I kept blanking during technical interviews so I built an AI that listens to calls and answers questions in real time — fully open source, works with local LLMs too
Long story short: I bombed a few interviews because my brain
decided to go on vacation right when I needed it most.
I'd know the answer 10 minutes after the call ended. Classic.
So instead of just practicing more (boring), I built
Helply — a desktop AI meeting assistant that:
- Listens to your call via mic
- Lets you type or speak questions
- Gets you AI answers instantly, right on your screen
- Hides itself before you screenshare (one toggle)
The part I'm most proud of: it works with literally any
LLM backend.
Cloud: OpenAI, Groq, Anthropic
Local/Private: Ollama, LM Studio
Custom: any OpenAI-compatible endpoint (vLLM, llama.cpp,
OpenRouter, LocalAI, your own server, whatever)
If you use Ollama locally — nothing leaves your machine.
Full privacy. No API costs. No cloud dependency.
You can also add your resume and the job description to
the settings, and it tailors every answer to your actual
experience and the role. Which is wild.
It's built with Node.js + Electron, runs on Windows/macOS/
Linux, and is MIT licensed.
I'm not selling anything. Just built something I needed and
figured others might too.
GitHub: github.com/PIYUSH-MISHRA-00/Helply
Would love feedback — especially from people who've tried
similar tools or have opinions on the local LLM setup.
What backend are you running if you try it?