We’re looking for the best devs, engineers, coders and hackers who are excited to build AI Agents.  

Requirements

What to Build

We’re looking for the best devs, engineers, coders and hackers who are excited to build AI Agents.  For the purposes of this hackathon, an AI agent is defined as: A software entity that operates autonomously within a defined environment, capable of making decisions and taking actions to achieve its set goals based on its perception and interpretation of data, without human intervention.

What to Submit // Use this as an outline for a high quality submission (feel free to optimize for brevity): 

1. Project Overview

  • Project Name: Provide a unique and descriptive name for your project.
  • Tagline: A brief, catchy sentence summarizing the essence of your project.
  • Elevator Pitch: A short paragraph (2-3 sentences) explaining what your project does and why it matters.

2. Inspiration

  • Background: Explain the problem or opportunity that inspired your project.
  • Motivation: Describe why you chose to tackle this problem and any personal stories or experiences that influenced your decision.

3. What it Does

  • Core Functionality: Detail the primary features and functions of your AI agent.
  • Use Cases: Provide examples of real-world applications and scenarios where your project can be used.

4. How We Built It

  • Technology Stack: List the programming languages, frameworks, libraries, and tools used.
  • Architecture: Provide an overview of the system architecture, including diagrams if necessary.
  • Development Process: Describe the steps taken during development, including key milestones and challenges overcome.

5. Challenges We Ran Into

  • Technical Hurdles: Discuss any significant technical problems faced and how they were resolved.
  • Project Management: Highlight any organizational or logistical challenges encountered during the hackathon.

6. Accomplishments That We’re Proud Of

  • Major Achievements: Showcase the most significant accomplishments, such as innovative features, successful integrations, or notable performance improvements.

Hackathon Sponsors

Prizes

$20,000 in prizes
First Place
1 winner

Runner Up Project
2 winners

Devpost Achievements

Submitting to this hackathon could earn you:

Judges

Mckay Wrigley

Mckay Wrigley
Founder

Aditi Joshi

Aditi Joshi
CoreML, Google

Priyaa Kalyanaraman

Priyaa Kalyanaraman
Co Founder, Lica

Adnaan Sachidanandan

Adnaan Sachidanandan
Founding Engineer, Vocode

Alex Reibman

Alex Reibman
Co Founder, AgentOps AI

Bob Remeika

Bob Remeika
CEO, ragie.ai

Braden Ream

Braden Ream
CEO & Founder, Voiceflow

Claire Xie

Claire Xie
Founder, Clink AI/Women in AI Club

Daniel Mason

Daniel Mason
CEO & Co-Founder, Anon

Dre Olgiati

Dre Olgiati
Distinguished Engineer, AI/ML, Linkedin

Eric Brownrout

Eric Brownrout
Co-Founder and CEO, Frigade

Jenny Sui

Jenny Sui
Principal, Craft Ventures

Matthew Rastovac

Matthew Rastovac
CEO, Respell

Mrinal Wadhwa

Mrinal Wadhwa
CTO, Ockam

Pedro Torruella

Pedro Torruella
DevRel Engineer, OctoAI

Praveena  Dhanalakota

Praveena Dhanalakota
Founder & CEO, Soopra

Ryan Cunningham

Ryan Cunningham
Co-Founder & Partner, SHACK15 Ventures

Ryan Hrabak

Ryan Hrabak
Principal, Craft Ventures

Sanjari Srivastava

Sanjari Srivastava
Founding Engineer, OrbyAi

Saqib Muhammad

Saqib Muhammad
Co-Founder, Resemble AI

Sean Whitney

Sean Whitney
Principal, Craft

Taranjeet Singh

Taranjeet Singh
CEO, Embedchain

Vanessa Yan

Vanessa Yan
Entrepreneur In Residence, Craft Ventures

Vivek  Gangasani

Vivek Gangasani
Sr. AI/ML Startup Solutions Architect , Amazon Web Services

Yada Pruksachatkun

Yada Pruksachatkun
Leading ML, Moonhub

Ankur Goyal

Ankur Goyal
Founder & CEO, Briantrust Data

Beyang Liu

Beyang Liu
CTO & Co Founder, Sourcegraph

João (Joe) Moura

João (Joe) Moura
CEO, crewAI

Michele Catasta

Michele Catasta
VP of AI, Replit

Natalie  Staudacher

Natalie Staudacher
Product Ops, OpenAI

Ja'dan Johnson

Ja'dan Johnson
Hack Week

Judging Criteria

  • Autonomy and Complexity
    The AI agent's autonomy, including the complexity of its decision-making, ability to self-heal from mistakes, and the number of steps it can independently execute
  • Achievement of Goals
    How effectively the agent's actions are directed towards achieving specific, measurable objectives.
  • Decision-Making Capability
    The sophistication of the decision-making process, including how well the agent can plan a series of steps, analyze data, make predictions, and select actions according to its plan.
  • Technical Merit
    The appropriateness and sophistication of the algorithms, data structures, and machine learning models used.
  • Judging Bonus
    The creativity, unique application, and presentation skills.

Questions? Email the hackathon manager

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