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Product Management Hackathon

devpostHosted on Devpost

Fetched 4 months ago

Saturday, March 14, 2026

to Sunday, March 15, 2026

•

2 days long

Web Development
Student only
This hackathons is only open to students. Double check the event page for more information as this may mean only those from a particular university/country are eligible.

Event Type

in person

2

Participants

0

Est. Projects

Welcome to the first product management hackathon hosted by Ascend Concordia and the Software Engineering and Computer Science Society (SCS). We’re excited to bring together engineering and business students for a unique opportunity to collaborate and create products that solve real problems.

Product management is about solving real problems and creating value for users. It connects technology and business to turn ideas into products people actually want.

This hackathon challenges you to think like both a product manager and a builder. You’ll improve a minimal budgeting app prototype and create a product that stands out in the market and meets real user needs.

Engineering students will explore how product management guides technical decisions and how those decisions connect to user value and business goals. Business students will get hands-on experience with the product development process, learning how ideas move from problem discovery to design and implementation.

Your focus should be on understanding user needs, shaping features that matter, and making design choices that create lasting value. The goal is to develop a product that users adopt and continue using while balancing technical feasibility and business impact.

Sponsors

Sponsors image

Sponsors

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