Interviews are stressful for a very practical reason: most people do not know what kind of follow-up questions they will face until they are already in the room.
Over the past few weeks, another developer and I have been building Offer Ready, an AI-powered workspace for resume review and mock interview practice.
The idea is simple: instead of giving users generic interview questions, we try to generate questions from their actual resume, target role, experience level, and interview round.
What it does today
Offer Ready currently supports:
- resume diagnosis based on role fit and project depth
- AI mock interviews with role-aware follow-up questions
- answer hints and improvement suggestions during the session
- interview records and review notes across sessions
- invite-based alpha access while we keep improving the product
The current focus is not to replace human interviewers or coaches. It is more like a practice environment where candidates can discover weak spots before the real interview.
Tech stack
We are building it with:
- React / Vite on the frontend
- Supabase for auth and alpha invite access
- OpenAI for resume analysis, question generation, and feedback
- Vercel for deployment
One interesting product challenge has been balancing structure and flexibility. For example, target roles need presets for common paths like Engineering, Data, Product, and AI / ML, but users also need to type custom roles when the presets do not fit.
What we are looking for
We are still in alpha, so we are mostly looking for early feedback from people who are preparing for interviews, switching roles, or building tools in the career / AI space.
If you want to try it, the app is here:
https://offer-ready.vercel.app
We are sharing alpha invite codes and product updates in Discord:
Would love to hear what you think, especially around the mock interview flow and whether the feedback feels useful in a real preparation workflow.