Ahmed Faraz@ahmed_faraz702

Modern users often accumulate hundreds of unorganized files in folders like Downloads, leading to clutter, lost documents, and wasted time. Manually organizing files is repetitive, error-prone, and rarely maintained consistently. AutoSort is a privacy-first autonomous agent built on OpenClaw that tackles this problem through intelligent local execution. The agent scans a chosen directory, examines file names, extensions, and metadata, and uses multi-step reasoning to decide how to categorize and rename each file. It then performs real file system actions, creating folders, moving files, resolving conflicts, and detecting duplicates. What sets AutoSort apart from traditional scripts is its persistent memory and adaptive learning. The agent remembers user preferences across sessions for example, learning that career-related PDFs belong in a specific folder and uses this knowledge to make better decisions in the future. It also includes self-correction logic i.e if a move fails or a conflict occurs, the agent retries using alternative strategies. Additionally, AutoSort supports a long-running watch mode, allowing it to monitor folders and proactively maintain organization over time. All operations are executed locally through OpenClaw, ensuring full privacy, user control, and reproducibility. This project demonstrates meaningful autonomy, practical tool usage, persistent memory, and real-world utility, showing how OpenClaw agents can deliver tangible everyday value.

Qubic Smart Contract Studio is an AI-powered development environment that democratizes Qubic blockchain development. Our tool eliminates the $200K+ barrier of hiring specialized C++ developers by letting anyone write smart contracts in plain English. Key Features: • AI Code Generation: Natural language → production C++ contracts in seconds • FREE Security Auditing: Real-time vulnerability detection (normally $50K-150K per audit) • One-Click Deployment: Deploy to Qubic testnet/mainnet instantly • 10x Faster Development: What takes weeks now takes minutes • Monaco Editor Integration: Professional IDE experience with syntax highlighting Built specifically for Qubic's unique architecture (15.5M TPS, feeless transactions, C++ QPI contracts), our tool leverages Aigarth AI capabilities and instant finality to provide real-time feedback. ✓ Measurable Impact: $200K savings per project, 10x speed improvement ✓ Real Utility: Expands Qubic ecosystem by making development accessible to everyone ✓ Production-Ready: Full stack implementation with React frontend, FastAPI backend ✓ Post-Hackathon: Launching on Nostromo Launchpad for ecosystem funding Technical Stack: Frontend: React 18, TypeScript, Monaco Editor, Tailwind CSS, Vite Backend: FastAPI (Python), OpenAI API, Qubic SDK Infrastructure: Docker, standalone deployment with mock mode Track 1 - Nostromo Launchpad : We're building the infrastructure that helps OTHER teams move from concept → deployment → community launch. Demo: Functional IDE with AI assistant, security panel, and deployment tools.

VendorMatch is an all-in-one vendor discovery and hiring platform built for everyone—from businesses seeking professional service providers to individuals looking for reliable vendors for personal or household tasks. Whether you need a graphic designer for your startup, a construction contractor for renovation, a plumber for your home, or a caterer for a personal event, VendorMatch helps you find the perfect provider with ease. Users can explore detailed vendor profiles, compare reviews, check pricing, and hire the right vendor within minutes. Our platform ensures transparency, trust, and convenience through verified vendor listings, smart recommendations, and seamless communication tools. VendorMatch simplifies the entire hiring process so anyone—business or homeowner—can find the best vendor for their unique needs.

AirMouse is an AI-powered desktop application that enables full mouse control using only hand movement. Using advanced real-time hand-tracking technology models tensorflow-models/hand-pose-detection and mediapipe/hands, AirMouse turns the device’s webcam into a virtual mouse input system, allowing cursor movement, clicking, and basic interactions without touching a physical mouse or mousepad. Ideal for situations like snacking while watching Netflix or dealing with a broken or unavailable mouse, AirMouse offers a smooth, touch-free alternative. Users simply hold a hand in front of the webcam and navigate the screen through natural, intuitive gestures. Designed for convenience, accessibility, and ease of use, AirMouse introduces a gesture-based control experience suitable for casual browsing, media control, accessibility needs, or emergency backup when a traditional mouse isn’t available.

⏱️ Design, build, and deploy trustless AI trading agents. 📅 March 30 – April 12, 2026 🌐 Build AI trading agents that execute strategies using ERC-8004 or Kraken CLI. 🤝 Build solo or in teams to create autonomous trading, risk, yield, or protection agents. 💰 $55,000 prize pool, allocated and shared via Surge and Kraken. Your team should have registered project at early.surge.xyz in order to be eligible for the prize. Get access in your team profile or our discord 🔑 Access to early.surge.xyz If prompted for login credentials, use: • Username: admin • Password: JBRv2xWG7AzwVrLz88

⏱️ 4 weeks to design and ship a working Web3 product or AI agent. 📅 February 4 to March 1, 2026 • Feb 4 – Hackathon opens. Teams can start building and submitting. • Feb 5 to March 1 – Build, test, and iterate. • March 1 – Final submissions due. 🚨 Important eligibility reminder To be eligible for prizes, teams must post their submission video on X and tag @lablabai and @Surgexyz_. 🤝 Build solo or with a team. 💰 $50,000 prize pool in $SURGE Token. ⚠️ Self-service hackathon This is a fully self-service hackathon. There are no live streams, kickoff sessions, or scheduled workshops. Participants can register, build, and submit at any time before the submission deadline.

In this hybrid hackathon powered by Arc, developers will build the next generation of agentic commerce systems using Arc with USDC. Explore a world where AI agents and web services can pay for APIs, data, compute, and content in dynamic, usage-based ways, while Arc provides stablecoin-native settlement with predictable USDC fees and deterministic, sub-second finality. This hackathon is supported by Google & Google DeepMind, with a dedicated challenge and $40,000 in Google Cloud Platform (GCP) credits awarded for the best use of Gemini models and Google AI Studio. 📅 January 9 – 24, 2026 • Jan 9 – 23 (Online Phase) – Collaborate and build online with developers and AI innovators from around the world. All projects must be submitted by the end of the online phase on January 23rd. • Jan 23 (On‑site Build Day – San Francisco, CA) – Selected participants will be invited to an exclusive in‑person session to refine their projects and connect directly with mentors. • Jan 24 (On‑site Demos & Awards – San Francisco, CA) – Live pitching sessions to a panel of judges and ecosystem partners, followed by the official winner announcement. Get guidance from Arc and Circle experts through on-site support. 📍 On-site Venue (Jan 23–24): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 🤝 Go solo or team up, it's your flow. 🏆Compete for $50,000 in USDC & GCP Credits. 📍 On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑🏻‍💻 Secure your spot now - sign up before the Kick-Off Stream!