PH Deck

Users often struggle to efficiently extract and summarize information from articles, PDFs, or videos, which leads to wasting time and struggling to keep up with relevant information.

Users face high costs and lack real-time feedback with traditional personal trainers or self-guided workouts. High cost of personal trainers and lack of real-time feedback are key drawbacks.

Users struggle with manually creating and maintaining personalized habits and face ineffective reminders that lead to inconsistent routines.

Users rely on non-professional opinions (e.g., partners) for makeup feedback, leading to repetitive requests and inconsistent guidance.

Currently, fitness enthusiasts often rely on traditional workout plans and logging methods that are time-intensive and lack personalized guidance. These methods often involve manually tracking workouts, researching exercises suited to individual needs, and regularly updating plans. The drawbacks of this old situation include: time-intensive manual logging, limited personalization, and lack of adaptive guidance based on progress.

Traditional financial analysis methods are time-consuming and costly. Users struggle with accessing and integrating real-time market data efficiently.

Traditional user test analysis is time-consuming and labor-intensive, often involving manual note-taking and analysis. This process can delay insights and reduce the efficiency in improving user experience.

Users rely on cloud-based AI assistants that require internet and store data externally. Privacy risks and lack of offline functionality are key drawbacks.

Users need to manually track multiple sources for AI news, leading to time-consuming and fragmented information gathering.

Users need to stay updated with real-time global news but struggle to keep up with rapidly evolving global news trends manually due to time constraints and information overload.