DeployKitPro vs ArloLite

DeployKit gives builders and operators a focused mobile command center for Vercel projects. Connect your Vercel account, review recent deployments, open project activity, inspect failed builds, and read deployment logs without digging through a browser dashboard. Key features: - Secure local Vercel token storage using the device keychain or keystore - Project and deployment overview - Failed deployment visibility - Deployment detail pages with branch, commit, target, and status - Build logs using the real Vercel deployment identifier - Multi-account management for switching Vercel accounts locally DeployKit is built for developers, founders, and operators who need quick production visibility while away from their desk.

Arlo Lite is a free, open-source iOS client for interacting with large language models. Bring your own API key and talk directly to the provider — no middleman server, no account, no subscription. SUPPORTED PROVIDERS • OpenAI — Chat Completions & Responses API • Anthropic — Claude via Messages API • Local Inference — Ollama, llama.cpp, vLLM, or any OpenAI-compatible endpoint KEY FEATURES • Real-time streaming with token-by-token display • Rich Markdown rendering with syntax-highlighted code blocks • Session management — switch models mid-conversation, rename, resume • Thinking effort controls — adjust reasoning depth per session • Per-turn and per-session cost tracking • System prompt library — save and reuse your favorite prompts • iCloud backup for chat history (text only, keys never leave your device) PRIVACY BY DESIGN • API keys stored exclusively in the iOS Keychain • No backend server — all calls go direct to the provider • No telemetry, no analytics, no tracking • No account or sign-up required • Offline read access to past conversations BUILT FOR POWER USERS Arlo Lite is designed for developers and AI enthusiasts who want a clean, fast interface for daily-driving LLM APIs. Light/dark/system appearance, Dynamic Type support, and VoiceOver accessibility built in. 100% open source. MIT licensed. Contributions welcome on GitHub.