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Deriv AI Talent Sprint

A hackathon for builders ready to shape real AI solutions

Join Deriv and lablab.ai for a high-intensity hybrid hackathon where top builders create AI prototypes, demo their work, and get fast-tracked to interviews.


When

Sat, Jan 31, 2026 - On-Site Pre-Hackathon: Deriv AI Meetup (Dubai)

Fri, Feb 6 - Opening words, Challenge, and Hackathon kick-off. (Dubai)

Sat, Feb 7 - Build and ship your prototype - 12 hours (Onsite +Online)

Sun, Feb 8 - Demos, judging, and next steps for standout teams. (Onsite +Online)


On-site Pre-Hackathon: Deriv AI Meetup

Sat, Jan 31, 2026 · 2:00–6:00 PM (GST) · Dubai

In-person talks, workshops, team formation, and networking with the Deriv team.

👉 Deriv AI Meetup registration



What's in it for you

USD $10,000+ in prizes across categories

Mentors available to unblock you when you're stuck

Fast-track interviews for top performers - skip the queue

Real problems to solve - not toy demos


Format

Teams of 1-3

Hybrid: Dubai on-site or fully remote

On-site spots confirmed after screening


Location

One by Omniyat, 24th Floor, Al Mustaqbal Street, Business Bay, Dubai, UAE

Travel and accommodation not provided.


Apply now

Spots are limited. Shortlisting begins right after the event.

Deriv AI Talent Sprint event thumbnail

Hackathon Overview

Our AI hackathon brought together a diverse group of participants, who collaborated to develop a variety of impressive projects based on:

1944

Participants

365

Teams

167

AI Applications

Winners and Finalists

  • We are in the process of selecting the finalist teams.
  • Your voice matters! Vote on your favorite projects in the section below.
  • Join us for the winner announcement stream, which will be streamed live on Twitch.

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 →

Event Schedule

  • To be announced
About Deriv

Deriv is bringing job-ready builders together in Dubai for a focused, high-signal hackathon experience designed to showcase real engineering ability in a real-world setting.


This event is built for experienced technical participants (primarily AI engineering, software engineering, data, and QA profiles) who thrive on problem-solving, teamwork, and shipping working prototypes under time pressure. High-potential final-year students and fresh graduates may be considered as an additional pipeline.

Top-performing participants will be shortlisted for interviews, with the objective of moving from hackathon to interview and hiring within 4–8 weeks. Participants must be professionally fluent in English.

Hackathon Details

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

🦸🏼‍♂️ Who can join?

Job-ready technical professionals with 2–8 years of experience, as well as fresh graduates, in AI engineering, software engineering, data, or QA. Must be fluent in English.

🛠️ How to participate

Register on lablab.ai and join the lablab.ai Discord Server. Click "Sign up" at the bottom of this page and review our  Hackathon Guidelines and Getting Started GuideThe event runs hybrid: on-site in Business Bay, Dubai + online via lablab.ai.

😅 What if I don't have a team?

No problem. Find teammates on our dashboard or Discord server.

CHALLENGE

Build a job-ready AI prototype with a clear real-world use case

Your mission is simple: build and demo a real AI product prototype in a way that demonstrates strong execution, clear thinking, and team delivery.




What you need to deliver

  • By the end of the hackathon, your team should have:

    A working demo (something we can run and test)
    A clear problem statement (what you’re solving and for who)
    A solution flow (how the user interacts with it, end-to-end)
    Solid implementation (clean, maintainable code and sound architecture)
    A short presentation (what you built, how it works, why it matters)




  • What you can build

    Pick one direction and go deep. Examples include:

    • • AI workflow assistants (automation, internal tools, triage, knowledge support)

    • • Data & insights tools (dashboards, monitoring, anomaly detection, forecasting)

    • • QA & engineering automation (test generation, bug triage, regression detection)

    • • Risk / security / compliance support (alerts, auditing flows, policy enforcement)



        Choose at least one challenge track from the list below
        and build AI solutions that solve real-world problems while pushing the boundaries of what’s possible!




