On-chain prediction market platform Probly has concluded its participation as a Gold Sponsor of TOKEN2049 Singapore and co-host of the WHALE3RA afterparty at MARQUEE Singapore. The platform showcased its infrastructure, which powers 5,100 events and 47,000 markets across sports, geopolitics, crypto, finance, economy, and politics.
Expanding On-Chain Event Coverage
During the event, Probly highlighted its underlying architecture built on TxFlow L1 using TxFlow Improvement Protocol 3 (TIP3). This infrastructure enables peer-to-peer trading with self-custodied USDC and automated TxFlow settlement without requiring a manual payout claim step.
The platform currently offers 172 active live markets for same-day trading, including high-frequency "Up or Down" rolling contracts for major assets such as BTC, ETH, SOL, and XRP. Probly co-hosted the WHALE3RA gathering alongside partners BloFin, TxFlow, and other Web3 ecosystem groups to connect with institutional funds, developers, and exchanges. As trading venues expand their prediction market offerings, Probly aims to transform real-world uncertainty into continuous pricing signals.
Key Event Takeaways
- Gold Sponsorship: Probly served as a Gold Sponsor at the TOKEN2049 conference in Singapore.
- Market Scale: Supports over 5,100 events, 47,000 markets, and 172 active live markets.
- Protocol Standard: Built via TxFlow Improvement Protocol 3 (TIP3) on TxFlow L1.
- Automated Settlement: Utilizes USDC with automatic payouts and no manual claim process.
Why It Matters
Prediction markets are rapidly evolving from niche speculative venues for major political elections into real-time analytical tools for everyday asset and event pricing. By combining high-frequency crypto price rolling markets with non-custodial USDC settlement on TxFlow L1, protocol developments like Probly lower friction for high-volume traders. If on-chain prediction infrastructure maintains zero-claim automated settlement without sacrificing liquidity, decentralized venues could capture substantial market share from traditional Web2 forecasting platforms.
