đź’Ą Build with the future stack of AI
​​Build agents that don’t just think, they act. Build autonomous, self-improving AI agents that can tap into real-time data sources, make sense of what they find, and take meaningful action without human intervention. Your challenge is to design agents that are not just reactive, but continuously learn and improve as they operate—creating solutions that feel alive, adaptive, and built for real-world impact.
đź“… Schedule:
9:30 AM: 🚪 Doors Open
9:45 AM: 🎤 Keynote & Opening Remarks
11:00 AM: đź’» Start Coding!
1:30 PM: 🍕 Lunch
4:30 PM: 📤 Project Submission Deadline
5:00 PM: 👩‍💻 Finalists Presentations and Judging
7:00 PM: 🏆 Awards Ceremony
Prizes
Best use of Modulate's APIs
$1k for first place, $500 for second, $250 for 3rd
Best use of Airia
1st- $1000 Amazon Gift Card + $100 in Airia Credits
2nd- $750 Amazon Gift Card + $100 in Airia Credits
3rd-$500 Amazon Gift Card + $100 in Airia Credits
Best use of Lightdash
Cash prize: $1000 for first place, $500 for second place, $250 for third place
1st Prize Winner - General Judge
Best overall project as selected by the general judges.
Devpost Achievements
Submitting to this hackathon could earn you:
Judges
See Luma Page
​​Carter Huffman
CTO, Co-Founder @Modulate
​Graham Gullans
COO @Modulate AI
​Shahram Anver
Co Founder, CEO @Cleric
​Anders Erickson
Solutions Consultant @Airia
​Jenna Laughlin
Product Marketing @Airia
​Alec Jo
Head of Applied AI @ FLORA
​Eren Celebi
Principal Engineer @WPP
​Sreeja Apparaju
Machine Learning Engineer @Snap
​Pranit Gupta
Deployment Strategist @Palantir
Thor Schaeff
Developer Experience Engineer @Google DeepMind
​Ian Ahuja
Head of Sales and Partnerships @Lightdash
​Dave Petrovikj
Software Engineer @Meta
Judging Criteria
-
Idea - 20%
Does the solution have the potential to solve a meaningful problem or demonstrate real-world value? -
Technical implementation - 20%
How well was the solution implemented? -
Tool Use - 20%
Did the solution effectively use at least 3 sponsor tools? -
Presentation - 20%
Demonstration of the solution in 3 minutes -
Autonomy - 20%
How well does the agent act on real-time data without manual intervention?
Questions? Email the hackathon manager
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