Eric Liu (co-founder @totalistrading) explains how prediction market market makers can reduce required collateral for parlay tickets by computing worst-case portfolio exposure with integer linear programming instead of collateralizing each ticket in isolation. He walks through the ILP formulation, shows how it avoids the infeasible 2^n enumeration, and reports 10-80% collateral reduction from backtests against Totali's markets using HiGHS/scipy. The post argues this enables tighter quotes, deeper liquidity, and more expressive combo bets without sacrificing fully collateralized peer-to-peer settlement.

Builder's bullish case for a prediction market supercycle, written from the perspective of the founder behind Kreo (a Polymarket automation product). Argues the space is still early based on the absence of cult-like community formation compared to NFTs or meme-coins, nascent builders programs, and upcoming permissionless markets. Covers the gambling-vs-trading distinction, insider trading as both a problem and a signal source, and Polymarket's pricing edge over traditional sportsbooks on most events.

Bottoms-up TAM analysis arguing prediction markets can reach $85-200B annual volume by 2028 through sports betting capture (5-20%), event-driven financial hedging, and emerging categories. Covers five infrastructure challenges that must be solved: liquidity sustainability (subsidized MM transitioning to self-sustaining), discovery/UX, trade expressiveness (leverage faces gap risk unique to binary markets), permissionless market creation, and multi-tier oracle resolution. Identifies 2026 World Cup and midterms as critical stress tests.

Argues prediction markets are evolving a second layer analogous to derivatives built on stock exchanges. Covers three hedging use cases: crypto risk hedging via binary price markets, attention markets (Trendle) as sentiment hedges against binary positions, and cross-platform hedging enabled by DeFi composability (Gondor lending against PM positions, DFlow tokenizing Kalshi contracts as SPL tokens). Identifies liquidity fragmentation, execution risk, and UX as barriers to mainstream hedging adoption.

Argues Polymarket and Kalshi have achieved product-market fit but remain stuck at a local maxima. Identifies three barriers: insufficient liquidity (small trades can materially reprice markets), lack of competitive parity with sportsbooks on parlays, and inability to resolve complex outcomes like the Time Person of the Year market resolving to 'other'.

Grace Deng from SevenX Ventures compares prediction markets against sports betting incumbents like DraftKings across product, business model, and legal dimensions. Parlay complexity gives traditional sportsbooks a structural advantage that orderbook-based platforms cannot easily replicate. The article argues that convergence rather than replacement will define the next phase—hybrid models where PMs and sportsbooks interoperate.

Comprehensive taxonomy of 14 prediction market mechanism types beyond standard binary markets. Covers bonding curve markets, opinion markets (beauty contests), opportunity markets (private prices), hyperstition markets (self-fulfilling coordination), futarchy (MetaDAO), perpetual markets, quantum markets (capital-efficient parallel conditionals), and no-loss PMs. Each design optimizes for different goals: accuracy, speed, coordination, or outcome manifestation.

Identifies three characteristics successful prediction markets will focus on: high leverage (parlays, perps, intraday events), highly frequent markets (for retention), and high market outcome values (for capital attraction). Notes the prediction market wars have only begun.

Proposes 'covariance markets' as a solution to offering joint probability bets (parlays) without fragmenting liquidity. Instead of creating separate markets for all AND/OR combinations, a single covariance market between two base markets enables all 8 joint combinations while maintaining concentrated liquidity.