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Pop The Bubble Hackathon 🫧

lumaHosted on Luma

Fetched about 5 hours ago

Friday, June 5, 2026

to Sunday, June 7, 2026

•

2 days long

Web DevelopmentMobile DevelopmentArtificial IntelligenceMachine LearningSocial Impact

Event Type

in person

£10,000

Prize Pool

Pop the Bubble Hackathon 5–7 June 2026 · 36 hours https://www.popthebubblehack.co.uk/ The room 80 builders. ~12% acceptance, manual review. Half are pre-company shipping side projects with real users. Half are ex-Stripe, ex-YC, indie hackers running their own MRR. We filter for your hunger. Judged by a16z scouts, OpenAI developers and more. Investors and operators in the room from day one The prizes £10,000 cash · first place. Other prizes TBD. Top 3 teams join us at the closing dinner Sunday night. The test Did anyone click, reply, pay, reject you, change a workflow or care enough to argue? Three tracks Outbuild · find a slow, bloated product. Ship the sharper version. Steal their users. Validate · build the evidence pack, dashboard, or report against a company that makes the truth harder to ignore. Effect · pick one real person or org. Remove a recurring burden with them, not for them. Get paid. How we judge Economic exchange — did someone pay?Rejections — proof you askedReal-world impact — something is different on Monday Apply If you're done gambling weekends on hackathons that go nowhere, this is the clean test.

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