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Merit

Merit - evaluate talent based on simulated work

Merit, a simulated work environment for discovering talent through proof of work. Candidates join teams and operate inside a realistic simulated software, AI, or data company. - For candidates, Merit is a way to prove ability without relying entirely on a CV or interview. - For employers, the idea is simple: instead of evaluating someone through a few hours of interviews, you can discover and hire individuals or entire teams based on weeks of observed performance.

Top comment

Hey Product Hunt — I’m the founder of Merit. We built Merit around a simple question: what if people could prove they can do the job by actually doing the work? Merit puts candidates into a simulated company for four weeks. They join a small team, get real-world assignments, work with an AI project manager, and ship software, data, ML, or go-to-market work. By the end, they have a track record of how they actually perform: what they shipped, how they collaborated, how they handled ambiguity, and how they improved over time. For candidates, it’s a way to build credible proof of work. For employers, it’s a way to discover talent from observed performance rather than just applications and interviews. We’re still early and learning a lot about how realistic the simulations should be, what signals are actually useful to employers, and how teams should be evaluated. I’d especially love feedback on one question: If you were hiring someone, what would you need to see from four weeks of simulated work before you trusted it as a hiring signal? Thanks for checking out Merit.

About Merit on Product Hunt

Merit - evaluate talent based on simulated work

Merit was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #117 on the daily leaderboard. Merit, a simulated work environment for discovering talent through proof of work. Candidates join teams and operate inside a realistic simulated software, AI, or data company. - For candidates, Merit is a way to prove ability without relying entirely on a CV or interview. - For employers, the idea is simple: instead of evaluating someone through a few hours of interviews, you can discover and hire individuals or entire teams based on weeks of observed performance.

On the analytics side, Merit competes within Hiring, SaaS and Artificial Intelligence — topics that collectively have 536.9k followers on Product Hunt. The dashboard above tracks how Merit performed against the three products that launched closest to it on the same day.

Who hunted Merit?

Merit was hunted by Sarah Cohen. 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.

For a complete overview of Merit including community comment highlights and product details, visit the product overview.