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Hack-Nation HUB – Linz

lumaHosted on Luma

Fetched about 1 hour ago

Saturday, July 18, 2026

to Sunday, July 19, 2026

•

1 day long

Artificial Intelligence

Event Type

in person

33

Participants

2

Est. Projects

Your pathway to pitch in Silicon Valley: Join Hack-Nation's Global AI Hackathon on July 18–19, 2026 at Young AI Leaders Linz to build, prototype, and pitch the next generation of AI ideas. This hackathon is for AI builders, researchers, students, engineers, designers, and early teams who want to seed and test new ideas in a high-energy environment. Teams will work on defined AI challenge tracks, receive mentor and jury feedback, and pitch locally at MIT. Top teams may be invited into an August–September coaching phase and considered for the MIT AI Conference on October 17 in Mountain View — a major AI gathering in the MIT and Silicon Valley ecosystem, featuring founders, investors, researchers, and AI leaders from organizations such as Replit, Microsoft, General Catalyst, Greylock, OpenAI, Adobe, Applied Intuition, Liquid AI, Spotify, Oura, Grammarly, MIT Media Lab, E14 Fund, and Ridge Ventures. Up to 10 hackathon teams may be invited to showcase their project with a booth at the MIT AI Conference, and 3 teams may be selected to pitch live in front of an investor panel. Timeline July 18, 17:00: Local kickoff, speakers, mix & mingle, icebreakerJuly 19, 15:00: Final submission deadlineBy July 25: Jury recommendations for conference considerationAugust–September: Coaching phase for selected teams to refine their prototype, demo, and pitchOctober 17: MIT AI Conference in Mountain View, https://www.mitaiconference.org/ No idea is needed. Just come and build with us! MITAS is the official MIT Club which hosts the annual event - MIT AI Conference

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