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Embodied Metal Hackathon

lumaHosted on Luma

Fetched about 3 hours ago

Friday, July 17, 2026

to Sunday, July 19, 2026

•

2 days long

Artificial Intelligence

Event Type

in person

Embodied AI is intelligence that climbs out of the screen, and this hackathon is for the founders, developers, and mad scientists who are giving it a body. Taking place across three days in a whirring Mission factory loft, every team gets a robot to hack with, hands-on task-training support, and a mandate to ship something that makes a dent in reality, all by Sunday. Spots are limited and curated. Apply now. When & Where Friday Friday, Jul 17 - Sunday, Jul 19, The Mission, San Francisco Fri 17 – Kickoff + bootcampSat 18 – Full hack daySun 19 – Demos + judging What You'll Make Whatever you can wire a mind to do inside plastic and metal. A robot that sorts, pours, folds, fetches, or something we've never seen before. One catch: you need to train the robot to do something surprising, and build software that harnesses its new talent. Your Hosts Mission Robotics – The beating heart of robotics in the Mission. Savant – We help top founders explore & build new Physical AI companies through a hardware lab space, a powerful network of peers and funding. North Star – The Egocentric, UMI, tactile, and multimodal data for Physical AI. New Theory – The world model lab bringing the experts and the stack. Sponsors Modal – compute and inference for every team. Apply Today Prove there's more to intelligence than chatbots and approving random toolcalls. Space is very limited, so apply by registering.

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