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Sketch "n" Ship with AI

commudleHosted on Commudle

Fetched about 2 hours ago

Saturday, July 25, 2026

to Saturday, July 25, 2026

Web DevelopmentMobile DevelopmentArtificial IntelligenceSocial ImpactEdtech

Event Type

in person

100

Participants

9

Est. Projects

Sketch "n" Ship with AI is a 12-hour buildathon where designers, developers, and innovators come together to transform ideas into AI-powered products. From crafting intuitive user experiences to building intelligent applications, participants will leverage the latest AI tools and technologies to accelerate the journey from concept to deployment. Whether you're designing interfaces in Figma, engineering scalable systems, integrating LLMs, or experimenting with AI agents, this hackathon provides the perfect environment to create, collaborate, and ship. The journey begins online with a qualifying round, where participants submit innovative solution ideas around announced tracks. The most promising teams will be shortlisted and invited to the offline buildathon, where brand-new problem statements will be revealed on the day of the event, ensuring a level playing field for every finalist. Throughout the offline event, teams will tackle real-world challeng

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