Mata vs WurldCam

Live interaction with your iOS Simulator — from your iPhone. No Xcode on your laptop. No remote desktop squinting. YOUR MAC STAYS HOME. YOU STAY MOBILE. A Mac Mini on your desk runs Xcode, your coding agent, and the simulator. In your bag: just your phone. Mata is the window between them — a live, resolution-matched stream of your iOS Simulator with full touch control. FULL INTERACTIVE CONTROL Tap, scroll, swipe, and pinch — everything maps 1:1 to the simulator. You're not watching a recording. You're in it. SIMULATOR SHORTCUTS WITHOUT XCODE Trigger Face ID, simulate locations, rotate the device, send memory warnings, and test push notifications — all from the control panel. No Xcode menus required. SWITCH BETWEEN SIMULATORS Running iPhone and iPad builds on the same Mac? Switch between them instantly from your phone. Compare layouts across device sizes without walking back to your desk. QUALITY YOU CONTROL Adjust capture scale, frame rate, and bandwidth to match your network. Crisp over Wi-Fi, smooth over cellular. WORKS WITH YOUR CODING AGENT Pair Mata with Moshi or any terminal app. Your agent builds and runs on the Mac — you see the result live on your phone. Spot what's broken, tell your agent what to fix. Ship faster without ever opening Xcode on a second machine. REQUIREMENTS - A Mac running the Mata host app with an active iOS Simulator - iPhone on the same network (or reachable remotely) Privacy Policy: https://getmata.app/privacy Terms of Service: https://getmata.app/terms

WurldCam turns an iPhone Pro into a posed RGBD capture rig. Every recording contains the colour video, the LiDAR depth map, the camera's position and orientation for each frame, and per-pixel depth confidence — written together into a single file as you record, not stitched together afterwards. Depth is stored losslessly, so the millimetres your sensor measured are the millimetres you get back. Built for people who need the geometry, not just the picture: 3D reconstruction, robotics datasets, SLAM evaluation, NeRF and Gaussian-splat capture, photogrammetry research. • Records to the open wurld format (Matroska/WebM container) or Record3D .r3d • Lossless 16-bit depth, per-frame poses in metres with quaternion rotations • Files stay on your device — no account, no cloud, no analytics • Retrieve captures via the share sheet or the Files app • Read them with the open-source Python and JavaScript tools Requires a LiDAR-equipped iPhone. The support page covers device requirements, retrieving captures via Files, reading the format, why frames get skipped, and where to file issues — so it answers the questions review may probe rather than being a placeholder.