iMocha is a skills intelligence and assessment platform that enables talent teams to make smarter talent decisions. More than 300 organisations in 70+ countries are using iMocha’s platform to acquire job-fit talent faster and in measuring the ROI from their talent development initiatives. The platform comes with innovative features to conduct asynchronous interviews, AI-LogicBox (AI-based pseudo-coding simulator), AI-powered language analyser, skill benchmarking, talent analytics, and custom assessment consulting etc. Enterprises from IT/ITeS, Telecom, Banking, Financial and Insurance services, Engineering, and Healthcare verticals are using iMocha’s assessments for technical, functional and soft skills leveraging the world’s largest skill library comprising 2500+ skills across over 300 job roles.
Based on our record, Brickit seems to be more popular. It has been mentiond 11 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Not really a sorter, but https://brickit.app/ was mentioned on HN a while back, and does AI-based lego identification. I haven’t tried it, but it says it can show you where the pieces you need for a specific set are in a photo, so theoretically it should be able to show you everything that belongs in a particular bin as well. - Source: Hacker News / 12 months ago
There is a app for that too, which works off of a photo of your parts: https://brickit.app/. - Source: Hacker News / 12 months ago
If you have an iPhone, you could try the Brickit app. I've never used it, so I can't say how well it works, but the reviews are really good. Source: about 1 year ago
Check out Brickit: https://brickit.app/. Source: over 1 year ago
With regard to Lego, you may be interested in this app: https://brickit.app/ Excerpt from their about us page: “It scans your pile of bricks, identifies every piece in it, gives you ideas what to build with them”. - Source: Hacker News / almost 2 years ago
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