Cloud Waste Hunter - Sell Project

Startup description What does your project do, and how did you start it? Companies waste billions on unused AWS resources and leave massive security holes in their infrastructure. Cloud Waste Hunter is a dual-engine SaaS (FinOps + SecOps) that connects to AWS accounts via a secure, read-only cross-account role. It does two things in under 5 minutes: Cost Optimization: Finds orphaned EBS volumes, idle Elastic IPs, and stale snapshots, calculating exact monthly dollar waste. Security Posture: Scans for vulnerabilities like public S3 buckets, unencrypted databases, and open Security Groups. It doesn't just point out problems; it features a built-in AWS Bedrock (Claude 4.5) AI Advisor that generates exact CLI remediation commands so engineers can fix issues instantly. I built this to automate the most painful parts of AWS management. Key highlights Annual revenue: $0 (Pre-revenue, ready for immediate launch) Running Cost: Highly optimized serverless architecture costs only $10/mo at baseline. Automation: 100% Infrastructure as Code (Terraform) with "one-click" deployment scripts (Makefile) for easy handover. Authentication: Enterprise-grade auth (AWS Cognito + Google SSO). Value Prop: Sells immediate ROI to B2B clients (saving them AWS costs + preventing hacks). Team Who is doing the job behind your startup, and what are their responsibilities? Built entirely by a solo Cloud/DevOps Engineer. I handled the complete A-to-Z architecture: React frontend, FastAPI backend, Terraform infrastructure, and AI integration. I am selling because I am preparing for my university entrance exams and working a day job, leaving me no time to handle the marketing and B2B sales this product deserves. Tech Stack What technologies and frameworks did you use, and for what? Frontend: React 19, TypeScript, Vite, Tailwind CSS (Custom Cyberpunk theme), deployed on Vercel. Backend: Python, FastAPI, AWS Lambda (Containerized), API Gateway. Database & Auth: AWS DynamoDB, AWS Cognito. Infrastructure: Terraform (IaC) managing the entire AWS environment. AI Engine: AWS Bedrock (Claude Sonnet 4.5) for the interactive remediation advisor. Marketing and growth What were your main growth activities, and what were their results? The project is pre-launch, meaning a clean slate for a marketer. However, it comes with a complete, ready-to-execute content marketing strategy. The repository includes 45 highly technical, pre-written "teardown" posts for X, LinkedIn, and Reddit designed to acquire B2B customers without spending on ads. Revenue and profit Everything related to the financials of your project... Currently $0 MRR. The monetization infrastructure is fully built and integrated (ready for Lemon Squeezy or Stripe). The buyer just needs to plug in their payment processor keys and start charging $29-$99/month for the service. Operating margins are massive (95%) due to the serverless pay-per-use architecture.