Michael La Barbera

Michael La Barbera

Former Math Chair turned AI Founder.
#96484511 follower14 following
#3,060Last month
9 KP
>10,000All time
9 KP

About

Math educator by day, algorithmic trading enthusiast by night. With 15+ years in mathematics—including serving as Chair of Science and Mathematics at CT State—I’ve dedicated my career to making complex concepts accessible. Now, I’m leveraging that foundation and my research in quantum computing to build Stokestox.ai. My mission is to democratize institutional-grade stock insights, replacing "black box" AI with the quantitative rigor retail investors deserve. From full-stack React development to Python predictive models and exploring Variational Quantum Eigensolvers, I’m driven by the intersection of rigorous math and accessible technology.

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Maker History

  • StokeStoxAI analyzes your stock portfolio in 3 seconds.
    Apr 2026
    • 🎉
    Joined Product HuntApril 2nd, 2026

Forums

Aleksandar Blazhev•

1mo ago

Does having a mentor actually matter in business and startups?

Every top athlete has one (Lebron James, Novak Djokovic, Serena Williams). And it turns out, so do most of the biggest names in tech.

Steve Jobs mentored Mark Zuckerberg in the early days of Facebook. Eric Schmidt mentored Larry Page and Sergey Brin at Google and later credited that relationship as one of the key reasons Google scaled the way it did. Bill Campbell, known as "the Coach of Silicon Valley," mentored Jobs, Schmidt, Jeff Bezos, and dozens of other founders throughout his career.

Michael La Barbera•

1mo ago

StokeStox - AI analyzes your stock portfolio in 3 seconds.

Most retail traders rely on emotion and noisy headlines. Engineered by a mathematics professor, StokeStox levels the playing field. Our dual-engine platform combines custom machine learning (tested with strict out-of-sample data) with Gemini 3.0 to generate clear 0-100 stock scores. Stop guessing and chat directly with institutional-grade data. Features include multi-portfolio sync, AI explanations, and walk-forward backtested signals accounting for realistic slippage.
Aleksandar Blazhev•

1mo ago

Build in public : Yes or No?

Some of the most inspiring startup journeys of the last few years happened in plain sight.

@levelsio built Nomad List and Remote OK live on Twitter sharing revenue numbers, failures, and pivots in real time. @marclou does the same, shipping products publicly and turning his audience into his distribution. Both have built massive followings and real businesses partly because of how openly they build.

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