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Last Mile Agent Hackathon

lumaHosted on Luma

Fetched about 2 hours ago

Wednesday, July 22, 2026

to Wednesday, July 22, 2026

Artificial Intelligence

Event Type

in person

144

Participants

12

Est. Projects

Join us for an AI hackathon designed for anybody frustrated by AI agents completing real world tasks. This is not a high-pressure coding competition. It is an exploration of what agents can do when they aren't limited by verification codes, making payments, voice calls in a different language, and so much more. Please feel free to bring an AI agent you have started, but never finished. You'll learn how to set up Novita APIs and models, use ActionLayer to complete tasks, and follow a clear workflow from idea to working demo. Come solo or with a team. Beginners are welcome. What to Expect Practical walkthrough of Novita API and model setupExample AI app ideas you can buildHands-on session from ActionLayer on taking AI to the physical worldBuilding tips, technical guidance, Q&ATime to meet other builders, creators, and collaborators Event Schedule 5:30 PM: Doors open + tacos 6:00 – 6:45 PM: Lightning workshops by Novita and ActionLayer teams6:45 – 8:00 PM: Hacking8:00 PM: Judging/Awards Judges Reddit: Nathan HandlerClarityCare AI: Oscar Courbit, Simon LefortAtlas: Aditya Salian Prizes $7K+ in prizes including Novita credits, ActionLayer tasks, and more! Special prizes include interviews for open roles such as FDE. Please make sure to bring a laptop.

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