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AI Factory

Native.builder Hackathon

๐ŸŒŽ Online Hackathon | ๐Ÿ“… August 3โ€“10, 2026 | ๐Ÿ’ป Powered by native.builder


The official native.builder hackathon, hosted by NativelyAI and lablab.ai.


Join founders, developers, designers, and builders to create real AI-native applications powered by native.builder: from idea to deployed product, fully in the cloud.


๐Ÿ’ป This hackathon is fully online. No travel required.


Start building with native.builder โ†’
AI Factory event thumbnail

About

The AI Factory hackathon is an online event designed to introduce builders to native.builder and show how quickly an idea can become a functional, deployed application using AI agents.

At the center of it: building without limits. Whether you're a founder, developer, designer, or first-time builder, you'll go from an idea to a real, working product, fully in the cloud, with AI agents handling the heavy lifting.

You'll be working with native.builder, describing what you want to create and letting coordinated AI agents help with structure, interfaces, workflows, logic, backend services, data connections, and deployment.

What participants will do

Native.builder turns intent into functional software. During the hackathon, you'll move through the full builder workflow from idea to deployed product.

๐Ÿ’ก Describe your idea

Start with a clear problem and a defined target user, then describe what you want to build.

โšก Generate your application

Native.builder's AI agents generate your initial application structure, interface, and logic.

๐ŸŽจ Refine design and experience

Iterate on the design and user experience until the product feels right for your users.

๐Ÿ”Œ Add workflows and integrations

Connect data, external APIs, authentication, and AI-powered functionality to bring your product to life.

๐Ÿงช Test and improve

Test the full workflow end-to-end and refine based on real usage.

๐Ÿš€ Deploy and share

Publish your finished application to a publicly accessible URL for judges and the world to use.

Build something real

This hackathon prioritizes building over registering. Projects should go beyond a static landing page and demonstrate at least one meaningful workflow, interaction, automation, or AI-powered capability.

Challenge

The Challenge

Build without limits

How quickly can you transform a valuable idea into a functional product that real users can experience?

Build a functional AI-native product that solves a real problem for a clearly defined group of users. Participants should begin with an idea or user need and use native.builder to turn it into a working, deployed application. Projects should go beyond a static landing page and demonstrate at least one meaningful workflow, interaction, automation, or AI-powered capability.

Start Building โ†’
What Kind of Projects We'd Like to See
AI-powered SaaS products
Internal business tools
Customer portals and dashboards
Productivity and workflow apps
Research, education, or knowledge tools
Agentic multi-step applications
Data-driven apps with integrations
Consumer apps with strong UX
Tools that replace manual processes
Apps with startup or product potential

Projects with a clear target user, strong practical value, and potential for continued development after the hackathon will be prioritized.

Example Project Ideas

AI Customer Success Workspace

An application that analyzes customer conversations, identifies churn risks, creates follow-up tasks, and recommends responses.

Personal Research Agent

A tool that gathers information from several sources, organizes findings, compares claims, and produces a structured research report.

Startup Validation Platform

An application that helps founders define a customer segment, evaluate competitors, generate interview questions, and create an initial product plan.

Intelligent Operations Dashboard

A business application that connects operational data, highlights anomalies, summarizes performance, and recommends actions.

Adaptive Learning Assistant

An educational application that evaluates a learner's knowledge, generates personalized exercises, and tracks progress over time.

โš ๏ธ

A submission will not be eligible if it is:

Inaccessible to the judging team, primarily built outside native.builder, a direct copy of an existing product without meaningful differentiation, or submitted without a working demonstration.

Technology & Resources

Start Building โ†’

Native.builder is an AI-native application development platform that helps users transform intent into functional software. Users describe what they want to create, and coordinated AI agents assist with application structure, user interfaces, workflows, logic, backend services, data connections, and deployment.

This enables founders, developers, product teams, students, and creators to move from an initial idea to a usable application without manually configuring every part of the software stack.

Builder Access

Unlock the lablab.ai Builder Plan for free

Every participant can activate the lablab.ai Builder Plan free for 1 month.

Simply create your Native.Builder account and use the promo code below when upgrading your Builder plan.

