M RIFKI HAIPAL@quiiplle

B2B sales is broken. Mass emails get a 0.1% reply rate, while manual research takes 45+ minutes per prospect. SignalReach AI solves this by automating the research and outreach workflow. It is an Intent-Based GTM Intelligence Engine that scrapes live web signals—like LinkedIn job openings, Reddit technical complaints, and recent funding news—in real-time. It then feeds this unstructured data into Gemini AI to analyze buying intent and automatically drafts a hyper-personalized B2B sales email addressing those exact pain points in under 10 seconds. We built the app using Next.js 16 and Tailwind CSS. For data ingestion, we integrated the Bright Data SERP API to bypass captchas. Our AI engine is powered by Google Gemini 2.5 Flash, utilizing strict JSON schemas to ensure reliable output. We hosted it on Vercel, using Supabase (PostgreSQL) for database management. Our biggest challenge was serverless timeouts. Scraping and AI generation took 10-12 seconds, breaking Vercel's standard 10-second limit. We overcame this by migrating our core API routes to Vercel Edge Runtime. We are incredibly proud to have built a resilient, end-to-end pipeline that magically turns a raw Reddit complaint into a polished sales pitch. Next, we plan to build a Chrome extension for LinkedIn integration and CSV bulk-processing features.

NALAR_ is an enterprise-grade AI risk intelligence platform that transforms how organizations detect and respond to operational, financial, and security threats hidden inside everyday documents. Most enterprises rely on manual document review or siloed tools that miss cross-domain risks. NALAR_ solves this by orchestrating a 5-agent AI pipeline — each agent specializing in a distinct phase of risk analysis: 1. Document Analyzer — extracts structured entities and context from uploaded files 2. Anomaly Detector — identifies risk vectors and scores overall threat level (0-100) 3. Validator & Checker — cross-validates findings for accuracy and confidence 4. Smart Summarizer — builds categorized executive insights across Access, Financial, and Compliance dimensions 5. Recommendation Engine — generates prioritized, actionable remediation steps with estimated resolution timelines Users simply upload a PDF, CSV, Excel, TXT, or LOG file. Within seconds, NALAR_ produces a full intelligence report — risk score, anomaly feed, executive summary, and action plan — presented through a clean, real-time dashboard. Built with FastAPI, Next.js, and Google Gemini, NALAR_ is fully deployed and production-ready. It demonstrates how multi-agent AI orchestration can make enterprise risk detection faster, smarter, and accessible to any organization.

📅 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.

🌍 Hybrid Hackathon | 💻 Online Build: May 25–30,2026 | 📍 SF Onsite Finale: May 30–31,2026 We’ve unlocked the web for your AI. Now build what wasn’t possible before. Build AI agents with live web data, then join the SF onsite finale at Bright Data’s new Web Data Loft. 🚀 The onsite experience will take place during the opening of Bright Data’s new SF space, The Web Data Loft. 📍 On-site Venue (May 30–31): The Web Data Loft 625 2nd St, San Francisco, CA 🏆 $18,300 cash prize + Bright Data AI Startup Program opportunities 🍕 Free food, drinks, networking, workshops, mentorship, and live demos 🎁 Onsite attendees are automatically entered into a live giveaway for 4 × $100 Amazon gift cards. 🧑‍💻 Apply now to build AI agents powered by real-time web access.

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.

📅 May 11–19, 2026 • May 11 – 19: Online Build Phase. • May 18 (Hybrid Build Day – Online & Onsite) • May 19 (Demos & Awards – Online & Onsite) 🌍 Hybrid event. Join online from anywhere or build onsite at the venue. 🏆 Winners will be announced live on stage at the AI & Big Data Expo North America on May 19 📍 On-site Venue (May 18–19): San Jose McEnery Convention Center, CA, USA 🤝 Join solo or with a team. 🎟 FREE AI & Big Data Expo North America ticket included for participants that are able to join the on-site phase. 🏆Compete for a $10,000 prize pool 🧑‍💻 Apply now to design, prototype, and showcase enterprise-ready innovation.