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Career OS is an AI‑powered Career Intelligence platform that turns your real work into measurable career capital. Upload strategy cases, system designs, growth reports, UX audits, code, and more. Our AI scores each artifact on quality, depth, and market relevance, then rolls everything into a live Hireability Score with evidence portfolios, gap analysis, and an Opportunity Engine so you can stop guessing and start showing proof employers actually value.
Career OS is an AI-powered Career Intelligence Platform that turns your real projects and achievements into measurable career capital. Instead of courses and certificates, you upload real work: strategy cases, system architectures, growth reports, UX audits, code repos, and more. Career OS evaluates each artifact with AI, scoring quality, execution depth, and market alignment, then rolls everything into a live Hireability Score so you know exactly how ready you are for your target role. You get evidence portfolios, gap analysis, and an Opportunity Engine that maps your verified skills against real job criteria, so you can stop guessing and start building proof employers actually value.
Hey Product Hunt! I’m roc, the maker of Career OS.
Over the past few years, I’ve watched the hiring market shift: AI writes resumes, optimizes LinkedIn profiles, and generates “perfect” portfolios in minutes. On paper, everyone looks great – but employers still struggle to see who can actually execute.
Career OS is my attempt to fix that. Instead of adding yet another course or certificate, Career OS focuses on proof of work. You choose a target role (PM, SWE, Data, Marketing, UX, Sales, Founder), complete real-world missions like strategy cases, system audits, or growth analyses, and upload your artifacts. Our AI evaluates each piece for depth, structure, and market relevance, then converts it into a live Hireability Score and verified evidence portfolio.
The goal is simple:
Help professionals stop hoarding courses and start compounding Career Capital.
Help employers move from keyword filtering to evidence-based hiring.
I’d love your feedback on:
The scoring model – does the concept of a Hireability Score make sense to you?
The evidence missions – which roles or missions should we prioritize next?
Any friction you feel between “real work” and “how it’s represented” in your current career.
I’m here all day to answer questions, discuss career capital, and share what we’re building next.
About Career OS on Product Hunt
“Stop Guessing. Start Measuring Your Career.”
Career OS was submitted on Product Hunt and earned 4 upvotes and 2 comments, placing #154 on the daily leaderboard. Career OS is an AI‑powered Career Intelligence platform that turns your real work into measurable career capital. Upload strategy cases, system designs, growth reports, UX audits, code, and more. Our AI scores each artifact on quality, depth, and market relevance, then rolls everything into a live Hireability Score with evidence portfolios, gap analysis, and an Opportunity Engine so you can stop guessing and start showing proof employers actually value.
Career OS was featured in Hiring (15.4k followers), Productivity (655.7k followers) and Career (2.1k followers) on Product Hunt. Together, these topics include over 159.7k products, making this a competitive space to launch in.
Who hunted Career OS?
Career OS was hunted by roc chiang. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Career OS stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
roc chiang