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The Computer Use Agents Hackathon by H Company

lumaHosted on Luma

Fetched about 1 hour ago

Saturday, July 11, 2026

to Monday, July 13, 2026

โ€ข

1 day long

Artificial IntelligenceCloud ComputingWeb Development

Event Type

in person

The Computer Use Hackathon, by H Company - San Francisco 48 hours. 120 of the sharpest AI builders from San Francisco. Building relentlessly with the aim of developing new and useful approaches to AI agents. Powered by H Company, NVIDIA, Accel, AWS and Gradium, and organized by Iterate. H Company brings their Computer use Agent and specialized models. Possibilities are endless, and can save hours of work everyday. What will you build ? ๐Ÿ› ๏ธ What you get AWS special prizesNvidia prizes (RTX 5080)API credits (from H Company)1:1 mentorship from H Company researchers and engineersCurated datasets, evaluation harnesses and starter repos ๐Ÿ† Prizes Total: $3k+ in cash, RTX 5080 and $15k+ in credits And mystery gifts on top for category winners โœจ ๐ŸŽค Beyond the build Special events are planned ๐Ÿ‘€ stay tuned to see them announced! ๐Ÿ“ The essentials ๐Ÿ“… Saturday, July 11th โ€“ Sunday, July 12th, 2026๐Ÿ“ San Francisco๐Ÿ‘ฅ Teams of 3โ€“5 ยท 120 participants Come build something worth posting about. Spots are limited and selection is competitive.

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

  • โ€ข Hosted by a university
  • โ€ข Open to students
  • โ€ข 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