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CodeBuddy × GLM — Global AI Hackathon Singapore 2026

lumaHosted on Luma

Fetched 1 day ago

Saturday, May 9, 2026

to Saturday, May 9, 2026

Artificial Intelligence

Event Type

in person

$1,000

Prize Pool

Build AI Agents that Think, Decide, and Execute Z.ai and GaGro are excited to co-initiate the Global AI Hackathon Singapore 2026 with CodeBuddy. This is a premier AI builder event designed for developers, founders, and students to create next-generation AI products — with a strong focus on AI Agents and real-world applications. If you want to be an audience of the final round (live streaming online & onsite banquet at Singapore), please follow this link: https://luma.com/86ggns4x What You’ll Experience Build AI-powered products from concept to prototypeLearn and apply AI coding workflows to accelerate developmentParticipate in live mentorship sessions and expert Q&AsPitch your project at the final Demo Day in Singapore (Selected teams)Connect with a global network of builders, founders, and operators Who Should Join AI developers & engineersProduct managers & designersEntrepreneurs & startup enthusiastsUniversity students Key Timeline March 26, 2026 — Registration Open May 02, 2026 — Project Submission Deadline May 03, 2026 — Final Round Release May 09, 2026 — Final Demo Day (Singapore) Final Round: Demo Day Top teams will be selected to present their projects in Singapore, featuring: Live pitchingExpert judgingNetworking sessionsAwards & Recognition Demo Day Agenda (May 09) 13:30 Registration 14:00 Opening Remarks 14:15 Hackathon Recap 14:30 First 5 Teams Pitch 15:30 Coffee Break + Networking 16:00 Remaining 5 Teams Pitch 17:00 Judges' Deliberation 17:20 Award Ceremony 17:40 Free Networking 18:00 Closing ​Prizes & Opportunities 🥇 1st Place Prize: USD $1,000 credit 🥈 2nd Place Prize: USD $500 credit 🥉 3rd Place Prize: USD $200 credit In addition, outstanding participants may receive: Internship and job referral opportunitiesPotential incubation and follow-up support from partner organizations Add-on: Exciting News about Z.ai! Z.ai Startup Program is now open for applications! If you’re serious about turning AI ideas into real-world products, you need more than ambition — you need momentum, support, runway, and scalable infrastructure. That’s exactly why we launched the Z.ai Startup Program. Built for early-stage teams, the program supports founders developing real AI products — from AI agents and copilots to vertical AI applications and multimodal systems. Selected startups will receive: Access to Z.ai’s advanced model capabilities, including the GLM familyAPI credits to accelerate product development and experimentation Technical guidance for production deploymentDirect connection to a growing global community of AI founders If you’re actively building and ready to move faster with the right AI foundation, we invite you to apply. Your vision + our AI infrastructure = real momentum. Apply now → https://startup.z.ai/ *Event Disclaimer By registering for this event, you acknowledge and agree that the organiser may collect, use, and disclose your personal data, including photographs and video recordings taken during the event, for purposes such as event administration, documentation, publicity, marketing, and future event-related communications. If you do not wish to be photographed or recorded, please inform the organiser in advance or notify event staff on-site.

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