How to begin

• Choose your challenge | Pick at least 1 challenge that excites you (you may choose more)

• Work solo or with your team | Be creative and exchange different ideas to choose the best one

• Questions? Contact us on lablab.ai Discord Server


☁️ AWS Build Resources


  • A total of 57 AWS accounts will be available for onsite participants on Feb 6 during the hackathon kick-off in Dubai. AWS credits are exclusively for onsite participants.

    At the start of the kick-off, we’ll display a QR code with a redemption link. If you plan to use AWS for your project, simply scan the QR code to claim access.

    Access is first scanned, first served, so we recommend arriving early to secure your account.

Build with your favorite technology

Select your preferred technology for app development.


Use any preferred technology to develop a Generative AI (GEN AI) prototype and showcase your creativity and innovation.


  • 👉 Visit our AI Tech pages to discover available technologies.

  • 👉 Check out our tutorials for detailed guidance on implementation. Start your project with Lablab.ai resources!

    Disclaimer: Please note that we do not offer access to any technology, so participants should use publicly available tools and resources.

☁️ AWS Build Resources


  • A total of 57 AWS accounts will be available for onsite participants on Feb 6 during the hackathon kick-off in Dubai. AWS credits are exclusively for onsite participants.

    At the start of the kick-off, we’ll display a QR code with a redemption link. If you plan to use AWS for your project, simply scan the QR code to claim access.

    Access is first scanned, first served, so we recommend arriving early to secure your account.

  • Hackathon Free Resources Starter Pack

    1. Hosting & Backend (Free / Generous Free Tiers)

    Compute & APIs

    • Vercel
      Best for frontend + serverless APIs. Zero config, fast deploys, great for demos.

    • Netlify
      Similar to Vercel. Works well for static sites and simple functions.

    • Railway
      Easy backend hosting for Node, Python, Postgres, Redis.

    • Render
      Good for APIs, background jobs, and databases with free tiers.

    • Cloudflare Workers + Pages
      Excellent for edge APIs, auth gateways, and fast global demos.

    Databases

    • Supabase
      Postgres + Auth + Storage. Ideal for hackathons.

    • Neon
      Serverless Postgres with instant provisioning.

    • Firebase (Firestore + Auth)
      Great for real-time apps and fast prototyping.


    2. AI Models & LLM APIs (Free Credits / Free Usage)

    General LLMs

    • OpenAI (Chat Completions / Responses API)
      Usually comes with free credits for new accounts.

    • Google Gemini (Gemma Models)
      Generous free tier, good for reasoning and multimodal use cases.

    • Mistral AI
      Fast and open-friendly models with free tiers.

    Open Source Models

    • Hugging Face Inference API
      Access to thousands of models. Free tier available.

    • Ollama or LM Studio (Local LLMs)
      Run models like Llama, Mistral, DeepSeek locally.

    • Groq Cloud
      Ultra-fast inference with free access for supported models.

    LLM Frameworks

    • LangChain and LangGraph
      Industry giant for general-purpose development

    • Google ADK
      Designed to empower developers to quickly build, manage, evaluate and deploy AI-powered agents.

    Specialized AI

    • Whisper / Open-source ASR for speech-to-text (free when run locally)

    • Stable Diffusion (via Replicate or HF Spaces) for images

    • Sentence Transformers for embeddings and search


    3. Data Sources (Open, Safe, Hackathon-Friendly)

    General Open Data

    • Kaggle Datasets
      Finance, healthcare, fraud, NLP, user behavior.

    • Google Dataset Search

    • data.gov and data.europa.eu

    • World Bank Open Data

    • UN Data

    APIs for Demos

    • OpenWeather API

    • NewsAPI

    • Alpha Vantage (finance)

    • CoinGecko (crypto market data)

    • OpenStreetMap APIs

    Synthetic Data

    • Mockaroo
      Generate realistic fake datasets.

    • Faker libraries https://github.com/joke2k/faker
      Create users, transactions, logs, events.

    • Synthea (healthcare synthetic data)

    No real PII or production data should be used.



    4. UI / UX / Design Tools (Free Plans)

    Design & Prototyping

    • Figma
      Wireframes, UI kits, collaborative design.

    • Penpot
      Open-source alternative to Figma.

    • Canva
      Pitch decks, landing pages, quick visuals.

    • Google AI studio
      Google AI Studio is a build-first tool for developing application logic and functional code.

