Mind Reader Weighted Glove Set, Integrated Secure Finger Holes, Grip Strength Training Resistance Set for Home Fitness Exercises, 1 lb, 0.45 kg, Black

Ditch the dumbbells with Mind Reader Weighted Gloves. Easily incorporate these weighted gloves into your workouts; the adjustable, portable glove design can be used to add resistance and build muscle in your arms and upper body wherever and whenever you need to add an extra boost to your fitness routine! These sturdy weighted gloves provide extra resistance while jogging, walking, cycling, doing yoga, Pilates, boxing, and other exercises, especially when your regular workouts hit a plateau. Use them instead of clunky dumbbells to develop and tone your arm muscles. This two-pack of arm weights features adjustable straps with heavy-duty hook-and-loop closures to ensure a comfortable and secure fit on wrists of all sizes. The adjustable fit and non-abrasive neoprene material are designed to feel smooth against your skin, making these fitness weighted gloves comfortable to wear while you work out. The mental sand filling conforms to the shape of your wrist, avoiding uncomfortable lumps or sharp angles. The cutouts for your middle and ring fingers help to keep these hand weights properly positioned so they don’t slide or fall off. Add extra resistance to increase strength training, rehabilitate muscles, and improve your balance and coordination during physical therapy exercises, kickboxing, or weight training. Made with durable, moisture-wicking neoprene and styrene-butadiene rubber, this set of adjustable weighted gloves for hands is designed to withstand frequent use over time, with strong, reinforced rows of stitching to keep sand from leaking out. Add these weighted gloves for men and women from Mind Reader Products to enhance your fitness routine. Dimensions: 6.42″ W x 10.24″ L x 1.18″ H Materials: Neoprene, Mental Sand, Styrene-Butadiene Rubber

ASIN

B091NVK2RS

Embedding

CLIP ViT-L/14 · 768d

Distance metric

cosine

Doc fetch

1ms·cache hitGET /v2/namespaces/amazon-products/documents/B091NVK2RS

How it works

Similar query

23msnearest_to_id → /query

Doc fetch goes through Layer's Aerospike pull-through cache; cache hit served the row without touching turbopuffer. The similar query asks Layer for nearest neighbors of the stored product vector — queries don't go through the doc cache, so no cache header is set.