
use cases
Lyft's secret to smoother pickups and better, brighter rides
Lyft hired their first A.Team to improve and scale one of their most innovative products — Amp. The hardware lights up when drivers have a new ride request. For faster, easier pick-ups, it signals to the rider in their rider app the color to look for in their driver's amp. And it even welcomes riders by name, including a special message for holidays or events.
Daniel
iOS Developer
Matthew
iOS Developer
Jared
Back-End Developer
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Reducing fraud and spam for 130M+ users
Discord needed a team of data scientists and risk engineers to help the Safety Data Science team reduce fraud and spam. The vision was simple: use data science to make Discord a safer place by improving the efficacy and usage of our anti-abuse platform and by working on a home-grown tool to reduce spam and fraud. So they brought in two top builders from A.Team’s network. The result? A massive reduction in fraud which saved Discord millions of dollars.
Ron
Security Expert
Chetan
Risk & Compliance
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Scaling an app for a global media company with 1M+ daily users
The Economist, a global media company, hired an A.Team to grow their mobile app's daily users exponentially. They brought in two tech leads to help them build the roadmap and choose the right technology to scale. Their mobile app already had over one million daily users. They wanted builders who had built similar mobile apps before to help them prepare the architecture for scale.
Amr
Solution Architect
Cristian
Android Developer
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