PH Deck

Users seeking to develop automation or robotic systems face challenges with traditional solutions that require standalone controllers or complex programming environments which may not be intuitive or integrated.

Traditional solutions require standalone controllers or complex programming environments.

Managing large datasets of CPUs and finding relevant information on each CPU can be cumbersome due to inefficient or non-existent central databases. The drawbacks include the lack of detailed tables, inadequate filtering and sorting options for easy data management, and the absence of convenient data export functionalities such as CSV downloads.

PC users lack access to a high-quality calendar app with advanced features

Existing calendar apps for Windows lack natural language input functionality

Limited integration of tasks, weather information, and scheduling features in current Windows calendar applications

Users face difficulties with Windows computers becoming slow or encountering errors over time. Common issues include cluttered disk space, malware, and outdated drivers, which can lead to decreased performance.

diagnostics, cleaning, and performance checks often require multiple tools or expert knowledge, making the process cumbersome.

Users often juggle multiple app windows on their desktops, leading to cluttered screens and reduced productivity due to the difficulty in managing, moving, scaling, activating, minimizing, and maximizing these windows individually. Managing multiple app windows individually

Users often need to determine CPU and GPU compatibility for PC builds, encountering difficulties like inaccurate assessments and lack of optimization guidance. These challenges make it hard to get the best performance from hardware components, leading to poor PC performance.

Users need secure and reliable access to Windows devices and apps from remote locations, but traditional remote desktop solutions can be cumbersome, lack flexibility, and offer limited support for various devices.

Users struggle with slow processing times and limited AI functionalities in conventional PCs, which hinders productivity and prohibits the utilization of advanced AI models. slow processing times and limited AI functionalities.

Users manually track habits without personalized guidance using traditional apps, leading to lack of motivation and adaptive suggestions.

Developers often need to connect web-based LLM chats to their file systems but lack seamless integration.

Lack of efficiency and integration in the development workflow using traditional methods.