👋 Introduction
Hey builders, creators, and AI tinkerers, I’m Maxime Yao, an 20-year-old Business student at the University of Exeter and a Product Manager intern at Amazon. For the past two months, I’ve been building AceClip.com solo AI-powered system that turns long-form videos (podcasts, interviews, lectures) into short, searchable, personalised knowledge clips. I’m now looking for a technical co-founder to help take AceClip from a working MVP to a production-ready web platform. If you’re passionate about AI, education, and the future of knowledge discovery, this might resonate with you.
🎬 What Is AceClip?
AceClip is your “personal YouTube brain.” It helps users find, organize, and revisit the smartest moments buried inside hours of video content.
Core functions:
- 🧠 Automatically detects the most insightful moments in podcasts & interviews
- ✂️ Generates professional short-form clips with captions, face cropping, and speaker tracking
- 🔍 Supports semantic video search using RAG + vector embeddings
- 📚 Builds a personalized knowledge library an encyclopedia of ideas tailored to you
Think of it as the next evolution of intentional learning: turning internet noise into structured, actionable wisdom.
⚙️ How It Works – Under the Hood
- Language & video stack: Python | OpenCV | FFmpeg | GPT for semantic understanding
- Perception & audio: InsightFace for facial recognition, pyannote.audio for diarization
- Knowledge layer: RAG + embeddings for search; DeepSeek-OCR for 10× transcript compression
- Performance: Processes 1 hour of video in ≈ 15 minutes on cloud GPUs
- Scalability: Embedding billions of minutes for <$100 one-time processing and $10–20 monthly storage
- Codebase: ~15 K modular lines (AI-assisted); local backend fully automated at MVP stage
The system chunks transcripts into 3–7 minute segments (≈1 000–1 500 words), indexes metadata (speakers, timestamps, topics), and enables natural-language queries across millions of clips.
🚀 Vision & Roadmap
Phase 1 – Core AI pipeline → ✅ Complete (MVP) Phase 2 – Web platform → Upload videos / YouTube links, generate clips for creators & learners Phase 3 – Discovery engine → Scan 300 K + podcasts for niche topics (“how to grow on LinkedIn”, etc.) and serve as a content repurposing and recommendation system
We’re targeting the $500 M + content-tech market, where existing tools (Opus.pro, NotebookLM, Perplexity) still struggle with moment accuracy and cost. AceClip aims to win through precision in context detection and low-cost scalability (self-hosted on Vast.ai, Salad, Cloudflare R2). 💡 Origin Story
I’ve spent 10 000 + hours watching 100 + high-signal YouTube channels (Founders Podcast, Peter Diamandis, My First Million, Superwall HQ, etc.). The problem: wisdom is buried in hours of video hard to find, hard to revisit. AceClip was born from that pain a tool I built for myself that grew into a mission to help everyone learn more intentionally.
🧩 Who I’m Looking For
A technical or design-minded co-founder who:
- Is strong in Python / AI / ML or web development (FastAPI, React preferred)
- Cares about education, productivity, and content tech
- Builds fast, thinks big, and communicates openly
- Is comfortable refactoring and scaling existing MVPs into production systems
I’m transparent about my own gaps I handle product, vision, and user research, and I need support on architecture, integration, and full-stack deployment. We can start with an NDA + code review to discuss fit and next steps.
🌍 Why Join AceClip?
This isn’t just another AI wrapper, it’s a movement toward intentional learning in an age of information overload.
🤝 Let’s Talk
If this resonates, if you see the inevitable future where AI helps us learn faster and remember smarter, I’d love to connect.
Let’s build the future of learning together.