Part 2 Toronto Hackathon — Demo Day
Builders wanted.
InstaLILY is assembling the first cohort of builders to join our new Toronto office. We’re kicking it off with a hackathon in partnership with Google DeepMind.
After a week of building remotely, we’re coming together for a Demo Day on October 2 to walk through your projects, announce the winner, and celebrate.
The winner will get fast-tracked to a final-round interview to join our Toronto team.
Build it. Break it. Deploy it.
Builders for the InstaLILY x Google DeepMind Toronto Hackathon have a week to work remotely on a multi-agent orchestration project that solves a single objective, from September 22 - 29.
You'll use Gemma to design agents that delegate work to each other, report back what they find, challenge each other's conclusions, and synthesize results.
You can work wherever and whenever works for you. All projects are due September 29.
Demo Day: October 2, 2026
Once all projects are submitted, our judges will choose 3 finalists from the 125 participants enrolled in the challenge.
Finalists will come together in Toronto for Demo Day on October 2 to show off what they’ve created in front of a panel of judges from InstaLILY and Google DeepMind.
Whether you’re a finalist, a participant, or a supporter, we’d love to see you there!
Note: If you would like to either participate or attend to support Demo Day, please make sure you register. If selected, you must attend in person to win.
Judges
Logan Ge: Founding Engineer @InstaLILY AI, UChicago Alum
Specializes in artificial intelligence and backend development. Passionate about designing scalable AI infrastructure.
Sai Koushik: AI Software Engineer @InstaLILY AI, UPenn Alum
Specializes in the LLM inference stack. Passionate about squeezing maximum performance from compute resources to speed up AI inference.
Justin Jones: Lead Software Engineer @InstaLILY AI, UChicago Alum
Specializes in machine learning. Passionate about nuanced information retrieval and memory insertion. Previously worked at Jane Street.
Alex Duchnowski: Software Engineer @InstaLILY AI, Brown Alum
Specializes in computational linguistics. Passionate about augmenting LLM reasoning abilities and creating scalable systems.
Nadia Houssein: Software Engineer @InstaLILY AI, NYU Alum
Specializes in full-stack development. Passionate about translating complex challenges into elegant, user-centric solutions.
Antônio Victor Machado de Oliveira: Software Engineer @InstaLILY AI, Caltech Alum
Specializes in Machine Learning and Chip Design. Passionate about AI infrastructure.
Aya Hajjeh: Software Engineer @InstaLILY AI, Dartmouth Alum
Specializes in full-stack and AI agent development. Passionate about democratizing AI through intuitive tools and the intersection of AI and human-centered design.
Aritra Dutta: Software Engineer @InstaLILY AI, Carnegie Mellon Alum
Specializes in AI/ML systems, intelligent agents, and cloud-native product development. Passionate about shipping scalable AI-native products from experimentation to production.
Kathleen Ge: Software Engineer @InstaLILY AI, Berkeley Alum
Specializes in AI systems and applied machine learning. Passionate about building scalable, intelligent systems that bring AI research into real-world applications.
Find out more at https://toronto26.instalily.ai/
About InstaLILY AI:
InstaLILY builds AI agents that learn how a business produces its results and do the work of sales, operations, service, and AI oversight inside the systems that distributors, manufacturers, logistics providers, healthcare providers, and field service companies already run. Founded by Amit Shah and Sumantro Das, InstaLILY has raised nearly $100 million from Energize Capital, Insight Partners, and Home Depot Ventures. Headquartered in New York, with offices in San Francisco, London, and Toronto.