Prediction market infrastructure.

Why now

Polymarket exposed the demand. The infra layer is open for vertical + niche markets.

What the signal looks like

Repos with market-creation libraries, oracle integrations, and settlement-engine frameworks.

Public examples

We name publicprojects + categories only, never founders we track inside the paid product. The buyer’s edge stays inside the product.

• Polymarket adjacency
• Kalshi
• Open-source prediction-market libraries

What this displaces

A Twitter poll + no liquidity.

How to validate it in an afternoon

Before committing build time or a thesis memo to prediction market infrastructure, run three cheap checks against public engineering activity. Each takes minutes and none require access to private data.

1. Count active builders. Search GitHub for repositories matching this category, then check how many accepted commits in the last 14 days. More than a handful of active teams means the category has energy, not just mentions.
2. Look for the trickle, one deal per quarter pattern in funding. If funded companies keep appearing here, few rounds land in this category in a given year, buyers are rare. Cross-check the web3 leaderboard to see whether any of the accelerators sit adjacent to this niche.
3. Test the team-sized build cost assumption honestly: only makes sense as a team bet, multiple quarters of salary before any revenue, the kind of project incumbents are better positioned to start. If your calendar cannot absorb that, the opportunity is real but not yours yet.

The weekly signal feed tracks 10 Web3 sub-niches including this one, so the cohort side of this check can run continuously instead of manually.

Common questions about this niche

Buyer?

Market operators + media + research firms.

Pricing?

% of volume.

Compliance?

CFTC + state gambling laws.