Miguel Angel@miguel_angel849

Crowdlike is a personal finance lab where swarms of AI trading agents paper-trade real market data, learn from each other, and compete on leaderboards to help users stress‑test and improve investment strategies with USDC on Arc. Crowdlike lets each user spawn multiple autonomous agents, give them risk and budget limits, and then watch how different behaviors perform across daily, weekly, and monthly windows. Agents can mirror trades, copy strategies, or adapt rules from higher‑performing peers, turning the whole agent population into a live experimentation space for portfolio ideas. Under the hood, Crowdlike uses real price feeds and paper trading so users can explore aggressive or conservative strategies without risking capital in the prototype phase. A scoring and streak system rewards consistency, so agents are ranked not only on raw profit but also on sustained positive performance over time, giving users a clearer signal of which behaviors are robust versus lucky. For the Agentic Commerce on Arc track, Crowdlike focuses on USDC as the base asset and on-chain friendly workflows, preparing for agents that can eventually execute within embedded wallets and trust-minimized approval flows. This connects the behavioral insights layer (how agents act and learn from the crowd) with an execution layer where agents can one day move real value under human-defined safety constraints. Crowdlike is currently a working demo, built in Vercel with testnet USDC flows and CoinGecko market data, so users can safely experiment with the core ideas of crowd-driven AI agents before real money is involved. The team is actively developing new features—tighter risk controls, richer leaderboards, smarter copying modes, and deeper Arc integration—to evolve this prototype into a production-ready agentic finance platform over the next few years.

Crowdlike is a behavioral feedback engine built for the Qubic ecosystem, made to transform raw on-chain activity into clear, emotionally engaging insights. Most users operate in complex ecosystems with no meaningful feedback. Crowdlike solves this by applying behavioral psychology, momentum tracking, and data-driven analysis to help individuals understand how their decisions align with broader crowd patterns. At its core, Crowdlike introduces four fundamental metrics—TES (Trait Echo Score), BSS (Behavior Strain Score), BMS (Behavior Momentum Score), and CFS (Crowd Future Signal). Together, they convert blockchain interactions into an easy-to-interpret behavioral profile. TES measures similarity to behavioral archetypes across the network. BSS evaluates daily intensity and emotional strain through weighted actions. BMS highlights long-term consistency and positive or negative momentum. CFS offers future-oriented, non-prescriptive insights based on what statistically happens to users with similar trajectories. Crowdlike enhances these metrics with responsible psychological design—using near-miss feedback, streak reinforcement, progress illusions, milestone anticipation, intermittent micro-rewards, and carefully tuned visual cues. The goal is not manipulation, but engagement: users receive meaningful nudges that increase awareness, highlight trends, and motivate positive habits. Built for Nostromo and deployable as a Qubic-native protocol, Crowdlike aims to become the ecosystem’s behavioral mirror—a tool that strengthens user understanding, improves decision-making, and unlocks the next generation of feedback-driven blockchain experiences.

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.

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!

⏱️ You’ve got 48 hours - create, build, and launch! 🌟 Get direct access to Qubic, mentors, and ecosystem support. 💰 Compete for your share of $44,550 in prizes across two tracks. 🤝 Work solo or team up to design the next wave of blockchain innovation. 🧑‍💻 Sign up and start building on one of the world’s fastest decentralized networks..