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SF Enterprise HACKATHON

lumaHosted on Luma

Fetched about 20 hours ago

Friday, August 14, 2026

to Saturday, August 15, 2026

•

8 hours long

Artificial IntelligenceCloud Computing

Event Type

in person

SF Enterprise Hackathon Join us for the SF Enterprise Hackathon, an exclusive one-day hackathon designed for working professionals building the next generation of enterprise AI. Connect with engineers, founders, product leaders, and AI practitioners from leading startups and enterprises to solve real-world business challenges. Whether you're building AI agents, developer tools, enterprise workflows, or AI infrastructure, this is your opportunity to collaborate with some of the best talent in San Francisco and showcase your ideas to industry leaders. Event Details When: 9:30 AM – 7:00 PM, 14th August 2026 Where: San Francisco (Venue TBA) Who: Software Engineers, AI Engineers, Product Managers, Founders, Data Scientists, and other working professionals Theme: Enterprise AI & Intelligent Agents What to Expect An 8-hour enterprise-focused hackathonBuild AI solutions for real business problemsCollaborate with experienced professionals and foundersAccess to mentors from leading AI and enterprise companiesNetworking with engineering and product leadersLive project demos to judges and industry expertsExclusive swag, food, and refreshmentsExciting prizes and sponsor awards Whether you're building AI copilots, enterprise agents, developer tools, workflow automation, or infrastructure for modern businesses, this is your chance to create impactful products alongside San Francisco's enterprise AI community. Spots are limited. Register now and build the future of Enterprise AI.

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