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Cursor Tbilisi Reverse Hackathon

lumaHosted on Luma

Fetched 1 day ago

Saturday, September 20, 2025

to Saturday, September 20, 2025

Artificial Intelligence

Event Type

in person

26

Participants

2

Est. Projects

Time: 12:00 – 15:30 Location: Terminal Abashidze What’s Going? Forget “hello world” projects and blank slates. This is a hacking session for the curious, the eager, and anyone who secretly likes fixing what everyone else would throw away. You’ll get handed a real piece of software history: broken, chaotic, and just weird enough to keep you on your toes. Your job? Make it work again, but don’t stop there. Get creative, reimagine, optimize, and push it further than it’s ever been. Agenda: Quick intro + task revealDive into the mess (solo or teams - up to you)Lunch break + irl networkingShow & tell: demos, breakdowns, “how did you even…?” moments No slide decks. No project pitches. Just you, Cursor, and the unknown. Learn to navigate AI-powered tools in real, unpredictable terrain. Get under the hood, experiment, and see what happens when you put new tools to the ultimate test. Prizes: Cursor credits and bragging rights, plus, you’ll finally have an answer to “what’s the weirdest thing you ever debugged?” Bring: LaptopCuriosityQuaternions Space is tight - RSVP to claim a spot.

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