For the past two years, I've been diving into AI studies and work, but I craved something more meaningful.Looking around, I noticed a common problem: job seekers feeling overwhelmed and bored with the repetitive task of filling out CV templates that seem to have been used by everyone, only to face rejection. On the flip side, recruiters were spending excessive time on sorting through applications.So, I came up with a solution for both parties.I created Xandidate, an AI-powered application that streamlines the recruitment process. Recruiters simply need to create a form, input the job description, and share the form link where candidates can apply. That's it. The AI then takes over, analyzing each applicant based on the job description, assigning a score, and providing a detailed evaluation.For candidates, Xandidate eliminates the need for traditional CV submissions. Instead, they can express themselves genuinely, describing their skills and experiences in their own words. No more CV hassles; that's a thing of the past.This app is built using Next.js and is hosted on Vercel.

JobXRecruiter: AI-powered CV review tool. Save time, reduce candidate evaluation time, and focus on hiring. No subscription, pay per use.

CVScoring.com is designed to optimize and ease your job application process with advanced tools. Our platform provides: Key Features: * Job Matching Score * Cover Letter Generator * ATS Resume Checker * Interview Coach * Career Coach

Hi HN!I have been working on https://resgen.app for a couple weeks, and wanted to share it since it has been helpful for me in my own job search.The idea came about after the frustration of tailoring each resume for each job. The way we actually talk about our experiences and the way they are portrayed on the resume are sometimes different. So, I wanted to make something that takes my rambling about my experiences and turn it into a custom resume for each job.Resgen is a chrome extension / web app that tailors your experiences to best match the job description. On every LinkedIn job, a new button will appear that says "Generate". When clicked, a tailored resume will be generated using the experiences you entered on the app. It's also a good way to keep track of which resumes went to which job.Looking forward to hearing your feedback!

Hey HN,I'm excited to share a project I've been working on for the past few months. As someone who has spent countless hours tweaking my resume for different job applications, I wanted to find a way to make this process more efficient and effective. So, I built a website that tailors your resume for each job you apply for.You can check it out here: https://resume.inkLooking forward to your thoughts!Cheers, Sami

As someone who has hired extensively, I discovered that approximately 80% of my time spent using an ATS was dedicated to reviewing CVs and rejecting applicants.So, I created a very simple ATS that automatically rejects and pre-selects applicants based on how well their application (including responses to clarification questions) and CV match the job description.

Hi HN! I'm Nick. I've developed a solution to find the best people in any field, instantly. Would like to discuss this with the community of like-minded people.In short, any CV is just a list of activities and achievements. When recruiters screen CVs, they evaluate those activities in their heads, making up an overall judgment about the person. This work takes time, and it's very subjective. I was a recruiter too, screening hundreds of CVs every day, and asked myself: Why can't we just build a single, objective scoring system, put it inside the system, and instantly see all candidates scored and ranked?If you look at your CV and try to evaluate yourself - try to see a little deeper and break down this evaluation process. You can see that each activity is just a set of parameters. By assigning weights to those parameters, and having proper formulas, we can score each activity. Basically, we want the system to be like a good, professional recruiter. Of course, we are not interested in parameters that can lead to bias. Only activities and achievements. To make it more objective, we add more types of activities, much more than one can add on LinkedIn (as an example).I've built an MVP with the university's grant - and this solution proved to work. Not only scores and ranks all professionals in any field. Since 1) we transformed all activities into numbers and b) each activity has some timing - we get statistical data for any person, very similar to the activity overview on GitHub. It's possible to make forecasts with high probability. From my experience, people tend to keep their activity level for many years. High-performing students usually become high-performing employees and quickly grow through their careers.Even more, by combining individual scores, we get an overall score of any team or organization. We can rank a college based on the scores of all current students, alumni, and faculty. We can rank a company based on the scores of all employees and top management. We can compare teams and companies, evaluate their human capital, and forecast their growth. We can connect human capital data to financial data - to make better, informed business decisions.Being a recruiter, I used various solutions available on the market. I was wondering why all of them are similar to each other and why they're all bad. Is it because the entire approach was wrong? Do we need job posts and applications when we instantly see all lawyers in the city scored and ranked by their experience and results? Do we need ATS? Line managers always asked me why it took so much time to find a single good candidate. They just wanted all the best candidates right now. Do we need to collect hundreds of applications and arrange time-consuming recruitment funnels? Or do we need a merit-based ranking and instantly choose a bunch of candidates? (Of course, we should never have graphic designers and accountants in one ranking.) At the end, there's always an interview or two. And only a manager can make the final decision.So what do you think? (By the way, if you would like me to join your team, contact me at oitkenmen@gmail.com)

I was tired of major job boards like LinkedIn/Indeed/Glass Door having spammy, promotions, and irrelevant job postings. Especially in ML where it was a pain to find MLE roles specializing in Computer Vision.So I built Rocket Jobs. It looks at your resume and then uses semantic search to match you to relevant job postings based on your actual work experience. I spent a lot of time improving this "RAG" system by trying different embedding vendors and techniques to improve retrieval quality.I intend to keep this 100% free. I'm able to run it for $0 rn. I'm also parsing 2M tokens a day all for free because I'm just using a 8B param llama for free rn from cerebras, groq, and together.ai. I plan to migrate to gemini later.Also getting free postgres from aiven.io and free hosting from heroku student discount valid for 2 yearsLink: https://www.rocketjobs.app/

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