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
101
Participants
$5,000
Prize Pool
9
Est. Projects
November 22-23, 2025 | Alpha Intelligence Capital, Paris
36 hours in-person hackathon. Build AI systems that personalise longevity interventions. Transform ageing research from one-size-fits-all to precision medicine designing protocols that adapt to individual biology, lifestyle, and goals.
WHO SHOULD JOIN
AI/ML engineers curious to optimise bio and healthScientists with interesting research ideasClinicians who see what's broken in healthcareBuilders hunting for co-foundersAnyone curious about moving to longevity but unsure where to start
Teams of 3-5. 60 builders total.
More information here: https://longevityhackathons.com/paris-2025
WHAT YOU GET
Infrastructure:
All credits and technical support that you needMentorship from scientists, AI experts and investorsLunch covered both days
Learning:
Pre-hack workshop on deploying AI models with Lyceum- Sign up here: https://luma.com/tfxncwuiPre-hack panel: "Digital Twins for Longevity" + Networking - Sign up here: https://luma.com/tdwdt0u1
Prizes (so far)
$5,000 in Lyceum credits$750 compute credits from Netmind AIPost-hack incubation to turn prototype into startup from Longevity Hacks
SCHEDULE
Nov 22 | 9:30 AM - 10 PM
10:00 AM - Opening remarks10:30 AM - Hack begins12:30 PM - Lunch (🥪 provided)1:30 PM - Hack continues10:00 PM - Venue closes
Nov 23 | 9:30 AM - 7 PM
9:30 AM - Door Opens9:30 AM - Hacking continues12:30 PM - Lunch (🥪 provided)2:30 PM - Submission deadline3:00 PM - Demos6:00 PM - Winners announced
SPONSORS
LYCEUM - AI-powered research platform accelerating scientific discovery through intelligent automation
ZERVE AI - AI Dev Environment for Data Science - supercharging how data scientists explore, test, and deliver
NETMIND AI - Platform for Machine Learning and AI training, fine-tuning and inference, utilising idle GPUs worldwide
HUGGING FACE - The platform where the machine learning community collaborates on models, datasets, and applications
2060 FOUNDATION - Advancing longevity research and entrepreneurship across Europe
DAPHNI - Paris-based venture capital firm backing Europe's most ambitious tech founders
QUAI Labs - QuAI Labs helps solo-preneurs and startups transform ideas into intelligent, automated businesses through hands-on expertise and strategic guidance.
Lucis - Lucis combines medical expertise and AI to transform regular blood testing into actionable insights to help people live healthier, longer.
COMMUNITY PARTNERS
NUCLEATE Paris- Nonprofit empowering the next generation of biotech leaders
LONGEVITY CULTURE CLUB - Community accelerating the longevity revolution through culture, connection, and collaboration
HOSTALPHA INTELLIGENCE CAPITAL - Venture firm investing in AI-native companies transforming critical industries
ABOUT US
Longevity Hacks is a global launchpad that pairs top talent and frontier AI models with the world’s most urgent challenges to seed longevity startups because ageing isn't waiting.LinkedIn: https://www.linkedin.com/company/longevityhacks/ X: https://x.com/LongHackathonsHere is more information
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.