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

OpenAI Build Week Community Hackathon - Sydney

lumaHosted on Luma

Fetched about 2 hours ago

Sunday, July 19, 2026

to Sunday, July 19, 2026

Artificial Intelligence

Event Type

in person

Join OpenAI Build Week in person at local hack nights, workshops, and meetups around the world to learn Codex, build alongside other developers, and take part in a global builder challenge. Here’s the hackathon you’ll still be talking about next year. We certainly have been (because we're still organising it). OpenAI's Build Week brings to you the Sydney edition of the much-loved HealthHack event! HealthHack brings clinicians, builders and optimists into the same room for one intense weekend of problem-solving. You’ll join doctors, nurses, data scientists, software engineers and students to prototype real solutions to real healthcare bottlenecks; then pitch them to leaders across health, tech and venture. Why join: Build something that matters: ship a working prototype with clinical feedback on tap.Get seen: finalist teams pitch to judges, investors and partners, with professional photos, video snippets and ongoing intros baked in.Level up fast: mentors and judges from health systems, startups and universities roll up sleeves to help you de-risk your idea.PRIZES!!! Whether you prefer the software, the hardware, or all sides of medical innovation, there is something for everyone in this hackathon. Who it’s for: Clinicians with a problem worth solving. Engineers and data scientists who want impact. Designers, product folks and students ready to learn by doing. If you care about safer, smarter, fairer care - you belong here.

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