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Gibberish - Mini Hackathon

lumaHosted on Luma

Fetched 1 day ago

Wednesday, May 27, 2026

to Thursday, May 28, 2026

•

3 hours long

Web DevelopmentMobile DevelopmentArtificial IntelligenceGame DevelopmentSocial Impact

Event Type

in person

Most people consume music. This room is for the people who want to shape what comes next. During Toronto Tech Week, we’re bringing together an intimate group of builders, developers, designers, creatives, and founders for a high energy mini hackathon exploring the future of music, interaction, and digital experiences. This is not a polished startup event. It’s a room built for experimentation, ambitious ideas, fast building, and meeting people who genuinely inspire you. We’re creating the kind of atmosphere where: • Ideas turn into prototypes in hours • Strangers become collaborators • Creativity and technology collide • The best conversations happen naturally • Everyone leaves feeling like they found their people Expect an evening full of building, collaboration, music, demos, creative energy, and some incredibly smart people in one room. Whether you’re technical, creative, or somewhere in between, this is your chance to build something exciting with people who care about where culture and technology are heading next. Limited spots. Curated room. Good energy only. Toronto Tech Week is a citywide celebration of the people building what’s next. From May 25–29, 2026, founders, investors, and builders come together for hundreds of community-led events across Toronto, connecting tens of thousands of people around Canadian tech. Torontotechweek.com

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