
Next Hackathon
Band of Agents Hackathon
Starts Jun 12, 2026
Join our $1,000,000+ startup challenge series powered by Surge
📌 This announcement outlines the launch of a Global Human+AI Exchange - aligning universities, global cities, talent networks, and industry to accelerate human-centered AI innovation, technology transfer, and economic growth.
⏱️ 8 days to turn your idea, or existing product, into an investable demo.
📅 February 6 – 15, 2026
• Feb 6 – 14 (Online Phase) - Collaborate and build online with developers and AI innovators from around the world. All projects must be submitted by the end of the online phase on February 14th.
🕙 Doors open at 10:00 AM, first come, first served.
• Feb 14 (On‑site Build Day) - Selected participants will be invited to an exclusive in‑person session to refine their projects and connect directly with mentors.
• Feb 15 (On‑site Demos & Awards) - Live pitching sessions to a panel of judges and ecosystem partners, followed by the official winner announcement.
🌟 Get feedback from startup mentors and technical experts.
📍 On-site Venue (Feb 14–15):
MindsDB SF AI Collective
3154 17th St, San Francisco, California, USA
📲 Real-time on-site updates (SF)
For real-time announcements and information during the on-site portion (Feb 14–15), join the LabLab SF Chapter WhatsApp group:
🤝 Join solo or with a team. New founders and existing startups are welcome.
🏆 $1,000,000+ in credits, token prizes, perks and funding opportunity.
📍 On-site participation is by invitation only. Travel and accommodation expenses will not be covered.
🧑💻 Apply now to build, validate, and pitch with purpose.

Our AI hackathon brought together a diverse group of participants, who collaborated to develop a variety of impressive projects based on:
4410
Participants
356
Teams
94
AI Applications
This event has now ended, but you can still register for upcoming events on lablab.ai. We look forward to seeing you at the next one!
Check out Upcoming Events →⚠️ Prizes Eligibility:
To be eligible to win prizes, all teams must post their final submission video on X (Twitter) and tag both
in the same post.
The direct link to this post must be included in the official submission form. (For more information, please go to the "What to submit?" section below
Teams that do not meet this requirement will not be eligible to win prizes.
Media & Community partners
In this hackathon, you will design and build software-first robotics systems that operate entirely in simulation, combining AI, automation, and modern cloud infrastructure.
Your goal is to create a production-minded robotics application that demonstrates autonomy, decision-making, and real-world relevance. Physical robots are not required. Simulation-first approaches are strongly encouraged.
Teams should think like startup builders and deliver solutions that could realistically evolve into real products.
Tracks
Participants must choose one primary track. You may incorporate ideas from multiple tracks, but your submission should clearly align with one main focus.
Challenge: Build an AI system that controls a robot operating fully within a simulated environment.
This track focuses on robot autonomy and control, including movement, task execution, and decision-making for simulated robots such as mobile robots, robotic arms, or multi-robot systems.
Your solution should demonstrate how a robot:
• Reacts to environmental changes
• Completes objectives without manual intervention
Projects should emphasize robust, adaptable behavior, not scripted or hard-coded sequences. Teams are encouraged to show how their control logic could be transferred to real robots in the future.
Challenge: Build systems that use simulation as the primary environment for training, testing, or validating robotic behaviors before deployment on real robots.
This track focuses on reducing the cost, time, and risk of real-world robotics development. Projects may include:
• Training pipelines
• Domain randomization setups
• Evaluation and benchmarking frameworks
• Tools for validating robotic performance across scenarios
Solutions should clearly show how simulation outputs can be reused or adapted for real robotic systems, and how the approach scales beyond a single demo.
Challenge: Build a simulated robotic system that performs a concrete physical task through interaction with objects or its environment.
Examples include:
• Picking and placing objects
• Sorting or organizing items
• Simple assembly
• Structured interaction with the environment
Projects should focus on reliable task execution under different simulated conditions rather than perfect physics or overly complex scenarios. Solutions should demonstrate repeatability, basic failure handling, and clear performance metrics.
Your mission is to build and launch an AI-native product using X402 Payments - a programmable payments infrastructure designed for the next generation of agentic and automated economies.
In this edition of Launch & Fund Your Startup, you’ll have 6 days to validate an idea, build a working prototype, and present a credible path toward real users and on-chain revenue.
