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Double5th

Double5th provides a universal API that unifies access to personal data across 50+ consumer platforms, including YouTube, Amazon, Spotify, and Netflix. Developers integrate once using a single SDK to access consistent endpoints and data formats, with users granting read-only, permissioned access directly to each platform. The platform also offers pre-built analytics and aggregations to surface user preferences without requiring raw data processing.

Traction –/10
HQ unknown
  • Developer Tools
  • Software Only
  • Data & Analytics
Updated 8 days ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Developers building personalized experiences face significant friction when integrating with multiple consumer platforms, as each service has its own API, authentication flow, and data format. This fragmentation forces engineering teams to build and maintain numerous custom integrations, slowing development and limiting the scope of data-driven features they can offer users.

Solution

Kernel provides a universal API that unifies access to personal data across 50+ platforms, including YouTube, Amazon, Spotify, and Netflix. Developers integrate once using a single SDK and gain consistent endpoints and data formats across all supported services. Users authenticate directly with each platform, granting read-only, permissioned access to their data. The platform also offers pre-built analytics and aggregations, allowing developers to understand user preferences without processing raw data themselves.

Target Audience

Primary customers are software developers and product teams building consumer applications that require access to users' personal data across multiple platforms to deliver personalized experiences.

Features

  • Single unified API covering 50+ platforms with consistent endpoints and data formats
  • User-permissioned OAuth-style authentication where users grant read-only access directly to each platform
  • Historical data retrieval spanning years, including watch history, purchase records, and listening habits
  • Pre-built insights and aggregations that surface user preferences without requiring raw data processing
  • Simple SDK designed for developer experience, reducing integration complexity to near zero
This profile is AI-generated and may contain inaccuracies.