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Explain Youtube Video To Me Like I'm 5

License: MIT

Have a 5-hour YouTube video but no time to watch it? This LLM application pulls the main topics and explains to you like you are 5, so you can catch up in just minutes.

Design Doc: docs/design.md, Flow Source Code: flow.py

I built this in just an hour, and you can, too.

  • Built With Pocket Flow, a 100-line LLM framework that lets LLM Agents (e.g., Cursor AI) build Apps for you

  • Check out the Step-by-Step YouTube Tutorial:



Example Outputs


NVIDIA CEO Jensen Huang's Vision for the Future

DeepSeek, China, OpenAI, NVIDIA, xAI, TSMC, Stargate, and AI Megaclusters

Demis Hassabis – Scaling, Superhuman AIs, AlphaZero atop LLMs, AlphaFold

Elon Musk: War, AI, Aliens, Politics, Physics, Video Games, and Humanity

In conversation with Elon Musk: Twitter's bot problem, SpaceX's grand plan, Tesla stories & more

In conversation with President Trump

Jeff Dean & Noam Shazeer – 25 years at Google: from PageRank to AGI

In conversation with Tucker Carlson, plus OpenAI chaos explained

Jonathan Ross, Founder & CEO @ Groq: NVIDIA vs Groq - The Future of Training vs Inference

Volodymyr Zelenskyy: Ukraine, War, Peace, Putin, Trump, NATO, and Freedom

Sarah C. M. Paine - Why Dictators Keep Making the Same Fatal Mistake

Satya Nadella – Microsoft’s AGI Plan & Quantum Breakthrough

Full interview: "Godfather of artificial intelligence" talks impact and potential of AI

The Stablecoin Future, Milei's Memecoin, DOGE for the DoD, Grok 3, Why Stripe Stays Private

The Future Mark Zuckerberg Is Trying To Build

Tucker Carlson: Putin, Navalny, Trump, CIA, NSA, War, Politics & Freedom

How to Run

  1. Implement call_llm in utils/call_llm.py so it takes a string and returns a string.

  2. Install the dependencies and run the program:

pip install -r requirements.txt
python main.py --url "https://www.youtube.com/watch?v=example"
  1. When it’s done, open output.html (created in the project folder) to see the results.

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