I've been prepping for engineering interviews lately, and I noticed a problem.
If I ask ChatGPT: "Roast my resume," it gives generic advice like "Add more metrics."
If I ask: "Simulate a technical interview," it asks standard questions like "What is the difference between TCP and UDP?"
The missing link was Context. The LLM didn't know my specific history.
So, I built a tool to fix it.
The Project: Invoxy
I built Invoxy.xyz. It’s a free tool that parses your PDF resume and generates context-aware interview questions.
How it works under the hood
-
Client-Side Parsing: I used
pdf-parseto extract raw text strings from the resume upload directly in the browser (keeping data private). - Context Injection: I built a system prompt that feeds the LLM your specific bullet points + the target Job Description.
- The "Red Team" Persona: I tuned the model to be skeptical. Instead of being nice, it specifically looks for gaps in employment or vague claims (e.g., "You claimed 20% growth here—how exactly did you attribute that to your code?").
The Stack
- Frontend: Next.js
- AI: Google API (Context-aware prompting)
- Parsing: PDF.js / text-extraction
Try it out (Free Beta)
I released it today as a free beta. If you are job hunting, give it a shot and let me know if the "Red Team" mode is too mean.
Live Demo: https://invoxy.xyz
Top comments (1)
Quick update: I just added a 'Red Team' mode difficulty toggle.