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πŸ‘©β€πŸ’» 🌐 πŸ‘¨β€πŸ’» AI Power Hour Climate Hackathon

lumaHosted on Luma

Fetched about 2 hours ago

Wednesday, July 22, 2026

to Thursday, July 23, 2026

β€’

3 hours long

Artificial IntelligenceClimate Tech

Event Type

in person

Welcome to the AI x Climate Cluster Power Hour Hackathon! Have a climate idea or problem you've wanted to tackle but haven't found the time to get started? This is your opportunity to take the first step!AI has made MVP development possible in less than an hour. At this event, we will show you a few tools for rapid demo development, and send you off to the races towards solving climate problems! All you need is a laptop πŸ’», no coding experience required. Solo or teams welcome.What to expect:* 4PM - 5PM: Learn how to use AI tools, judging criteria shared, and climate target problems are shared (if you don't come with your own).* 5PM - 6PM: POWER HOUR! Hack your climate demo. Mentors will be available to answer your questions.* 6PM - 7PM: Demo presentations, top teams named, and get to know your fellow attendees. πŸ† Prizes will be awarded to top teams.If hacking isn't your thing, you are also welcome to join for the second hour of presentations and mingling. This meetup is hosted by Guthrie Gintzler. AboutΒ 9Zero:Β  We’re a members-only community of founders, investors, scientists, and innovators accelerating climate solutions through meaningful relationships. Apply to join at www.9Zero.com This is a 🌐 9Zero Cluster Meetup, a sector-specific groups led by subject matter experts. With online tools and monthly in-person meetups, they help 9Zero members meet others in their area of interest.

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

  • β€’ Hosted by a university
  • β€’ Open to students
  • β€’ 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