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⚡ Build Fast. Launch Loud. ⚡

devpostHosted on Devpost

Fetched 12 days ago

Saturday, July 25, 2026

to Sunday, July 26, 2026

•

11 hours long

Artificial IntelligenceData ScienceWeb Development
Student only
This hackathons is only open to students. Double check the event page for more information as this may mean only those from a particular university/country are eligible.

Event Type

in person

3

Participants

$1,000

Prize Pool

0

Est. Projects

⚡ Build Fast. Launch Loud. ⚡ The Prompt Driven Hackathon Don’t write the code. Direct the agents.

A one-day in-person hackathon for builders exploring what it means to create with AI.

🗓️ Saturday, July 25, 2026
📍 555 University Ave, Palo Alto, CA 94301
🎟️ Free to join · Register at: https://promptdriven.ai/events/build-fast-launch-loud-prompt-driven-hackathon
🏗️ Hosted by Prompt Driven Development (PDD)

About the Hackathon

Build Fast. Launch Loud. is an in-person hackathon centered around AI-native building and Prompt Driven Development.

This event brings together developers, students, founders, and curious builders for a fast-paced day of creating, experimenting, and launching new ideas. Participants will work on projects that explore how AI can change the way products are designed, built, and shipped.

Rather than focusing only on traditional coding workflows, this hackathon invites participants to think at a higher level: defining product behavior, iterating quickly, and using AI tools to move from idea to working demo.

What is Prompt Driven Development?

Prompt Driven Development (PDD) is a way of building where prompts guide the behavior of the system and code becomes something that can be generated, refined, and regenerated over time.

In practice, that means participants will be encouraged to focus on:

  • clear product intent,

  • fast iteration,

  • structured prompting,

  • and building systems that are flexible, AI-native, and easy to evolve.

Whether you are deeply technical or simply excited about the future of building with AI, this hackathon is designed to be a place to experiment with new workflows and create something meaningful.

What to Expect

Participants can expect:

  • an in-person day of building and collaboration,

  • opportunities to explore AI-powered product development,

  • support from organizers, mentors, and sponsors,

  • and a final round of project presentations and demos.

Additional event details, resources, and sponsor opportunities will be shared with participants as the event approaches.

Who Should Join

This hackathon is open to people excited about building with AI, including:

  • developers,

  • students,

  • founders,

  • designers,

  • and interdisciplinary builders of all kinds.

You can come with a team or form one during the event.

Why Join

This is a chance to:

  • build something ambitious in a short amount of time,

  • explore new development workflows,

  • connect with other high-agency builders,

  • and share your work in a live, in-person environment.

If you’re interested in the future of AI-native product development, this is the room to be in.

Sponsors

Startup Island Taiwan image

Startup Island Taiwan

ElevenLabs image

ElevenLabs

elevenlabs.io

Render image

Render

Venture Dock image

Venture Dock

Nexla image

Nexla

Rtrvr.ai image

Rtrvr.ai

www.rtrvr.ai

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