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Open Source AI Hackathon #23 - AI Agents

lumaHosted on Luma

Fetched 8 months ago

Saturday, November 15, 2025

to Sunday, November 16, 2025

•

9 hours long

Artificial Intelligence

Event Type

in person

172

Participants

$100

Prize Pool

15

Est. Projects

​Come ready to learn how to build on LLMs and work with a team to build an AI Application! We'll start with a hands-on tutorial, so come ready to code! Bring your laptop! ​You will need to have: ​A recent version of Python (I use 3.12)​A vague idea of what an LLM is​An enjoyment of building things with code ​You will get: An introduction to how to use MuleRun, the world's largest AI Agent Marketplace​Pizza, the classic lunch fuel for hackathons ​You will have roughly 6 hours to make: ​A public GitHub repo containing your project code​A presentation that you will get to give in front of the whole class (I mean group of hackers) and some Venture Capital judges​New friends :) As part of the MuleRun Sponsorship, teams will get: 1. Featured Launch Program: All approved agents will receive promotional placement on MuleRun and 1,000 guaranteed users for immediate product validation, streamlining market testing;2. Tiered Revenue Matching: Earn matched payouts proportional to your earnings from user-paid agent runs.;3. Expedited Approval for Winners: Hackathon award recipients bypass application reviews and automatically receive $100 in API credits after publishing their first agent In addition, all teams will be entered into Beta Fund's AI explorer program for a chance to win 20k! Agenda ​​9:00am - Arrive and Welcome ​​10:00am - Hack! ​​12:00pm - Lunch Break ​​3:59pm - Submit your projects ​​4:00pm - Pitching and Snacks ​​5:00pm - Judging ​​5:30pm - Award Ceremony ​​6:00pm - Bye bye! Sponsored by MuleRunCo-Host B.E.L.L.E

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