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🏆 FLUX × Rokid AI Glasses Hackathon Demo Night

lumaHosted on Luma

Fetched about 7 hours ago

Monday, June 15, 2026

to Monday, June 15, 2026

Artificial Intelligence

Event Type

in person

8

Participants

0

Est. Projects

Build the future of spatial computing — right here in Tokyo. We're bringing together FLUX developers and the Tokyo Rokid Community for a hands-on hackathon using the Rokid AI Glasses SDK. Prototype, build, and demo your ideas in front of peers, mentors, and the broader ecosystem. 📍 Event Details About 10 days build sprint with Rokid with a demo ngiht Demo Night: June 15 (Mon), 19:30 – 21:00 Venue: FLUX Office, Tokyo Format: In-person demo & presentation night Participants: FLUX in-house consultants & developers + Tokyo Rokid Community teams 🗓️ Key Dates Jun 4 (Thu) Kick-off Workshop & Review #1Jun 5 (Fri) Build Sprint beginsJun 6 (Sat) – Jun 12 (Fri) Build SprintJun 11 (Thu) Mid-point Review #2Jun 15 (Mon) 🏆 Hackathon Demo Night — 19:30 @ FLUX OfficeJun 26 (Fri) Top projects showcased at Rokid Developer Conference 🧭 Agenda — Demo Night (June 15) Full agenda coming soon. Check back closer to the event. 19:00 Doors open / Check-in19:30 Welcome & Opening Remarks19:45 Team Demos 5 min per team(demo + Q&A)TBD Judging DeliberationTBD Awards & Closing~21:00 End of event Presentation & Demo 5 minutes per team in total(demo presentation + Q&A combined)Japanese or English ー either is fine Required presentation content Use case explanationApplication architecture overviewLive demo or demo video 🎁 Prizes 🔧 Prize structure is being finalized. Details will be announced by June 8. Categories under consideration: 🥇 Best Overall Project💡 Most Creative Use of Rokid SDK⚙️ Best Technical Execution 📏 Competition Rules & Judging Criteria 🔧 Full rules and judging rubric coming soon. Draft judging dimensions: 💡 Idea & Innovation Originality and relevance to the AI Glasses ecosystem ⚙️ Technical Execution Quality, functionality, and use of the Rokid SDK 🖥️ Demo Quality Clarity and polish of the live presentation 🌏 Ecosystem Impact Potential contribution to the Rokid Japan community General Rules (draft): Teams of 1–3 people (2 people recommended)Projects must use the Rokid AI Glasses SDKAll code must be written during the hackathon sprint period (Jun 5–15)Each team has 5 minutes to demo + Q&A from judgesProjects must be demoed live on the night 🛠️ Resources 🔧 SDK documentation and tutorials will be published by June 8. SDK Docs & Setup Guide — Coming Jun 6Discord Community — Link coming soonMentor Support — Available during the build sprint (Jun 6–12) via Discord Questions? Contact your invitation point of contact — FLUX team (internal) or Billy (Rokid community). 👥 Who Should Participate This hackathon is designed for: FLUX in-house consultants and developers exploring spatial AI applicationsTokyo Rokid Community teams already building with AI Glasses hardwareAnyone excited about the intersection of AI + wearables + spatial computing No prior Rokid SDK experience required — the kick-off workshop on June 4 will get you up to speed. 📬 Participation This is an invitation-only event. FLUX developers & consultants — 5 teams (10members) coordinated internally by the FLUX teamTokyo Rokid Community teams — Max 10members (5teams) invited directly by Billy (Rokid) Mixed teams (in-house + community) are not permitted. If you've received an invitation, no further registration is needed. For questions, reach out to your point of contact directly. Organized by FLUX × Rokid Japan — building the AI Glasses ecosystem together. Ecosystem Parter: Billy Qiu & CreatorLabo

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