
A private, local-first network video recorder for macOS, leveraging Apple Silicon for object detection.
Fregata
A private, local-first network video recorder for macOS, leveraging Apple Silicon for object detection.
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What it does
Fregata is a native network video recorder (NVR) for macOS, built on the open-source Frigate NVR. It enables users to connect RTSP-capable cameras to their Mac, providing fully local video recording and object detection powered by the Apple Neural Engine. The application offers hardware-accelerated decode and encode via VideoToolbox, ensuring efficient performance without relying on cloud services or subscriptions. Users can manage cameras, define detection zones, and review footage directly on their Mac.
Who it helps
macOS users with RTSP-capable security cameras (e.g., Reolink, Amcrest, Hikvision) who prioritize local-first, private video recording and on-device AI object detection without cloud dependencies or recurring subscriptions.
Why it's interesting
Fregata offers a compelling local-first NVR solution that leverages the power of Apple Silicon, providing privacy and performance benefits. Its one-time payment model at a low price point makes it highly accessible for users seeking an alternative to cloud-based or subscription-heavy NVR systems. The focus on native hardware acceleration and ease of setup creates a strong value proposition for a specific, underserved niche.
Card stats
AI-assisted scores estimated from public website information only.
FounderDeck estimate
Medium confidenceFregata is a highly polished, native macOS NVR leveraging Apple Silicon's Neural Engine for object detection, offering a private, local-first solution. The product is clearly defined, solves a real pain point for its niche, and has a clear, albeit low, one-time payment model. The execution quality and specific hardware optimization warrant a solid valuation for a niche tool. However, the $10 one-time price point and the specific market size for macOS users with RTSP cameras limit the immediate revenue potential and thus the valuation compared to broader market SaaS solutions or higher-priced tools.
Valuation date: 2026-06-05. Estimate generated from public signals.
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