Hoverboard Go Kart with Rear Shock Absorption, Hoverboard Seat Attachment Accessory for 6″ to 10″ Hoverboard, Adjustable Frame Length & Off-Road Rubber Wheel (Not Including Hoverboard

Amazon
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Price: $167.00 - $109.65
(as of Dec 27, 2024 10:42:10 UTC – Details)



【Transform Your Hoverboard into Go Kart】Turn your hoverboard into a fascinating Flytraks Hoverboard Go Kart with our hoverboard go kart attachment. The safety manual operation system, allows you easily & smoothly forward/backward/left/right and have the ability to perform 360° spins and even drift. NOTE: Not include hoverboard.
【Comfortable Seat & Foam Padded Handle】The upgraded hoverboard kart seat has a dual shock absorption function, can perfectly absorb the vibration when drive on the road, bringing you a comfortable and smooth driving experience. Soft sweat-absorbing foam padded handles, non-slip and feel good, bring you enough sense of security.
【Adjustable Frame Length & Rubber Wheel】The hoverboard attachments are suitable for various ages and height. Durable heavy duty telescoping frame, can be adjusted from 28.3” to 33.5”, maximum load of 265 lbs/120kg. Upgraded off-road rubber wheel allows you to cope with the challenges of more complex roads, enjoy the happy kart’s time.
【Suitable for Most Models】Our hoverboard seat attachment is perfectly compatible with 6.5-10inch hoverboard or self balancing scooter (NOTE: Don’t fit for hoverboards with bar in the middle). More safer for younger kids and those with poor balance, enjoy another way to play hover board, best gift for kids and adults!
【Easy to Assemble】We offer extra 2 sets of straps and detailed illustrated assembly instructions and all necessary tools so that the installation can be completed in 5-10 minutes.

Customers say

Customers find the ride-on toy offers good value for money. It’s easy for them to assemble and use, with clear instructions. The build quality is good, with heavy-duty straps and sturdy steel construction. They find it fun to ride and say it fits well on hoverboards.

AI-generated from the text of customer reviews

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