About UsageBoost

Who's Behind UsageBoost

Hi — I'm Jascha.

I'm a Senior Engineer at Boxador, with over 20 years of experience building real-world software systems across systems programming, data engineering, and applied machine learning. I'm also a technical advisor to Leben & Cerne Corporation (XrossWorld).

I'm the son of a mainframe programmer from Venice, California, and I've been building computers and writing code since the TRS-80 era. I got my start developing production systems at age 19 for what was then the largest sports photography company in Southern California — an experience that taught me very early how software behaves under real operational pressure.

Over the years, my work has crossed graphic design, audio engineering, full-stack development, and machine-learning systems — including building models for fantasy sports and betting analysis. I've worked across more than a dozen programming languages and frameworks, but my constant focus has been the same:

turning messy data into clear, decision-ready insight.

Why UsageBoost Exists

I'm a stats nerd, and I love DFS — but I've always been frustrated by how injury news is handled.

Most analysis either:

• Reacts too hard to headlines
• Chases narratives
• Or assumes usage redistributes cleanly (it doesn't)

UsageBoost exists to do the boring, unsexy work instead:

• Look at historical on/off data
• Account for lineup context and game flow
• Separate real usage from noise
• Show directional opportunity shifts, not hype

This isn't a projections site.
It's a clarity site.

Related Projects

In addition to UsageBoost, I also run BotWars-C, a crypto trading bot competition game where players train, tune, and compete algorithmic trading bots against each other.

While the domain is different, the mindset is the same:

• Systems over speculation
• Data over vibes
• Let behavior emerge from constraints

What UsageBoost Is (and Isn't)