• Sat. Feb 7th, 2026

NEWS HUNT EXPRESS

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beatXP Vector 1.30” HD Display Bluetooth Calling Smart Watch, Rotary Crown, 320 * 320px, 60Hz Refresh Rate, 100+ Sports Modes, 24/7 Health Tracking (Silver)

Bynewshuntexpress

Aug 24, 2024
beatXP Vector 1.30” HD Display Bluetooth Calling Smart Watch, Rotary Crown, 320 * 320px, 60Hz Refresh Rate, 100+ Sports Modes, 24/7 Health Tracking (Silver)


Price: ₹5,499 - ₹2,245.00
(as of Aug 24, 2024 00:31:55 UTC – Details)


From the manufacturer

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1.30 Ultra HD Display1.30 Ultra HD Display

100+ Sports Mode100+ Sports Mode

Created To ActCreated To Act

1.30” Large Smartwatch: Unveiling our 1.30” Ultra HD Display Smart watch. Flaunting a dynamic 60Hz Refresh rate and an ever-ready it’s not just a watch — it’s your statement of seamless tech and timeless elegance.
Advanced Bluetooth Calling: This Bluetooth calling smart watch, driven by the smart EzyPair Technology, liberates you from the chore of grasping for your phone. With the power to answer calls straight from your wrist, your conversations flow seamlessly, making missed connections a thing of the past. Elevate your communication, one beat at a time.
24/7 Health Tracking: Stay on top of your wellness with our 24/7 health tracking feature, monitoring your heart rate, sleep patterns, SpO2, Menstrual cycle tracker and more.
AI Voice Assistant: Our AI voice assistant is your trusty sidekick, ready to answer your queries, set reminders and keep you organized.
100+ Sports Modes: With 100+ sports modes, including yoga, swimming, and high-intensity training, our fitness and sports smart watch is the ultimate fitness tool to unleash your inner athlete.

Customers say

Customers like the appearance and quality of the smart watch. For example, they say it looks good and is well produced. That said, some complain about the connectivity and performance. For instance, they mention that the Bluetooth is not working very well and the screen does not work properly. Customers also dislike the sensor. Opinions are mixed on value.

AI-generated from the text of customer reviews