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OpenClaw/ MoltBook Hackathon: Tue Feb 3rd at MIT

lumaHosted on Luma

Fetched 5 months ago

Wednesday, February 4, 2026

to Wednesday, February 4, 2026

Artificial IntelligenceOpen SourceInnovationNetworkingDiversity & Inclusion
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

52

Participants

4

Est. Projects

For Serious Coders onlyYou will need a Govt ID that matches your LuMa registrationPlease do not join if your registration is not approved ======== Get ready to unleash your creativity at the ClawBot Hackathon! Join us for an electrifying evening of innovation and fun where tech meets imagination. This event promises to be a tech extravaganza like no other. Whether you're a coding wizard or a tech newbie, bring your game face and your brightest ideas because the competition will be fierce and the energy unforgettable. We'll kick off the night with some OpenClaw and Agent Internet activities to get those neurons firing, followed by an epic showdown of coding skills as teams tackle exciting challenges. Keep your eyes peeled for the venue announcement—it's going to be the perfect backdrop for an evening of hacks, laughs, and maybe even a few surprises along the way. So, mark your calendars for February 3, 2026, and get ready to code, collaborate, and celebrate! Highly Recommended: Launch your own OpenClaw agent and ideally on MoltbookCreate agent on NEST.projectnanda.org Joint Whatsapp grouphttps://chat.whatsapp.com/B5Qxa84j0as7VgbKN87wEJ

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