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

Alan x Lovable hackathon

lumaHosted on Luma

Fetched about 1 hour ago

Wednesday, July 8, 2026

to Wednesday, July 8, 2026

Artificial Intelligence

Event Type

in person

26

Participants

2

Est. Projects

How can AI improve wellness? Join Alan and Lovable for a fast-paced one hour hackathon where you'll build a wellness-focused product from scratch and pitch it live. You will have 60 minutes to turn an idea into a working prototype. At the end of the session, participants can present their projects in 90-second pitches. A panel of judges will select the winning teams. All participants will receive complimentary access to Lovable Pro with 100 credits, more than enough to build and ship an MVP during the event. No prior experience with Lovable is required. ​About the organisers: Alan is Europe's leading health partner, with a mission to help people live in good health to 100. Alan has built the one place where insurance, prevention, care access, and well-being services come together seamlessly in one app. Lovable is the fastest growing startup ever, empowering the 99% who can't code to build. With Lovable, turn ideas into production-ready web apps in minutes, with no coding skills required.

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