Abishek Maharajan@abishek_m

The Problem: The Subscription Economy is worth $650B, yet it doesn't exist in Web3. Why? Because crypto wallets are "Push-Only"—you must manually sign every payment. On Ethereum, gas fees destroy micro-subscriptions ($1 payment + $5 gas = fail). The Solution: SubQ is a decentralized protocol that enables trustless, recurring payments. How it Works: The Vault (Smart Contract): Users deposit funds into a time-locked C++ Smart Contract on the Qubic Core. The Subscription: The user signs a "Subscription Intent" (Merchant ID, Amount, Interval). The Keeper (Automation): Our off-chain Node.js bot monitors the blockchain ticks. When CurrentTick > NextPaymentTick, it broadcasts a trigger transaction. Zero Fees: Because Qubic is feeless, a $0.99 subscription costs exactly $0.99. The "Hybrid Nostromo" Architecture: This project was a deep dive into bare-metal engineering. We built a custom infrastructure stack: Layer 1 (Core): Customized Qubic Core Lite running in WSL (Linux) with a custom C++ Random.h contract implementing a Faucet and Subscription logic. Layer 2 (Bridge): Official go-qubic-nodes bridging TCP to HTTP. Layer 3 (Data): A MongoDB Indexer tracking subscription states. Layer 4 (UI): A React Dashboard visualizing the contract state in real-time. The Journey: We faced massive hurdles running the Qubic Node on Windows due to memory mapping issues. In a "last-minute saver" moment, we pivoted to compiling the Core in WSL (Ubuntu), creating a hybrid environment where Linux runs the chain and Windows runs the application layer. This submission proves that complex dApps can be built on Qubic's bare metal today.

AI HR Onboarding Assistant is an AI powered workspace that helps HR teams review onboarding documents in seconds instead of hours. HR uploads contracts, CVs and policy acknowledgements and the assistant reads them like an HR specialist. It extracts key terms such as role, start date, probation period, notice period and work location, then highlights any missing or unclear compliance items such as NDA, ID copy or data protection consent. The system generates a structured onboarding summary that includes an employment overview, required access and equipment, a list of risks or gaps, recommended HR actions and a friendly welcome message that can be sent to the new hire. HR can edit any field before sharing or saving the case. The project targets HR partners, hiring managers and IT, who need a clear, consistent view of each new hire. The goal is to reduce manual review time, lower compliance risk and give every new employee a smoother day one experience.

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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.