The mobile application for the Community-Focused Microclimate-Informed Indoor Heat Emergency Alert (CommHEAT) system forecasts indoor temperatures and heat indices for the next seven days for users and their “community” friends. The primary challenge in the mobile application development was creating a system that connected external weather data sources, an indoor temperature simulation (EnergyPlus) that requires High Performance Computing (HPC), and a web-based database. Python scripts were used to retrieve input data from external weather websites (e.g., Mesonet and the National Weather Service) and empirical data for dwelling “archetypes” from spreadsheets, run simulations, and export the results to a MySQL database created for the system. The mobile application was created with Unity and forecast information was extracted from the database using C# and web-based PHP scripts for security. Interdisciplinary rhetoric challenges and mid-development requests for additional application features caused numerous modifications and replacements of methods to create the required mobile application features. Despite these challenges, the development team successfully connected each component of the CommHEAT system and delivered a fully functional application that was deployed to iOS and Android mobile phones for a user study conducted in the summer of 2025.