Freecell Solver is unlikely to help in curing cancer, or solve world hunger, but it still has some uses. One use is determining whether an initial layout of a game, or a layout in mid-play is solvable or not so a human player can know whether he needs to return to an earlier position. The default configuration of Freecell solver may still report a small number of solvable positions as unsolved, but that can be mitigated by passing some command-line flags.

Another use of a Solitaire solver is to find solutions for difficult deals, or attempt to find shorter solutions. It can also be used to provide hints by giving the first leading moves, when a (human) player gets stuck.

Yet another use is to collect statistics from a large number of random deals (say, the Microsoft Windows Freecell deals or PySolFC’s deals), which is part of what Freecell researchers do.

Freecell 3D, a Freecell implementation for Windows, has also introduced a “Race against the computer” mode of Freecell, which is an interesting challenge.

Finally, we have more recently started to investigate some “human/computer collaboration”-based Freecell solving, where a human aided by a Solitaire suite with a good solver integration can attempt to solve some difficult deals (for both a human and a computerised solver), by pruning dead ends, and by finding whether reached states are solvable. This provides a combined solving technique, that is greater than the sum of both parts.