    • Google Stitch
      Google Stitch is a design-first tool for creating visuals and user interfaces (UI).

    UI Components

    Icons & Assets

    • Heroicons

    • Lucide Icons

    • Phosphor Icons

    • Unsplash / Pexels for images


    5. Low-Code / No-Code (Optional but Allowed)

    • Bubble

    • Retool (free tier)

    • Xano

    • Appsmith

    • n8n for workflows and automations

    Must clearly show where AI logic lives and how it adds value.


    6. Auth, Identity & Integrations

    • Clerk.dev

    • Auth0 (free tier)

    • Supabase Auth

    • Firebase Auth

    Integrations

    • Slack APIs

    • Discord Bots

    • Email APIs (Resend, SendGrid free tier)

    • Webhooks


    7. Collaboration & Dev Tools


    8. Demo & Presentation

    • Loom for demo recordings

    • Google Slides / Canva for pitch decks

    • OBS if doing live demos

    • Mermaid.js for architecture diagrams


    9. Guardrails & Expectations

    • Use only public, open, or synthetic data

    • No scraping behind logins or paywalls

    • No production credentials or real user data

    • AI must be core to the solution, not a wrapper

    • Code should be deployable or runnable locally


    10. Suggested “Golden Path” Stack (If Teams Are Stuck)

    • Frontend: Next.js + Tailwind

    • Backend: Vercel or Railway

    • DB: Supabase

    • AI: OpenAI or Gemini

    • Design: Figma

    • Data: Kaggle or Mockaroo

Judging Criteria
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 & creativity of the solution, highlighting approaches and ability to demonstrate  behaviors.

What to submit?