Promo Code
AIFACTORY26
Valid for one month
Required Technologies and Tools
โœ“ Be created primarily using native.builder
โœ“ Include a functional application generated or developed through native.builder
โœ“ Be deployed or published through a publicly accessible URL
โœ“ Demonstrate meaningful use of native.builder rather than using it only to create a landing page
โœ“ Participants may use external APIs, AI models, databases, authentication providers, and third-party services where appropriate. The use of integrations, backend functionality, AI agents, data sources, authentication, and advanced native.builder capabilities is encouraged.
How the Workflow Works
1

Describe your idea

Describe your product idea in your own words.

2

Generate the application

Native.builder generates the initial application.

3

Refine design and UX

Refine the design and user experience.

4

Add workflows and data

Add workflows, data, integrations, or AI functionality.

5

Test and improve

Test and improve the application.

6

Deploy and share

Deploy and share the finished product.

Native.Builder Hackathon Starter Pack

Short tutorials to help participants go from idea โ†’ app โ†’ workflow โ†’ agent โ†’ Builder workspace โ†’ preview/iterate โ†’ deploy โ†’ feedback.

Start with an idea, follow the tutorials, understand the Builder workspace, build something useful, deploy it, and share feedback as you go.

1

Start Your First Native.Builder Project

2

Prompt to App: Build a Simple AI Tool

3

Add a Workflow to Your Builder App

4

Create An Agent-Powered App

5

Know What You Are Building

6

Preview, Iterate, and Improve Your App

7

Deploy and Share Your Native.Builder Project

8

How to Use Feedback Agent

Speaker: Adam V. Mlady โ€” DevRel, NativelyAI

More Short Tutorials

Native.builder

How to build a Palantir-Style Dashboard with Native.builder

Presented by: The NativelyAI Team

Native.builder

Building an Animated Map with Native.builder

Presented by: The NativelyAI Team

Native.builder

Building a Knowledge Graph with Native.builder

Presented by: The NativelyAI Team

Native.builder

Build a Healthcare App with Native.builder

Presented by: The NativelyAI Team

Native.builder

Build a 3D Cube in 60 seconds!

Presented by: The NativelyAI Team

Partner Tools

Technology Partners

Technology partners are joining the AI Factory โ€” Native.builder Hackathon to support builders with serverless inference, speech recognition, live web access, agent workflows, automation, reasoning, research, and multimodal applications.

โš ๏ธ

Important: AI/ML API & Featherless AI Redemption Rules

You may redeem either the AI/ML API coupon or the Featherless AI coupon โ€” not both. These two are technically equivalent, so pick whichever fits your project before claiming. Once you redeem one, the other can no longer be claimed.

Important:

  • โ€ข Only one coupon per team is allowed.
  • โ€ข The coupon must be redeemed by the team leader.

This restriction applies only to AI/ML API and Featherless AI. It does not affect Speechmatics or Bright Data โ€” you're free to claim those regardless of which of the two above you choose.

Questions about credits can be raised in the lablab.ai Discord.

AI/ML API provides access to leading AI models through a unified API, helping teams build agents, assistants, automation tools, and intelligent applications faster.

Build with it:
  • โ€ข Add model APIs to agent workflows
  • โ€ข Build reasoning, extraction, and summarization agents
  • โ€ข Power multimodal or automation-heavy projects
Access:

Credits

$10 per participant

Availability

Up to 500 participants

Access

First-come, first-served

Validity

Valid for the duration of the hackathon

Claim AI/ML API Coupon

Featherless AI provides serverless AI inference for open-source models, helping teams integrate specialized models into agents, workflows, and real-time applications.

Build with it:
  • โ€ข Add open-source model inference to agent workflows
  • โ€ข Build research, automation, and extraction agents
  • โ€ข Power agent reasoning, generation, & specialized model use cases
Access:

Credits

$25 per participant

Availability

Up to 500 participants

Access

First-come, first-served

Validity

Pay-per-request, active until credits run out

Claim Featherless Coupon View Setup Guide

Speechmatics provides state-of-the-art speech-to-text and voice AI, helping teams add accurate transcription and understanding to agents, workflows, and real-time applications.

Build with it:
  • โ€ข Add real-time or batch speech-to-text to agent workflows
  • โ€ข Build voice-driven automation, transcription, and analysis tools
  • โ€ข Power multilingual or accent-diverse voice applications
Access:

Credits

$50 per participant

Availability

Up to 100 participants

Access

First-come, first-served

Validity

1 month

Promo Code

LABLABHACKATHON50

Enter this promo code when prompted to activate your access.

View Setup Guide

Bright Data gives your Builder agents live-web capability โ€” Remote MCP at runtime and the Bright Data CLI, powered by Scraper Studio, inside coding agents at build time.

