Pedro Soriano Vergara@petercodebot323

DealFlow AI is a multi-agent AI system that performs institutional-grade investment due diligence in minutes instead of days. Built on CrewAI v1.0 with three specialized agents — Researcher, Financial Analyst, and Report Writer — it processes a startup pitch deck PDF and produces a comprehensive investment memo covering market validation, competitive analysis, financial projections, unit economics, and key risks. The system orchestrates Qwen2.5-72B-Instruct via HuggingFace Serverless Inference, with Serper.dev for real-time web search and ScrapeWebsiteTool for source verification. Each agent uses CrewAI's tool-calling primitives to gather, validate, and synthesize findings autonomously. The Researcher extracts claims and validates them against external market data. The Financial Analyst models projections, unit economics, and generates charts. The Report Writer synthesizes everything into a professional investment memo formatted for VC partners. Architecture is AMD MI300X-ready: the inference layer uses an OpenAI-compatible endpoint pattern, allowing drop-in deployment to AMD hardware. For this submission, the AMD Fallback Protocol activated at T+60h when MI300X credits did not arrive, switching to HuggingFace infrastructure while preserving the AMD-optimized architecture as the production path. This convertes a vendor limitation into an architectural strength: the system is portable across inference providers without code changes. Target users: small VC funds, angel investors, accelerators (Y Combinator, Techstars), and family offices. The cost reduction is significant — what traditionally requires $5,000-15,000 USD per startup in analyst time becomes $5-50 USD in compute costs per analysis. Built for the AMD Developer Hackathon 2026 by Peter-code-bot under Pedro Soriano Vergara at SORV Capital and Hackathon Squad Anáhuac Puebla.

📅 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. 🏆Compete for a $10,000 prize pool 🧑‍💻 Apply now to design, prototype, and showcase enterprise-ready innovation.

⏱️ Build the next generation of Autonomous Agents in the heart of Europe’s AI Revolution. 📅 May 13 – 20, 2026 May 13 – 19: Online Build Phase. May 19: Onsite Build Day. May 20: Demo Showcase & Awards Ceremony. 📍On-site Venue (May 19–20): Fiera Milano (Rho), Milan, Italy 🤝 Join solo or with a team. 💰 $32,000+ prize pool 🧑‍💻 Apply now to turn your autonomous agent into a market-ready enterprise solution.

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.

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.