Frank Melgoza@fmelgoza_Starwars

EraSandbox AI helps companies answer one of the hardest product strategy questions: what should we build next? Instead of relying only on brainstorming, surveys, or static trend reports, EraSandbox AI uses evidence-grounded era analysis and agent-style market reasoning to explore how customer needs, technology shifts, culture, trust, distribution, and market forces evolve over time. Users configure a product discovery scenario by selecting a product domain, market force, time horizon, and innovation posture. The backend analyzes synthetic evidence packs, extracts recurring signals, scores opportunity candidates, and recommends a product concept with a target customer, “why now” narrative, MVP blueprint, risks, and alternative opportunities. The prototype also connects product discovery to concept generation. After an opportunity is recommended, EraSandbox AI uses Imagen 4 on Vertex AI to generate a real product concept image and Veo on Vertex AI to generate a real concept video.

Avocado Orchard Digital AI is an AI-powered command center for avocado growers, designed to turn geospatial data into actionable orchard intelligence. The application uses a Cesium globe to navigate avocado-producing regions in Michoacán, Mexico, scan municipalities for orchard parcel candidates, and visualize detected parcels with GPS boundaries, estimated hectares, tree counts, NDVI, stress levels, and confidence scores. The backend is built with FastAPI and supports orchard detection, PostgreSQL-based archive persistence, company orchard networks, financial impact analysis, and Vision/3D analysis. A live AMD MI300X vLLM endpoint running Qwen3-32B powers the AI advisor for natural-language commands, workflow guidance, and grower recommendations. Users can scan an area, save detected orchards to an archive, compare municipalities, analyze financial risk, generate analytics summaries, and create 3D digital twin views for selected orchard parcels. The goal is to help growers make faster, data-informed decisions about monitoring, irrigation, stress risk, production planning, and orchard management.

Build solutions that improve how software is built. Work with an AI that understands your codebase, helping you reduce repetitive work and build with real context. ⏳ Build your project in 48 hours. 🚀 Get hands-on with IBM Bob and explore how AI fits into real development workflows before it becomes standard. 💡 Build tools and workflows that developers would actually use. ⭐ Learn directly from experts throughout the event. 🤝 Join a team or build solo. 💰 Prize pool: $10,000 🧑🏻‍💻 Register before the Kick-Off Stream and start building with Bob.

📅 May 11–19, 2026 • May 11 – 19: Online Build Phase. • May 18 (Hybrid Build Day – Online & Onsite) • May 19 (Demos & Awards – Online & Onsite) 🌍 Hybrid event. Join online from anywhere or build onsite at the venue. 🏆 Winners will be announced live on stage at the AI & Big Data Expo North America on May 19 📍 On-site Venue (May 18–19): San Jose McEnery Convention Center, CA, USA 🤝 Join solo or with a team. 🎟 FREE AI & Big Data Expo North America ticket included for participants that are able to join the on-site phase. 🏆Compete for a $10,000 prize pool 🧑‍💻 Apply now to design, prototype, and showcase enterprise-ready innovation.

Grab your ideas, spin up compute, and start building what’s next! Start with $100 in AMD Developer Cloud credits and begin building right away. Get access to hands-on tutorials, workshops, and curated learning resources to help you build faster and go further. To unlock credits and join the hackathon, sign up for the AMD AI Developer Program. 🤝 Go solo or team up — ship something real. 💰 $21,500+ total prize pool & 1 × AMD Radeon™ AI PRO R9700 GPU up for grabs. 📍 On-site Venue (May 9-10): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 📍On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑‍💻 Developers, builders, and innovators - bring your boldest ideas and let’s turn them into real AI systems on AMD.