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  6. 6CA

    I've long had a dislike for leetcode interviews on both sides of the coin. Project-based interviews can also be challenging because it can end up filtering out folks who don't want to spend several hours building something in their free time. I met up with a friend last year -- a very senior dev -- who had taken some time off to study leetcode exercises while preparing for FAANG interviews. It struck me that one of the key measures of whether a candidate is a fit for a team is rather synthetic. CodeRev.app is a simple, lightweight tool that helps teams evaluate candidates using code reviews.…

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    We are a recruiting startup with a small twist. We represent engineering candidates who receive a recommendation through our personalized vetting process, which includes a technical interview with an unbiased third-party senior engineer. We match the candidates with interviewers based on their background and the roles they are looking for. We pay for the senior engineer's time to interview so that the feedback is completely unbiased. These interviews are unique in that they are not set up to test if a candidate is a fit for a pre-set role, but instead they are personalized to extract each…

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    Coding interviews are broken. They're a gatekeeping ritual that has NOTHING to do with actual software engineering. We're forced to memorize obscure data structures and algorithms we'll never use, while being watched like lab rats through screen-sharing. I got fed up and built Stealth Interview - an undetectable AI assistant that works during technical interviews. It runs silently in the background while you're screen-sharing on Zoom or any other platform. The interviewer sees nothing, but you get the help you need. THIS is the only way you game the system, because the game is rigged. This…

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    About the feature: We built a tool for automatically assessing business health from complex management financial documents and bank statements. In order to get this working reliably, we had to iterate extensively on the prompts for the structured output at the field level. This led us to building a feature to allow users to improve them too, and with some context engineering, we have what we are calling “feedback loops”. Here is a 2 min demo https://www.youtube.com/watch?v=ZDNlEZydoXU How it works (video runs through these steps): 1. Create a target form for your extraction…

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