About
Hi, I'm Pierre
Founder of Podcastify · CS Engineering student at Université de technologie de Troyes
I'm a computer science engineer who builds and ships products. I spend most of my time writing code, talking to users, and figuring out how to make things actually work in production.
I'm an auditive learner — I retain information much better when I hear it than when I read it. Podcasts, lectures, audio books: that's how I consume content. But most of the things worth reading don't come in audio form. So I built Podcastify to fix that for myself — and apparently for a lot of other people too.
What Podcastify does
Podcastify turns any piece of content into a produced two-host podcast episode in under three minutes. Paste a URL, upload a PDF, drop in an image, or write raw text — the platform extracts the content, generates a natural back-and-forth conversation with an LLM, then voices it with neural text-to-speech.
- Articles, blog posts, newsletters, and websites
- Research papers and whitepapers (PDF)
- Meeting notes and presentations
- Raw text or ideas you want to think through out loud
Background
I'm currently finishing my computer science engineering degree at UTT while freelancing as an AI engineer. Before going full-time on Podcastify I worked as an AI software intern at Pretto, and built a RAG-powered chatbot for Live session on a freelance mission.
The stack
The pipeline runs on FastAPI + Celery workers, uses Google Gemini for transcript generation via LangChain, and supports multiple TTS providers — Gemini, OpenAI, ElevenLabs, and Edge. The frontend is Next.js with Supabase for auth and storage. Everything is containerised and deployed on a single docker-compose stack.