Mobile for Claude Code vs LLM Bench

Mobile for Claude Code lets you drive Claude Code on your Mac from your iPhone — from anywhere with internet. Run a single command on your Mac (npx remote-for-claude), paste the URL and token into the app, and start prompting Claude from your pocket. Your code never leaves your machine. STREAMING CHAT • Real-time responses — every word as Claude thinks • Cancel any prompt mid-stream • Per-project chat history, saved locally FILE BROWSER • Navigate your entire Mac filesystem • Read any file instantly • Quick access to recent projects LIVE PREVIEW • Vite, Next.js, static HTML, any web project • Frontend runs on your Mac, rendered on your phone • Stay in sync with hot reload GIT WORKFLOW • Status, diff, commit, push — all one-tap • Visual diff viewer with syntax highlighting • Clone any of your GitHub repos in seconds ONE-TAP DEPLOY • Vercel, Netlify, Cloudflare Pages • If your Mac has the CLIs logged in, it just works PRIVATE BY DESIGN • End-to-end HTTPS via Cloudflare tunnel • Bearer-token auth, rotate anytime • Your code never touches our servers — we don't run any • Zero analytics, zero tracking FIVE LANGUAGES English, Turkish, Spanish, Brazilian Portuguese, Japanese. HOW IT WORKS 1. Install the free CLI on your Mac with one command 2. Run remote-for-claude — it opens a secure tunnel and prints a URL + token 3. Paste them into the app, tap Connect 4. Start prompting Claude from your phone REQUIREMENTS • A Mac running Node.js (auto-installed if missing) • Claude Code CLI and an Anthropic account • iOS 16 or later Built for developers who want to stay productive without being tied to their desk. Privacy: https://remote-for-claude.netlify.app/privacy.html Website: https://remote-for-claude.netlify.app Claude Code is a product of Anthropic. This app is an independent companion — not affiliated with or endorsed by Anthropic.

LLM Bench is an iOS test bench for developers comparing on-device LLM behavior under real device constraints. Run the same prompt against selected local model targets and compare the evidence before choosing what belongs in your app. LLM Bench focuses on practical signals: load time, first output time, generation time, output speed, memory, thermal state, model readiness, raw output text, failures, and saved run history. Use LLM Bench to: - Compare GPU-capable local model runs on iPhone and iPad. - Run repeatable prompts against selected model targets. - Inspect model output, timing, memory, and thermal state in one place. - Save benchmark runs for later review. - Export benchmark evidence as CSV. - Add models from Hugging Face URLs, direct file URLs, or local imports when the artifact format is supported. LLM Bench is built for technical builders who want a compact measurement tool, not a leaderboard or generic AI chat app. It helps you answer the practical question: which local model behaves well enough on this device for this use case? The free tier includes one completed benchmark run. Subscribing unlocks ongoing benchmarking, saved comparison work, and export workflows. Premium is available as an auto-renewing subscription (monthly or yearly), or a one-time Lifetime purchase. Payment is charged to your Apple ID at purchase; subscriptions renew automatically unless canceled at least 24 hours before the period ends. Manage or cancel anytime in your App Store account settings. Privacy Policy: https://thedandano.github.io/michilotl-studios-docs/apps/llm-bench/privacy/ Terms of Use (EULA): https://www.apple.com/legal/internet-services/itunes/dev/stdeula/