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Noise

Noise is a programmatic liquidity platform that transforms global narratives into new financial instruments. It provides efficient market mechanisms and real-time data to enable the trading of trends and narratives as assets.

Traction 10/10
Gurugram, India · HQ
Founded 201481250K+ followers
  • Data & Analytics
  • Applications
  • Blockchain & Cryptocurrency
  • Financial Technology
  • Software Only
Updated 11 months ago

Funding

Raised to date

$20MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

$7M across 1 disclosed round

AF

Incomplete round history. $13M of the $20M reported total isn’t matched to a known round.

Founders

1 founder

Gaurang Rathod

Sales Leader

Product

Problem

Current methods for tracking and trading on emerging trends lack real-time data and efficient market mechanisms, making it difficult for individuals to capitalize on fleeting opportunities. Existing platforms often rely on lagging indicators and lack the ability to translate social narratives into tradable assets.

Solution

Noise is a platform designed for discovering and trading trends by combining real-time attention data from top social media platforms with perpetual futures. The platform aims to provide a single application where users can gauge the mindshare of a trend based on global buying and selling activity. By pricing attention and modeling order flow, Noise seeks to offer a unique approach to consumer trading, enabling users to speculate on and profit from emerging narratives.

Target Audience

The primary target audience includes individuals interested in capitalizing on emerging trends, market enthusiasts, and those seeking to trade on real-time social sentiment.

Features

  • Real-time attention data aggregation from leading social media platforms
  • Perpetual futures contracts for trading on trends and narratives
  • Integrated platform for discovering, analyzing, and trading trends
  • Market mechanisms for pricing attention based on buying and selling activity
  • User interface designed to abstract complexity in consumer trading
  • Mobile application for iOS and Android
This profile is AI-generated and may contain inaccuracies.