Choose a CFO headache. Build an AI app to solve it.
Bring your team and join Light, Lovable and Implement Consulting Group at Implement's beautiful Copenhagen office for a Finance Hackathon.
With direct guidance from Light (the world’s leading AI-native finance platform) Lovable (the AI app-building platform) and Implement (a leading Nordic transformation consultancy and our proud hosts for the day). You’ll turn your biggest finance headaches into real AI apps that your team can start using from day one.
This is not another workshop or panel. You'll walk away with a working solution to a legit business problem, a clearer sense of what AI can do for your day job, and a few fellow hackers who get it.
Agenda
2:00pm → Doors open, coffee and snacks2.30pm → Welcome 2:45pm → Hackathon starts5:30pm → Computers down + top apps picked5:45pm → Presentations (with VIP judges!)6:15pm → Announcing the winners6:30pm → Dinner & drinks
On-site guidance
Throughout the day, teams receive personalised support from:
Light product specialists and designers to help you turn ideas into functional prototypes.Lovable AI specialists to support in designing automations and build AI logic.Implement subject matter experts to help you shape business impact and storytelling with AI.
You’ll move through structured checkpoints so that by the end of the day, your team has a working AI app and a story to tell.
Who’s coming
We’re bringing together the best finance teams from leading companies around the world.
Finance teams of 2-5 people: CFOs, accountants, controllers, analysts, FP&ASkill level: No coding needed. If you can prompt ChatGPT for a lasagna recipe, you can build an AI app in Lovable
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.