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AI Hack Night - Let’s build AI Agents.

lumaHosted on Luma

Fetched 7 months ago

Wednesday, December 17, 2025

to Wednesday, December 17, 2025

Artificial IntelligenceMachine LearningData ScienceInnovationNetworking

Event Type

in person

58

Participants

5

Est. Projects

Build fast. Create together. Learn new workflows. December 17 (Wed) — 5:00 PM to 9:30 PM Tokyo station area. About This Event AI Hack Night is a hands-on mini hack event for builders, PMs, designers, and innovators to explore AI agents and the technologies around them through rapid prototyping. This is a lightweight, creative hack night where participants experiment with new workflows, collaborate with other creators, and build small prototypes in just a few hours. Whether you’re an engineer, PM, designer, or someone exploring how to build with AI, everyone is welcome. What You’ll Do: Try Vibe coding-style prototyping, building the AI agents! Form a team (optional) Build a quick prototype (solo or team) Share short demos Join a brief judging session Network with global founders, engineers, and creators No pressure, no complex rules — just a fast, fun, and creative night. Schedule: 5:00 PM — Doors open, check-in, networking 5:30 PM — Opening remarks 5:40 PM — Sponsors intro 6:00 PM — Hacking starts 8:00 PM — Pitch session (quick demos) 8:30 PM — Judge session & feedback 9:00 PM — Continue hacking / networking 9:30 PM — Event close Participants may continue working after the pitch session if they wish. Who Should Join: Software engineers, AI builders & developers, Product managers, Designers, People who want to explore new prototyping workflows, Anyone who wants to meet other builders and creators, Observers - want to see how builders, creators are working on together. All experience levels welcome.

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