Modern dating apps often prioritize curated profiles over genuine compatibility, leading to superficial matches and mismatched expectations. One way to address this could be by leveraging users' browsing history—a more authentic, unfiltered record of their interests—to create meaningful connections while respecting privacy.

How It Could Work

The platform could analyze anonymized browsing habits (e.g., frequent visits to cooking blogs or travel forums) to identify shared interests. Instead of exposing raw data, users might opt into sharing broad interest categories like "science podcasts" or "vintage fashion." Matching could be tiered: free users might see basic overlaps (e.g., "both enjoy hiking"), while premium users could access deeper insights (e.g., "both read about sustainable architecture").

• Privacy-first design: Raw browsing data would never be shared; users control which tags are visible.
• Dynamic profiles: Unlike static bios, interests update automatically based on behavior.
• Niche appeal: Helps people with uncommon hobbies (e.g., astrophotography) find compatible matches.

Potential Advantages Over Existing Apps

Unlike Tinder’s reliance on manually selected Facebook likes or Hinge’s static prompts, this approach could passively capture nuanced, real-time interests. For example, it might reveal a lawyer who secretly reads manga—details often omitted from traditional profiles. OkCupid’s questionnaires require active effort and are prone to bias, whereas browsing data could offer a more organic reflection of preferences.

Execution Strategies

An MVP could start as a browser extension that anonymizes and categorizes browsing data, paired with a simple matching app. Early testing might focus on niche communities (e.g., book clubs) to refine interest tagging. If successful, the system could integrate with existing dating apps via APIs, adding compatibility scores to profiles. Monetization could include freemium tiers for detailed insights or partnerships with event organizers (e.g., suggesting concerts for matched users).

Key challenges—like privacy concerns or irrelevant browsing data—could be addressed through user controls (e.g., excluding work-related domains) and transparent design. The goal would be to balance authenticity with trust, offering a fresh alternative to performative dating norms.