madhu koseke@madhukoseke

GTM teams lose deals because the strongest buying signals never make it into their stack. Churn threads on Reddit, pricing complaints on Hacker News, and switching intent on G2 sit behind bot protection, JavaScript rendering, and rate limits—so RevOps and AEs research manually and still miss the window. SignalWindow is not a chatbot. It is a closed-loop intelligence pipeline built for the Bright Data hackathon. For each watchlist company, Bright Data SERP API discovers what changed (pricing, careers, changelog, community queries). Web Unlocker and Browser API extract blocked pages as markdown with source URLs and timestamps. A deterministic Window Score ranks winnability in Python; AI/ML API only explains why—never inventing the score. Cognee plus Redis remember signals across runs so context compounds. When the score crosses threshold, TriggerWare or Slack delivers an action-ready brief with outreach draft. The Streamlit demo runs end-to-end in demo mode with pre-cached extracts, or live against real Bright Data endpoints. Toggle “Simulate change” to inject a synthetic churn signal, watch the diff fire, score jump, and alert execute on stage—proving Discover → Extract → Score → Reason → Remember → Act in under five minutes. We surface buying intent before it appears in ZoomInfo or Clearbit: evidence-grade, cited, and automated. Bright Data unlocks the web; SignalWindow turns it into GTM action.

DAGIntel transforms how on-call engineers debug Airflow pipeline failures. When a data pipeline crashes at 2am, engineers typically spend 2-4 hours reading stack traces, Googling errors, and piecing together fixes from Slack history and runbooks. DAGIntel automates this entire process using three CrewAI agents: 1. **Log Analyzer** (Senior SRE): Parses raw Airflow logs into structured JSON with error classification and severity 2. **Root Cause Detective** (Principal Data Engineer): Applies 12 years of Large-scale debugging expertise to identify true root causes vs. symptoms, with 95% confidence scoring 3. **Fix Suggester** (Staff Engineer): Generates production-ready runbooks with Kubernetes YAML, SQL queries, Prometheus alerts, and step-by-step remediation The system demonstrates practical AI agent collaboration where domain expertise (encoded in agent backstories and prompts) produces actionable deliverables on-call teams can execute immediately. Built on AMD MI300X GPU infrastructure using Qwen, CrewAI orchestration, and Streamlit UI. Real impact: Incident resolution time drops from 4 hours to 90 seconds, junior engineers get senior-level insights, and every investigation auto-generates polished documentation for post-mortems.

**The problem.** Circle Nanopayments solved settlement for sub-cent agentic commerce gas-free, batched, sub-second. But because settlements are aggregated and delayed, developers can no longer see per-call profit. NanoMeter is the observability layer that closes that gap. **What it does.** A one-line Express middleware (`app.use(nanometer())`) that wraps Circle's `@circle-fin/x402-batching` middleware and emits a structured per-call event for every paid request. Powers a real-time dashboard with four views: Live (calls/sec, revenue, tx feed), Margin (counterfactual cost on Ethereum / Base / Arc, side by side), Cohorts (per-agent LTV with z-score anomaly detection on cost-per-success), Settlement (onchain batch events linked to the Arc explorer). **The math.** At $0.001/call: Ethereum mainnet gives −14,900% margin (gas $0.15/tx). Base L2 gives −1,400%. Arc + Nanopayments: +94%. This is not an optimization, it is the only solution to the inequality. **Requirements.** - Per-action pricing: $0.001 (1/10th of the $0.01 cap) - 50+ on-chain transactions: 200+ paid requests over a 90-second swarm run, all settling on Arc testnet via Circle Gateway - Margin explanation: built into the product itself, the Margin tab IS the proof **Tracks.** Per-API Monetization Engine (primary) + Real-Time Treasury / Ops (secondary). **The stack.** AIsa is the capability platform. Models, skills, payment rails, 25%+ of x402 volume. MCPay/AgenticTrade/OmniAgentPay are agents that pay. NanoMeter is the instrument every one of those projects needs. **Built by solo dev/data engineer working in Fintech** Compatible with AIsa endpoints out of the box, point `nanometer()` at any Nanopayments-monetized API and observe margin without code changes on the seller side.

🌍 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.