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Build Smth AI-Native Hackathon @Cal

lumaHosted on Luma

Fetched 1 day ago

Saturday, May 9, 2026

to Sunday, May 10, 2026

•

6 hours long

Artificial Intelligence

Event Type

in person

252

Participants

22

Est. Projects

Got a half-formed idea? You’ll have 4 hours to turn a vibe into a working product in this hackathon— designing, building, and shipping something AI-native. Student and industry builders are both welcome. Zero experience required. Build with the HKN students, Berkeley community and connect with judges and mentors from Deepmind, YC companies, Entelligence AI and more! WHAT TO EXPECT Hosted by HKN and Butterai.org3-hour build sprint at UC Berkeley100+ selected builders: Berkeley students + vetted industry prosJudges: engineers from DeepMind, Google Labs, Amazon · founders from YC companiesMultiple cash prizes from our sponsors, plus potential VC investment. PROGRAM | Hack Day 2:50 PM — Doors open · Check-in & networking3:10 PM — Kickoff: welcome + sponsor intros3:30 PM — Hacking begins6:30 PM — Dinner served6:30 PM — Submission deadline · Judging begins7:30 PM — Top 10 live demos8:30 PM — Judges deliberate8:40 PM — Winners announced9:00 PM — Closing networking Teams of 1–4. HOST HKN (Eta Kappa Nu) is the IEEE-affiliated honor society for Electrical Engineering and Computer Science at UC Berkeley — one of the most selective student organizations on campus, with alumni across leading AI labs, top tech companies, and venture-backed startups. Our amazing sponsors: Entelligence AI, Insforge, Klarity Health and Zeabur.

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