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LovHack x BrandOye Growathon

devpostHosted on Devpost

Fetched about 5 hours ago

Monday, June 1, 2026

to Sunday, June 14, 2026

•

2 weeks long

Data ScienceWeb DevelopmentArtificial Intelligence
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

online

18

Participants

1

Est. Projects

Most builders know how to build. Very few know how to grow. The LovHack x BrandOye Growathon is a 2-week online growth challenge designed to help builders, founders, creators, and students learn how to actually grow the products they create. This is not a traditional hackathon focused only on building. This is about:• distribution• users• reach• growth• visibility• traction Participants will receive access to BrandOye and use it throughout the challenge to experiment with:• SEO strategy• keyword research• social media growth• audience targeting• content creation• analytics and engagement tracking• outreach and distribution Whether you already have a project, startup, app, community, or side project, this challenge is designed to help you learn how products actually grow online. Because building is only half the game. Timeline June 1, 2026 Growathon officially begins June 1–14, 2026 Participants work on growth experiments, marketing strategies, distribution, and traction-building Mid-June Final submissions and results review More updates, workshops, and announcements will be shared throughout the event.

Sponsors

BrandOye image

BrandOye

brandoye.com

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