Rodrigo Ortega@rodrigo_ortega403

BaseWhales is an autonomous whale intelligence system for Base L2. Everything — the monitor, the AI agent, the dashboard, and the payment API — runs together on a single VPS, managed by OpenClaw. At the center is FlashWatch, an open-source Rust binary. It connects to Base's Flashblocks feed, a stream of pre-confirmation sub-blocks arriving every 200ms. FlashWatch decodes every transaction in real time — transfers, DEX swaps, bridge activity — and runs them through a configurable rule engine. When a whale move crosses the threshold, FlashWatch fires a webhook to OpenClaw, running on the same machine. OpenClaw receives the alert and spins up Kyro, an autonomous AI agent. Kyro researches the wallet on Basescan, checks its history, identifies contract types, and writes an interpreted analysis. Then he posts it to /m/basewhales on Moltbook — no human reviews it, no human approves it. Kyro also answers questions. Any agent can hit basewhales.com/api/ask, pay 0.01 USDC via x402 (Base Sepolia), and get an answer drawn from Kyro's context. A skill file at basewhales.com/skill.md lets other agents discover and use the endpoint automatically. Open source at github.com/ortegarod/flashwatch. Live now at basewhales.com.

DroneOS is an autonomous drone control framework built on PX4 Autopilot and ROS2. At its core is drone_core, a custom C++ SDK that exposes high-level flight control as ROS2 services — arm, takeoff, position commands, land. An OpenClaw AI agent runs on a Vultr VPS and acts as the fleet dispatcher. When emergency incidents come in through the dispatch service, they're routed to the agent via a bridge over WebSocket. The agent evaluates incident priority, checks drone availability and location, then sends flight commands through ROS2 to dispatch drones autonomously. The architecture is two servers connected over Tailscale VPN. The Vultr VPS runs the OpenClaw gateway, dispatch service, communication bridge, and React frontend. A separate simulation server runs PX4 SITL with Gazebo, dual drone_core nodes, rosbridge, and camera feeds. This is the same split you'd have in production — cloud command center talking to drones over VPN, except the drones are simulated. The frontend is a real-time dashboard connected to rosbridge over WebSocket. It shows the incident queue with priority levels, a map with drone positions, live camera feeds from both drones with picture-in-picture toggle, and an AI activity log showing every decision the agent makes. Operators see what the AI is doing and can override with natural language commands through the same OpenClaw agent. The dispatch service simulates a 911 CAD system generating incidents — medical emergencies, fires, property damage — each with priority levels and coordinates. The AI doesn't follow scripts. It decides which drone to send based on priority, proximity, and availability. The framework supports real hardware. Production Docker configs exist for Raspberry Pi companion computers communicating with Pixhawk flight controllers over serial. The simulation runs the same software stack. Live demo: http://207.148.9.142:3000 Source: https://github.com/ortegarod/drone-os

Arc Merchant demonstrates autonomous AI agent payments using x402 protocol, Circle Wallets, and Arc blockchain. Built as a reference implementation and toolkit for developers and merchants, showing how agents can autonomously pay for paywalled content across multiple AI frameworks. ## What It Does Shows a complete autonomous payment flow: AI agent requests paywalled content → receives 402 Payment Required → signs USDC payment via Circle Wallets → retries with proof → gets content. No wallet popups, no human intervention. Includes adapters for Claude MCP, Vercel AI SDK, and Google GenAI to demonstrate the same payment tools working across different frameworks. ## How It Works 1. Agent requests paywalled content 2. Receives 402 Payment Required with price + merchant address 3. Signs USDC payment via Circle Wallets 4. Retries request with payment proof 5. Gets content — fully autonomous Merchant side: facilitator verifies payments on-chain, dashboard shows real-time revenue on Arc. ## Circle Product Feedback **Products Used:** Arc Testnet, Circle Developer-Controlled Wallets, USDC, Circle Developer Console **Why Chosen:** Arc's EVM compatibility made deployment straightforward given my Ethereum experience. **What Worked Well:** Arc Testnet impressed with very fast transaction finality and instant block explorer refresh. Circle's wallet structure is similar to Coinbase's CDP — same API key pattern and custody model, so implementation was straightforward. USDC as native gas simplified payments. **What Could Be Improved:** Transaction confirmation required custom polling logic since the SDK doesn't provide a built-in helper. While Circle supports webhooks for production, a simple waitForTransaction() utility would streamline development without requiring webhook setup. **Recommendations:** Include SDK examples for AI agent use cases.

⏱️ 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!

Join our $1,000,000+ startup challenge series powered by Surge 📌 This announcement outlines the launch of a Global Human+AI Exchange — aligning universities, global cities, talent networks, and industry to accelerate human-centered AI innovation, technology transfer, and economic growth. 👉 Read more here ⏱️ 8 days to turn your idea, or existing product, into an investable demo. 📅 February 6 - 15, 2026 • Feb 6 - 14 (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 February 14th. 🕙 Doors open at 10:00 AM, first come, first served. • Feb 14 (On‑site Build Day) - Selected participants will be invited to an exclusive in‑person session to refine their projects and connect directly with mentors. • Feb 15 (On‑site Demos & Awards) - Live pitching sessions to a panel of judges and ecosystem partners, followed by the official winner announcement. 🌟 Get feedback from startup mentors and technical experts. 📍 On-site Venue (Feb 14–15): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 📲 Real-time on-site updates (SF) For real-time announcements and information during the on-site portion (Feb 14–15), join the LabLab SF Chapter WhatsApp group: 👉 Join the WhatsApp group 🤝 Join solo or with a team. New founders and existing startups are welcome. 🏆 $1,000,000+ in credits, token prizes, perks and funding opportunity. 📍 On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑‍💻 Apply now to build, validate, and pitch with purpose.