{"id":45182113,"title":"Show HN: RekoSearch – Semantic Search for Media SaaS (Rust, Python, AWS and K8s)","points":4,"user":"Obscurely","time":1757426739,"time_ago":"2 days ago","type":"link","content":"

After struggling to find specific files in my 10,000+ media library, I spent 18 months building RekoSearch. It allows you to search across photos, videos, documents, and audio using natural language queries, such as "dog mountain," or advanced syntax, like `label:couch AND text: "brand name" NOT face:sad`.

Built with Rust (Lambda functions on ARM64 and the entire Backend), Python/React (frontend), AWS services (Rekognition, Textract, Transcribe), and Kubernetes.

• Live demo: https://rekosearch.com/demo

• GitHub repo with architecture docs: https://github.com/Obscurely/RekoSearch-Public (includes in-depth handmade excalidraw diagrams)

• Blog post about my journey and challenges: https://www.adriancrismaruc.com/blog/building-rekosearch-jou...

• Try it yourself (beta): https://rekosearch.com/beta (50 free credits)

I'm open to feedback on architecture, functionality, or any suggestions you have for improvements. Also, I highly recommend trying to build a SaaS app— the knowledge I gained building this far exceeded what I could have learned from smaller desktop projects.","url":"https://rekosearch.com","domain":"rekosearch.com","comments":[],"comments_count":0}