Makingmyself App vs Docklet

Turn your big goal into your next small move. MakingMyself uses AI to turn a personal goal — starting a business, getting healthy, finishing a creative project, anything — into a Quest Map: a visual path of small, checkable Side Quests grouped into stages. No overwhelming plans, no rigid habit trackers. Just one small, doable next step at a time. WHAT YOU GET • AI-built Quest Map — describe your goal, get a path of small quests broken into stages • Adapt as you go — shrink a quest, make it harder, swap it, or postpone it. The path adjusts with you, not against you • Capture proof — a quick note or photo when you finish, with a shareable reflection card • Daily Insight — a short, personalized line tied to your actual goal and current quest • Revisit anything — reactivate a skipped or postponed quest whenever you're ready • Publish & cheer — make an objective public so others can see your progress and cheer you on, or browse what the community is completing Private by default. You decide what, if anything, to share. Big goal. Small quest. Real progress.

Docklet brings a local Docker workspace to iPhone and iPad. Start a bundled Linux VM, wait until Docker Engine is truly ready, then manage containers, images, logs and maintenance tasks from one clear control surface. Docklet keeps runtime feedback visible, so you can tell the difference between a VM that is merely booting and a Docker daemon that is actually responding. When you need more than containers, Docklet can also run extra headless Linux VMs for sidecar services, isolated tests or compact lab environments. Key features: - Start and stop a bundled Docker VM with clear state feedback - Inspect containers, logs, exposed ports and quick actions in one place - Pull images, review cache usage and clean up unused layers - Watch real-time terminal output for boot and diagnostic commands - Forward local ports and open web tools inside the built-in browser - Launch additional Linux VM profiles with visible resource limits Docklet is designed for developers, operators and homelab users who want a compact local runtime they can monitor directly from iPhone or iPad. Note: long-running virtualized workloads remain subject to normal iOS and iPadOS resource and lifecycle limits.