This hackathons is only open to students. Double check the event page for more information as this may mean only those from a particular university/country are eligible.
Event Type
in person
93
Participants
8
Est. Projects
Event Details:
BLACKBOX is a story-driven Web Development Treasure Hunt where teams investigate a fully functional web application to uncover hidden clues, solve interconnected challenges, and unlock new sections of the system. Instead of building an application from scratch, participants will explore, debug, analyze, and think like software engineers. Teams that successfully complete the investigation will unlock the Final Vault, featuring the final Competitive Programming challenge(s) to determine the winners.
Eligibility:
Open to all undergraduate students.
Team Size: 1–3 members
Inter-college teams: Allowed
Inter-specialization/Inter-department teams: Allowed
Event Format:
Duration: 8am - 4pm
Explore a custom-built web application and solve interconnected web development challenges.
Progress through multiple stages by uncovering hidden clues.
Unlock the Final Vault and solve the final Competitive Programming challenge(s).
Winners will be decided based on challenges completed and completion time.
Rules:
Participants must carry their own laptops and chargers (and extension boxes, preferably).
Internet access for documentation is allowed. AI tools may be used unless specified otherwise during the event.
Sharing clues, solutions, or flags with other teams is strictly prohibited.
Any unfair means, plagiarism, or attempts to attack the event infrastructure will result in disqualification.
The decision of the organizing team will be final.
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.