BuildFest: Demos & Challenges
What if you could see 10 AI tools in action, try them yourself, and use them to solve real problems — all in one session?
Buildfest: Demos and Challenges is a demo day, hands-on event where sponsors will show you what their tools can do, and then give you a small challenge to solve.
No long workshops. No hours of setup.
You’ll see → try → build → solve.
Whether you're a developer, student, founder, designer, researcher, or just curious about AI, you can jump in at your level.
Event Format
You’ll start with a set of 10 sample datasets covering different real-world problems. You can choose one of them to work with, or bring your own dataset and problem.
[10 Sample Datasets — Link]
Pick a problem
You can work on problems like: Build a system that creates study plans for students, Help shoppers find the right product based on their needs, Automate information extraction and processing from invoices, Build an AI travel planner, Summarize notes and extract important actions, Match candidates to jobs and help recruiters screen applications, Analyze restaurant data and identify inventory/demand problems, Build an AI system that answers common customer questions, Turn a simple idea into a structured content workflow, Find and evaluate promising problems and ideas or choose your own problem and build something that matters to you.
How It Works
Each sponsor will have a short demo + challenge.
First, they'll show you their product in action and explain what it does, why it is useful, and how you can use it.
Then you'll get a small challenge where you can try the tool yourself.
You don't need to use every tool. Use whichever sponsor tools make sense for your problem — one, several, or all of them.
The goal is to understand how each tool can be used and then combine the right tools to solve a problem.
Speakers & Challenges
Builderbase - Sean Chiu
Demo: See how organizers create better events using BuilderBase
Tenki — Colin Lowenburg
Demo: See how to take code or an AI workload and run it in a sandbox or on cloud compute. Learn how runners can make experiments and workloads easier to execute reliably.
Challenge: Take one of the datasets and run an analysis or experiment in Tenki. Change something, run it again, and compare the results.
Flatkey — Sofia Kao
Demo: See how one API can give you access to hundreds of AI models. Try different models on the same task and compare their results, speed, and cost.
Challenge: Pick an AI task from the dataset and test it with multiple models. Decide which model you would use and explain why.
FinChip — Gary Yang
Demo: Learn how to give an AI agent reusable skills so it can perform specific tasks more consistently.
Challenge: Create a skill for a task such as reviewing a resume, analyzing data, or classifying customer requests. Test your skill on multiple examples.
Kylon — Saurabh Khire
Demo: See how to turn a business process into an AI agent that can understand a request, use information, and take action.
Challenge: Build a small agent for a problem such as customer support, recruiting, or research. Decide which parts the agent handles and when it should ask a human.
Ask the W — Yezhisai Murugesan
Demo: Learn how to decide what is actually worth building with AI. Identify which tasks can be automated, where human judgment is needed, and what you should build next.
Challenge: Take one problem and break it into tasks. Decide what an AI agent should do, what a human should do, and where automation would create the most value.
Rocket Ride — Joe Maionchi
Demo: See how to connect multiple steps into an AI/data pipeline directly in your IDE, from raw data to processing, AI calls, and structured output.
Challenge: Turn a messy dataset into a simple pipeline. For example: raw idea → AI processing → structured result → final output.
Sartorial — Sumit Jagdale
Demo: See how product discovery can go beyond simple search by understanding context such as fit, color, material, reviews, images, and why a product should be recommended.
Challenge: Choose a customer and recommend the best product for them. Explain not only what you recommend, but why it is the right choice.
Wasmer — Ayush Ojha
Demo: Learn how WebAssembly can let you package code and run it across different environments. See a piece of code execute without being tied to one specific environment.
PromptQL — Jakob Prince
Demo: See how a team can work with AI together, turning conversations and questions into actual execution. PromptQL works like a shared AI workspace where teams can collaborate, explore information, and move from discussion to action.
Challenge: Pick a problem or dataset and work with your team in PromptQL to turn a question into an actionable result. See how collaboration with AI can help you go from an idea or conversation to execution.
Bridge US - Vin Wanfan
Demo: See how Bridge US match right people in events
You Can Mix and Match Tools
The challenges are not isolated.
You can use one tool, several tools, or all of the sponsor tools to solve your problem.
For example, you could:
Choose a problem → use Ask the W to plan it → use Flatkey to choose a model → build a pipeline with Rocket Ride → create multiple agents with Kylon → do code review in Tenki → Run workload in wasmer.
