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Agentic Builders Hackathon

lumaHosted on Luma

Fetched 3 days ago

Friday, July 31, 2026

to Saturday, August 1, 2026

•

11 hours long

Artificial Intelligence

Event Type

in person

What do you build when your primary user isn't a human? The Agentic Builders Hackathon is a one-day sprint to design products and APIs for autonomous AI agents — not people. Engineers, founders, and innovators come together to rethink product design from the ground up, for a world where the consumer is a machine. Build Tracks Agent-native APIs — interfaces built to be consumed by models, not humansMachine-to-machine commerce — autonomous payments over the x402 protocolAgent-ready retrofits — take an existing product and make it agent-first Who should come Engineers, founders, PMs, and hackers who want to test a half-built idea, ship something scrappy-but-real, and meet sharp people solving hard problems. Schedule Coming soon We're assembling the lineup — announcing over the coming weeks: Partners: the models, cloud, credits & tools to help you actually shipSpeakers: builders from across the agent ecosystemJudges: an invite-only panel Hosted by Nextdev Nextdev builds the tools and talent behind AI-native software. We're bringing the agent-builder community together, in person, to push what autonomous software can do. Get involved 🏢 Become a venue partner 🙋 Volunteer 📣 Follow along on X, LinkedIn & our newsletter All guests must be 18+ and present a valid government-issued physical photo ID at check-in (digital IDs will not be accepted). Scooters and bikes are not permitted in any Amazon building with no on-site parking available.

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