Learning, reimagined.
The world’s best teachers are already on YouTube. The problem was never the explanations, it was finding them. So stop hunting. Pick a topic and L3 builds the lesson for you: the clearest few minutes from each expert, in the right order, followed by a quiz that shows you what didn’t land.
Each topic is a fixed path of concepts, in the order they build on each other, with one expert clip per concept. Every clip plays on YouTube with full credit, so the person who made it gets the view.
The mixed check draws questions across every topic and hides which one each belongs to, so you have to work out what is being asked before you can answer it. That is what an interview does, and what a single-topic quiz never does.
Finance
Valuation, deal mechanics and the accounting the technical rounds are built on.
DCF Valuation
Value a business from its own cash flows, and say which single assumption the answer really rests on.
Taught by: Aswath Damodaran · The Finance Storyteller · The Plain Bagel
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LBO Mechanics & Returns
Follow a buyout from entry to exit and say, in numbers, where the return came from.
Taught by: rareliquid · Excel for Finance · Aswath Damodaran · Peak Frameworks
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Accretion / Dilution
Call a deal accretive or dilutive before opening a model, and survive the follow-up questions.
Taught by: Aswath Damodaran · rareliquid · The Finance Storyteller
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Three-Statement Modelling
Trace any change through all three statements without losing the thread.
Taught by: Brian Feroldi · Accounting Stuff · The Finance Storyteller · Eric Andrews
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Accounting for Finance Interviews
Handle the accounting questions interviews actually ask, and explain why they are asked.
Taught by: Accounting Stuff · Brian Feroldi · Aswath Damodaran · The Finance Storyteller
Start the reelTech
The interview formats that decide engineering and product offers, and the systems underneath them.
System Design Interviews
Structure a 45-minute design answer, and say what each scaling choice costs you.
Taught by: ByteByteGo · NeetCode · Gaurav Sen
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Coding Interview Patterns
Recognise which of a dozen patterns a coding question is really asking for, before you write a line.
Taught by: Ashish Pratap Singh · AlgoMasterIO · NeetCode · Reducible
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Product Sense (PM Interviews)
Structure a product design or metrics answer so it ends in a recommendation you can defend.
Taught by: Lewis C. Lin · Aakash Gupta · Dianna Yau
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How Databases Actually Work
Explain why a query is slow, what a transaction guarantees, and which database the problem actually needs.
Taught by: Hussein Nasser · ByteByteGo · Fireship
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Distributed Systems Foundations
Say what actually changes once the work no longer fits on one machine, and what that costs you.
Taught by: Martin Kleppmann · The Pragmatic Engineer · Gaurav Sen · Arpit Bhayani
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How the Web Actually Works
Follow a request from a typed URL to a rendered page, and know what each hop is doing.
Taught by: ByteByteGo · Computerphile · Practical Networking · TechWorld with Nana · Hussein Nasser
Start the reelAI
From what a model is doing to what gets built on it, and what both mean for the job you are applying to.
How LLMs Actually Work
Explain what a language model is doing, in plain terms, without either mystifying it or dismissing it.
Taught by: Matt Pocock · 3Blue1Brown · Andrej Karpathy · Anthropic
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AI in the Analyst Workflow
Say what these tools actually do to a junior finance job, with specifics rather than slogans in either direction.
Taught by: Kenji Explains · rareliquid · Anthropic · Bloomberg Odd Lots · Prof G Markets · CNBC Television · Bloomberg Technology
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AI Systems: RAG, Agents and Evals
Talk about building on top of a model the way an engineer does: retrieval, tools, and how you know it works.
Taught by: Computerphile · 3Blue1Brown · Jeff Su · Dave Ebbelaar · MLEpath
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Machine Learning Foundations
The vocabulary and the judgement calls underneath every model, before any of it involves a neural network.
Taught by: Steve Brunton · DeepLearningAI · StatQuest · Kimberly Fessel
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How Neural Networks Learn
Follow one number from a loss back through the weights, and the rest of deep learning stops being a black box.
Taught by: 3Blue1Brown · StatQuest · deeplizard · Andrej Karpathy
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Building With LLMs
The engineering that sits between a model and a product: what goes in the context, what comes back out, and what it costs.
Taught by: NetworkChuck · Google Cloud Tech · Dave Ebbelaar · Efficient NLP · Matt Pocock
Start the reelReels teach the concepts. People teach the edge.
When you’re past the fundamentals: a 1:1 diagnostic finds exactly what’s blocking you, and the bootcamps drill it until it’s interview-ready.