The U.S. government issues 85,000 H1B employment visas annually to professionals seeking work in America, with applications often closing rapidly due to high demand. Leveraging machine learning and extensive historical data, a platform predicts the likelihood of employers sponsoring visas, aiding candidates in targeting suitable job applications. The service lists open positions from companies likely to sponsor visas, providing a competitive edge in the tech job market. Key strengths of the platform include global operational flexibility, a blog gaining traction with valuable keywords, and substantial social media engagement. It boasts over 70,000 mailing list subscribers and more than 30,000 Facebook likes, highlighting its growing influence in a lucrative market. The system is automation-driven, processing job opportunities daily. Opportunities for improvement are notable. These include integrating international payment solutions such as WeChat and Alipay, optimizing often neglected Facebook marketing and Google Adwords campaigns, and expanding through price testing and improved communication regarding payment failures. Additionally, the affiliate program and API remain underutilized, with no recent feature upgrades since the service's 2015 launch. Operational demands are minimal, with support and blog management requiring under two hours weekly. The customer base predominantly comprises recent tech graduates, half of whom are international, with marketing efforts through organic search, Google Adwords, and Facebook. Despite consistent low-cost operation, revenue is declining from a peak of $28,498 in 2016, attributed to reduced marketing efforts. The platform, built with Ruby on Rails and hosted on Heroku, requires new management to enhance and expand its offerings.