Zero Downtime Hackathon | Win an NVIDIA DGX Spark Supercomputer worth $5,000!
Building reliable AI systems requires three core pillars: knowing what you are building, extracting web data without breaking, and having visibility in production.
Without organization, project goals get messy. Without self-healing data, website layout changes break your app. Without monitoring, systems fail in silence.
The goal of this hackathon is to build a complete, resilient application or pipeline. You will use Port to plan your architecture, Bright Data Scraper Studio to fetch web data, and SigNoz to monitor performance.
🛠️ What You Need to Build (The Story)
Build a working app, automated pipeline, or agentic workflow using your coding assistant (Claude Code, Cursor, Codex). Your project must tie the tools together into a complete lifecycle:
1. Plan and Track in Port
Before writing code, set up your workspace in Port:
Define your project goals, technical choices, risks, and tasks directly in Port.
Log your final working APIs, scrapers, and services in Port so you have a central dashboard showing project health.
2. Fetch and Fix Data with Bright Data Scraper Studio
Build your web data pipeline using Bright Data Scraper Studio directly inside your coding assistant terminal:
Extract web data through terminal commands without switching back and forth to a web browser dashboard.
Save your scraper settings inside your project rules file (like
CLAUDE.md,.cursor/rules, orCODEX.md) so your assistant reuses them automatically.Show automatic scraper repair when a target website updates its HTML structure.
3. Monitor and Observe with SigNoz
Add observability to your application or pipeline using SigNoz:
Track traces, metrics, and logs for your data pipeline and API endpoints.
Monitor performance latency, data execution rates, and failure events when scrapers break or auto-repair.
Capture execution events so you always know how your system performs under the hood.
🤝 The Tools
Port.io (Project Organization)
Port acts as your central project dashboard. It helps you organize what you are building, record technical decisions, track project risks, and list all your finished components in one place.
Bright Data Scraper Studio (Web Data and Auto-Repair)
Bright Data Scraper Studio is an AI-powered data extraction platform designed to turn any website into structured, machine-readable JSON feeds. Traditional web scraping often requires developers to manually maintain selector logic, handle headless browser instances, configure proxy rotation networks, and continuously update code when site DOM structures change. Scraper Studio streamlines this workflow by combining automated code generation, proxy infrastructure, and self-healing mechanisms into a unified runtime manageable directly from terminal coding agents like Claude Code, Cursor, and Codex.
SigNoz (Full-Stack Observability)
SigNoz is an open-source observability platform. It gives you deep visibility into your application by tracking metrics, traces, and logs so you can monitor pipeline performance and debug errors instantly.
🏆 Prizes and Tracks
🏆 Main Grand Prize: Best Full-Stack Integration (NVIDIA DGX Spark Supercomputer worth $5,000)
This is the top prize of the hackathon! Awarded to the overall winning project that seamlessly combines Port, Bright Data Scraper Studio, and SigNoz into one complete pipeline. Using all three tools gives your team the highest chance of winning this prize.
🥇 Track Prizes (Keychron Keyboards for every member of each winning team worth $120 each)
Best Port Integration: Awarded for the clearest workspace setup showing project goals, technical choices, risk factors, and cataloged services in Port.
Best Bright Data Scraper Studio Integration: Awarded for a pure terminal workflow, proper scraper rules configuration, clean JSON output, and working auto-repair execution.
Best SigNoz Integration: Awarded for active tracing, log collection, and metric tracking across data endpoints and background jobs.
💡 Project Ideas
Observed Market Intel Pipeline: Scrape target updates using Bright Data Scraper Studio, auto-fix broken scrapers, track API traces in SigNoz, and log project milestones in Port.
Observed Docs-to-RAG Bot: Crawl a documentation site into structured data from your terminal using Bright Data Scraper Studio, stream traces and embedding latency to SigNoz, and track your API endpoints in Port.
Self-Healing CI/CD Pipeline: Run scheduled web checks in CI/CD via Bright Data Scraper Studio, trigger automatic repairs on scraper failures, monitor pipeline logs in SigNoz, and view overall status in Port.
Feel free to build whatever you like using the sponsor tools, these ideas are just here to spark your inspiration...! 😉
📋 Submission Requirements
GitHub repo with code, commit history, and a README that breaks down what you built. Perfect code isn't required, just ship it!
Demo Video (3 to 5 minutes): Show your terminal workflow, Port dashboard setup, live SigNoz monitoring, and the auto-fix feature working in Bright Data Scraper Studio.
🚨 Rules
Team Size: Teams must consist of 1 to 4 members.
Team Formation: You can form teams ahead of time or assemble your team on-site.
On-Site Participation: Attendance, talks, demos, and building take place in person in San Francisco—feel free to stop by throughout the day to register and jump in.
Submission Deadline: All code, READMEs, and demo videos must be submitted by the end of the day.
Judging & Awards: Winners will be evaluated and announced live on the same day.
Follow the WeMakeDevs Code of Conduct.