This challenge is open to everyone - from early-stage founders to existing startups looking to expand or pivot their products.
Your submission should clearly show how your solution integrates or reimagines X402 Payments in the context of real-world financial interaction
Tracks
Choose one - or mix and match. Each track explores a core use case of programmable payments in the age of agentic systems:
Challenge: Build a system where two or more agents autonomously trigger and settle payments—e.g., for usage-based services, access control, or dynamic pricing. Your product should demonstrate a working agentic payment loop with minimal human input.
Challenge: Develop an AI assistant that can make payments on a user’s behalf—with built-in rules like spending limits, approval checkpoints, or identity verification (KYC/AML). Showcase how your product handles decision-making, compliance, and safeguards.
Challenge: Build a tool for businesses to manage real-time payments and financial operations—like tracking cash flow, enforcing policies, or generating audit-ready records. Highlight automation, accuracy, and visibility into payment activity.
Challenge: Launch a digital product or service with a built-in revenue model using X402. Think: token-gated access, real-time rev-splits, or instant payouts to contributors. Your prototype should demonstrate seamless, trustless commerce flows.
This edition is software-only and simulation-first. Your project should run entirely in simulation, digital twin environments, or as robotics tools/platforms — no physical hardware is required or expected.
You’re free to choose the stack you know best. The focus is on end-to-end value for a real user, not on any specific framework.
🧪 Software-only robotics
• Simulation-based – robots, environments, and behaviors running in a simulator
• Digital twins or virtual environments – modeled warehouses, factories, farms, buildings, etc.
• Robotics devtools / platforms – dashboards, orchestration, monitoring, analytics, CI/CD, or other software for robotics teams
If judges can open your app in a browser and see your product or simulation in action, you’re in the right place.
⚠️ Important – Prize Eligibility Requirement:
To be eligible to win prizes, ALL teams must complete ALL of the following steps:
1. Post your final submission video on X (Twitter)
2. In the SAME post, tag BOTH:
3. Copy the link to the post
4. Paste the link into the official submission form
⚠️ Note:
Teams that do not complete all steps above will not be eligible to win prizes.
Projects should demonstrate multi-step, agentic or rule-based workflows, realistic future-of-work use cases, and a
production-style web application
— all running on Vultr infrastructure.
Simulation-first is encouraged. Physical robots are optional.
What We’re Looking For
AI / Backend on Vultr
• Deploy a VM-based backend on Vultr (mandatory)
• Vultr should be used as the central system of record and control, not just for static hosting
• Vultr Serverless Inference is optional for agentic or reasoning workflows
Robotics & Simulation Integration
• Strongly recommended (but optional)
• Use simulators, digital twins, or virtual environments
• Physical robots are optional
• Robots or simulations should communicate with your Vultr backend
Future of Work Focus
Address real operational challenges in industries such as:
• Warehousing & logistics
• Manufacturing & factories
• Healthcare & hospitals
• Retail & stores
• Construction & facilities
• Office operations & enterprise workflows
Show how software platforms + automation improve daily work.
Production-Ready Web Application
• Must be accessible via a public web browser
• Demonstrate a real product-style experience
• Clear user flows, not just a local demo
Key Positioning
• Vultr is the central backend powering your system
• Your application coordinates planning, workflows, and operations
• Focus on platform thinking, not just a one-off demo
Developer Expectations
Each team must provide:
✅ GitHub repository with setup and documentation
✅ Vultr VM backend deployment
✅ Public demo URL
✅ Recorded demo video
• Clear explanation of architecture and use case
Technology
Required
• Vultr VM backend
• Web application deployed on Vultr
Strongly Recommended
• REST or WebSocket APIs
• Simulation or digital twin integration
• Web dashboards for control and monitoring
Optional
• Vultr Serverless Inference (for agentic workflows or lightweight AI)
• Physical robots (simulation-first)
⚠️ Note: Vultr GPUs are not available for this event.
Resources:
Gemini is Google’s family of next-generation multimodal AI models designed to power intelligent, autonomous systems. Gemini can reason across text, images, code, video, and audio, making it well suited for building AI agents that perceive environments, plan actions, and adapt to changing conditions in robotics and simulation contexts.
Google AI Studio is a browser-based environment where developers can quickly explore and prototype with Gemini models. Teams can test prompts, refine outputs, and experiment with multimodal inputs before integrating Gemini into production workflows using the Gemini API.