Build with it:
  • โ€ข Remote MCP โ€” 60+ tools, token-only auth, for live web access at runtime
  • โ€ข Bright Data CLI, powered by Scraper Studio, to generate and self-heal custom scrapers at build time
  • โ€ข Give agents live, structured access to the web for research, automation, and agentic workflows
Setup & Limitations:
  • โ€ข Free account required โ€” API token issued instantly via welcome email or account settings
  • โ€ข MCP is token-only auth, no proxy/username config needed
  • โ€ข CLI runs via npx, nothing to install
  • โ€ข Recommended: scope tools with &groups= / &tools= to keep agent context lean
Access:

Credits

$50 per participant

Validity

30 days

Availability

No cap

Bonus

5,000 free MCP req/mo

Promo Code

aiaccess50

Availability requires sign-up for the hackathon. Enter this promo code when prompted to activate your access.

๐Ÿ’ก Quick Note on Partner Access

โ€ข Partner credits, promo codes, and access details are provided directly by each technology partner and may depend on availability, eligibility, and platform terms.

โ€ข Some tools may require billing or subscription setup. Please cancel any service you do not plan to continue using after the hackathon to avoid future charges.

โ€ข lablab.ai helps coordinate access, but each platform manages its own credits, limits, billing, API keys, and availability.

๐Ÿ† Partner Prizes

$3,800 Prize Pool

Partner Challenges & Rewards

Build with Partner Tools and Win Extra Rewards

Featherless AI Challenge

Best Use of Featherless AI

Winning Team

$300 in Featherless Credits

Awarded to the top project built with Featherless AI

AI/ML API Challenge

Best Use of AI/ML API

Winning Team

$1,000 in AI/ML API Credits

Awarded to the top project built with AI/ML API

Speechmatics Challenge

Top Speechmatics Projects

1st Place

500 API credits

2nd Place

500 API credits

3rd Place

500 API credits

Bright Data Challenge

Best Agentic Use of Bright Data

Cash Prize

$500

Cash reward from Bright Data

Platform Credits

$500

Bright Data credits

Bright Data Bonus

Community Stretch Prize

Stretch Goal

Unlock It

$1,000 Bonus On the Line

Bright Data is putting up an extra $1,000 if their CLI repo hits 4,000 GitHub stars before the hackathon ends. We're close โ€” every star counts. Star now: github.com/brightdata/cli

Please note: Participation in lablab.ai hackathons is voluntary. Prizes and opportunities depend on eligibility, availability, and third-party sponsors, for whom lablab.ai is not responsible. Hackathon rules, prizes, and terms may change or be canceled at our discretion. Submissions must be original and MIT-compliant. Prize distribution may take up to 90 days.

Community and Social Channels

Stay connected with the teams behind the hackathon and follow along for updates, highlights, and future opportunities.

lablab.ai

NativelyAI

What to Submit

Each submission must include a functional, deployed application built primarily with native.builder, along with the details below.

๐Ÿ“‹ Project Information

  • โ€ข A clear description of the problem being solved
  • โ€ข A clearly defined target user
  • โ€ข A written explanation of how native.builder was used

๐ŸŽฌ Demonstration

  • โ€ข A short demonstration video of no more than three minutes
  • โ€ข At least one complete end-to-end user workflow shown

๐Ÿ”— Application and Tools

  • โ€ข The native.builder project or application URL
  • โ€ข A functional, publicly accessible application
  • โ€ข A list of any external APIs, datasets, or tools used

Important Requirements

Each submission must meet the following to be eligible:

Eligible submissions

  • โ€ข Created primarily using native.builder
  • โ€ข Demonstrates meaningful use of native.builder, not just a landing page
  • โ€ข Confirmed to have been created during the hackathon period

Not eligible

  • โ€ข Inaccessible to the judging team
  • โ€ข Primarily built outside native.builder
  • โ€ข A direct copy of an existing product without meaningful differentiation
  • โ€ข Submitted without a working demonstration

Ownership

  • โ€ข Participants retain ownership of their projects.
  • โ€ข Participants must have permission to use all submitted assets, datasets, and intellectual property.
Judging Criteria

How Projects Will Be Evaluated

Submissions will be scored across four dimensions by the judging panel.

Application of Technology

How effectively the chosen model(s) are integrated into the solution.

Presentation

The clarity and effectiveness of the project presentation.

Business Value

The impact and practical value, considering how well it fits into business areas.

