AI interview practice for campus placements. Sarah reads your resume, asks HR and technical questions, pushes back, and scores every answer. 15 min free.
Next.js. Confidash is hosted on Render rather than Vercel, but the entire product is a Next.js 16 App Router codebase.
The biggest advantage for me as a solo founder has been being able to keep what would normally be multiple services in one codebase. Server actions and route handlers handle voice token minting, resume parsing, payment webhooks, the evaluation pipeline, and the marketing site without a separate API to deploy or keep in sync.
It also shaped the multi-tenant architecture. Each college gets its own branded subdomain. I resolve the tenant by hostname in the proxy layer and pass that context through the application, so adding white-label colleges became primarily a routing problem rather than a separate rewrite of the product.
That architecture helped me move from idea to a working university edition in about two weeks.
Hi Product Hunt 👋
One big problem we noticed with campus placements: students may know the technical concepts and have the right skills, but struggle to explain themselves in a real interview.
They simply don't get enough opportunities to experience a live interview before the actual placement.
Confidash solves this by giving students realistic, spoken mock interviews with an AI interviewer. It reads their resume, asks follow-up questions, challenges vague answers, and gives feedback on how they communicated.
Because knowing the answer is one thing. Being able to explain it under interview pressure is another.
The first interview is free.
OpenOwl
OpenOwl