Fawuzan Ibrahim@zanbuilds

Synk is an AI-powered external change intelligence tool for developers, security teams, and platform engineers. A user enters a GitHub repository URL, and Synk extracts the project stack from public dependency files, then searches live sources for CVEs, exploit chatter, security advisories, vendor deprecations, and breaking releases. Bright Data handles live web discovery, AI/ML API normalizes the findings into structured risk reports, and Cognee stores scan memory so the advisor can reason over previous high-risk findings. Instead of flooding users with generic vulnerability noise, Synk explains what affects the actual repo, why it matters, and what should be done next. It also generates copy-ready fix prompts and downloadable reports that can be handed to a development team.

A Chrome extension that summarises any news article, flags structural misinformation cues, warns about sensitive content, and reads it all aloud, entirely on your device, with zero API keys and zero data leaving your machine. The problem Reading news online is exhausting in three different ways: Volume. There's more written every hour than anyone can keep up with. Quality. Misleading framing, missing sources, and loaded language slip past even attentive readers, and "is this true?" tools usually mean sending the page to a cloud service. Access. People with low vision, dyslexia, or sheer reading fatigue need audio, but the built-in browser readers are clunky and inconsistent. Existing solutions hit one of those three. Most of them also send the article you're reading, plus a record of what you read, to a server somewhere. What GemaShield does One click on the toolbar icon and the extension extracts the article from the active tab, then runs three on-device passes in parallel through Chrome's built-in Gemini Nano: Gist. A streamed, two-to-three-sentence summary so you can decide whether to read the rest. Misinformation check. A structured analysis of structural red flags: unverified claims, missing or anonymous sources, emotional framing, logical fallacies, conflicts of interest. Each flag comes with a one-line explanation. It does not pretend to fact-check (the model has no internet); it surfaces patterns that earn a closer read. Sensitive content warnings. Categorised heads-up about violence, hate, self-harm, distressing imagery, and similar, with a calibrated severity rating so calm news stays uncluttered. Then the analysis auto-plays through the system's text-to-speech voice. A two-row control bar gives play / pause / stop, speed (0.6×–1.6×), and a voice picker that lists every voice installed on the user's OS grouped by language. The choice persists via chrome.storage.local, and a "test" button previews the voice in its native language (16 supported)

AI assistant that quietly joins your calls, listens in the background, and turns every conversation into structured knowledge you can actually use later.plugs directly into your Obsidian vault you copy summarized transcript. Every meeting becomes a properly formatted markdown data you can use You stop being a stenographer in your own meetings and start actually listening. Your second brain finally captures the 60% of your work that happens in conversations, not just the stuff you remember to write down afterward. And because everything lives in plain markdown inside your own vault, you own your knowledge no proprietary cloud, no lock-in, no subscription holding your notes hostage.

Win more deals customer and VC deals. Stop guessing why you lost. RevAgent is three AI agents that fix the parts of selling that kill early-stage founders: weak pitch decks, rambling discovery calls, and lost deals you never debrief. Drop in a deck or a transcript, get back specifics you can ship today. The three agents Agent Trigger Powered by Output Pitch Surgeon Upload .pptx / .pdf deck Gemini 3 Pro (multimodal) 3 scores · weakest-slide rewrite · 30-sec narrated pitch Discovery Co-Pilot Start a live call from the browser Speechmatics RT (diarized) + Gemini Flash Live JTBD switch chart · mid-call nudges · 3 follow-ups Win-Loss Auditor Drop transcript + outcome label Featherless (4 specialized OSS models) PDF digest emailed via Resend — objections, patterns, classification, verbatim language Each agent uses what the sponsor stack is actually best at. No costume integrations.

Agent Free Food An agentic chat that finds events with free food and free drinks in any city. Type a question — the agent decides whether to chat or to run a live web search, scores each event with an LLM, and returns the best ones. Powered by: AMD MI300X GPU running Qwen2.5-14B-Instruct via vLLM (OpenAI-compatible) Exa neural web search Gradio UI How it works User asks something in chat ("free food in Austin tonight"). The LLM decides whether to call its single tool: search_free_food(city, threshold). If yes, the app runs Exa search across multiple curated queries, fetches page contents, and asks the LLM to score each event 0–100 on free-food likelihood. Events at or above the threshold are streamed back into the chat as a markdown table sorted by score. If no tool is needed, the LLM just chats normally.

ShadowNPM: Agentic Security Research for npm Packages with x402 Payments on ARC Trust nothing. Verify everything. ShadowNPM deploys autonomous AI agents that crawl, audit, and stress-test npm packages in real time, hunting for supply chain attacks, dependency hijacks, typosquats, and hidden malware before they ever reach your production stack. Every scan is paid and settled instantly through x402 micropayments on ARC, so security research runs continuously without gatekeepers, invoices, or waiting. Agents take on audit tasks, compete on depth and accuracy, and publish cryptographically signed findings on-chain. Every result is independently verifiable, tamper-proof, and traceable back to the agent that found it. The protocol assumes every package is hostile until proven otherwise: install scripts get sandboxed, dependency trees get walked to the leaf, and behavioral diffs between versions get flagged automatically. x402 turns security from a cost center into a self-sustaining loop. The worse the threat landscape gets, the harder ShadowNPM works. Built for a world where npm install is an attack surface and blind trust is a liability.

📅 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.

🌉 On-site Only Hackathon | 📅 June 27–28, 2026 | 📍 San Francisco, CA This is an in-person hackathon in San Francisco for selected participants. Capacity is limited to 150 people, teams must include 3–5 members, and there is no online or hybrid participation. Build and optimize real-time AI applications that run directly on Snapdragon-powered mobile devices using ExecuTorch. 📍 On-site Venue (June 27–28): The Web Data Loft 625 2nd St, San Francisco, CA 📱 Build on Samsung Galaxy S25 Ultra devices powered by Snapdragon 🧠 Learn from Qualcomm and Meta experts through workshops, mentorship, and hands-on support 🏆 Prizes include Meta Quest 3 headsets, Ray-Ban Meta AI Glasses, and post-event project support 🧑‍💻 Apply now to build the future of on-device AI with ExecuTorch and Snapdragon. Once pre-approved, you will receive further instructions on how to complete the acceptance process. Application deadline: June 15, 2026.

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.

⏱️ Build the next generation of Autonomous Agents in the heart of Europe’s AI Revolution. 📅 May 13 – 20, 2026 May 13 – 19: Online Build Phase. May 19: An exclusive on-site build day at Milan AI Week for selected participants. May 20: Awards Ceremony. 📍On-site Venue (May 19–20): Fiera Milano (Rho), Milan, Italy 🤝 Join solo or with a team. 🎟 FREE Milan AI Week conference ticket included for participants. 💰 $32,000+ prize pool 🧑‍💻 Apply now to turn your autonomous agent into a market-ready enterprise solution.