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Justin Skycak

@justinskycak
Chief Quant & Dir Analytics @_MathAcademy_ Built the engine behind the world's most efficient math learning system. Author of The Math Academy Way ↓ 🔊 Sky-zack
carrying the floats & logs
justinmath.com/books
Joined December 2016
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    Justin Skycak
    @justinskycak
    Dec 29, 2025
    This is the textbook I wrote to support the most advanced high school math/CS sequence in the USA. It's freely available. Link in first reply. In Math Academy's (former) Eurisko program, which ran from 2020-23, we scaffolded high school students up to doing masters/PhD-level
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    Justin Skycak
    @justinskycak
    Dec 28, 2025
    Can't think of a better way to close out 2025 than seeing the head of NASA ask my former student @matteopaz06 to apply, with a fighter jet ride as a signing bonus. Matteo was one of my students in the Eurisko program, which, during its operation from 2020-23, was the most
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    Justin Skycak
    @justinskycak
    5h
    If you’re in science, learn math/coding/AI. The advantage is absurd. Many scientists are bottlenecked by weak quantitative, programming, and automation skills. If you have them, you eliminate your own limitations AND instantly become in high demand. Never underestimate the
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    Justin Skycak
    @justinskycak
    Aug 12
    Pursue a domain you love, but simultaneously get so insanely technically skilled at math/coding/AI that you can apply it to your domain of interest in an innovative way. Deep domain expertise plus alien-level technical skills equals lots of interesting/rewarding work to do.
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    Justin Skycak
    @justinskycak
    9h
    Half-assery compounds downward: slow progress leads to boredom, which leads to even less effort, which leads to even slower progress.
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    Justin Skycak
    @justinskycak
    13h
    The best remedy for inconsistent training is to do it immediately after waking up, before unexpected events derail the day and before your conscious brain has a chance to talk you out of it.
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    Justin Skycak
    @justinskycak
    15h
    It’s a common misconception that maximum-efficiency learning should feel maximally scaffolded, perfectly smooth and easy the whole way through. While this is more true than not, it misses an important nuance: maximum-efficiency learning should feel just-enough scaffolded that the
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