PH Deck

Users experience difficulty in constructing a decentralized finance (DeFi) portfolio that aligns with their risk tolerance and blockchain activity. This is compounded by the complex nature of DeFi investments, leading to difficulty assessing risk and selecting suitable investments.

Educators often spend excessive amounts of time preparing engaging and effective learning activities, which detracts from their ability to focus on teaching and interacting with students. The drawback is the significant time investment required in creating custom activities.

Car dealerships and auto sales teams rely on manual sales processes and basic CRM tools, leading to inefficient lead follow-ups, delayed decision-making due to lack of real-time insights, and lower revenue from missed opportunities.

Users currently use traditional methods for portfolio creation, leading to time-consuming updates and limited customization features. The old solutions often lack the ability to offer dynamic interaction, like AI Resume Chat, and are restricted in functionality.

ABAP developers manually review and secure SAP code, which is time-consuming and error-prone, leading to prolonged development cycles and potential security risks.

Users rely on multiple fragmented tools for tasks like chatting, writing, coding, and planning, leading to inefficiency and workflow disruptions.

Users struggle with efficient coding in Visual Studio Code, requiring better tools for code completion, assistance, and documentation generation, leading to inefficiencies.

Database administrators and SQL developers manually write and troubleshoot complex SQL queries, which is time-consuming and error-prone.

E-commerce customers often struggle to find personalized recommendations that suit their unique preferences and needs, leading to a less satisfying shopping experience. They also face issues with timely updates on their orders and may encounter complex problems that require human intervention, which is not always readily available. The drawbacks include lack of personalized recommendations, delays in order updates, and inefficient resolution of complex problems.

Job seekers manually tailor each application to match job descriptions, which is time-consuming and often ineffective due to generic content and misalignment with employer requirements.