rohan kapur

the software for Backbone on the founding team: featured on Forbes, The Verge [9/10], TechCrunch, WIRED, etc. backed by Mr. Beast, Nadeshot, Marshmello, Ashton Kutcher / Guy O'Seary, Ludlow Ventures, and much more...
co-created the Winno app, featured as "App Of The Day" twice, and "Stand Up to Racism" by Apple
a visa primer: The Ultimate Guide To The E-2 Visa For International Student Founders
my band Full Volume Only: playing shows & recording records 🎸
a little DIY music studio in my old room & a skate pedal board. new room in the works :)
DMT.FYI: a fun educational web guide for the psychedelic DMT
the AI publication AYearOfAI.com (2016-2017): over 250k reads, referenced in A16Z's AI Playbook amongst research papers, books & university courses, including Stanford
CryptoBets: a decentralized blockchain betting platform, transacted ~$20k the Super Bowl & ~$15k for the FIFA World Cup Final. Featured: 1 2
Contra: a debate tool (no longer live); featured in Apple's Best New Apps and 20 Under 20 promotions
in high school performing my fav song Jesus of Suburbia by Green Day to 500 people with my best friends 🤘🏻
open source stuff and weekend hacks on my GitHub
Travelog: a businessman's travel tool (no longer live), featured in Apple's 20 Under 20 promotion + wrote a reflective piece on my journey creating it.
an app for IBO's 2012 conf; awarded a Certificate of Appreciation by IBO's Director-General
an app about myself that got me a scholarship to Apple's WWDC 2013
a personal primer on Stanford admissions (I also have a lot of personal primers on creating apps, websites, backends, etc. so reach out to me if this is of interest to you)
a Keto guide after losing ~65 lbs on the diet in 2017 🍖
IDEA Hacks: an all ages hackathon in Singapore @ Hack Club, a maker community I founded in my high school
a digital postcard service for SingPost, driver safety features for Grab, and content editing tools for EagerPanda
two talks at the Geekcamp.SG conference (one on iOS dev, one on virtual autonomous cars)
a research paper comparing machine learning optimization methods