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JacHacks Spring

devpostHosted on Devpost

Fetched 1 day ago

Friday, May 15, 2026

to Tuesday, May 19, 2026

•

4 days long

Data ScienceArtificial IntelligenceWeb Development
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

online

185

Participants

$4,000

Prize Pool

16

Est. Projects

JacHacks is a virtual hackathon (May 15 - May19) where participants build real agentic AI applications using Jac, an AI-native programming language developed at the University of Michigan. Backed by NVIDIA and the NSF, this is a space for builders who want to go beyond the surface and create agents that actually do things. Whether you're new to agentic AI or already deep in it, there's a track for you. Get started Registration is open now! The hackathon runs virtually from May 15-19, 2026. Once you're registered, join our discord to meet your fellow hackers, get resources, and stay up to date as we get closer to kickoff. Pick a track, form a team, and start thinking about what you want to build. We'll handle the rest. Details Teams: 1–4 people Skill Level: All levels welcome Cost: Free Format: Virtual Perks: Networking, mentorship, gain valuable experience, learn new skills, and real job opportunities

Sponsors

Jaseci Labs image

Jaseci Labs

www.jaseci.org

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