32" Heavy-Duty Floating Shelf Bracket Rustproof Solid Steel with Black Powder Coating 6" Deep Long Rods Fully Concealable Invisible Hidden Sturdy DIY Hardware Flush Fit Screws Included

Key Supplies 80cm Floating Shelf Bracket Genuine brackets available from Key Supplies, exclusively on Amazon.com Unlike other brackets available on the market that have unsightly square supports, these brackets create the illusion that your shelf is magically floating. Solid steel construction makes our shelf brackets extremely heavy duty and ideal for shelves over 36" long. Made with a 3/16" thick and 1.5" tall steel back plate and 3/4" solid steel support rods, each bracket is guaranteed to be strong and support your shelves without fail. Precision made to the highest standards Unlike other brackets available on the market that have unsightly square supports, these brackets create the illusion that your shelf is magically floating. The Key Supplies Floating Shelf Brackets have pre-drilled mounting screw holes and are easy to install on your wall. You can add more mounting holes if necessary with a 3/16" drill bit. We recommend mounting the bracket into the studs for extra support, though they can be installed directly onto a wall should you wish. Each bracket can hold a maximum of 150 lb when installed correctly in the studs. Designed for the modern home - a floating bracket for your updated, visually stunning interior design project. If you have any questions about installing these brackets, send us a message and we will be happy to help. Customer satisfaction guaranteed when you buy genuine Key Supplies Floating Shelf Brackets. Our brackets are made to last a lifetime. Please note - shelf not included.

ASIN

B077PXMQSR

Embedding

CLIP ViT-L/14 · 768d

Distance metric

cosine

Doc fetch

2ms·cache hitGET /v2/namespaces/amazon-products/documents/B077PXMQSR

How it works

Similar query

24msnearest_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.