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GigCompare: Empowering Gig Workers with Earnings Transparency
Technology Category
- Infrastructure as a Service (IaaS) - Cloud Databases
- Platform as a Service (PaaS) - Application Development Platforms
Applicable Industries
- Cement
- Cities & Municipalities
Applicable Functions
- Product Research & Development
Use Cases
- Building Automation & Control
- Smart City Operations
The Challenge
The gig economy, encompassing services like Uber and delivery platforms like DoorDash and Instacart, has been growing rapidly. However, gig workers often struggle to understand their net hourly earnings, especially after accounting for expenses such as gas and vehicle depreciation. In many cities, gig workers earn less than the local minimum wage after expenses, and the COVID-19 pandemic has further driven down pay for many workers across various platforms. The primary challenge was the lack of a tool that could help gig workers estimate their hourly net earnings and compare them with other gig workers in their city.
About The Customer
GigCompare primarily serves gig workers who are part of the growing gig economy. These include drivers for ride-hail services like Uber and delivery personnel for platforms like DoorDash and Instacart. The app is particularly beneficial for these workers as it helps them understand their pay structure and compare their earnings with other gig workers in their city. By providing a clear estimate of hourly net earnings, GigCompare empowers gig workers to make informed decisions about their work and potentially negotiate better pay.
The Solution
GigCompare, an app developed by Charlie Kemp, addresses this challenge by making it easier for gig workers to estimate their hourly net earnings. The app requires gig workers to enter a few details from a recent pay statement, their city, and the app they work for. GigCompare then uses this information to calculate an hourly net earnings estimate using expense averages/benchmarks tracked in its database. Users can then compare their estimated hourly earnings against the minimum wage and GigCompare’s estimate of average gig worker earnings in their city. The app was built on Bubble, a no-code platform, which allowed Kemp to turn his design mockups into a functioning app in less than two weeks.
Operational Impact
Quantitative Benefit
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