Rebrickable

Online Lego platform for MOCs From Wikipedia, the free encyclopedia

Rebrickable is an online platform allowing users to post and sell instructions for Lego designs, including alternate builds of sets. It was started by Nathan Thom in 2011 and has over one million users.

Country of originAustralia
CreatedbyNathan Thom
Users1.7 million[‡ 1] (as of January 31, 2026)
Quick facts Country of origin, Created by ...
Rebrickable
Official logo
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Screenshot of Rebrickable as of February 2026
Country of originAustralia
Created byNathan Thom
URLrebrickable.com
Users1.7 million[‡ 1] (as of January 31, 2026)
Launched2011
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History and features

Rebrickable was founded by Nathan Thom in 2011; initially to mainly index Technic sets.[1][2][‡ 2] Thom told Popular Mechanics in March 2020 that "I began Rebrickable because I had thousands of pieces I collected from sets and wondered if there was something else, already designed, I could build with them".[3] The website went through major updates in 2014 and 2017, respectively.[‡ 3][‡ 4] In 2017 a similar platform known as MOCPlans merged with Rebrickable after it was shut down.[‡ 5] A sister website for file hosting, Bricksafe, was launched in 2013.[‡ 6]

People are able to post MOCs (My Own Creations) with the option to sell instructions. The buyer can then acquire the parts elsewhere and build it. Alternate builds reuse parts from existing sets. The website hosted over 15,000 MOCs by 2020.[4][3][5][6] Over 100,000 MOCs have been posted.[‡ 1] The Build feature shows what a person can design with their current collection.[7] According to the Australian Financial Review, designs for ships, trains and large buildings are particularly popular, as are Star Trek designs, as Lego did not have a licence for the franchise until 2025, when an official Enterprise model was released.[8]

Rebrickable's data on Lego sets is crowdsourced, with a team of administrators attempting to ensure its accuracy and reliability.[9]

Among the projects developed by Rebrickable is RebrickNet, an artificial intelligence system for detecting Lego parts in photos.[10]

See also

References

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