Syeda Noor UL AIN BUKHARI@Binary123brains

EchoEarth AI is a multi-perspective foresight tool that helps people reason with every stakeholder in the room, not just their own instinct. Most decision tools give you a single static forecast one lens, no room to push back. Real decisions, whether a city council weighing a desalination plant or a founder entering a new market, ripple outward and land differently on different people. You describe a decision in plain language, and EchoEarth AI generates three distinct, labeled futures: optimistic, contested, and adversarial, each grounded in 2-4 explicit assumptions. From there, you chat live with four AI personas, each arguing from their own stake in the outcome: Citizen (cost, safety, daily life), Government (regulation and public good), Business (market and ROI), and Scientist (evidence and systems). Responses stream in real time for a genuinely conversational feel. The core mechanic is editable assumptions. Change any assumption and the scenario's narrative regenerates instantly, letting you pressure-test "what if this weren't true?" without starting over. A Compare view lines up all three futures side by side, and a one-click export produces a branded PDF report with the decision, chosen scenario, and full persona transcript. Built with React 18, TypeScript, and Tailwind, backed by Supabase Edge Functions and GPT-4o-mini via the AI/ML API, with streaming handled through Server-Sent Events. The backend is stateless and key-safe by design. EchoEarth AI is built for policy makers, founders, students, educators, NGOs, and consultants anyone whose decisions affect people they can't fully see. It's honest about its limits: scenarios are AI-generated, not fact-checked; there's no persistent history; the persona set is fixed; and there's no evidence grounding yet. Next steps include branching futures, custom personas, evidence grounding, and shared team workspaces. Built by Team Bot Builders for the AI Factory Online Hackathon.

ActionPilot is an AI-powered meeting execution agent designed to solve one of the most common productivity challenges in modern organizations: turning meeting discussions into real, trackable execution. In many workplaces, meetings generate lengthy audio recordings, unstructured conversations, and scattered notes, making it difficult for teams to capture important decisions, assign responsibilities, and follow up effectively. Employees often spend hours manually creating summaries, writing follow-up emails, and organizing action items, while managers struggle to maintain accountability and ensure tasks are completed on time. ActionPilot addresses this problem by automating the entire post-meeting workflow using advanced AI technologies.

🌎 Online Hackathon | 💻 Month-long challenge | Dates: Sep 1–30, 2026 | 🏆 $10,000 Prize Pool ($5k cash + $5k in AAI credits) A month-long online challenge run by lablab.ai together with AssemblyAI, the Voice AI infrastructure company for builders. Every participant builds on AssemblyAI. You can join at any point — registration stays open for the whole build window, so you can start on day one or pick the project up halfway through and still submit. 🌍 Fully online hackathon. Join and build from anywhere in the world.

🌎 Online Hackathon | 📅 August 3–10, 2026| 💻 Powered by native.builder The official native.builder hackathon, hosted by NativelyAI and lablab.ai. Join founders, developers, designers, and builders to create real AI-native applications powered by native.builder: from idea to deployed product, fully in the cloud. 💻 This hackathon is fully online. No travel required.

📅 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.