PH Deck

Developers using traditional SSH clients face a lack of integrated tools for effective spatial computing, like command search, live-effect backgrounds, and resource monitoring.

BI teams rely on traditional spatial analytics tools which are slow in processing large-scale geospatial data and lack SQL-first workflows, leading to inefficient insights generation.

Users manually search, update, and manage files while running terminal commands without AI assistance, facing time-consuming workflows and limited automation capabilities for complex tasks like codebase exploration or video encoding

Users learning to code or interacting with the command line face a steep learning curve due to the need for memorizing complex commands, leading to frustration, inefficiency, and reliance on external documentation.

Creators juggle multiple tools for saving ideas, planning launches, and tracking income, leading to fragmented workflows and inefficient project management

Users trying to learn Linux commands for cybersecurity rely on static tutorials or textbooks, leading to ineffective retention and lack of hands-on practice.

Currently, users struggle with finding detailed information and accessibility for a wide range of computer terminals, which hampers easy access to important details and understanding necessary commands.

Enterprise decision-makers struggle to integrate and operationalize advanced analytics solutions that require years of implementation time and complex integration processes, leading to delayed insights and missed business opportunities.

Users need to create spatial videos and photo slideshows but rely on fragmented tools for 2D-to-3D conversion and editing, which require multiple software, lack on-device privacy, and produce less immersive content.

Users experience difficulties in researching design patterns and product flows for spatial apps across various XR headsets, causing inefficient use of time and potentially lack of quality in their own designs.