Examples/Sneakers
Your sneaker rotation
deserves more than a shoebox.
Pairs, sizes, colorways, condition, box status, market value — kept where they belong. No more guessing what's still deadstock or what you paid five years ago.
Air Jordan 1 Retro High OG · Chicago
One record. Box status, condition, paid, market — kept with the shoe.
PLATE 01 — DEADSTOCKAir Jordan 1 Retro High OG · Chicago
Snap · Drop · Or scan SKU
Frame reads box labels and tongue tags — SKU, silhouette, colorway, size, year. Edit any field before saving; worn pairs work too (photograph the tongue tag).
02 — Quick add
Snap the box label. Frame fills the rest.
Photograph a box label and Frame reads the SKU — silhouette, colorway, size, style number, release year. Confirm in two seconds; correct anything that's off. Worn pairs work too: shoot the tongue tag.
- Reads box labels and tongue tags — SKU, size, colorway, year
- Pulls release MSRP automatically; you add what you actually paid
03 — Ask Frame
Ask your rotation anything. In plain English.
Talk to your collection. Frame answers from your own data — paid, market, size, condition, box status — and can act on what it finds. Pull a sell-list of biggest gainers, surface what's still deadstock, or generate an insurance export without writing a single formula.
- Filter by anything in your columns — brand, size, condition, box status
- Turn answers into actions: sell-lists, StockX queues, insurance exports
04 — Sharing
Showcase-ready links — read-only, no account needed.
Send someone a link to your full rotation or a single shelf. They can browse, sort, and filter — but never edit. Hide prices for a clean grail wall, show them for a sale conversation, expire the link when you want.
- Per-link visibility: paid, market, size, storage location
- Revoke or expire any link instantly without affecting your data
Every pair. Every field. One view.
Built for how sneakers are actually tracked.
Sneakers are tracked differently than other collectibles because they're both worn and held. Frame captures size, colorway, paid, market value, condition, and box status — the exact data StockX listings show but for your own collection. Condition gradations (Deadstock, Excellent, Good) match the resale market's conventions, not arbitrary scales.
Outcomes, not features.
- 01
See total appreciation across the collection at a glance
- 02
Filter by condition to surface what's still deadstock vs what's worn
- 03
Sort by market value to identify your highest-appreciation pairs
- 04
Export CSV when filing taxes on resold pairs
- 05
Track which boxes you still have — box status materially affects resale value
Common questions.
Does Frame pull market values from StockX or GOAT?+
Not automatically — you enter market values manually, sourced from StockX, GOAT, or recent eBay sold listings. Automated price syncs for major silhouettes are on the roadmap. For now, manual entry gives you control over your own valuations (especially important for rare colorways or sizes that thinly trade).
How do I handle pairs I've worn vs deadstock?+
The Condition field uses standard resale conventions — Deadstock, Excellent, Very Good, Good, Worn. Filter or sort by it to see what's still pristine vs what's gotten regular wear.
Can I track grail wishlist alongside the collection?+
Yes — add a tag like 'wishlist' or 'grail' and a note with the target price. Some collectors keep a separate Frame view for wants vs holdings. Filter your wishlist when you're at a release or trade event.
What about pairs I'm selling or have sold?+
Add a tag like 'for-sale' or 'sold' and a Sold Date / Sold Price field via Notes. Many flippers track realized gains separately from current holdings — Frame lets you slice both ways with filters.
Can I export my collection for insurance?+
Yes. The PDF export with current market values is accepted by most insurers as the basis for a scheduled-items rider. For high-value rare pairs (Yeezys, vintage Jordans), this is what protects you against theft or fire.
Other collections worth tracking.
Start your sneakers record.
Free to start. Every field, photo, and document organized where it belongs.