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Join39 Builder Nights at MIT: Weekly AI Agent Hackathon

lumaHosted on Luma

Fetched 4 months ago

Thursday, March 19, 2026

to Friday, March 20, 2026

•

2 hours long

Artificial IntelligenceOpen SourceInnovationNetworkingSocial Impact
Student only
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

31

Participants

2

Est. Projects

Every Thursday we open the doors at MIT for builders working on the next generation of AI agents. Join39 Builder Nights are a weekly, open hackathon where developers, researchers, and curious builders come together to experiment with the Join39 agent infrastructure. Think of it less like a traditional event and more like a shared lab where people are actively building. You can come with an idea, join an existing team, or just explore the stack and see what others are creating. Core Join39 contributors will be there, so you can get direct feedback from the people building the framework. These sessions are part of the global Join39 Developer Competition. Teams working during the hack nights can qualify for the semifinals and finals later this spring. What to expect: Build your own AI agents and applications using Join39Get hands-on guidance from the Join39 developer teamMeet other builders in the MIT AI ecosystemForm teams and prepare projects for the competition The competition is global and hybrid, so you can participate virtually as well. But if you’re in Boston, this is the place to build. When: Thursdays, 7:00–9:00 PMWhere: MIT (location shared after RSVP)

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