NAVEEN KUMAR G@naveen_kumar_g773

KRONOS is an institutional memory infrastructure designed for modern engineering teams. It transforms organizational knowledge into a live intelligence layer embedded directly inside the GitHub workflow. Engineering teams often repeat catastrophic production failures not because developers are careless, but because architectural decisions, outage learnings, and engineering context disappear over time. Pull request discussions get buried, developers leave teams, and the same dangerous patterns eventually return to production. KRONOS solves this problem by continuously remembering and analyzing historical engineering decisions across the codebase. The system is powered by a 5-agent institutional intelligence architecture: Memory Guard, Promise Audit,Security Shield,Architecture Insight, Doctrine Engine .KRONOS integrates directly with GitHub Actions and activates automatically whenever a pull request is opened. It analyzes code changes against a continuously evolving institutional memory ledger and detects when developers unknowingly reintroduce previously rejected or dangerous engineering patterns. In our Atlas financial infrastructure demo scenario, KRONOS detects a developer reintroducing an “ExponentialBackoff” retry strategy that previously caused a catastrophic authentication outage. The workflow immediately fails, generates a multi-agent architectural analysis report, and prevents the same production incident from happening again. KRONOS also includes:Live GitHub workflow analysis, Conversational institutional search,Institutional memory dashboard,Continuous memory evolution,Real-time workflow intelligence The project was built using Python, GitHub Actions, workflow orchestration systems, and IBM BOB acting as our AI development partner during the development of KRONOS. KRONOS ensures that every outage, every architectural scar, and every hard-earned engineering lesson is remembered — so engineering teams never pay the price for the same mistake twice.

QX AlphaRadar is a real-time intelligence tool built for Qubic traders. Today, traders do not get alerts when important events happen on-chain. They cannot see whale buys, big sells, liquidity removal, ownership transfers, or sudden volume spikes. This creates confusion and slow reactions. AlphaRadar solves this by watching the Qubic blockchain using EasyConnect. Every event is sent to Make.com, where we classify it as a buy, sell, whale move, liquidity crisis, or governance update. The system then sends clear instant alerts to Telegram and Discord, and also saves the data in Google Sheets for analytics. We also provide a simple dashboard where users can see live events, volume trends, whale activity, and market signals. AlphaRadar helps traders react faster, avoid risks, and understand what is happening in the market in real time.

📅 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.

Grab your ideas, spin up compute, and start building what’s next! Start with $100 in AMD Developer Cloud credits and begin building right away. Get access to hands-on tutorials, workshops, and curated learning resources to help you build faster and go further. To unlock credits and join the hackathon, sign up for the AMD AI Developer Program. 💰 $10,000 total prize pool Developers, builders, and innovators - bring your boldest ideas and let’s turn them into real AI systems on AMD.

Build solutions that improve how software is built. Work with an AI that understands your codebase, helping you reduce repetitive work and build with real context. ⏳ Build your project in 48 hours. 🚀 Get hands-on with IBM Bob and explore how AI fits into real development workflows before it becomes standard. 💡 Build tools and workflows that developers would actually use. ⭐ Learn directly from experts throughout the event. 🤝 Join a team or build solo. 💰 Prize pool: $10,000 🧑🏻‍💻 Register before the Kick-Off Stream and start building with Bob.

Grab your ideas, spin up compute, and start building what’s next! Start with $100 in AMD Developer Cloud credits and begin building right away. Get access to hands-on tutorials, workshops, and curated learning resources to help you build faster and go further. To unlock credits and join the hackathon, sign up for the AMD AI Developer Program. 🤝 Go solo or team up — ship something real. 💰 $21,500+ total prize pool & 1 × AMD Radeon™ AI PRO R9700 GPU up for grabs. 📍 On-site Venue (May 9-10): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 📍On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑‍💻 Developers, builders, and innovators - bring your boldest ideas and let’s turn them into real AI systems on AMD.

Join Deriv and lablab.ai for a high-intensity hybrid hackathon where top builders create AI prototypes, demo their work, and get fast-tracked to interviews. When • Sat, Jan 31, 2026- On-Site Pre-Hackathon: Deriv AI Meetup (Dubai) • Fri, Feb 6 - Opening words, Challenge, and Hackathon kick-off. (Dubai) • Sat, Feb 7 - Build and ship your prototype - 12 hours (Onsite +Online) • Sun, Feb 8 - Demos, judging, and next steps for standout teams. (Onsite +Online) On-Site Pre-Hackathon: Deriv AI Meetup Sat, Jan 31, 2026 · 2:00–6:00 PM (GST) · Dubai In-person talks, workshops, team formation, and networking with the Deriv team. 👉 Deriv AI Meetup registration What's in it for you • USD $10,000+ in prizes across categories • Mentors available to unblock you when you're stuck • Fast-track interviews for top performers - skip the queue • Real problems to solve - not toy demos Format • Teams of 1-3 • Hybrid: Dubai on-site or fully remote • On-site spots confirmed after screening Location • One by Omniyat, 24th Floor, Al Mustaqbal Street, Business Bay, Dubai, UAE • Travel and accommodation not provided. Apply now • Spots are limited. Shortlisting begins right after the event.