Preview provides a discovery engine that surfaces content and products based on relevance tuned to each user’s personal “vibe.” By analyzing behavior and preferences, the platform delivers highly tailored recommendations, making it easier for users to find items that match their tastes. The service integrates with web and mobile experiences, allowing developers to embed personalized discovery directly into their applications.
Funding
Funding not disclosed
Founders
Product
Problem
Users often struggle to find online content that aligns with their unique tastes, spending excessive time sifting through generic recommendations that miss their personal preferences.
Solution
Preview provides a discovery engine that matches users with articles, videos, and other media based on an adaptive relevance algorithm tuned to each individual's vibe. The system continuously learns from user interactions to refine its suggestions, delivering a stream of content that feels personally curated. By focusing on relevance rather than broad popularity metrics, Preview streamlines the exploration process, helping users quickly discover material that resonates with them.
Target Audience
Preview is aimed at internet users who regularly consume digital media and seek a more efficient, personalized way to discover new content.
Features
- Adaptive relevance algorithm that updates recommendations in real time based on user behavior
- Personalized content feed that surfaces articles, videos, and media tailored to individual preferences
- Simple interface that presents curated results without requiring extensive filtering or manual search
- Continuous learning loop that improves recommendation accuracy as users engage with the platform