📋 Basic Information

• Project Title

• Short Description

• Long Description

• Technology & Category Tags

📸 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


lablab.ai

Topic: Hackathon Submissions Process

▶️ Watch Video

Speakers, Mentors & Judges

Pawel Czech
Pawel Czech
CEO
NativelyAI
Seema Hallon
Seema Hallon
CHRO
deriv
Divya Rajan
Divya Rajan
Senior Manager, Business Performance
deriv
Ansh Choudhary
Ansh Choudhary
AI engineer
deriv
Sasha Aptlin
Sasha Aptlin
Founding AI Engineer @ ReachRx.ai
lablab.ai
Suneeth Maraboina
Suneeth Maraboina
Technology Leader
Apple
Syed Affan
Syed Affan
Full-Stack AI Developer
Khalifa University Enterprises Company
Mallika Rao
Mallika Rao
Engineering Lead-Netflix, Walmart, Twitter
Netflix
Andrea Marazzi
Andrea Marazzi
Founder & CCO
NativelyAI
Carl Michael Whiteside
Carl Michael Whiteside
VP of Design
deriv
Akhil John
Akhil John
Senior Software Engineer
deriv
Nethradevi Baskar
Nethradevi Baskar
AI engineer
deriv
Pavan Gondhi
Pavan Gondhi
Sr Vice President
JP morgan
Mahati Kumar
Mahati Kumar
Software Engineer
Meta
Nandita Krishnan
Nandita Krishnan
Data Scientist
Adobe
Xavier Gorriz Torner
Xavier Gorriz Torner
VP of Business Intelligence and Data Engineering
deriv
Harsh Solanki
Harsh Solanki
AI team lead
deriv
Abhishek  Shingadiya
Abhishek Shingadiya
AI engineer
deriv
Michał Sieńko
Michał Sieńko
General Partner
Sycamore Capital
Banani Mohapatra
Banani Mohapatra
Senior Manager, Data Science
Walmart
Hari Kanagala
Hari Kanagala
Group Product Manager AI/ML
RB Global
James Lloyd
James Lloyd
AI Strategic Advisor
NEOM
Rotimi Akinyele
Rotimi Akinyele
VP of security
deriv
Christopher Hernandez
Christopher Hernandez
AI team lead
deriv
Tingting Lin
Tingting Lin
Lead Product Manager
SAP
Bhavnish Walia
Bhavnish Walia
Sr. Risk Manager AI/ML
Amazon
Mohamed Ezzat
Mohamed Ezzat
AI/ML Tech Seller Lead - MENAT
AWS
Muhammad Inaamullah
Muhammad Inaamullah
Technical & Business Mentor
lablab
Rahul Gupta
Rahul Gupta
Head of AI Foundry
Evergreen
Pawel Czech
Pawel Czech
Co-Founder
New Native
Andrea Marazzi
Andrea Marazzi
CCO
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 Brulé
Philippe Brulé
CTO
Restack
Pawel Czech
Pawel Czech
Co-Founder
New Native
Andrea Marazzi
Andrea Marazzi
CCO
New Native
Pawel Czech
Pawel Czech
Co-Founder
New Native
Andrea Marazzi
Andrea Marazzi
CCO
New Native
Pawel Czech
Pawel Czech
CEO
NativelyAI
Rotimi Akinyele
Rotimi Akinyele
VP of security
deriv
Carl Michael Whiteside
Carl Michael Whiteside
VP of Design
deriv
Christopher Hernandez
Christopher Hernandez
AI team lead
deriv
Abhishek  Shingadiya
Abhishek Shingadiya
AI engineer
deriv
Nethradevi Baskar
Nethradevi Baskar
AI engineer
deriv
Sasha Aptlin
Sasha Aptlin
Founding AI Engineer @ ReachRx.ai
lablab.ai
Michał Sieńko
Michał Sieńko
General Partner
Sycamore Capital
Bhavnish Walia
Bhavnish Walia
Sr. Risk Manager AI/ML
Amazon
Syed Affan
Syed Affan
Full-Stack AI Developer
Khalifa University Enterprises Company
Nandita Krishnan
Nandita Krishnan
Data Scientist
Adobe
Mohamed Ezzat
Mohamed Ezzat
AI/ML Tech Seller Lead - MENAT
AWS
Rahul Gupta
Rahul Gupta
Head of AI Foundry
Evergreen
Mallika Rao
Mallika Rao
Engineering Lead-Netflix, Walmart, Twitter
Netflix
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 Brulé
Philippe Brulé
CTO
Restack
Pawel Czech
Pawel Czech
Co-Founder
New Native
Andrea Marazzi
Andrea Marazzi
CCO
New Native
Andrea Marazzi
Andrea Marazzi
Founder & CCO
NativelyAI
Suneeth Maraboina
Suneeth Maraboina
Technology Leader
Apple
Xavier Gorriz Torner
Xavier Gorriz Torner
VP of Business Intelligence and Data Engineering
deriv
Harsh Solanki
Harsh Solanki
AI team lead
deriv
Ansh Choudhary
Ansh Choudhary
AI engineer
deriv
Tingting Lin
Tingting Lin
Lead Product Manager
SAP
Pavan Gondhi
Pavan Gondhi
Sr Vice President
JP morgan
Mahati Kumar
Mahati Kumar
Software Engineer
Meta
Hari Kanagala
Hari Kanagala
Group Product Manager AI/ML
RB Global
Banani Mohapatra
Banani Mohapatra
Senior Manager, Data Science
Walmart
James Lloyd
James Lloyd
AI Strategic Advisor
NEOM
Muhammad Inaamullah
Muhammad Inaamullah
Technical & Business Mentor
lablab
Mallika Rao
Mallika Rao
Engineering Lead-Netflix, Walmart, Twitter
Netflix
Pawel Czech
Pawel Czech
Co-Founder
New Native
Andrea Marazzi
Andrea Marazzi
CCO
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 Brulé
Philippe Brulé
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
PRIZES
🏆 Total prize pool: USD $10,000+ in prizes + career opportunities
Please be aware 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.
PRIZES
🏆 Total prize pool: USD $10,000+ in prizes + career opportunities
Please be aware 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.

🎓 Workshops


Get inspired and boost your skills with exclusive sessions from our partners and experts. Watch them anytime!

lablab.ai

Speaker: Pawel Czech - CEO of NativelyAI & Founder of lablab.ai

Topic:
 Welcome to LabLab - #1 Ecosystem for AI Builders!

▶️ Watch Video

Community & Social Channels


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

lablab.ai
NativelyAI
Deriv
Surge

Winner Submissions 🏆

Submitted concepts, prototypes and pitches

Submissions from the teams participating in the Deriv AI Talent Sprint event and making it to the end 👊

Band of Agents Hackathon

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Band of Agents Hackathon

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