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

Prompt Finance Hackathon

lumaHosted on Luma

Fetched 1 day ago

Saturday, May 23, 2026

to Sunday, May 24, 2026

•

1 day long

Artificial Intelligence

Event Type

in person

80

Participants

7

Est. Projects

A selective weekend hackathon for people who are already hands-on with AI — ideally AI agents and agentic workflows. We’re gathering a group of serious builders to ship working prototypes fast: close teams, deep focus, and a demo at the end. If you’ve been experimenting with agent frameworks, tool-calling, RAG, evals, automation, or AI-native product thinking, this is for you. We will offer some credits for AI tools and there will be an estimated prize pool of 7000€+ in cash prizes for the challenge tracks.We are anticipating to close applications by the 17th of May and are accepting them on a rolling basis. Partners Challenges from: Sortter, Taxxa.ai and Aiven Tools from: Featherless.ai and Lovable Location Startup Sauna Format Kickoff + team matching (or apply with an existing team), team size is 2-5 people Hacking Demos / final presentations Who this is for Builders with real AI experience Bonus if you’ve built or deployed agents (multi-step workflows, tool use, orchestration, etc.) People who want to build in a high-trust, high-output environment Admissions This event is restricted and application-based. We’ll review applications and confirm spots on a rolling basis.

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