AirProof AI vs Port Radar for macOS: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of AirProof AI and Port Radar for macOS — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
AirProof AI
AirProof AI
AI-powered airflow simulator that finds the best spot for your air purifier in seconds using a physics-informed model.
Key features
- Physics-Informed AI Engine: Runs a real-time airflow prediction model trained on physics rules and room scenarios instead of pure heuristics.
- Instant Airflow Prediction: Move the purifier around a 3D room preview and see updated airflow coverage in seconds without any simulation setup.
- Purifier Brand Presets: Pick your model from Dyson, Xiaomi, Philips, Levoit, Blueair, Coway, Honeywell, Winix, Shark, Rabbit Air, Oransi, and more.
- AI-Trained Room Scenarios: A library of ready-made rooms — standard bedroom, living room, office, plus premium double bedroom, studio, open plan, meeting room, clinic, classroom, and cabin layouts.
- Free Starter Setups: Three standard room setups (bedroom, living room, office) are free after signup so you can validate placement before upgrading.
- Multi-Zone Room Support: Premium adds L-shaped and open-plan rooms with kitchens, lounges, and beds so multi-zone homes get accurate placement guidance.
Best for
- Home Purifier Placement: Homeowners test where to put a new Dyson or Levoit purifier before drilling holes or committing to an outlet.
- Landlord & Airbnb Prep: Property managers optimize purifier placement across bedrooms and living spaces before guest stays.
- Small Office Air Quality: Offices with open workstations visualize coverage to make sure air is filtered near desks and meeting areas.
- Clinic & Classroom Compliance: Vet clinics, meeting rooms, and classrooms use scenario templates to place purifiers where airflow matters most.
- Purifier Purchase Decisions: Buyers compare how different brand models cover the same room before deciding which unit to buy.
Port Radar for macOS
Juan Sebastian Solano
Free open-source Mac menu bar app that lists every listening localhost port and uses on-device Apple Intelligence to explain what each process is.
Key features
- Menu Bar Port Scanner: Lists every listening localhost port in the menu bar with port number, PID, owning project, runtime, and the exact command line.
- Apple Intelligence Explanations: Ask in plain language what a process is, why it has been running, and whether stopping it is safe; answers are generated on-device with no cloud call.
- Project Grouping: Groups processes by the project directory that owns them and flags shared or orphaned processes with no obvious parent.
- One-Click Cloudflare Tunnels: Share any local port as a public URL through a Cloudflare quick tunnel, auto-installing cloudflared with no CLI, ngrok, or account setup.
- Clean Process Control: Stop a process gracefully or force-quit it with a confirmation step, directly from the menu bar.
- Live Tunnel Management: See which tunnels are currently live and public, copy their URLs, and stop them at any time.
- Fully On-Device Privacy: All inspection and AI explanation happens locally; no process data or command lines are sent off the machine.
- Open Source Under Apache 2.0: The full source is published on GitHub, so the app can be audited or built from source.
Best for
- Port Conflict Debugging: Finding out which forgotten process is holding port 3000 before starting a new dev server.
- Runaway Process Triage: Identifying a Node or Python process quietly eating CPU and deciding whether it is safe to kill.
- Preview Sharing: Handing a teammate or client a live public URL for a work-in-progress local app in seconds.
- Multi-Project Development: Keeping track of which of several simultaneously running projects owns each active port.
- Onboarding and Handover: Letting a developer new to a codebase understand what the local stack actually starts up.
- Privacy-Sensitive Environments: Getting AI assistance about local processes in settings where sending command lines to a cloud model is unacceptable.