The Process
Wild Earth Technologies helps clients refine and develop apps and websites using a simplified version of the lean business model by following these steps:
- Identify the problem: The first step is to identify the problem that the app or website is trying to solve. What are the needs of the target users? What are their pain points?
- Develop a hypothesis: Once the problem has been identified, the next step is to develop a hypothesis about how the app or website can solve it. This hypothesis should be based on user research and feedback.
- Build a minimum viable product (MVP): An MVP is a basic version of the app or website that can be used to test the hypothesis. It should be developed quickly and cheaply, and it should be released to users as soon as possible.
- Get feedback from users: Once the MVP has been released, it is important to get feedback from users. This feedback can be used to improve the MVP and make it more useful for users.
- Iterate: The process of building, testing, and improving the MVP is repeated until the app or website is ready to be launched.
About the Founder
My strong commitment to our environment comes from growing up in the mountains.
I hope to use my background and skills in technology to inspire members of my community to live more sustainably. I am especially passionate about testing the limits of human powered transportation via swimming, biking, and running.
I received my degree in computer science from the University of Colorado. Since then I have used my technology skills to:
- Serve in the Peace Corps
- Stress test applications
- Build automated QA tests
- Create Android and iOS apps
- Develop GPS and mapping applications
- Support WordPress, Drupal, and custom websites
- Develop a market research platform
I specialize in the following technologies:
| JavaScript (Node.js) | |
| Firebase | |
| Go | Typescript |
| REST APIs | Dart / Flutter |
| Capacitor.js | Python |
| Docker / Kubernetes | Artificial Intelligence |
Google Cloud Platform | AWS |
| WordPress | Python / Data Analysis |
