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AI Voice Agent hackathon: Supafone.ai

lumaHosted on Luma

Fetched 23 minutes ago

Saturday, July 11, 2026

to Monday, July 13, 2026

•

1 day long

Artificial Intelligence

Event Type

in person

13

Participants

1

Est. Projects

Spend the day building voice agents with Supafone.ai and turning ideas into something people can actually call, talk to, and use. We’re opening up the stack for a hands-on hackathon focused on fast prototyping, creative experiments, and real voice products, with a special spotlight on Supafone’s self-healing framework, designed to help agents recover gracefully when things go off script. If you’ve been wanting to play with conversational flows, tool calling, call handling, or reliability in voice AI, this is the room to do it. Expect a high-energy afternoon in NYC with builders shipping side by side, swapping ideas, testing calls live, and pushing voice agents past the demo stage. Whether you want to create a customer support agent, booking flow, sales rep, assistant, or something strange and brilliant, you’ll have space to build, break, fix, and improve. Sam Savage is hosting, and the goal is simple: make something fun, sharp, and surprisingly good by the end of the day. Join us at 80 Delancey St in New York, bring your laptop, and come ready to experiment. If voice AI has felt exciting but messy, this hackathon is a chance to get your hands dirty with tools built for real conversations and real recovery when things get weird. Good ideas are welcome, half-finished ideas are welcome, and last-minute chaotic ideas are also very welcome.

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