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Caffeine Promptathon

dorahacksHosted on DoraHacks

Fetched 3 months ago

Monday, December 1, 2025

to Monday, December 1, 2025

Artificial IntelligenceBlockchainWeb DevelopmentSocial ImpactInnovation

Event Type

online

34

Participants

USD2,000

Prize Pool

3

Est. Projects

Caffeine Promptathon - Building the Self-Writing Internet Together Welcome to the Caffeine Promptathon! This is an exciting hackathon focused on building innovative applications using Caffeine's conversational AI platform. Whether you're a developer leveraging Caffeine's technical capabilities or an entrepreneur and creator crafting incredible apps, this event is designed to help you build the self-writing internet together. The Caffeine Promptathon features two main tracks: - Commerce Apps: Apps with checkout and clear economic purpose (e.g. shop, marketplace, yield manager) - Personal Apps: Tools for individuals or small teams, without commercial intent (e.g. community tracker, time tracker, wellbeing app). Important: Caffeine is currently in alpha, so please use the Help & Support team via Telegram for any issues. Remember - no social media posts about Caffeine's look, features, or capabilities until after the event ends. Sharing online during the event will lead to disqualification. Save your posts for after the event! Prizes Total Prize Pool: $2,000 - Commerce App Winner: $1,000 - Personal App Winner: $1,000 Your projects will showcase the power of Caffeine, from inventive apps to transformative ideas that shape the future. Bring your creativity, passion, and a big smile. We can’t wait to see what you build. Let’s make this an unforgettable event!

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