Our Story

Ask anyone with a standing tee time what they love about golf, and they will not mention golf.

They will tell you about the guys. The Saturday that has been on the calendar for eleven years. The four hours where nobody's phone comes out and everybody says more than they would anywhere else. The golf is just the excuse that gets everyone there.

What keeps a thing like that alive is not enthusiasm. It is that the decision already got made, and nobody relitigates a Saturday that has been on the books since March.

Skiers figured this out a long time ago. They buy a season pass in September, not because it is cheaper, but because it settles the question. Every sport people love has some version of it. Golf never did.

You can book tomorrow's tee time in nine different apps. But there is still no good way to tell a course you love: I'm playing here ten times this year. Let's make a deal. So courses guess at their season, golfers pay retail, and everyone loses a little.

We are building the thing that should already exist: a way to commit to a season at the courses you play, with the people you play with, and pay less for doing it.

Meet Our Team

Anurag Bansal

Anurag Bansal

Founder & CEO

Founder and operator with 20+ years of experience across strategy, technology, and large-scale systems. Led global initiatives spanning product strategy, data platforms, and AI-driven transformation within Fortune 500 environments. Combines deep execution discipline with firsthand understanding of golfer coordination pain points, informing a product-led approach to solving utilization and reliability challenges for golf courses.

Anil Pundhir

Anil Pundhir

Founder & CTO

AI and machine learning leader with a track record of building and scaling real-time, high-availability platforms for Fortune 500 companies. Deep expertise in distributed systems, data integration, and applied AI ensures 72 Par's coordination engine is reliable, performant, and defensible. Brings strong technical rigor to translating behavioral signals into scalable, production-grade systems.