A privacy-first personal cloud app for iOS organizes photos, videos, links, and files into interactive Spaces with semantic dials, delivering an infinite-canvas workspace and algorithm-free sharing where users—not platforms—control access and visibility. A decentralized storage layer underpins the experience, ensuring portability and verifiable data ownership.
Replace ad-driven, surveillance-style feeds with a system that prioritizes data ownership and consent; deliver granular permissions and predictable syncing; introduce on-device AI for dials so classification happens privately at the edge; and operate content on decentralized storage nodes so data remains portable—and erasable on demand.
After mapping creator workflows, the team delivers an iOS personal cloud that unifies Spaces+dials organization, algorithm-free sharing, and decentralized node storage with purge-on-delete—backed by a privacy-first sync layer and a roadmap for on-device AI classification at the edge.
Keeping an infinite-canvas UI fluid on mobile, synchronizing large libraries across decentralized nodes, making permissions intuitive yet robust, and planning edge-first intelligence without exposing raw data.
The app consolidates personal content into a single, privacy-centered hub and introduces a visual grammar—Spaces and dials—that turns media into meaning while keeping control with the user. Early indicators show 0 third-party ad trackers, 90%+ shares set to private by default, ≈40% fewer duplicate uploads with dial-based organization, and ≈25% faster retrieval via node-level caching; account deletion triggers a full purge of data and interactions across storage nodes.
Planned on-device AI continues to shift intelligence to the edge, strengthening privacy and reducing server dependence.
