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Why you can trust what we tell you

We don't tell you what you own. We tell you what to do next — and here's why you can rely on it.

How recommendations work

We look at your photos to understand what you have — what kind of collection it is, roughly how much is there, and which items deserve a closer look.

Then we compare similar items against current marketplace activity: what things like yours have actually been selling for, and where.

Finally we turn that into your Best Move: what’s worth selling individually, what sells better bundled, and what’s fastest to simply let go.

Why you can trust these recommendations

We never invent value. Every dollar range you see comes from real marketplace activity — never from a guess.

When we don’t have reliable comparable sales, we say so in plain words instead of showing a number.

Every recommendation explains why — not just what to do, but the reasons behind it.

We separate facts (what we can see) from advice (what we’d do next), so you always know which is which.

Confidence levels, explained

High confidence — we could see enough to be quite sure. You can act on this.

Early read — a solid first pass, but a few things we couldn’t fully confirm. Worth one more look before big decisions.

Needs better photos — we’d rather ask for another photo than guess. We’ll tell you exactly what to photograph.

We never show percentage scores. A number like “73% confident” sounds precise and means very little.

When we recommend professional verification

If something looks unusually valuable, rare, or graded, we’ll tell you to get a professional opinion before you sell — even though that means you don’t need us for that step.

A second opinion on one valuable item is cheap. Selling it for a tenth of its worth is not.

How we protect your privacy

Your photos are used only to analyze your collection. We do not sell them, and we do not permanently store them in the current version.

No account is needed to get your results. You stay in control of your information.

Our commitment to honesty

We would rather say “we don’t know” than be confidently wrong.

When you see sample data anywhere in the app, it’s labeled as sample data.

Estimates are ranges, dated, and based on current market information — because honest uncertainty beats false precision.

Read the full Privacy Policy → · Terms