Jack Polish

Jack Polish is a fully offline combination-building workspace designed for exploring complex choices using your own items and rules. Build an item pool, organize it into categories, define constraints, and generate every valid combination directly on your device. Create detailed item libraries with categories and optional weights. Use weights to influence which items matter more when evaluating or generating results. Then shape your combinations with a flexible rule system supporting required and excluded items, incompatible pairs, category minimums and maximums, exact counts, weight limits, any-of groups, and mutually exclusive groups. Before generation begins, Jack Polish checks your rules for contradictions and flags setups that cannot produce valid results. This helps you correct problems early instead of waiting for an empty result. The generation engine uses pruning and workload estimation to handle constrained searches efficiently. For large exploration jobs, the app provides warnings before processing so you can understand the expected workload while keeping the workspace responsive. Review successful combinations as clear tile-based result clusters with important scores and weights visible at a glance. Compare multiple results side by side, save combinations you want to revisit, or generate random valid sets when you prefer the engine to make the selection. Jackpota Polish also keeps your previous explorations and reusable rule sets locally. Review simple insights about your activity, including exploration counts, saved favorites, rule types, and frequently used categories. Use it for team lineup planning, event and seating arrangements, product bundle design, inventory-based selections, design variations, study exercises, or combinatorics problems where discovering every valid answer matters. Everything is stored in an on-device database. No account is required, no cloud connection is needed, and your items, rules, and results remain on your device. Jackpota Polish also requires no permissions to perform its core functions. Explore constraints. Build combinations. Find what fits.