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Built Young Teen Vibe Code Hackathon — Toronto

lumaHosted on Luma

Fetched about 2 hours ago

Sunday, July 12, 2026

to Sunday, July 12, 2026

Artificial Intelligence

Event Type

in person

45

Participants

4

Est. Projects

Ages 12–18 · Spots limited to 50 One of Toronto's first vibe coding hackathons built for teens. In four hours, you'll learn to build real digital products using AI — no coding experience needed. We'll start with a hands-on workshop, then you'll team up to build and pitch your own app from scratch. By 5 PM, you'll have a live product and a pitch to show for it. What you'll do: Learn to vibe code — a guided workshop where you build your first AI-powered app liveTeam up — join a crew of 4–5 builders and pick a problem to solveBuild your idea — turn a real problem into a working app in one sprintPitch it — present your product to the room and our judges Four themes to build around: School & Study · Family & Home · Friends & Community · Creator & Side Hustle What to bring: a laptop, a charger, and one problem you wish someone would solve. No experience required. Just come ready to build. Spots are limited — register now to lock yours in. — About Built Young Built Young (builtyoung.org) is an AI and entrepreneurship program for teens aged 12–18. Our mission: help young builders create real ventures using AI tools before college. Through hands-on labs and live coaching, students learn to design, build, and launch products that matter — building before everyone else.

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