On Friday, December 12 (9:30AM - 5PM PT) join us for a high-energy hackathon for AI builders, founders, and engineers ready to move fast.

Build fast and show what’s possible when operational data isn’t the blocker.

Use SnowLeopard.ai to build functional AI agents with live data, no long setups, no tuning MCP servers, and no wasted cycles.

Demo real products, get expert feedback, and walk away with prizes!

Ready to accept the challenge? Join us!

Limited spaces available.

Who should join?

You’ve shipped AI projects before and can turn an idea into a prototype in hours.
You thrive in fast-paced, collaborative environments.
You want to explore new agent ideas and APIs
Get mentor feedback, and connect with AI experts, founders and other builders.

What’s waiting for you?

🎁 Cash Prizes
🛠️ Hands-on expert mentorship
⚙️ Live integration support for APIs, workflows, and agent tools
🤝 A collaborative space designed for speed and real-time feedback

Requirements

Use SnowLeopard.ai APIs (plus any other AI tools you like)
Must use a SQLite database (bring your own or choose datasets onsite)
Bring Laptop + charger
Solo or teams up to 4
In-person demo required

Why Snow Leopard matters?

Snow Leopard lets agents retrieve live, high-fidelity data at query time, so decisions are made on real, up-to-date business information. It never stores or caches customer data; access is secure, scoped, and explicit. It generates native SQL in real time, avoiding the overhead and inaccuracy of vector/RAG pipelines. The system is fast, reliable, and hits ~95% accuracy out of the box, making it a strong foundation for production-grade agents.

Schedule:

9:30 AM: Doors open. Check-in + breakfast
10:00 AM: Welcome + lightning talks
11:00 AM: Start building
12:00 PM: Lunch (grab a lunchbox + build)
4:00 PM: Demos
4:30 PM: Snack break + judges deliberation
5:00 PM: Award announcement
5:30 PM: Wrap!

Judges:

Melody Meckfessel is a repeat start-up founder and engineer-turned-leader who’s shipped at global scale across the web, cloud, and now AI. She is the former CTO of Jasper.ai, co-founder/CEO of Observable, and ex-VP Eng at Google. She's a hands-on, human-first engineering leader focused on building responsible and reliable AI products and platforms. She advises and contributes to multiple early stage AI companies, mentoring and coaching founders. She is currently working on a stealth AI project..

Prashanth R. used to ship things at OpenAI and Google; now he’s tinkering with AI projects and having coffee chats. He helped launch ChatGPT Search and the Responses API at OpenAI, and at Google he helped build one of the world’s largest open knowledge graphs and scale the Spanner database.

Amy Tam is an investor at Bloomberg Beta and former product manager at LinkedIn. She previously worked at RAND on AI policy and AI evaluations.

Deepti Srivastava is the founder and CEO of Snow Leopard AI, helping enterprises build production AI agents powered by live, accurate business data. With nearly 20 years in enterprise data platforms, she was the founding Product Lead for Google Spanner, Head of Product at Observable, and a distributed systems engineer at Oracle.

Mentors:

Wayne Sutton is Head of Community and Startup Programs at Convex, and he works with startups to build developer communities through strategy, events, and operations, leading programs like Convex Champions and Convex for Startups and managing the Convex Discord community. With over 15 years of experience, he's hosted 100+ events in 50+ cities, collaborated with startups and Fortune 500 companies, and built community programs that help startups engage developers, gather feedback, and foster collaboration to support growth and product adoption.

Luke Lalor is a Founding engineer at Snow Leopard AI. He's passionate about making developers' lives easier.

🧑‍💻 Our Community Sponsors:

This hackathon is proudly supported by our community partner, Women in AI Club, whose mission is to empower, educate, and inspire women to lead in AI fields.

Ship Agents Fast with Snow Leopard The Operational Data Hackathon