Originality

The uniqueness and creativity of the solution, highlighting approaches and ability to demonstrate behaviors.

Hackathon Details

Everything You Need to Know

AI Factory โ€” Native.builder Hackathon is an online hackathon by NativelyAI. Discover all the relevant details below.

๐Ÿ“…

Where and when

This hackathon takes place fully online from August 3โ€“10, 2026.

๐Ÿง‘โ€๐Ÿ’ป

Who can join?

Founders and aspiring founders, product managers and designers, developers and AI engineers, students and researchers, creators, marketers, and no-code builders, and professionals looking to automate a workflow are all welcome.

๐Ÿค

What about teams?

If you don't have a team, don't worry! Connect with other participants on the lablab.ai Discord or the NativelyAI Discord to find teammates and bounce around ideas.

๐Ÿ› 

How to participate

Build and publish a complete product with native.builder. Describe your idea, generate your application, refine it, and deploy it before the submission deadline.

๐Ÿง 

Get Prepared with Native.builder

To get ready for the hackathon, explore native.builder and read up on how it works. Check out the documentation and getting-started guide for practical steps on describing your idea, generating your application, refining it, and deploying it.

Speakers, Mentors & Judges

Pawel Czech
Pawel Czech
Founder & CEO
NativelyAI
Edgars Adamovics
Edgars Adamovics
Developer Relations Lead
Speechmatics
Sriharsha Makineni
Sriharsha Makineni
Business Engineer
Meta
Shweta Chauhan
Shweta Chauhan
Software Development Engineer II
Amazon
Neeraj Kumar Singh Beshane
Neeraj Kumar Singh Beshane
Staff Security Infra Engineer
James Walker
James Walker
Forward Deployed Engineer
Kunal Arya
Kunal Arya
Director of Engineering, Progressive Leasing
Rahul Gupta
Rahul Gupta
Head of AI Foundry, Insight Global
Andrea Marazzi
Andrea Marazzi
Founder & CCO
NativelyAI
Santosh Mutyala
Santosh Mutyala
Developer relations
Featherless AI
Goutham Subramanian
Goutham Subramanian
Engineering Manager
Amazon
Rakesh S Rai
Rakesh S Rai
Enterprise Architect
Shalabh Gupta
Shalabh Gupta
Sr. Software Development Manager
Amazon
Suresh Kumar Gunasekaran
Suresh Kumar Gunasekaran
Senior Software Engineer
Dharmendra Singh
Dharmendra Singh
Senior Software Engineering Manager
Workday
Emmanuel Iriarte
Emmanuel Iriarte
Head of AI & Software Development
NativelyAI
Sanem Avcil
Sanem Avcil
AI & Blockchain Advisor
Kaisvault
Haris Jalal
Haris Jalal
SWE AI
oracle
Mahati Kumar
Mahati Kumar
Software Engineer
Meta
Kajal Singh
Kajal Singh
Product Manager
Oracle
Tingting Lin
Tingting Lin
Lead Product Manager (SAP)
SAP
Nicole Yuning Hao
Nicole Yuning Hao
Founding Engineer, Janet AI (YC S25)
Janet AI
Isaac Gemal
Isaac Gemal
Developer relations
Featherless AI
Muhammad Inaamullah
Muhammad Inaamullah
Technical & Business Mentor
lablab.ai
Vasu Raj Jain
Vasu Raj Jain
Senior Software Engineer
amazon
Bhargavi Vepuri
Bhargavi Vepuri
Director, Technology Lead
Gabriele Muratori
Gabriele Muratori
Founder @ UGC Roster
Nalini Garg
Nalini Garg
Associate Vice President
Amit Kumar Singh
Amit Kumar Singh
AVP โ€“ Lead Data Engineer | AI & Data Platform Engineering
Pawel Czech
Pawel Czech
CEO
NativelyAI
Emmanuel Iriarte
Emmanuel Iriarte
Head of AI & Software Development
NativelyAI
Edgars Adamovics
Edgars Adamovics
Developer Relations Lead
Speechmatics
Andrea Marazzi
Andrea Marazzi
Founder & CCO
NativelyAI
Isaac Gemal
Isaac Gemal
Developer relations
Featherless AI
Santosh Mutyala
Santosh Mutyala
Developer relations
Featherless AI

Event Schedule

  • To be announced
AMD AI League

Next Hackathon

AMD AI League

Starts Sep 1, 2026

Join this hackathon โ†’