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​ExecuTorch Hackathon — Build On-Device AI on Snapdragon

​📍 The Web Data Loft by Bright Data · 625 2nd Street, San Francisco, CA 94107 📅 June 27–28, 2026 · On-site only

​Two days. Real Snapdragon hardware. AI that runs entirely on the phone in your hand.

​The ExecuTorch Hackathon brings 150 builders to San Francisco to take PyTorch models on-device with ExecuTorch and ship something real on Samsung Galaxy S25 Ultra devices powered by Snapdragon — no cloud round-trips, no latency, no compromise on privacy.

​This is a hands-on, in-person build hosted by Qualcomm, Meta, GitHub, and the PyTorch Foundation, with mentors from each on the floor for the full two days. You bring an idea and a team of 3–5; we bring the devices, the experts, and the tooling.

​What you'll build

​Working in teams of 3–5, you'll design, build, and demo a real, user-facing application that runs locally on a Snapdragon-powered mobile device using PyTorch and ExecuTorch. The strongest projects make a clear case for why the AI needs to run on-device — lower latency, offline capability, privacy-sensitive processing, energy efficiency, or a smoother real-time mobile experience.

​Suggested directions:

• ​On-device vision — real-time detection, recognition, scene understanding, accessibility, or camera-based tools

• ​Multimodal assistants — mobile assistants that combine text, images, audio, and context

• ​Generative AI on mobile — local generation, summarization, transformation, creative workflows

• ​Privacy-first AI — apps where keeping data on the device is the whole point

• ​Real-time edge intelligence — fast, low-latency tools for everyday mobile use

​Who should attend

​This event is built for people who want hands-on time with on-device AI, not a lecture about it. You'll fit right in if you're a:

• ​PyTorch / ML engineer who wants to take models from PyTorch to ExecuTorch and run them on real hardware

• ​Mobile or Android engineer curious about deploying AI locally on Snapdragon

• ​Optimization-minded developer working on quantization, NPU utilization, latency, and efficiency

• ​On-device vision, multimodal, or generative AI builder who wants a mobile target

• ​Founder or product builder prototyping privacy-first or offline-capable AI products

• ​Bay Area developer who wants two days of focused building alongside Qualcomm, Meta, and GitHub engineers

​Agenda (all times PDT / San Francisco local)

​Saturday, June 27

• ​8:30 AM — Doors Open

• ​9:30 AM — Check-in & Device loaning

• ​11:00 AM — Event Kick-Off & Partner Sessions

• ​12:00 PM — Hacking begins

• ​12:00 PM — Lunch

• ​7:00 PM — Doors close for the night

​Sunday, June 28

• ​8:30 AM — Doors reopen, hacking continues

• ​11:30 AM — Lunch

• ​1:00 PM — Submission deadline

• ​1:15–4:15 PM — Team demos (5 minutes per team)

• ​4:15–4:45 PM — Device collection

• ​4:15–4:45 PM — Judging & evaluation

• ​5:00 PM — Winners announced

• ​6:00 PM — Doors Close

​Prizes

​🥇 Top Award (selected by judges)

• ​Meta Quest 3 512GB Mixed-Reality Headset for every team member

• ​Qualcomm DevRel support to finish your app and prepare it for mobile deployment

• ​Blog + live stream feature to showcase your project

​🗳️ Team's Choice Award (selected by participant vote)

• ​Ray-Ban Meta AI Glasses for every team member

• ​Qualcomm DevRel support to finish your app and prepare it for mobile deployment

• ​Blog + live stream feature to showcase your project

​💻 Copilot-Powered Build Award (selected by GitHub judges)

• ​Up to 6 months of GitHub Copilot Pro+ and GitHub for Startups credits for teams who use Copilot creatively across the build

​Note: Top Award winners are not eligible for the Team's Choice Award.

​Hosts & partners

​Qualcomm — Maker of the Snapdragon platform powering the devices. The Qualcomm AI Hub, sample apps, and on-site DevRel engineers are your fast track to running models on the NPU.

​Meta — Creators of PyTorch and ExecuTorch, the on-device runtime at the heart of this hackathon, purpose-built to take PyTorch models to efficient mobile execution.

​GitHub — Bring Copilot as your AI pair programmer and compete for the Copilot-Powered Build Award, judged by the GitHub team.

​PyTorch Foundation — Steward of the open-source PyTorch ecosystem the entire event is built on.

​Samsung (hardware partner) — Shortlisted teams build and test on Snapdragon-powered Samsung Galaxy S25 Ultra devices.

​Bright Data — gives builders access to the infrastructure needed to collect, reason over, and act on live public web data at scale.

​Speakers, mentors & judges

• ​Lauren Lunde — Senior Program Manager, Qualcomm.

• ​Andrew Caples — Business Development Manager, Meta.

​Industry mentors on the floor across both days to keep your team unblocked.

​What you'll work with

​ExecuTorch · PyTorch · Snapdragon NPU · Samsung Galaxy S25 Ultra · Qualcomm AI Hub · GitHub Copilot, plus a full set of sample apps and developer resources shared ahead of the event.

​The venue — The Web Data Loft by Bright Data

​We're hacking at The Web Data Loft — a dedicated builder and event space in San Francisco's South Park / SoMa neighborhood, and already a gathering spot for the city's AI and agent-building community. It's the new SF home of Bright Data, the web data infrastructure powering AI and BI for 20,000+ companies.

​📍 625 2nd Street, San Francisco, CA 94107 — walkable from South Beach and the surrounding neighborhoods.

​Presented by lablab.ai

​lablab.ai is the global platform behind 100+ AI hackathons and a community of 250,000+ builders shipping with frontier AI. We turn weekends into working prototypes — and prototypes into companies.

​On-site in San Francisco only. Build where it matters most — on-device.