• Hackathon Radar
Hackathons
  • Browse
  • Judge Opportunities
  • Sponsors
  • Organizers
  • Map
  • Discover
Explore
  • Stats
  • State of Hackathons
  • Changelog
Personal
  • Custom Views
  • Passport
  • Favorites
  • Settings

She Nicest Hackathon Pop-up|The Bay Area

lumaHosted on Luma

Fetched about 1 hour ago

Saturday, July 25, 2026

to Saturday, July 25, 2026

Artificial Intelligence

Event Type

in person

4

Participants

0

Est. Projects

For the first time ever, She Nicest is landing in the Bay Area for an intimate, high-vibe afternoon of co-creation, networking, and hands-on AI building. We're creating a space for women-identifying creators (and allies!) to collaborate, experiment with modern AI tools, and pitch lightweight prototypes on stage. Come for the vibe-coding, stay for the global connections—this pop-up is the official US warm-up for our massive 1,000+ participant Beijing Global Hackathon this August. 🎯 What You Will Experience Hands-on Co-Creation: Build a lightweight AI project or prototype—individually or in small teams.Demo Showcase: 4–6 selected projects will present live, with 1–2 standout picks highlighted.Global Community: Learn about our upcoming Beijing Global Hackathon (late August) and how to stay connected. ⏰ Event Schedule 1:30 PM – 2:00 PM | Check-in & Networking2:00 PM – 2:10 PM | Opening Introduction2:10 PM – 2:25 PM | AI Creator Sharing2:25 PM – 2:35 PM | AI Tool Demo2:35 PM – 3:30 PM | Hands-on AI Co-Creation Session3:30 PM – 3:55 PM | Demo Presentations & Review3:55 PM – 4:00 PM | Closing & Next Steps 💻 What to Bring: This is a hands-on workshop—please bring your laptop! 💜 Gender Policy: Women-centric — all genders are welcome as allies, with the stage, mentorship, and spotlight prioritizing female-identifying builders.

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