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Dev tools · June 4, 2024

Allocate poker chips optimally with mixed-integer nonlinear programming

Every time I play a casual cash poker game with friends, we spend the first several minutes struggling to figure out chip denominations. I built this to automate that process. Try it out here (the submitted link goes to the GitHub repo): https://jstrieb.github.io/poker-chipper/ It turns out that picking chip denominations optimally—such that as many chips are distributed as possible, and such that the denominations are nice—is hard (in the computational complexity sense). Upon reflection, the problem seemed to be a perfect fit for constrained optimization. I first got a…

Allocate poker chips optimally with mixed-integer nonlinear programming launched on June 4, 2024 with 213 votes, #208 of 4,672 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 2 years on.

Visit github.com ↗Alternativestop 4% of June 2024

In plain words

This tool automates the process of determining optimal poker chip denominations for casual games. It uses mixed-integer nonlinear programming to calculate denominations that maximize the number of chips distributed while keeping values practical and easy to use. The application runs in the browser by cross-compiling a solver to WebAssembly, eliminating time spent debating chip setups before gameplay begins. It is designed for players organizing informal poker games with friends.

written from the facts on this page · September 2026

From the sources

Optimally allocate poker chips using constrained, nonlinear optimization - jstrieb/poker-chipper

In the maker’s words, at launch

Every time I play a casual cash poker game with friends, we spend the first several minutes struggling to figure out chip denominations. I built this to automate that process. Try it out here (the submitted link goes to the GitHub repo): https://jstrieb.github.io/poker-chipper/ It turns out that…

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