Hapnin
Events discovery platform.
The story
A production case study in turning messy, scattered events data from many sources into one clean, browsable feed. The identified problem was that it's hard for people to find or know about joints or fun activities and events going on in the city they are in, and information is very fragmented all across social media platforms and ticketing sites. Users end up finding about these events when it's too late. The solution was Hapnin. A platform that aggregates events data from all the fragmented sources and websites, and have them displayed all in one platform. The concept was for there to be something for everyone: personalized events showcased based on your tastes, whether you like sports, music, art...it's all there.
The concept
Backend cron jobs and webhook listeners sync and deduplicate event data from multiple source APIs into a canonical model, with AI-assisted normalization and trust labelling.
Gallery
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