PH Deck

Developers building AI-driven applications spend significant time manually setting up frontend and backend infrastructure for RAG (Retrieval-Augmented Generation) systems, leading to slower development cycles and integration complexity.

Users seeking to understand and apply AI Retrieval Augmented Generation (RAG) face a lack of centralized resources and difficulty in keeping up with the latest developments and technical knowledge in the field, leading to fragmented learning experiences and potential gaps in understanding.

Users struggle to keep track and document the 'first times' or special milestones in life

Users find it challenging to organize and revisit memories based on different life stages

Developers and entrepreneurs often struggle with the initial setup for creating a SaaS platform, leading to loss of time and potential early technical debt. The main drawbacks are loss of time and potential early technical debt.

Users struggle with complex evaluation of RAG system quality, leading to inefficient identification of performance gaps and optimization opportunities.

Users face challenges with traditional book publishing methods, including high costs, limited creative control, and lengthy timelines.

Developers struggle to find high-quality frontend development resources in one centralized location.

Users need to manually share Markdown files through email or cloud storage, requiring recipients to have Markdown viewers. lack of instant sharing, no privacy controls, and no custom URLs

Developing a SaaS startup involves a heavy initial workload, including setting up infrastructure, authentication, and, various integrated components, which delays the launch and increases costs.

WordPress site owners struggle to answer visitor queries efficiently using manual methods or basic chatbots, leading to high response times and irrelevant answers due to inability to leverage existing content.