Or ignore that entire workflow and create your own.
The point is to experiment and discover how different AI tools fit together.
Sponsors
Tenki
Tenki provides sandbox environments, cloud compute, and runners for executing code and workloads. It gives builders a place to experiment, run, and scale their work.
Rocket Ride
Rocket Ride helps developers build AI and data pipelines directly in their IDE. It makes it easier to connect data, AI models, processing steps, and outputs into repeatable workflows.
Flatkey
Flatkey is a unified access layer for AI, connecting teams to 328+ official AI models through one API. It supports models from providers such as GPT, Claude, Gemini, DeepSeek, Qwen, and more, with transparent pricing and automatic failover.
FinChip
FinChip provides agent skills that give AI agents reusable capabilities for performing specific tasks. Skills can help make agents more useful, structured, and consistent.
Kylon
Kylon helps you create AI agents that can run business processes. You can turn workflows into agents that understand tasks, use tools, and take actions.
Ask the W
Ask the W helps you figure out what is worth building with AI. It helps identify good ideas, tasks that can be handled by agents, places where human judgment is needed, and the next steps to take.
Sartorial
Sartorial helps make products more intelligently discoverable and recommendable. It adds context such as social proof, material, fit, color, promotions, image meaning, and brand-specific ranking judgment to product discovery.
Wasmer
Wasmer provides a way to execute WebAssembly universally. It helps developers package and run code across different environments in a portable and consistent way.
PromptQL
PromptQL is a multiplayer AI workspace with a built-in Wiki for AI-first teams. Think of it like Slack for teams working with AI — where conversations can turn into shared knowledge, decisions, and execution.
Hosts & Partners
Crewbase Collective
Crewbase Collective runs hackathons, builder events, and community experiences across San Francisco. They bring builders together to learn, experiment, and create new ideas.
BuilderBase
BuilderBase is a platform for running world-class hackathons. It helps organizers create better events while giving companies a high-ROI channel for distribution, talent, and product adoption.
AI House
AI House is an execution-first community for AI builders focused on real outcomes. It brings together engineers, founders, and builders who want to build, ship, and launch real AI systems.
HiDevs AI House
HiDevs AI House is Bangalore's dedicated AI execution hub for engineers, builders, and early-stage founders. It focuses on hands-on building and launching real AI systems rather than passive learning.
NERDCONF
NERDCONF brings highly motivating and educational technology talks to audiences across Argentina, featuring speakers and experts from the technology world. Their goal is to connect the community with people, ideas, and opportunities from the tech ecosystem.
Articuler.ai
Articuler.ai helps people find the right professionals for their goals — whether that's raising a round, finding a co-founder, or entering a new market. It matches people based on intent and provides context and personalized outreach strategies to help turn introductions into meaningful connections.
Bridge US
Bridge US is an AI-powered networking platform for conferences and events. It helps attendees find the right customers, partners, engineers, investors, and other connections, while helping organizers increase attendee satisfaction and demonstrate measurable value to sponsors and exhibitors.
RocketRide
RocketRide is an open-source, developer-native AI meta-harness. Build, debug, and deploy production AI workflows right inside your IDE. And with RocketRide Cloud, teams can offload the complexity of AI infrastructure and focus on building solutions, with cost-efficient execution through our proprietary model server, shared pipelines for collaboration, higher performance, and seamless scalability.
🎁 Free credits: We're giving away free credits for RocketRide Cloud, 100% off your first purchase with a promo code. Join the Discord to grab yours.
📖 Step-by-step guide: Setup, demos, and how to build on RocketRide (Cloud + open-source): click here
🚀 Submit your project: Post it in the #showcase channel on Discord. Make sure to include your project’s GitHub link and all your .pipe files (import them from RocketRide Cloud). Need help? Just ask our bot in #support, whether it’s about your project or the tools.
Event Terms & Consent
By registering, you agree to the event terms and conditions. RocketRide reserves the right to refuse admission or remove attendees at its discretion to keep things safe and enjoyable for everyone.
Photography and video recording will take place throughout the evening and may be used by RocketRide for future marketing, promotional, and community content. By registering, you also consent to receiving the RocketRide newsletter and updates about future events at the email address you provide. You can unsubscribe anytime via the link in any email.
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Come Build
Bring a problem you're curious about, pick a dataset, try the tools, and see what you can build.
No long workshops. No need to know every tool beforehand. Just pick a challenge and start building.