Rahul Bhandari

@bindra_dhruv @usygoosy @zamana_hq Excited for you bhai

This is why I’ve been hiding from the internet for 2 years…

Now, 13 million swipes later, it finally makes sense to train a custom built recommender Shipping fast isn’t always about coding fast, but sometimes building less

First time CTOs don’t realize that their lack of experience is their biggest strength At @styl_app’s inception, rather than spending months learning to build the perfect fashion recommender, I spent all my time shipping incrementally smarter MVPs with just an off the shelf model

Bro flew 3000 miles to stare Mongo charts all day

Update: Instead of timing work by hours, I’ve found it more productive to time it by the number of Fred Again boiler room sessions I’ve listened to.

If someone sees the @styl_app repo they might actually cry… It was my first react native project and some of the files are like 1900 lines. Spending the weekend migrating to tsx and cleaning it all up, debugging takes way too long 🤦‍♂️

In 2022, H&M offered $50k to anyone who could build a better fashion recommender. Over 3700 PhDs, research scientists and professors worked relentlessly to win. @10rbhandari and I are students @DukeU. This is the story of how we beat them all to create @styl_app🧵👇 pic.twitter.com/3dMmE7kYxu