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AI Hack Day: Codex & More

lumaHosted on Luma

Fetched about 2 hours ago

Wednesday, July 8, 2026

to Thursday, July 9, 2026

•

11 hours long

Artificial Intelligence

Event Type

in person

408

Participants

36

Est. Projects

AI Hack Day: Codex & More An invite-first HackerSquad build day for people who want quiet time with serious AI tooling. We will spend the day building with Codex, agent workflows, multimodal tools, retrieval, evals, and whatever else feels useful once everyone is in the room. The point is not a big stage or a loud launch. The point is to give a small group of builders enough space to try things, compare notes, and ship something real by the end of the day. What to Expect A focused kickoff with the theme and constraintsLong blocks of protected build timeOptional check-ins for people who want feedbackLightweight demos at the end of the dayA room of builders working on practical AI projects Good Project Fits Coding agents and developer toolsInternal copilots and workflow automationAI apps with clear users and real constraintsRetrieval, evaluation, observability, or safety toolingMultimodal prototypes that can be demoed live Who Should Apply This is for engineers, founders, designers, product builders, and technical operators who like building more than talking about building. Admission is free and approval-based because space is limited. Food will be provided. When: Wednesday, July 8, 2026 | 9:30 AM - 8:30 PM PTWhere: AWS Builder Loft, 525 Market St, San Francisco, CA

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