZ called out. one side always goes to zero, jumps are instant, insiders eat passive
Liquidity on prediction markets is horrible. The reason: There is little algorithmic market making. It's responsible for 99% of liquidity in the crypto and stock markets, but barely exists for prediction markets. Here are 3 reasons why MMing on Polymarket is a fool's errand:
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November ’25 was pure mania nearly $10B traded in november and now we’re watching the sector split into real product-market-fit verticals 1) infra is scaling quietly. @Polymarket shipped 38k+ markets in Q4, hit $3.74B monthly volume, introduced MetaMask-native flows, and
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saw an awesome demo yesterday with the .@functionspaceHQ team keep this in mind as it will be a big narrative for 2026 and quite possibly a direct evolution of current prediction markets with distributions, the market doesn’t just tell you yes/no odds it tells you: • skew •
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Agreed. Prediction markets will convert fragmented narratives into probability-weighted inputs for real financial models. In contrast, @functionspaceHQ will convert discretized and fragmented binary markets into a single continuous probability surface backed by unified liquidity
Prediction markets on securities will take the space from a $100B curiosity to a $1T asset class. Earnings markets require SEC + CFTC coordination. The first joint roundtable happened last month with @mansourtarek_ sitting aside the CEOs of NYSE, NASDAQ, CME, and CBOE. Traders
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here are some of my top prediction-market primitives to watch in 2026, some of the projects pushing the space past simple binaries: > distribution markets (@functionspaceHQ) builds "public belief primitives" for developers, enabling prediction markets on full probability
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