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Monad Madness

dorahacksHosted on DoraHacks

Fetched 3 months ago

Tuesday, October 15, 2024

to Friday, October 25, 2024

•

1 week long

BlockchainFintechInnovationNetworkingCommunity

Event Type

online

31

Participants

USD500,000

Prize Pool

2

Est. Projects

Introduction to Monad Madness Monad Madness is a global pitch competition for ambitious founders building in the Monad Ecosystem. Selected BUIDLs from this hackathon will be invited to interview for the chance to pitch their projects in person at Monad Madness this November. The stakes are high: $500k in prizes for the winners of the pitch competition, judges from top VC firms, and $60M earmarked as potential investment for Monad ecosystem teams. Disclaimer: Being invited for interview does not guarantee a spot at the Monad Madness pitch competition. Date & Location 16-17 November | Bangkok, Thailand Details Who is eligible to apply? Are you building a novel EVM app? Is your team gearing up for an upcoming raise? Do you have a demo to show? If Yes, then Monad Madness is for you! The Monad Madness pitch competition is specially designed for venture-ready EVM teams. This means having a polished pitch deck, a demo environment to showcase, a team to execute on your vision, and (most importantly) a compelling and novel application. What time commitment is expected? Monad Madness is an IRL event spanning two consecutive days in Bangkok, Thailand (November 16-17, immediately following DevCon). Competition participants are expected to be present for an in-person pitch to investors and a live audience. When does the application window close? Submissions close on October 25th, 2024 at 11:59 PM ICT (UTC+7)

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