Compare DejaVu vs. Macyou

DejaVu is a specialized app designed for Mac users that functions as both a private screen-memory and desktop-search tool. When activated, it captures and compresses screen frames whenever there is a change, enabling it to extract and store the text displayed on the device, so you can easily locate previously viewed information by searching for specific words, numbers, or phrases. The search results will provide details about the app, the window, and the timestamp, while a timeline feature allows you to navigate through your activity by the hour, and the My Day section gives an overview of your usage categorized by application and project. The screen memory is securely stored on your Mac, encrypted for safety, and requires Touch ID for access. Users have the option to pause the capture process, exclude specific applications and websites, and export their memory in widely-used formats. The free version retains memory for three days on the main display, while the Pro version offers unlimited memory across all displays, browser extensions, the ability to export data, smart collections, and a unique feature called Ask Your Memory, which provides answers directly on the device. DejaVu is compatible with macOS 26 Tahoe or later and works on both Apple silicon and Intel Macs, while the functionality for generating written AI responses necessitates the use of Apple Intelligence available on Apple silicon devices. This ensures users have a comprehensive and efficient method for managing their screen activity and retrieving information seamlessly.

Macyou provides dedicated Apple Silicon Macs specifically designed for artificial intelligence tasks. Users can choose from various configurations, ranging from the M4 Mac mini to the M3 Ultra Mac Studio, equipped with up to 256 GB of unified memory. Additionally, they can select from a range of pre-configured stacks, including local LLMs through Ollama like Llama, Qwen, Mistral, and DeepSeek, as well as agent frameworks such as CrewAI and LangGraph, or machine learning development environments like MLX and Jupyter, enabling them to achieve a fully operational deployment in approximately five minutes. Each deployment offers an OpenAI-compatible API, allowing users to adapt their existing OpenAI SDK code easily by simply modifying the base_url; customers also benefit from SSH access with root privileges and a remote desktop accessible via a web browser. Every client receives a dedicated physical machine that features full-disk encryption and ensures that data is securely wiped between users, with the service hosted in a jurisdiction that complies with GDPR regulations. The pricing model consists of a fixed monthly fee per machine without incurring any costs per token, and Thunderbolt 5 clustering enables the pooling of unified memory across multiple nodes for handling larger models effectively. Furthermore, the service publishes measured inference benchmarks, available under a raw JSON format with CC BY 4.0 licensing, which provides transparency regarding the performance in tokens processed per second for each chip. This comprehensive approach not only enhances user experience but also ensures robust performance for intensive AI workloads.