Case Study: Polymarket achieves high-scale, low-latency prediction market performance with Alchemy

A Alchemy Case Study

Preview of the Polymarket Case Study

Polymarket cuts critical ingestion latency 2.5x with Alchemy

Polymarket, the world's largest onchain prediction market, faced the challenge of scaling its high-stakes platform, which required reliable infrastructure to handle massive traffic and transaction volume without costly downtime. After early attempts to manage their own nodes proved distracting and unreliable, they chose Alchemy as their infrastructure partner to ensure performance under pressure and allow their engineers to focus on product development.

Alchemy implemented a suite of custom technical solutions, including tuned transaction broadcasters and dedicated node fleets, to handle extreme scale, such as during the 2024 U.S. Presidential debates. The results were seamless, with Polymarket processing $3.3 billion in bets during the election period. Following the rollout of Alchemy's new Cortex infrastructure, Polymarket saw a 2.5x speed improvement in critical workflows and achieved 99.99% reliability, providing a snappier user experience for their global audience.


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