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HACKSTORM 2.0: Vibe Coding to Physical AI

devpostHosted on Devpost

Fetched about 1 month ago

Saturday, May 23, 2026

to Monday, May 25, 2026

•

2 days long

Artificial IntelligenceIoTSocial Impact

Event Type

in person

212

Participants

$6,000

Prize Pool

19

Est. Projects

About the challenge

DON'T REGISTER HERE. PLEASE VISIT https://luma.com/08u0d1jt
We're back. 🔥

HackStorm 2.0 is coming to Silicon Valley — May 22–24, 2026.
HackStorm 1.0 started as an experiment: can a curated group of builders ship real AI hardware in 48 hours? The answer was 17 working prototypes from engineers at Stanford, Berkeley, Google, and NVIDIA.
Now we're going bigger.

HackStorm 2.0: Vibe Coding to Physical AI
Two tracks. Can you go from prompt to prototype in 48 hours?
🤖 AIoT Track — Build with the Tuya T5AI dev board
🦾 Robotics Track — Control the AgileX Piper robotic arm

$6,000 in cash prizes. Hardware gifted to every team. Expert consulting on prototyping, manufacturing, and fundraising for all participants.
This isn't a typical hackathon. We curate. We cap teams. We only accept builders who are serious about making AI physical.
Join us with explorers, makers and creators from tech giants, Stanford, Berkeley and Startups — this one's for you.
📍 Silicon Valley, CA
📅 May 22–24, 2026

Get started

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