PH Deck

Users are vulnerable to unwanted tracking and profiling on the internet due to browser fingerprinting techniques like Canvas, WebGL, Font, and AudioContext fingerprinting. These techniques anonymously identify and track users across websites without their consent, leading to privacy breaches and unwanted tracking and profiling.

Users are vulnerable to malicious websites and phishing attacks while browsing, relying on traditional antivirus software or basic browser security features. Traditional antivirus software or basic browser security often lack real-time updates, comprehensive threat intelligence, and browser-specific protection, leaving users exposed to evolving threats.

Users deploy and manage browsers manually for testing or automation, which is time-consuming and difficult to scale due to hardware limitations and inconsistent environments.

Users need browser automation for AI agents but face challenges with navigate sites, fill out forms, extract information, track status, and fetch results using existing tools, which may lack AI optimization, ease of integration, or specific agent-focused features.

Users experience slow performance and high resource usage with traditional browsers like Chrome or Firefox slow performance and high resource usage. Additionally, they face privacy concerns due to data tracking and lack of transparency privacy concerns due to data tracking

Users struggle with mainstream iOS web browsers that often lack personalization, comprehensive ad-blocking, and tracking protection, leading to a less private and customizable browsing experience.

Users need to manually create 8-second looping videos for Spotify Canvas, requiring precise editing skills and alignment with Spotify’s technical specifications. Time-consuming manual editing and difficulty meeting Spotify’s specifications are key drawbacks.

Users need to manually switch between different browsers or use multiple extensions to access AI tools, leading to inefficiency, fragmented workflows, and potential security risks when handling authenticated services.

Users are at risk of data theft, leaks, and unauthorized access with the current solution.

Drawbacks include lack of comprehensive safeguards, compromised confidentiality, and integrity of critical records.

Users struggle with web scraping due to CAPTCHAs, antibot issues, and requiring human supervision for tasks, leading to inefficiencies and data extraction limitations.