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Hacksocial 2026

devpostHosted on Devpost

Fetched about 5 hours ago

Saturday, August 1, 2026

to Monday, August 31, 2026

•

1 month long

Artificial IntelligenceOpen EndedSocial Impact
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

65

Participants

$2,500

Prize Pool

5

Est. Projects

Welcome to HackSocial

HackSocial is a hackathon aimed at benefiting the greater good and giving back to the community. It is open to all high school, college, and post-grad students. We want to see solutions that make an impact in our community and drive change. Anyone can start and make a change, from beginners to advanced programmers.

Participants can choose from three tracks, each designed to explore a different way of making an impact:

Beginner – Best for hackers with beginner-level experience in programming.

AI/ML – Create practical solutions implementing or creating Aritificial Intelligence and/or Machine learning in your application

Visual Design Track – Design apps that are functional and visually appealing. They make the user interactions and interface easy to use with stunning visuals and functionality.

Lifestyle Hacks Track – Anything that affects us in our day to day lives. From health to daily life, everything that affects how we live counts!

Sponsors

Formaloo image

Formaloo

www.formaloo.com

Boot.dev image

Boot.dev

www.boot.dev

Wolfram Alpha image

Wolfram Alpha

www.wolframalpha.com

Gen.xyz  image

Gen.xyz

gen.xyz

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