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Gear Mega Hackathon

dorahacksHosted on DoraHacks

Fetched 8 days ago

Friday, January 10, 2025

to Saturday, January 11, 2025

•

1 day long

BlockchainGame DevelopmentFintechArtificial IntelligenceInnovation

Event Type

online

166

Participants

USD10,000

Prize Pool

14

Est. Projects

Join the Vara Mega Hackathon in Mexico City 2025! Are you a developer, designer, project leader, or Web3 technology enthusiast? This event is for you! Get ready to showcase your skills in a competitive and collaborative environment at the Vara Mega Hackathon, which will take place in Mexico City from January 10 to 12, 2025. With multiple physical venues in Mexico and online participation worldwide, you’ll have the chance to build innovative solutions using emerging technologies like blockchain, artificial intelligence, and more. Event Details - Date: January 10-12, 2025 - Location: Instituto Tecnologico Autonomo de Mexico (ITAM), Mexico City - Format: In-person in Mexico and online for international participants Side Hackathons Venues: - Side Hackathon Querétaro: October 17-19 at Anáhuac University - Side Hackathon Chiapas: October 23-25 at Polytechnic University of Chiapas - Side Hackathon Ensenada: October 29-30 at Cetys University Event Goal The Mega Hackathon 2024-2025 will continue that legacy by hosting a series of Side Hackathons in various cities, culminating in the Main Hackathon where participants from around the world will be able to compete online and offline in Mexico City. The top 3 teams will receive cash prizes and will have the opportunity to receive follow-up support to continue developing their projects through the Vara Network grants program.

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