Kiro is an AI-powered development platform built on AWS infrastructure that helps developers quickly turn ideas into code and automated workflows. It provides AI-driven tools for task automation, code generation, and agent orchestration, making it ideal for hackathon projects that need rapid prototyping and intelligent agents.
Access to Technology:
NVIDIA
NVIDIA is supporting hackathon teams with access to cloud GPU credits and Isaac Sim, a powerful robotics simulation platform, to help teams prototype AI solutions faster.
Access to Technology:
• The first 200 team leaders to take action will receive $60 worth cloud credits for their teams.
• Credits provide access to Brev cloud instances and Isaac Sim launchables.
• Credits are valid for the duration of the hackathon.
🚀 How to Get Started:
Team leaders can claim their $60 credit by redeeming it through the link below and then sharing access with their teammates:
👉 Redeem NVIDIA Credits
📘 Resources:
⚠️ Important Notes:
• Only the first 200 team leaders will be able to claim credits.
• Each code is redeemable only once.
• lablab.ai and NVIDIA are not responsible for credit mismanagement.
Speaker: Paul Ruiz - Developer Relations Lead: Embodied AI
Topic: Google DeepMind Tech Overview
Speaker: Joanna Slupczewska - Partnerships & Marketing Manager
Topic: AI & Robotics Hackathon Kick off Stream
Speaker: Sanskriti Harmukh - Junior Developer Relations
Topic: Supabase
👉 Read more about Supabase
Speaker: Rob Dahal - Developer Advocate | Agentic AI
Topic: Reading Emotions The Programming Way with Kiro & AWS
Speaker: Sanskriti Harmukh - Junior Developer Relations
Topic: Coolify
👉 Read more about Coolify
Speaker: David Yam - AI Solutions Architect, Alibaba Cloud International
Topic: Model Studio is your gateway to Qwen
⚠️ Disclaimer on $SURGE token: Surge Tokens ($SURGE) are NOT vested.
⚠️ Important – Prize Eligibility Requirement:
To be eligible to win prizes, ALL teams must complete ALL of the following steps:
1. Post your final submission video on X (Twitter)
2. In the SAME post, tag BOTH:
3. Copy the link to the post
4. Paste the link into the official submission form
⚠️ Note:
Teams that do not complete all steps above will not be eligible to win prizes.
📋 Basic Information
• Project Title
• Short Description
• Long Description
• Technology & Category Tags
• Final Submission Video Link (X / Twitter – Required)
📸 Cover Image and Presentation
• Cover Image
• Video Presentation
• Slide Presentation
💻 App Hosting & Code Repository
• Public GitHub Repository
• Demo Application Platform
• Application URL
For further details and guidance, please visit Submission Guidelines
⚠️ Important – Prize Eligibility Requirement:
To be eligible to win prizes, ALL teams must complete ALL of the following steps:
1. Post your final submission video on X (Twitter)
2. In the SAME post, tag BOTH:
3. Copy the link to the post
4. Paste the link into the official submission form
⚠️ Note:
Teams that do not complete all steps above will not be eligible to win prizes.
Join lablab.ai hackathon and innovate using the latest models in the market. Discover all the relevant details below.
The start date of the hackathon is mentioned according to the date specified on the hackathon page, cover and schedule. The hackathon will take place on the lablab.ai platform and lablab.ai Discord server.
Everyone is welcome to participate, regardless of previous AI or coding experience! We encourage anyone with a passion for AI or an interest in exploring how it can be used in their field to join.
If you don't have a team, don't worry! You can connect with other participants from all over the world on our dashboard or Discord server. We also recommend checking out our Discord server to find teammates and bounce around ideas. You can join the server here.
The hackathon will take place online on lablab.ai platform and lablab.ai Discord Server. Please register for both in order to participate. To participate click the "Enroll" button at the bottom of the page and read our Hackathon Guidelines and Getting Started Guide.
To get ready for the hackathon, visit our AI Tech pages and read up on all the available technologies. You can also check out our tutorials page for more information on how to use them. Get a head start on your project by using the resources on lablab.ai!
Submissions from the teams participating in the Launch and Fund Your Own Startup-Edition 1 event and making it to the end 👊
Check out the roster and find teams to join

Next Hackathon
Band of Agents Hackathon
Starts Jun 12, 2026