Subhan Asif@Subhan_Lab

Enterprise investment due diligence is slow, opaque, and inconsistent. Analysts spend hours collecting information across disconnected tools with no systematic review process and no audit trail. Aegis Agent solves this with a genuine multi-agent workflow. Four specialized AI agents — Forensic Planner, Data Analyst, Risk Auditor, and Executive Finalizer — collaborate through Band chat rooms to analyze investment opportunities. Every agent handoff happens via Band. Every decision is logged. When a user submits a company and deal context, Aegis creates a dedicated Band room and the agents execute a structured workflow: 1. Planner (AI/ML API): Decomposes the task, selects optimal inference models 2. Analyst (Featherless AI): Synthesizes findings, cites sources with URLs 3. Reviewer (Featherless AI): Validates analysis, scores risk 0–100, loops back if gaps found 4. Finalizer (AI/ML API): Produces polished dossier with verdict, alternatives, and reasoning chain Users can pause the room and intervene at any point — the agents adapt and continue with user direction baked into their context. The frontend renders this entire operation as a live war room dashboard. Acts are cinematic. Handoffs are visible. Partner tool usage is unmissable. The result: auditable, explainable, enterprise-grade AI investment analysis.

Pay As You Learn is an AI-powered education platform designed to make quality learning accessible and affordable for everyone. Traditional learning platforms require upfront payments, which can be a barrier for many students. Our solution removes this limitation by introducing a flexible, performance-based payment model where users pay gradually as they progress through their courses. The platform uses intelligent AI tutors to provide personalized learning experiences, track student performance, and adapt content based on individual needs. By combining smart automation with outcome-driven pricing, Pay As You Learn ensures that students only pay for the value they receive, creating a fair, motivating, and inclusive learning environment.

📅 June 12–19, 2026 • June 12: Kick-off Stream • June 12–19: Online Build Phase • June 19: Project Submissions Ends 🌍 Fully online hackathon. Join and build from anywhere in the world. 🤝 Build practical enterprise workflows where AI agents communicate, coordinate, exchange context, and complete work together. 🧠 Powered by Band and Codeband, built for collaborative AI systems and agent orchestration. 🏆 Prize Pool: $10,000+ 🧑‍💻 Apply now to build the next generation of enterprise multi-agent systems.

In this hybrid hackathon powered by Arc and Circle, developers will build the next generation of Agentic economic applications using Circle’s Nanopayments infrastructure with settlement on Arc in USDC. For the first time, high-frequency, usage-based transactions between users, APIs, and AI agents can operate without gas overhead eroding margin. Arc provides stablecoin-native settlement with predictable, dollar-denominated USDC fees and deterministic, sub-second finality — enabling real-time coordination and economically viable per-action pricing at scale. 📅 April 20 – 26, 2026 • Apr 20 – 25 (Online): Submit projects by Apr 25. • Apr 25 (On-site Build – SF, CA): Teams refine projects. • Apr 26 (On-site Demos & Awards – SF, CA): Live pitches & winners announced. Get guidance from Arc and Circle experts through on-site support. 📍 On-site Venue (April 25-26): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 🤝 Go solo or team up, it's your flow. 🏆 Compete for a $15,000+ Prize Pool. 📍 Please note: If approved for the on-site experience, you’ll also have the opportunity to showcase your project live. Travel and accommodation will not be covered. 🧑🏻‍💻 Secure your spot now – sign up before the Kick-Off Stream!