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The $50 Billion Opportunity

Prediction markets are exploding. In 2024 alone:
  • Polymarket processed over $3.5 billion in election markets
  • Kalshi became the first CFTC-regulated exchange for event contracts
  • Traditional finance is waking up to forecasting as an asset class
But there’s a problem hiding in plain sight.

The Fragmentation Problem

Market Fragmentation

Same Event, Different Prices

The prediction market landscape is fragmented across multiple platforms, each with:
  • Different user bases with asymmetric information
  • Different liquidity profiles creating price gaps
  • Different jurisdictions limiting who can trade where
  • Different interfaces requiring constant tab-switching
  • Real Example
  • Why It Matters
During the 2024 election cycle, we observed:
MarketPolymarketKalshiSpread
”Trump wins?“52.3¢55.1¢2.8¢
“Fed cuts rates?“67.0¢64.2¢2.8¢
“Bitcoin > $100k?“41.5¢38.9¢2.6¢
These aren’t edge cases—this is the norm.

Why No One Has Solved This

Building prediction market infrastructure is hard:
Polymarket uses a CLOB (Central Limit Order Book) with EIP-712 signatures. Kalshi uses a traditional REST API with different authentication. PredictIt has position limits and its own quirks.Integrating each one is months of work.
The same event appears as:
  • “Will Trump win the 2024 election?”
  • “Winner of 2024 Presidential Election: Trump”
  • “Donald Trump wins presidency 2024”
Simple string matching doesn’t work.
Platform A might resolve based on AP calling the race. Platform B might wait for official certification.Same market, different resolution timelines.
Different platforms operate in different jurisdictions. US users can’t access Polymarket directly. Kalshi is US-only.One solution doesn’t fit all.

How Matchr Solves It

1. Semantic Market Matching

We use AI embeddings (OpenAI’s text-embedding-3-small) to identify equivalent markets:
Polymarket: "Will Trump win the 2024 election?"
Kalshi:     "Winner of 2024 Presidential Election: Trump"

Similarity Score: 0.94 → High Confidence Match
Our matching engine:
  • Analyzes 10,000+ markets across platforms
  • Identifies 900+ matched pairs automatically
  • Flags edge cases for human review
  • Updates in real-time as new markets appear

2. Unified Trading Interface

One Wallet

Connect once, trade everywhere. No more managing multiple accounts.

One Orderbook

See aggregated depth across all platforms. Know where the liquidity is.

One Click

Execute on the best venue automatically. No manual price comparison.

One Portfolio

Track all positions across all platforms in a single view.

3. Smart Order Routing

When you place an order, Matchr:
  1. Checks prices across all matched venues
  2. Accounts for fees, slippage, and settlement differences
  3. Routes to the optimal execution venue
  4. Handles all the complexity behind the scenes
Order Routing

Smart order routing flow


The Vision

Today: Aggregation

  • Unified market view
  • Cross-platform price comparison
  • Single-venue execution (Polymarket)

Tomorrow: Smart Routing

  • Automatic best-price execution
  • Cross-venue arbitrage
  • Split orders across platforms

Future: Autonomous Markets

  • AI agents as market makers
  • Automated strategy deployment via vaults
  • Prediction markets as infrastructure for everything

Why Now?

Regulatory Clarity

The CFTC’s approval of Kalshi signals that event contracts are here to stay. More platforms will launch. Fragmentation will increase.

Institutional Interest

Hedge funds, family offices, and trading firms are entering prediction markets. They need infrastructure—not another retail app.

AI Revolution

LLMs can now analyze news, social sentiment, and market data in real-time. Prediction markets are the natural execution layer for AI insights.

Builder Attribution

Polymarket’s builder program enables third-party trading interfaces. The rails are in place. We’re just building the train.

Join the Future