Gul e Zara@l24259237530

Day One transforms startup validation through adversarial AI collaboration. Submit any business idea and watch six specialized AI agents debate it in real-time via WebSocket streaming. Our Research, Product, Finance, Legal, Marketing, and CEO agents don't just agree - Finance and Legal actively challenge proposals while the CEO resolves conflicts, simulating authentic boardroom dynamics. What makes Day One unique is its adversarial pattern: agents debate, disagree, and ultimately synthesize perspectives into actionable insights. In minutes, founders receive a comprehensive company dossier including market analysis, MVP scope, revenue model, legal structure, marketing strategy, and investor-ready elevator pitch. Built with FastAPI backend and native.builder frontend, Day One solves a global problem: startup validation is expensive (€5,000-€50,000+ for consultants) and time-consuming (weeks to months). We deliver the same quality analysis during a coffee break, democratizing access to expert startup validation for aspiring founders, entrepreneurs, accelerators, and students worldwide. The platform uses AI/ML API with gpt-4o-mini for fast, cost-effective inference across all six agents. Real-time WebSocket updates create an engaging experience where users watch agents think, challenge assumptions, and build consensus. The result is not generic advice but tailored, multi-perspective validation that identifies blind spots and strengthens business foundations before founders invest significant time or capital.

LeakLogic AI is an explainable AI business-auditing platform built for small and medium-sized businesses that need to understand where profit is being lost. Users upload sales, refunds, supplier-cost, and inventory CSV files through a modern web dashboard. The FastAPI backend validates and normalizes the data, then runs four deterministic Python and pandas detectors for refund anomalies, discount leakage, supplier margin compression, and inventory drag. Each finding includes the affected entity, measured change, supporting evidence, confidence score, estimated dollar impact, likely cause, and recommended action. Findings are ranked by financial impact so decision-makers can focus on the most important issues first. After the calculations are completed, Fireworks AI transforms the verified structured findings into a concise executive narrative. The model is instructed not to invent figures, causes, evidence, or recommendations. If the AI service is unavailable, LeakLogic AI automatically returns a deterministic fallback summary, ensuring the audit still completes. The application is fully containerized with Docker and Docker Compose. The production frontend is deployed on Netlify, while the FastAPI backend is deployed on Vercel. The project uses Fireworks AI API access from the AMD hackathon ecosystem and was developed for the Unicorn Track as a product-focused AI solution. LeakLogic AI turns disconnected operational data into a clear answer to one business question: where are we quietly losing money, why does it matter, and what should we review next?

🌎 Online Hackathon | 📅 August 3–10, 2026| 💻 Powered by native.builder The official native.builder hackathon, hosted by NativelyAI and lablab.ai. Join founders, developers, designers, and builders to create real AI-native applications powered by native.builder: from idea to deployed product, fully in the cloud. 💻 This hackathon is fully online. No travel required.

To participate in the hackathon, simply click Sign up with AMD. If you are not already a member of the AMD AI Developer Program (ADP), you will need to create an account. ADP members can access AI tutorials, experts, and community support. In addition, new members can claim a free month of DeepLearning.ai pro, $100 in AMD GPU cloud credits, and $50 in Fireworks AI API credits. All hackathon participants will receive on hackathon launch additional compute and API credits for their projects. Ready to build what's next on AMD? Sign up with AMD below to secure your spot.