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The Persistent Context Sprint Hackathon | Live at MongoDB .Local Build Fest

lumaHosted on Luma

Fetched about 16 hours ago

Thursday, August 13, 2026

to Friday, August 14, 2026

•

8 hours long

Artificial Intelligence

Event Type

in person

$15,000

Prize Pool

Build in Less than a Day. Showcase on a Global Stage. The next generation of AI apps are built on systems that can remember, retrieve context, and take action over real application data. In this sprint hackathon, build AI applications powered by agent memory, where models work with databases, APIs, documents, code, and business systems to maintain and improve context over time. Whether you are creating autonomous developer tools, adaptive copilots, or entirely new AI experiences, explore what becomes possible when intelligence is grounded in persistent memory and the right data at the right time. Build with MongoDB and the best hackers in AI on-site at MongoDB’s .local Build Fest in San Francisco. Participants will join us on-site at Build Fest for a dedicated ~5-hour hacking block. A panel of first-round judges will select finalists, who'll then demo their projects on stage in front of the full conference reception before a winner is crowned. Winners will receive a truly unique prize package, including: $15,000 in total prize money1 year of Cursor Ultra (~$2,400 value)Backstage passes for the DJ set (TBA!) at the .local Build Fest After PartyPartner credits, swag, and more! This event is fully in person in San Francisco at MongoDB's .local Build Fest. Space is limited. Maximum team size of 4. Attendees must submit an application and be approved. This application will also serve as your registration for Build Fest.

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