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Image Optimizer

A REST API for resizing, serving, and caching optimized images in formats like WebP, AVIF, and JPEG.
TypeScript
Repo
TypeScript

Image Optimizer

Bailey Dunning
Forward Deployed Engineer
at Harper
September 3, 2025
Bailey Dunning
Forward Deployed Engineer
at Harper
September 3, 2025
Bailey Dunning
Forward Deployed Engineer
at Harper
September 3, 2025
September 3, 2025
A REST API for resizing, serving, and caching optimized images in formats like WebP, AVIF, and JPEG.
Bailey Dunning
Forward Deployed Engineer
A REST API for resizing, serving, and caching optimized images in formats like WebP, AVIF, and JPEG.

Download

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A REST API for resizing, serving, and caching optimized images in formats like WebP, AVIF, and JPEG.

Download

White arrow pointing right
A REST API for resizing, serving, and caching optimized images in formats like WebP, AVIF, and JPEG.

Download

White arrow pointing right

Explore Recent Resources

Media Coverage
GitHub Logo

Harper Argues Against the Multi-System Stack and Releases 5.2

InfoQ examines benchmark results comparing co-located and serverless architectures, highlighting faster personalized-data paths, serverless advantages under heavy fan-out, and the performance implications of eliminating network hops between services at scale.
Media Coverage
InfoQ examines benchmark results comparing co-located and serverless architectures, highlighting faster personalized-data paths, serverless advantages under heavy fan-out, and the performance implications of eliminating network hops between services at scale.
Renato Losio, Staff Editor at InfoQ
Renato Losio
InfoQ Staff Editor
Media Coverage

Harper Argues Against the Multi-System Stack and Releases 5.2

InfoQ examines benchmark results comparing co-located and serverless architectures, highlighting faster personalized-data paths, serverless advantages under heavy fan-out, and the performance implications of eliminating network hops between services at scale.
Renato Losio
Aug 2026
Media Coverage

Harper Argues Against the Multi-System Stack and Releases 5.2

InfoQ examines benchmark results comparing co-located and serverless architectures, highlighting faster personalized-data paths, serverless advantages under heavy fan-out, and the performance implications of eliminating network hops between services at scale.
Renato Losio
Media Coverage

Harper Argues Against the Multi-System Stack and Releases 5.2

InfoQ examines benchmark results comparing co-located and serverless architectures, highlighting faster personalized-data paths, serverless advantages under heavy fan-out, and the performance implications of eliminating network hops between services at scale.
Renato Losio