What is Noise?

Noise is a trading platform for relevance: who and what the internet is paying attention to. Users long and short contracts on trends, brands, and ideas. Trading activity produces prices, and those prices help produce an objective measure of cultural relevance.

Prices on Noise come from two signals: data and trading. The former works similar to Google Trends for social media. Noise aggregates mentions, interactions, and growth metrics from several platforms, including X, into a comparable metric on how much attention a trend is receiving. That data anchors the market as a reference point, not a direct price feed. Actual prices emerge from trading activity.

The result is a market that combines attention with forward-looking markets. Does that combination actually produce valuable information? The first tests came from crypto.

Paying Attention to Pump

Noise launched in partnership with KaitoAI to build attention markets for crypto. The beta app featured narratives like stablecoins and prediction markets, and brands like Polymarket and Pump Fun.

Pump provided the clearest signal of how attention markets can behave. When Hyperliquid launched Pump hyperps in July 2025, it marked the token's first price discovery event before TGE. Noise had listed Pump as an attention market two months earlier. For the first time, there was a financial market to compare against.

The two tracked each other closely. Attention sometimes led price, sometimes followed it, but the correlation held through rallies and pullbacks. This is a lead-lag relationship: two instruments pricing related information from different angles, with neither making the other redundant.

Looking Forward

The Pump data is specific to crypto, but the infrastructure is not. Anything the internet pays attention to can be measured and traded.

• A toy brand manager could hedge marketing spend against attention risk
• A fashion house could scout emerging talent by watching who rises on the leaderboard
• An investor could express their thesis on which AI lab is gaining the most cultural momentum

These are decisions people already make with diffused information. Noise makes that information tradeable.

Why it Matters

Prediction markets proved that binary questions can support substantial economic activity. Noise asks a different kind of question. Not whether something will happen, but how relevant something is right now, and where that relevance is going. The answer is inherently continuous. There is no expiration date, and no resolution event.

The core belief is simple: the shared interests of the internet are knowable and markets are the best way to reveal them. The result is a system that rewards users for calling trends correctly while producing information that cannot be found elsewhere.