CC Peek vs WurldCam

CC Peek: The Desktop Second Screen for Power Claude Code Users Tired of losing track of multiple active Claude Code sessions? When you have several terminals open, it’s easy to forget which one is still processing, which is waiting for user input, and which is stuck on a tool permission prompt. CC Peek solves this by syncing your session states to your iPhone, turning it into a dedicated, real-time status dashboard right next to your Mac. Key Features: - Multi-Process Monitoring: View the status of all active Claude Code processes on your Mac directly from your iPhone. - Smart Status Indicators: Instantly distinguish between Running, Waiting for Input, Pending Permissions, and Completed states. - Focus at a Tap: Tap any process card on your iPhone to automatically bring the corresponding terminal window or tab to the front on your Mac. - Local Pairing: Seamlessly connect your Mac and iPhone over your local network. - Built-in Demo Mode: Experience the interface and status transitions immediately, even without a Mac nearby. Privacy & Connectivity: CC Peek utilizes local network discovery to connect your devices. No accounts required, no cloud services, and no data is ever uploaded to a server. Your Claude Code content remains private and stays on your local machines. It is designed to be the perfect companion for multi-tasking developers and long-running agentic tasks. Setup Requirements: To use CC Peek, you must install the desktop companion app on your Mac and follow the setup guide to configure the Claude Code Hook. Download the Mac app at: ccpeek.com Disclaimer: CC Peek is an independently developed tool and is not affiliated with, sponsored by, or endorsed by Anthropic. Claude and Claude Code are trademarks of their respective holders.

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.