Kong Italy Frog 360 Black – Textile-Friendly Swivel Connector

Introducing the Kong Italy Frog 360 Black, a thoughtful upgrade that fuses our renowned FROG connector with a textile-friendly swivel. Built in Italy, this piece is designed to handle textile elements directly and help you create lanyards that resist twists and tangles.

The textile-friendly swivel is the heart of the experience. It glides with fabric, straps, and cords, making it easier to connect to bags, backpacks, or camera gear without fighting twists. The design reduces wear on textile elements while keeping the connection secure for everyday use.

Swift, secure connections

The innovative automatic closing system on the gates delivers quick, directional connections. With a simple operation, you can switch directions and lock the connector with confidence, even while on the move. This adds a layer of reliability for outdoor adventures or travel days.

• Direct connection with textile elements for clean, streamlined setups.
• No-twist lanyards help cords and straps stay untangled during activity.
• Automatic closing gates enable fast, directional connections with quick secure latching.
• Aluminium alloy body delivers a lightweight yet durable build.

Materials and craft meet everyday practicality. The Frog 360 Black is made from high quality aluminum alloy, combining rigidity with lightness so it can ride along on backpacks, bags, or gear without adding noticeable bulk. The product is made in Italy, reflecting careful engineering and attention to detail that supports long-term use.

• Lightweight and robust construction suitable for travel, hiking, and daily carry.
• Sleek black finish that resists wear and complements diverse gear styles.

In real-life scenarios, this connector shines when you’re working with textiles, webbing, or fabric pouches. It supports quick orientation changes, makes it easier to secure cords or lanyards, and keeps fabric connectors aligned during movement. Consider it for systems where you want a tidy setup, simple handling, and dependable performance, without promising outcomes for any individual use case.