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Browser.dating
Dating site matching people by their browsing history
Browser ExtensionsDatingArtificial Intelligence
2025-06-03
58 likes

Product Introduction

  1. Browser.dating is an AI-powered dating platform that matches users based on analyzed patterns in their browser history. It processes browsing data such as visited domains, timestamps, and frequency of site visits to identify compatibility between individuals. The platform operates as a web service with browser extensions for Chrome and Firefox to export user history securely.
  2. The core value lies in creating meaningful connections through shared digital behaviors rather than superficial profile details. It prioritizes privacy by processing data locally on dedicated GPUs and excluding private/incognito browsing activity. The service aims to redefine online dating by leveraging objective metrics derived from users’ actual web interactions.

Main Features

  1. The platform provides browser extensions for Chrome and Firefox that export and encrypt browsing history locally before upload. Users can export up to 12 months of history data, which includes domain names, visit counts, and timestamps while excluding private browsing sessions. The encrypted files are decrypted only during server-side processing for matching.
  2. An AI algorithm analyzes browsing patterns using natural language processing to categorize interests and identify compatibility metrics. The system compares factors like domain similarity, activity timelines, and topic clusters across users’ histories. Matches receive AI-generated conversation starters and compatibility explanations based on shared browsing behaviors.
  3. Privacy-focused infrastructure ensures data remains anonymized, with browsing histories never directly shared between users. Processing occurs on isolated GPU servers that purge data after generating match profiles. Users can delete uploaded history permanently through dashboard controls, complying with GDPR standards.

Problems Solved

  1. Traditional dating platforms often rely on self-reported preferences that may not reflect genuine user interests. Browser.dating addresses this by using verifiable behavioral data from browsing patterns, reducing mismatches caused by inaccurate profile claims. The system filters out inactive or mismatched users through continuous history updates.
  2. The service targets privacy-conscious singles aged 18-35 who value data-driven matching over conventional swiping mechanisms. It particularly appeals to tech professionals, researchers, and niche community members whose online activities strongly reflect their personalities.
  3. Typical use cases include academics seeking partners with overlapping research interests, hobbyists connecting through specialized forum activity, and remote workers looking for compatible lifestyles based on productivity app usage patterns. The platform also serves users fatigued by algorithmically manipulated match systems on mainstream apps.

Unique Advantages

  1. Unlike competitors using social media integrations or questionnaires, Browser.dating derives insights directly from unedited browsing data. This eliminates self-presentation biases and provides a continuously updated compatibility metric as users upload new history.
  2. The platform innovates with real-time GPU-accelerated processing that analyzes histories within 2-3 minutes post-upload. Dedicated servers running PyTorch models enable scalable matching while maintaining energy efficiency, with public GPU stats displaying wattage usage and carbon impact.
  3. Competitive advantages include a lifetime premium tier with pay-what-you-want pricing starting at €9, eliminating subscription models. The absence of third-party ads and optional country-specific matching further differentiates it from ad-driven global dating platforms.

Frequently Asked Questions (FAQ)

  1. How does Browser.dating protect my privacy? All history processing occurs on isolated GPU servers that discard raw data after analysis, retaining only domain frequency metrics for matching. Private browsing data is excluded by design, and users maintain full deletion rights through their account dashboard.
  2. What browsing data is used for matching? The system extracts domain names, visit counts, and timestamps while ignoring specific page content, cookies, or form inputs. Data is anonymized before algorithmic processing, with no access to user credentials or browsing session details.
  3. How does the AI matching algorithm work? A neural network trained on domain classification identifies interest clusters using NLP-based topic modeling. Compatibility scores weight factors like domain overlap percentage, synchronized active hours, and complementary browsing patterns across educational/commercial sites.
  4. What benefits does the Premium tier provide? Premium removes match limits, disables promotional ads for Dries Depoorter’s projects, and unlocks advanced metrics like browsing personality analyses. Users gain lifetime access without recurring fees and priority support for history processing.
  5. Does incognito mode browsing affect matches? No, the system automatically excludes all private browsing sessions from exported history files. Only standard mode activity from the past 12 months is processed, ensuring sensitive searches remain unrecorded in match calculations.

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Dating site matching people by their browsing history | ProductCool