WePlay
When the WePlay team came to us, they weren’t trying to build “just another PWA.”
They wanted something bold: a platform that could understand a listener’s music taste on Spotify and instantly translate it into the kind of short-form videos they’d enjoy on TikTok and Instagram.
A simple idea on paper.
A complex engineering challenge in reality.
But exactly the kind of challenge Capital Compute loves, whether it’s a startup concept, a boutique engineering idea, or a studio-grade product that needs a custom backend.
The vision was clear:
“If a user loves a certain artist or mood on Spotify, why should their video recommendations feel random?”
WePlay wanted a bridge
between audio preferences and visual discovery,
between the music you vibe with and the creators you’d connect with, and
between a user’s streaming identity and their social video journey.
And that’s what we built together.
Unlike typical PWAs, WePlay had four tricky layers:
Making everything work offline so even users in low-connectivity zones could browse smoothly.
This case study highlights how Capital Compute built WePlay, a unique fusion of music and social video recommendations, powered by data extraction and seamless social media integration.
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