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LynxHack2026

devpostHosted on Devpost

Fetched 3 months ago

Tuesday, March 31, 2026

to Friday, April 3, 2026

•

3 days long

Artificial Intelligence
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

12

Participants

1

Est. Projects

Lynx Hack 2026 is an annual hackathon hosted by CU Denver's STEM student organizations include AI Student Association (AISA), NSBE, SHPE, Lynx Robotics, and SPS. This is your opportunity to build something meaningful using AI and emerging technologies, collaborate with fellow innovators, and present your work to industry professionals.

Whether you're a first-time hacker or a seasoned builder, Lynx Hack is designed to challenge you, grow your skills, and connect you with a community of passionate students and professionals.

Get Started

  1. Register on this Devpost page and create or join a team
  2. Attend the Kickoff Event on March 30th
  3. Build your project between March 30th and April 3rd
  4. Submit your project on Devpost before the deadline which is April 3rd at 10 AM
  5. Present your work to judges on April 3rd

Sponsors

CACE image

CACE

SGA image

SGA

DSAI image

DSAI

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