CodeBaobab

The “Grind” is Broken.

Prepare for technical interviews through the natural evolution of algorithms. Don’t just solve problems—unlock each one from what you learned before.

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Learning paths

Build the skills your interview path requires.

Algorithms and the Data Science & Machine Learning path are available now. SQL & Data is growing next.

Learning philosophy

Develop deep roots, strong branches, and skills that keep growing.

Build knowledge that compounds: fundamentals support reusable patterns, and reusable patterns unlock harder problems. Every new skill stays connected to what you already understand.

  1. Root
    Build the foundations

    Big-O, arrays, and the language of algorithms.

  2. Trunk
    Strengthen reusable patterns

    Ideas you can recognize and reproduce under pressure.

  3. Branch
    Solve what you have not seen

    Progressive problems turn understanding into independence.

Start at the roots
Why it works

Random problems don’t build real understanding.

Jumping into a random problem set teaches you that one problem. A structured path teaches you the pattern underneath it — so the next problem gets easier instead of harder.

Progressive difficulty

Every topic builds on what came before, so you're never dropped into something three steps ahead of what you know.

Concept before code

Read the idea, see it visualized, then write it yourself — instead of reverse-engineering a pattern from a solution you looked up.

Real judge, real feedback

Run your code against real test cases in the browser — not just a green checkmark for "it compiled."