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Miro x Kiro LA hackathon: from board to build

lumaHosted on Luma

Fetched about 5 hours ago

Tuesday, June 9, 2026

to Wednesday, June 10, 2026

•

5 hours long

Artificial IntelligenceSocial ImpactFintech

Event Type

in person

93

Participants

8

Est. Projects

Join Miro and Kiro for a fast-paced, hands-on hackathon where you'll build the right thing, faster. In a few hours, teams align in Miro, build with Kiro, and turn stalled into shipped. Challenge overview Bring a stalled work project, under-resourced idea, or deprioritized workflow that needs improvementUse Miro to align your approach, map user journeys, and structure the solutionUse Kiro’s AI-powered tools to build, iterate, and shipWalk away with a working prototype or clear, demonstrable progress What You’ll Do in a few hours Map and align in Miro: problem statement, goals, scope, user journey, and architectureBuild and iterate in Kiro: scaffold, generate, refine, and integrate quicklyShip something real: a working prototype, process improvement, or proof of concept Requirements On the day of the event to qualify for judging, teams submit: 3-min demo (pitch + Kiro prototype walkthrough)Public Miro board (strategy, journey, metrics, pitch deck, workflows)Public GitHub repo (code, setup, architecture) Up to 10 selected teams will have three minutes to pitch live to judges from Miro and AWS. One team will be selected as the winner and will receive standout prizes. Who should join Product, engineering, ops, and cross-functional teams with real work to unblock.Makers who thrive under constraints and want a breakthrough moment.

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