RigFit
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How RigFit Works

RigFit starts with a simple idea: if your vehicle is taller, lifted, towing, or less forgiving than a standard car, finding parking should not feel like a gamble.

Most parking apps stop at “there is parking here”. RigFit tries to answer the more useful question, whether you are actually likely to fit.

It brings together parking locations, height evidence, parking-type clues, and real-world feedback, then turns that into a clearer signal you can use on the road.

It starts with parking inventory

RigFit begins with a growing parking dataset. Some locations come from structured sources, some are refined through review, and some are added by users who notice useful places missing from the map.

That means RigFit is designed to improve over time rather than stay a static list.

Then it looks at fit, not just existence

When you search, RigFit is not only asking whether parking is nearby. It is trying to surface which nearby options are most likely to suit your vehicle.

Known height restrictions matter most. Open-air parking often gives a stronger fit signal. Covered parking without strong evidence is treated more cautiously.

Why the labels matter

The labels help you scan quickly without hiding the nuance.

  • Best match usually means RigFit has stronger evidence behind the result, often including an explicit clearance figure.
  • Likely fit usually means the location looks promising, often because it is open-air or there is no conflicting evidence against it.
  • Needs checking means there may be a useful option there, but the confidence is not strong enough to trust blindly.
  • Not suitable means the known restriction is below the height you searched for.

RigFit is trying to be useful without pretending the data is more certain than it really is.

Why clustered results exist

Busy areas can have many nearby options packed into one pocket. Showing them all at once makes the map harder to use, so RigFit groups nearby options and shows a representative result first.

If you want the detail, you can expand the cluster and compare the individual options.

Feedback helps RigFit improve

If something helped, that matters. If something was wrong, that matters even more.

Feedback and submissions do not blindly overwrite trusted data, but they do feed the review process so the product can keep improving over time.

Built to be practical

The goal is simple: make the next parking decision easier. Can I fit? Is this worth trying? Do I need to be cautious here?

That is the level RigFit is aiming for, clear, honest, and useful for vehicles that cannot afford to guess wrong.