π Hey IH! Solo founder here β just launched AWS Solution Finder.
It's an AI-powered search engine that indexes 10,000+ repos from AWS's official GitHub organizations. Instead of 47 browser tabs and 2 hours of searching, you get ranked results in 10 seconds.
Month 1 numbers (fully transparent):
π Revenue: $0
π₯ Registered users: 2
π° Infrastructure cost: $0 (AWS credits)
π₯ Monthly burn: $250
Giving the first 20 people free Pro access for 30 days. Just drop your email here or DM me.
What was your Month 1 like? Did you also build first and market later?
I am not able to understand the problem it is solving. Does it provide information just related to AWS or anything in general?
Great question! It's AWS-specific.
The problem: AWS has 10,000+ sample repos spread across 5 GitHub orgs (aws-samples, awslabs, aws-ia, etc.). When you need a reference architecture β say for a serverless API, or an EKS migration pattern β you end up opening dozens of tabs across GitHub, AWS docs, and Stack Overflow.
AWS Solution Finder lets you search all 10,000+ repos with plain English. Each repo is scored on freshness, complexity, AWS services used, and setup time.
Think of it as "Google for AWS GitHub repos" β but with AI-powered ranking and metadata that GitHub search doesn't have.
It's niche by design. Individual AWS developers and Solutions Architects are the target users.
AI has developed a lot and it be with CDK or business logic, I am able to scrape or use the info provided by event Chat GPT and Claude. Then, what differentiates your product?