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Light x Lovable x McKinsey QB Finance Hackathon

lumaHosted on Luma

Fetched 1 day ago

Wednesday, May 27, 2026

to Wednesday, May 27, 2026

Artificial Intelligence

Event Type

in person

​Choose a CFO headache. Build an AI app to solve it. Join us at McKinsey & Company's New York City office, where Light, Lovable, and QuantumBlack by McKinsey are teaming up to give finance teams a unique opportunity to bring AI into their operations. With direct guidance from Light (the world’s leading AI-native finance platform) Lovable (the world’s leading AI app-building platform) and QuantumBlack by McKinsey (the world’s leading AI consultancy). You’ll turn your biggest finance headaches into real AI apps your company can start using from day one. This is not another workshop or panel.It’s a full-day hackathon where CFOs & finance teams build, and everyone walks away with new tools, new ideas, and new connections. The Day 2:00pm → Doors open, coffee and bites2.30pm → Welcome remarks2:45pm → Hackathon starts4:30pm → Pencils down + top apps picked4:45pm → Presentations (with VIP judges!)5:15pm → Prizes5:30pm → Drinks & Reception On-Site Guidance ​Throughout the day, teams receive personalised support from: ​Light product specialists and designers — helping you turn ideas into functional prototypes.​Lovable AI specialists — helping you design automations and build AI logic.​QuantumBlack consultants — helping 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: CFOs, accountants, controllers, analysts, FP&A​Skill level: no coding needed — if you can prompt ChatGPT for a lasagne 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.

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