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MAX — Rork Max generates native Swift apps for iPhone, iPad, Apple Watch, Apple TV, and Vision Pro, with two-click App Store publishing that never opens XcodeWIDGET — Rork Max also covers games, widgets, and live activities, widening the scope beyond the React Native output Rork started withFUND — Rork raised $2.8 million from a16z, and the platform now sees roughly 743,000 monthly visits with a reported 85% growth rateMAESTRO — Expo added an insights dashboard for Maestro end-to-end test runs on July 20, letting teams track run performance over timeCICD — A Posh case study published July 23 walks through rebuilding a mobile CI/CD pipeline on EAS Workflows, fingerprinting, and Expo UpdatesSIRI — The iOS 27 public beta opened on July 13, and its generative-AI Siri requires an A17 Pro chip or newer with at least 8 GB of RAMMAX — Rork Max generates native Swift apps for iPhone, iPad, Apple Watch, Apple TV, and Vision Pro, with two-click App Store publishing that never opens XcodeWIDGET — Rork Max also covers games, widgets, and live activities, widening the scope beyond the React Native output Rork started withFUND — Rork raised $2.8 million from a16z, and the platform now sees roughly 743,000 monthly visits with a reported 85% growth rateMAESTRO — Expo added an insights dashboard for Maestro end-to-end test runs on July 20, letting teams track run performance over timeCICD — A Posh case study published July 23 walks through rebuilding a mobile CI/CD pipeline on EAS Workflows, fingerprinting, and Expo UpdatesSIRI — The iOS 27 public beta opened on July 13, and its generative-AI Siri requires an A17 Pro chip or newer with at least 8 GB of RAM
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perceptual hashing

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image processing1dHash1deduplication1asset management1Node.js1sharp1indie development1
App Dev/2026-07-29Advanced

The same wallpaper appeared twice in my catalog — measuring perceptual hash thresholds across 324 images

Four approaches to image catalog deduplication measured end to end: SHA-256, dHash, a hue signature, and a block signature. dHash alone scored 0.9% precision. Here is why perceptual hashes collapse on smooth images, and how the ground truth turned out to be the thing that was wrong.