Noise Labs raises $7.1M from Paradigm to build prediction markets for cultural relevance
Key Points
- Noise Labs raises $7.1M from Paradigm to build prediction markets where users can long or short cultural trends using social signals from Twitter, TikTok, and Reddit combined with market-based conviction scoring.
- The platform achieved 40% daily active usage among beta testers over the summer, with early adoption concentrated in crypto communities, signaling a Web3-first go-to-market before expansion to mainstream consumer brands.
- Noise's data shows indie rock rising for 18 months and ChatGPT still outpacing Claude globally, contradicting media narratives and positioning market signals as more manipulation-resistant than raw social volume.
Summary
Read full transcript →Noise Labs, a cultural prediction markets startup, has raised $7.1 million in a round led by Paradigm, with the company building a trading platform that lets users long or short trends, brands, and ideas anchored to social data.
The core thesis is that Google Trends captures roughly 20% of what actually drives cultural relevance today, with the rest distributed across TikTok, Instagram, and Twitter. Noise pulls from multiple sources and layers in market-based mechanics, so a trend's relevance score moves based on capital conviction, not just social volume. CEO Gabe frames this as a more manipulation-resistant signal than raw social data, though he concedes the bot-farming problem is not fully solved.
“The idea is to build this trading platform for relevance. Can we give users the ability to long or short trends, brands, ideas, and have these markets rooted to social data? When you combine the trading activity and the kinds of things you're seeing on Twitter or TikTok or Reddit, you end up with this objective measure of cultural relevance for different types of brands or trends.”
The platform was built in 2025 and launched a beta last summer. During that period, roughly 40% of invited users were logging in daily, predominantly to track niche crypto projects and sub-community trends. That retention pattern informed the product's pivot toward community formation around specific trends rather than broad cultural dashboards.
On current signals, Gabe points to indie rock music as a trend rising for the past 18 months that broader media has underweighted, attributing it to a broader return-to-in-person behavior. On the AI side, Noise data shows global engagement with ChatGPT still exceeding Claude despite Silicon Valley's heavy Claude narrative, a direct challenge to echo-chamber-driven consensus views.
The Paradigm backing is notable given the fund's crypto-native focus. Noise's early data partnerships with Kaido, which builds social graphs for the crypto industry, suggest the initial go-to-market is concentrated in Web3 before expanding to broader consumer and brand trend markets.
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