• Hackathon Radar
Hackathons
  • Browse
  • Judge Opportunities
  • Sponsors
  • Organizers
  • Map
  • Discover
Personal
  • Custom Views
  • Passport
  • Favorites
Explore
  • Stats
  • State of Hackathons
  • Changelog
  • Settings

Ara X Stanford: Build Your Own AI Business Hackathon

lumaHosted on Luma

Fetched 1 day ago

Saturday, May 9, 2026

to Saturday, May 9, 2026

Artificial Intelligence

Event Type

in person

Ready to build your AI business? We’re excited to visit 6 campuses this spring to host a hackathon series. With support from Ara (YC Y26), this one-day hackathon brings together students from all backgrounds to experiment, build, and imagine new possibilities with AI. This is your chance not just to learn about AI, but to actively shape how it can be used in creative and meaningful ways. One day. One challenge. Build your own AI personal computer or assistant. No fluff. No spectators. Just builders. 🧠 CS students → come build 📊 Non-technical → come get impressed by AI 🎓 Founders and researchers → come show your creativity No experience needed. Just curiosity. 🏆 PrizesOverall Winner: Scooters and credits Most Viral: Nintendo Switch and credits Most Technical: Nvidia Jetson Nano and credits 🍱 Winners also get lunch or office hours with the Ara CEO. 🗺️ Tour Schools ✅ Stanford (you are here) ✅ UPenn — Apr 12 ✅ Cornell — Apr 18 ✅ Johns Hopkins — Apr 19 🔜 SF — May 16 🔜 New York — May 23 We believe the next wave of builders will not just use AI. They will build with it. And they are already on campus. Come build with us. 🙌 Powered by MentorMates — submit your project, get feedback from mentors and judges, and manage your team.

Judge Accessibility

Organizer email available25/25
Student-run event15/15
Actively looking for judges25/25
Small event (120 participants)10/10
No corporate sponsors10/10
New or emerging organizer10/10
Public registration available5/5
Online format (judge from anywhere)10/10

Top signals

Organizer email available
Student-run event
Actively looking for judges

Organizers

Alex Johnson

alex@example.org

Jamie Rivera

jamie@example.org

Sam Chen

sam@example.org

Estimated Audience

Mostly Students
ExperienceStudent
OccupationStudents
Beginner Friendly
Women in Tech

Technical Focus

AI95%
Web80%
Mobile25%

Industries

Healthcare
Education
Climate

Technologies

Python
React
OpenAI

Why this estimate

  • • Hosted by a university
  • • Open to students
  • • MLH member event

Estimate inferred from event metadata, not actual attendee data.

Quality Score

Quality Score

72/100
High confidence
Organiser16/20
Event Maturity14/20
Sponsors18/25
Participants12/20
Operations12/15

Why this score

Strong organiser track record
Returning event
Well-sponsored

Missing data

Prize details
Code of conduct