Prompt to Product Hackathon: Build Faster with Lablab's new AI-Powered feature

Turn your ideas into reality using lablab.ai's newly added AI-powered low-code/no-code development feature!

This hackathon invites participants to explore a new way of software creation, leveraging AI automation to streamline development from idea to working prototype with minimal coding effort. Whether you're a developer, entrepreneur, or creative thinker, this is your opportunity to experience the future of AI-assisted software building.


πŸ“… March 7 - March 9 – Participate online, collaborating with innovators and builders to explore a new way of software development.


πŸ’‘ Discover the power of AI-assisted development to accelerate product creation, automate workflows, and prototype with ease.


πŸ† Compete for an opportunity to participate in the exclusive lablab NEXT acceleration program.


⏳ Spots are limited! Secure your participation today!


Prompt to Product Hackathon: Build Faster with Lablab's new AI-Powered feature event thumbnail
About the Hackathon

The Prompt-to-Product Hackathon is an AI-driven low-code/no-code challenge designed for builders of all backgrounds to explore the latest lablab.ai feature, making software development faster, smarter, and more accessible.


This event is not just about hackingβ€”it's about reshaping how applications are built with AI-assisted automation. Whether you’re a seasoned coder or a first-time creator, this hackathon will empower you to turn ideas into functional products effortlessly.

πŸ”Ή No extensive coding required – build innovative applications with minimal technical expertise.
πŸ”Ή Exclusive access – be among the first to test lablab.ai’s latest AI-powered feature.


Create AI-powered applications effortlessly using lablab.ai’s newly added feature

Traditional software development is slow, requires coding expertise, and demands extensive resources. AI-driven no-code/low-code tools are changing this by allowing users to build fully functional applications through AI-assisted automation.


This hackathon challenges participants to develop innovative applications using lablab.ai’s newly added AI-powered feature. Your goal is to explore how AI can automate coding, simplify development, and make software creation more accessible.


πŸ’‘ Whether you're building a web app, automating a workflow, or creating an AI-powered tool, this is your chance to experience AI-driven development firsthand.


🌍Use AI automation to accelerate the software development process!

πŸ”Ή Build smarter – Let AI help generate functional applications faster than ever.
πŸ”Ή Automate workflows – Leverage AI-driven automation to streamline complex processes.
πŸ”Ή Prototype effortlessly – Go from idea to product in record time with AI-assisted development.

Final Notes

βœ… All solutions must utilize lablab.ai’s new AI-powered feature.
βœ… You are encouraged to explore AI automation for greater innovation!

NEXT AI Startup ideas

lablab NEXT is a dynamic, 6-week accelerator program designed to fast-track startup prototypes and MVPs (Minimum Viable Products) into the market. Participants receive intensive, hands-on guidance from industry experts, ensuring they have the tools, knowledge, and support necessary for success.


For our top performers from the lablab.ai community, it is an excellent opportunity to bring their innovative ideas to life and make a real impact in the competitive business world. 🌎


πŸ’‘ 
AI Startup ideas: 
Too many duplicate submissions are crowding already saturated areas. This document contains 200 unique ideas, each capable of becoming a successful AI companyβ€”and surprisingly, few of our hackers have explored them πŸš€

β€’ Use ideas from this document to inspire your hackathon project. Build an AI-powered tool that could form the basis for a startup.


πŸ†Acceleration Opportunity

The top teams from this hackathon will  get a fast-track interview for the exclusive 6-week lablab NEXT incubator program.

Please be awareΒ that participation in lablab.ai hackathons is voluntary and subject to the specific rules and conditions outlined for each event. While we strive to provide a fair and rewarding experience for all participants, we cannot guarantee entry or success in securing prizes. All prizes and opportunities are subject to availability and participants must meet the established criteria to qualify. lablab.ai is not responsible nor held liable for any commitments or offers - including programs, giveaways, or prizes - made by third-party sponsors or partners of the hackathon. The availability and delivery of third-party prizes or benefits are solely at the discretion of the respective sponsors and are not guaranteed by lablab.ai. We reserve the right to make amendments, modifications, or cancellations to any part of the hackathon (including full cancellation of the event itself), including prizes and terms of participation, at our sole discretion. Whenever possible, we will endeavor to notify participants of significant changes within a reasonable timeframe. All submissions by participants must be original work, open source, and compliant with the MIT License unless specified otherwise. By participating, you agree to these terms, the overall event terms, and the lablab.ai general terms and are encouraged to review all event-related information carefully. Prize Distribution: lablab.ai and its partners reserve the right to distribute all prizes within a 90-day period following the end date of the hackathon. This period allows for the proper processing and verification needed to award prizes appropriately.

What to submit?

πŸ“‹ Basic Information

β€’ Project Title

β€’ Short Description

β€’ Long Description

β€’ Technology & Category Tags

πŸ“Έ Cover Image and Presentation

β€’ Cover Image

β€’ Video Presentation

β€’ Slide Presentation

πŸ’» App Hosting & Code Repository

β€’ Public GitHub Repository

β€’ Demo Application Platform

β€’ Application URL

For further details and guidance, please visit Submission Guidelines


Judging Criteria
Application of Technology
How effectively the model(s) are integrated, focusing on the agent's ability to perform tasks autonomously, automate processes, work efficiently, and maintain high productivity.
Presentation
The clarity and effectiveness of the project presentation, ensuring the solution is well-communicated and its technical details, business value, and originality are easily understood.
Business Value
The agent's impact and practical value, considering how well it fits into business areas and enhances human-agent collaboration to improve business processes and outcomes.
Originality
The uniqueness and creativity of the solution, highlighting innovative approaches and the agent's ability to demonstrate imaginative and distinctive behaviors.

Hackathon Details

Join lablab.ai hackathon and innovate using the latest models in the market. Discover all the relevant details below.

πŸ—“οΈ Where and when

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.

πŸ¦ΈπŸΌβ€β™‚οΈ Who can join?

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.

πŸ˜… What about teams?

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.

πŸ› οΈ How to participate

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.

🧠 Get prepared / Use Lablab.ai to Learn About AI

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!

Speakers

Pawel Czech
Pawel Czech
Co-Founder
New Native
Joanna Slupczewska
Joanna Slupczewska
Partner & Marketing Manager @ New Native
New Native
Pawel Czech
Pawel Czech
Co-Founder
New Native
Sergey Nuzhnyy
Sergey Nuzhnyy
Head of Developer Relations
AI/ML API
Sergey Nuzhnyy
Sergey Nuzhnyy
Head of Developer Relations
AI/ML API
Junnan Li
Junnan Li
Research Lead
Rhymes.ai
Gus Martins
Gus Martins
Staff Developer Relations Engineer
Google
Philippe BrulΓ©
Philippe BrulΓ©
CTO
Restack
Pawel Czech
Pawel Czech
Co-Founder
New Native
Andrea Marazzi
Andrea Marazzi
CCO
New Native
Emmanuel Iriarte
Emmanuel Iriarte
AI Architect
New Native
Jonathan Rundberg
Jonathan Rundberg
AI Automation Lead
New Native
Jens Ingelstedt
Jens Ingelstedt
Global Head of Accelerators
New Native

  • To be announced
Enrolled

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