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Ara X NY: Build Your Own AI Computer Hackathon

lumaHosted on Luma

Fetched 1 day ago

Saturday, May 23, 2026

to Saturday, May 23, 2026

Artificial Intelligence

Event Type

in person

112

Participants

10

Est. Projects

Ready to build your AI computer? 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 creditsMost Viral: Nintendo Switch and creditsMost Technical: Nvidia Jetson Nano and credits 🍱 Winners also get lunch or office hours with the Ara CEO. 🗺️ Tour Schools✅ UPenn — Apr 12✅ Johns Hopkins — Apr 19 ✅ Cornell — Apr 18🔜 Stanford — May 9 🔜 UC Berkeley — May 16 🔜 NY — May 23 (you are here!) 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. 🙌 Hosted by DayDreamers — produce the best events and gather the right crowd.Powered by MentorMates — submit your project, get feedback from mentors and judges, and manage your team. Event page: mentormates.ai/events/aranjohnhopkins

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