Price: ₹2,399 - ₹999.00
(as of Feb 21, 2025 13:26:43 UTC – Details)
Product Description
【Efficient Cooling】: Keep your phone cool during extended gaming sessions or live streaming with the Sounce Phone Cooler Gaming Fan. Utilizing semiconductor material, this fan can rapidly cool your device to a refreshing temperature of 59°F-64°F in just under 10 seconds, ensuring optimal performance without overheating.
【Digital Display】: Stay informed about your device’s temperature with the digital display that shows real-time temperature drops. This feature allows you to monitor the cooling process and make adjustments as needed for optimal gaming or streaming experiences.
【Enhanced Gaming Experience】: Immerse yourself in a captivating gaming atmosphere with the cool LED light effects of this upgraded cooling fan. With two mode settings to choose from, you can customize the lighting to suit your gaming preferences, enhancing your overall gaming experience.
【Silent Operation】: Enjoy uninterrupted gameplay or movie marathons without any distractions, thanks to the silent operation of this gaming mobile cooler fan. Its compact and lightweight design, coupled with embedded blue LEDs, adds style and gaming immersion to your setup.
【Versatile Installation】: Designed for easy installation, this gaming cooler for mobile phones offers versatile attachment options without the need for a metal case. With two clips included, you can securely attach it to the back of your phone, ensuring compatibility with most 4.5-7 inch Android and iOS devices. Additionally, the USB C plug-and-play feature, along with the included USB C cable, provides convenient and hassle-free usage for extended gaming sessions or live streaming activities.
Customers say
Customers find the electronic component fan has good cooling performance and a nice size. They appreciate its quality, value for money, and RGB lighting. The product is useful while gaming and works effectively. Customers also like the multi-color light and consider it a must for mobile gamers.
AI-generated from the text of customer reviews