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HackRare 2026

devpostHosted on Devpost

Fetched 4 months ago

Thursday, February 26, 2026

to Sunday, March 1, 2026

•

4 days long

HealthtechSocial ImpactInnovation
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

149

Participants

$6,000

Prize Pool

13

Est. Projects

In collaboration with the National Organization for Rare Disorders (NORD®, Harvard Undergraduate Rare Diseases (HURD) is excited to host HackRare, a hackathon focused on rare diseases.

Held in honor of Rare Disease Day® (February 28), the third annual HackRare Hackathon will take place over the weekend of February 28 - March 1, 2026 at Harvard’s Student Organization Center at Hilles (SOCH) in Cambridge, MA. Our goal is to bring together brilliant minds to explore computational solutions for rare diseases, leveraging the power of open science and genomic data.

Join us to deepen understanding and drive meaningful progress in improving the lives of those affected by rare diseases!

Sponsors

National Organization for Rare Disorders image

National Organization for Rare Disorders

rarediseases.org

Astellas image

Astellas

www.astellas.com

GeneDx image

GeneDx

www.genedx.com

10x Genomics image

10x Genomics

www.10xgenomics.com

Alexion image

Alexion

alexion.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