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Cascadia AI Hackathon 2026

lumaHosted on Luma

Fetched about 5 hours ago

Saturday, May 30, 2026

to Saturday, May 30, 2026

Artificial IntelligenceSocial ImpactCloud

Event Type

in person

335

Participants

$1,000

Prize Pool

30

Est. Projects

Join your fellow devs for an epic hackathon where we'll be diving into what developers can build using AI, agents, skills and more! This is a hackathon for devs, by devs. You don't have to have experience building with AI, but you should be comfortable building software and apps. ☝️ Apply Now - Space is Limited ☝️ ​What to Expect We will have technical experts from several AI and dev tool companies that will help get you started building. There will be plenty of food & drinks and fun prizes for the for the best hacks that people come up with. Agenda 🗓️ May 29 5pm - doors open / pizza & drinks served6pm - kick-off, demos & team formation11pm - doors close 🗓️ May 30 9am - doors open / bagels & coffee1pm - submission deadline1:30pm - presentations3pm - prizes awarded4pm - hackathon ends4:30pm - 7:30pm - After Party by Vapi ​Prizes We will have TONS of prizes for the folks hacking, including: 🏆 1st place = $1,000 🏆 2nd place = $500 🏆 3rd place = $250 📦 Best use of Box = Xbox ​Sponsors Join Us! Please fill-out the application form completely, space is VERY limited. We will accept registrants on a rolling basis and get back to everyone by May 25. Judges Madhvi Sharma, Sr Engineering Manager, OracleSethu Raman, Madrona ​FAQ Can I join solo or do I need a team? Both! You can play single player or multi-player, with teams of up to 4 people.

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