Invite only. 25 seats. One day.
We're bringing 25 hand-picked builders into one room for a single day to build on Qwen, end to end. Every model call in the room runs Qwen: Superlinked's inference engine (SIE) serves the Qwen catalog, and Alibaba Cloud Model Studio serves the frontier stack (qwen-max, Qwen-VL, plus image and video generation). You'll ship on both.
This is a private event co-hosted by Superlinked and the Alibaba Cloud Qwen team. Applicants will be hand-picked from the event waitlist, so bring your A-game!
What you'll build
The main challenge: build anything real around model routing. Every request flows through SIE, and you can offload the heavy tasks to Alibaba Cloud when it makes sense (rewarded in judging). Think routing dashboards, agents doing tool calls across both backends, whatever you can stand up in a day.
Two side tracks run alongside it:
Visual track: every team explains their build with a Qwen-generated image or video. Best one takes the track.Social track: post publicly about what you're building. Most impressions by judging time wins.
The day
09:00 Intros and sponsor talks from Superlinked and the Qwen team10:00 Team formation11:00 Build (support desk staffed all day)18:00 Submissions close (hard cut)18:00 Judging across all three tracks19:00 Winners announced
Prizes:Winner of 1: $300 cloud/model studio coupon + DJI Mic Mini 2Winner of 2: $200 cloud/model studio coupon + DJI Mic Mini 2Winner of 3: $100 cloud/model studio coupon + DJI Mic Mini 2
Venue and food provided on the day. You bring the ideas and a laptop.
Seats are capped at 25 and going fast. Claim yours before they're gone.
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.