Quick take:
- The funding also attracted angel investors, including Jordi Hays, Jackson Dahl, Justin Blau, Yu Hu, Dan Romero, Gaby Goldberg, Kain Warwick, and others.
- Noise’s attention market platform allows users to long and short contracts on trends, brands, and ideas – taking positions on where attention is headed.
- Prices combine real-time social data with trading activity, producing an objective measure of cultural relevance that updates continuously.
Noise, the attention market trading platform, has raised $7.1 million in a seed round led by Paradigm, with participation from Figment Capital and Anagram, as well as strategic investments from GSR, JPEG Trading, and KaitoAI.
The funding also attracted angel investors, including Jordi Hays, Jackson Dahl, Justin Blau, Yu Hu, Dan Romero, Gaby Goldberg, Kain Warwick, and others.
Unlike prediction markets, which allow users to predict on real-world event outcomes, Noise’s attention market platform allows users to long and short contracts on trends, brands, and ideas – taking positions on where attention is headed. Prices combine real-time social data with trading activity, producing an objective measure of cultural relevance that updates continuously.
Launched in 2025, Noise debuted its testnet in May, attracting 1,300 users, who traded across 14 attention markets tracking crypto narratives and brands. The platform reported a retention rate of 62% of first-month users, with sessions averaging 17 minutes.
The company plans to launch its mainnet on Base in the coming months, opening the platform to the public and allowing real money trading.
“Prediction markets proved their value in 2025. Polymarket and Kalshi reached $45 billion in combined volume on roughly 3,500 event contracts,” the company wrote in an announcement on its website.
“Noise asks a different kind of question: not whether something will happen, but how relevant it is right now and where that relevance is going. The answer is inherently continuous. These are decisions people already make with diffused information. Noise makes the underlying relevance legible and tradeable.”
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