PH Deck

Users rely on traditional key-value (KV) stores like Redis for data storage and retrieval in high-performance applications.

The drawbacks of these old solutions include limited speed and efficiency under heavy load and lack of persistence capabilities.

Users using Redis databases on Android face challenges in managing data effectively and efficiently.

Emergency care professionals currently rely on manual or fragmented documentation systems, leading to slow documentation processes, inefficient team coordination, and reduced time for patient care.

Users spend significant time creating podcasts from their research, leading to inefficiencies and delays.

Businesses struggle to build fast applications and scale efficiently

Users currently need to manually transcribe text from images or PDFs, which is time-consuming and prone to errors.

Content creators often struggle with managing their entire content creation process efficiently, leading to longer production times and decreased productivity. managing their entire content creation process efficiently

Gathering and acting on customer feedback can be a slow process with traditional survey tools, resulting in delayed insights and slower decision-making.

The current solution requires extensive resources to fine-tune large language models (LLMs). Users face limitations in performance speed and memory consumption when refining models such as DeepSeek, Llama 3, and others. These constraints hinder the efficient adaptation of LLMs for specific tasks, as traditional methods are resource-intensive and costly. The drawbacks include the need to allocate significant hardware resources and time, making LLM deployment impractical for smaller organizations or individual researchers.

Early-stage startup founders, product managers, and researchers struggle to accelerate customer discovery effectively. This often leads to slow product development and a mismatch between the product offered and customer needs.