• Hackathon Radar
Hackathons
  • Browse
  • Judge Opportunities
  • Sponsors
  • Organizers
  • Map
  • Discover
Explore
  • Stats
  • State of Hackathons
  • Changelog
Personal
  • Passport
  • Favorites
  • Settings

Build with DataHub: The Agent Hackathon

devpostHosted on Devpost

Fetched about 2 hours ago

Monday, July 6, 2026

to Monday, August 10, 2026

•

1 month long

Artificial IntelligenceDevOpsOpen Ended

Event Type

online

136

Participants

$20,500

Prize Pool

12

Est. Projects

Welcome to The Agent Hackathon!

Everyone's building AI agents, but the real magic happens when those agents have complete context to act on organizational data. Without reliable knowledge of schemas, lineage, ownership, ML metadata, and governance, agents hallucinate or get stuck on tasks any data engineer could finish in minutes.

That's where DataHub comes in.

DataHub is the open-source context platform that gives AI agents a complete understanding of your data stack — from raw tables to ML models. With an MCP Server, end-to-end ML lineage, and DataHub Skills that give agents direct access to catalog workflows, DataHub turns the modern data ecosystem into something agents can actually work with.

This hackathon is your invitation to build on that foundation. Whether you're shipping autonomous agents, generating production data code, protecting ML models, or building something entirely new — show us what's possible when agents have context.

DataHub powers data stacks at Apple, Pinterest, Netflix, and hundreds of other companies. The most adopted open-source metadata platform — and now the one agents need to do real work.

Ready to build agents that actually ship?

Check out the Resources tab for docs, SDKs, sample datasets, and starter kits. Then start building.

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