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Agents Hack Day at Bright Data

lumaHosted on Luma

Fetched about 1 hour ago

Saturday, July 18, 2026

to Sunday, July 19, 2026

•

10 hours long

Artificial Intelligence

Event Type

in person

311

Participants

27

Est. Projects

AI Hack Day at Bright Data A full-day build session for people working on practical AI products, agents, web data workflows, retrieval, evals, infrastructure, and developer tools. We are taking over Bright Data's Web Data Loft for a focused Saturday of building. The day is designed for people who want enough time to explore a real idea, find collaborators, get unstuck, and demo something concrete by the end of the day. What to Expect A focused kickoff with the day's theme and constraintsLong blocks of protected build timeOptional team formation and check-insLunch and light food through the dayLightweight demos before closeA room of builders working on practical AI projects Good Project Fits AI agents and developer toolsWeb data, research, crawling, and automation workflowsRetrieval, evaluation, observability, and safety toolingInternal copilots and workflow automationMultimodal or data-heavy prototypes that can be demoed live Who Should Apply This is for engineers, founders, designers, product builders, students, 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: Saturday, July 18, 2026 | 9:30 AM - 7:00 PM PTWhere: Bright Data Web Data Loft, 625 2nd 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