@lim_ting_juin128

MarketLens AI is a real-time AI-powered intelligence platform designed to help finance, procurement, and risk teams detect supply chain bottlenecks, ecosystem risks, and market inefficiencies. Instead of relying on end-of-day feeds, static dashboards, or week-old research, the platform continuously monitors live web sources such as financial news, SEC filings, social discourse, and capacity signals as soon as they appear. At the core of MarketLens AI is a multi-agent orchestration system powered by seven specialized AI agents. The Ecosystem Agent discovers competitors, customers, and suppliers around any target company, building a broader view of the company’s operating environment. The Analyst Agent reads scraped news and extracts signals across five perspectives: financial, operational, social, regulatory, and competitive. When evidence is incomplete or weak, the Follow-Up Agent reviews the initial findings and re-scrapes deeper to strengthen the intelligence base. The Coordinator Agent then synthesizes ecosystem-wide risks and opportunities, connecting signals across companies, sectors, and supply chain relationships. To improve reliability, the Verification Agent fact-checks claims and rewrites insights that do not survive cross-source validation, reducing hallucination risk. The Propagation Agent models how disruptions may ripple from peers, suppliers, customers, or competitors back to the primary company. Finally, the Discover Agent turns the validated intelligence into a dashboard-ready view for users. MarketLens AI is powered by Bright Data. Bright Data’s SERP API captures news and market in real time, while Web Unlocker REST extracts full-page content. Datasets v3 streams social signals from X and Reddit for sentiment analysis. Together, these Bright Data primitives give MarketLens AI durable access to high-value sources that conventional scraping systems often cannot reach.

MeetFlow eliminates bottleneck between team discussions and developer action. When meeting ends, decisions are fresh — but by the time someone writes a ticket, context has degraded. Developers receive vague tasks and waste hours clarifying requirements before writing a single line of code. This costs teams hours of back-and-forth every sprint. MeetFlow solves this by connecting conversations directly to codebase. Submit any text as input — meeting transcripts, Slack threads, chat logs, brainstorming notes, or requirement drafts — or upload an audio or video recording directly. MeetFlow's 2-pass LLM pipeline goes to work: Pass 1 scans the transcript to identify every action item and maps each one to relevant files using the indexed codebase. Pass 2 fetches the actual source code of those files and generates a detailed ticket grounded in real code — with exact file paths, function names, numbered implementation steps, acceptance criteria, and edge cases. The knowledge base indexes the entire repository, storing file metadata and source content in IBM Cloudant. Simply paste a GitHub URL to index any project instantly . Every ticket is written against codebase's real functions and patterns, not generic advice. A human reviews and approves each ticket in the web portal once AI generated. On approval, a Jira issue is created automatically with full bidirectional sync via webhooks — title/description changes in Jira reflect back in MeetFlow in real time. Once approved, developer using Bob IDE picks up the ticket via MCP configured. Bob fetches the full ticket details, reads the listed files, and implements the code following the exact steps. The developer stays in control throughout — reviewing Bob's plan before any code is written, and approving the final PR before merge. Built on IBM Cloudant, IBM Speech-to-Text, Azure OpenAI, and deployed on Azure App Service. From a 10-minute meeting to shipped code — no manual ticket writing required with maximised productivity.

🌍 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.