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NYC Hackathon | Build AI Agents with Human Taste

lumaHosted on Luma

Fetched about 5 hours ago

Friday, June 5, 2026

to Friday, June 5, 2026

Artificial Intelligence

Event Type

in person

$150

Prize Pool

Most AI agents today are trained on whatever is loudest on the web. But real taste comes from deep engagement with a domain, human judgement, decades of expertise, and high institutional standards. On June 5th, we bridge that gap by powering AI with licensed, premium data from world-leading institutions. Powered by Redpine and People Inc., America's largest publisher. Supported by Modal, the serverless AI infrastructure (raised $355M series C), and Lovable, the no-code platform (raised $330M series B). 50 selected participants will be invited to work together onsite on meaningful problems, and ship agentic solutions in one afternoon together with some of the most brilliant minds in New York. What you get (free of charge) A room full of top builders and operators in AI to work with, and mentors to spar ideas withOpportunity to demo for jury and compete for prizes incl cash, credits and job opportunities100 Lovable credits$150 Modal creditsCoffee, drinks, snacks, wifi Who should come Anyone with an itch to build: Founders, scholars, business professionals and AI builders. No prior experience required.Solo applicants will get teamed up on the day.Spots are limited and accepted on an ongoing basis. Schedule 1.00 PM ET: Intro1.30 PM ET: Hacking4.00 PM ET: Demos & jury Q&A5.00 PM ET: Winner announcement & networking5.30 PM ET: End Partners Redpine is the leading AI data platform providing the grounding API infrastructure for agentic AI.People Inc. is America's largest publisher, with 40+ brands that reaches 200 million people a month.Lovable is the no-code platform that raised $330M series BModal is the serverless AI infrastructure that raised $355M series C.

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