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HackNYU 2025

devpostHosted on Devpost

Fetched 3 months ago

Saturday, February 8, 2025

to Sunday, February 9, 2025

•

1 day long

Beginner FriendlyFintechMachine LearningHealthtechAR/VR
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

642

Participants

$4,800

Prize Pool

57

Est. Projects

HackNYU is a 48-hour hackathon hosted by NYU students around the world. Come build your dream project, learn from our talks and mentors, and win prizes! This year, our FOUR tracks for your hacks are Health & Sustainability, Interactive Media Arts: Mixed Reality (AR/VR), FINTECH: Financial Empowerment, and Security & Privacy. HackNYU is free, and made possible thanks to our wonderful sponsors and volunteers. This event will take place IN PERSON ONLY February 8-9 at NYU Tandon.

Sponsors

NYU IT image

NYU IT

www.nyu.edu

Google image

Google

play.google.com

Incogni image

Incogni

incogni.com

NordPass image

NordPass

nordpass.com

Mathworks image

Mathworks

NordVPN image

NordVPN

nordvpn.com

Saily image

Saily

saily.com

Capital One image

Capital One

Solana image

Solana

solana.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