Two decades of fantasy basketball. A newborn. A data career. And the stubborn conviction that there had to be a better way.
I've been playing fantasy basketball for over twenty years. Long enough to remember when doing your research meant reading one columnist and trusting your gut. Long enough to have won a few leagues and lost more than I'd like to admit.
Then my son was born. And the game changed completely — not the basketball, the time. The managers I was competing against were watching every game, scouring every site, absorbing every podcast. I was doing feeds at 3am and sneaking half-asleep glances at injury reports. My team suffered. My patience didn't.
By day I work as a consultant in data and technology. I spend my professional life helping organisations make better decisions using machine learning, analytics, and structured thinking. And somewhere between a 3am feed and a very bad waiver wire decision, I had an uncomfortable thought: everything I do at work applies directly to fantasy basketball, and nobody has built it properly yet.
So I built the platform I wished I had. One that pulls every information source I could think of into one place, assesses it instantly, and surfaces only the data points I actually need to make a decision — in the ten minutes I have available before the baby wakes up.
“What does a time-poor man do? Spend too much time building his dream project.”
— Jason, founder, sleep-deprived
Every recommendation comes with a reason attached. Not 'add this player' — 'add this player because these specific signals point in this direction.' You should always be able to defend your decision.
Built for people with jobs and families. Ten minutes in the morning should be enough to stay ahead of your league. The platform does the heavy lifting overnight so you don't have to.
A waiver recommendation that features a player who isn't available in your league is useless. Every insight is personalised to your specific roster, your format, your strategy, and your actual player pool.
This platform may not always be right. What it will always be is honest about when it isn't. We publish our accuracy publicly, track our misses, and explain what we're changing and why.
What I commit to every user, every season.
Jason
Founder · Data consultant · Fantasy basketball player 20+ years · New dad
I want to be upfront: charging for this makes me a little uncomfortable.
I didn't build The Front Office to get rich. I built it because I wanted it to exist, because it was a fascinating problem to solve, and because combining a twenty-year love of fantasy basketball with my professional background in data science felt like something worth doing properly. This is a passion project before it's a business.
But building something properly costs money. The machine learning infrastructure, data feeds, cloud hosting, NBA API access — it adds up.
The free tier is genuinely free and always will be. The paid tiers exist for people who want the full depth and want to support ongoing development. I've priced it at what I think is fair — roughly the cost of one takeaway coffee per month. If it helps, great. If it doesn't, cancel any time. No hard feelings.
Built on the Gold Coast, Australia · Mostly between midnight and 2am · Fuelled by cold coffee and competitive spite