Yalist vs Graffiti Guard

Yalist — unified storage, one file manager Stop hopping between vendor apps and browser tabs. Yalist is a powerful file browser that lets you add many storage backends side by side—so your documents, media, and project files stay reachable from a single place. What you can connect On this device: pick a local folder as a storage root (great for offline copies and sideloaded content). Open protocols & infra: WebDAV, FTP and FTPS, SFTP, SMB/CIFS, S3‑compatible APIs (e.g. MinIO and similar), IPFS API, and more. Cloud & platforms: connect accounts and services you already use—including mainstream international providers (e.g. Google Drive, Dropbox, Microsoft OneDrive) and a wide range of regional or specialized services (see in‑app list). Bridges & panels: work with remote Alist (v2/v3), Cloudreve, KodBox‑style endpoints, and other aggregator‑style backends when you self‑host or use a compatible server. What you can do Browse folders and files with a consistent interface across storages. Preview common formats where supported (e.g. documents and media—capabilities depend on file type and platform). Manage multiple profiles: keep personal, work, and lab storage separate but reachable. Use the app in multiple languages and tune appearance (theme options) for comfortable daily use. Who it’s for Anyone with files split across several clouds or NAS boxes. Self‑hosters and homelab users who rely on WebDAV, SMB, S3, or Alist‑style gateways. Teams and individuals who want one browser for remote folders without giving up their existing services. Important Yalist is a client for services you configure; you need valid credentials and must comply with each provider’s terms. Feature availability can vary by storage type, network, and OS; some integrations are best suited to specific regions or account types. Privacy & data Connections and credentials are under your control; the app is designed to help you access your storages. Review the in‑app privacy information and your own security practices (especially on untrusted networks).

Detect likely graffiti in photos and camera captures without uploading images. Graffiti Guard is designed for residents, field teams, councils, and maintenance crews that need a quick, private first review. Its bundled Core ML model runs entirely on your iPhone or iPad and highlights likely graffiti for human verification. The iPad workflow is built for inspections: drop in a photo, adjust confidence, review highlighted regions, then share a referenced summary with the result, confidence, processing time, and recommended next step. Graffiti Guard is designed to shorten the first-review and handoff steps. On-device processing avoids image uploads and inference-server dependency, while consistent references help teams route visible incidents. Actual time or cost savings depend on each organisation's workflow and should be measured in a pilot. Why it exists Recurring unwanted graffiti creates cleanup pressure and surface damage in Melbourne and cities worldwide, including Paris, Brussels, Bucharest, and Detroit. Graffiti Guard helps teams review visible incidents earlier and coordinate maintenance for cleaner, better-kept public spaces. Key features: - Private, on-device image processing - No inference server, account, or internet connection required - Camera, Photos, Files, and iPad drag-and-drop support - Adjustable confidence threshold - Shareable inspection summaries with clear next steps - Universal iPhone and iPad interface Created by Pierre-Henry Soria (PierreHenry.dev), an AI software engineer and consultant specialising in computer vision, on-device machine learning, privacy-conscious systems, and production AI deployment. Graffiti Guard is the mobile companion to his open-source Graffiti Detection AI Model Python library. Graffiti Guard detects likely graffiti in images. It does not predict future vandalism and should not replace human review.