PH Deck

Users manually extract web data or use basic tools, facing high time consumption, frequent errors, and unstructured data challenges that hinder decision-making.

Users manually collect feedback through surveys or emails, leading to inefficient gathering and analysis of actionable insights from real customers.

The current situation of users involves manually tracking their earnings over time or relying on traditional financial tracking systems. Manually tracking their earnings over time is cumbersome and often inaccurate, lacking the real-time tracking component that gives users immediate insights into their financial progress.

Users manually calculate their income per second based on monthly salary, which is time-consuming and lacks real-time visibility into earnings during work hours.

Job seekers practice interviews alone or with non-professional peers, leading to missed improvement areas and inconsistent feedback

Users currently conducting A/B tests on e-commerce or SaaS platforms face challenges in gathering and analyzing data efficiently. This often involves manual processes and delayed insights, which hinders timely optimization.

Call center agents struggle to handle calls efficiently and to provide accurate information to the customers, resulting in long call times and decreased customer satisfaction.

Users need data from websites but struggle with coding or unreliable tools in the web scraping process.

Users rely on traditional video surveillance and analysis methods.

These old methods are often manual, slow, and lack real-time insights.

Drawbacks include limited ability to process large volumes of video data effectively, leading to slower response times and reduced security measures.

Users need efficient methods to extract data from websites, but they face challenges with traditional methods.