Sites that promise “ten spreadsheets” are usually counting the same table’s category tabs. Here is the honest list: what each tab is good for, how often it moves, and where the QC column goes quiet.
The only tab where the batch column is filled in on every row. Sneakers move fast; a stale row is obvious within a week.
WatchBatch names drift. A row updated in September may point at a seller page that now sells a different version.
Open the shoes tabBest value per dollar on the sheet — outerwear is where the price gap to retail is widest, and the photos are usually the seller’s own.
WatchWeights matter more here than anywhere. A puffer that lists 480 g is a light jacket with a heavy name.
Open the jackets & coats tabThe most reliable sizing on the sheet — the size chart is usually copied from the seller, not invented by the sheet owner.
WatchPrint position. Ask for the flat shot with a coin before you approve; a chest logo 5 mm off centre is the classic reject.
Open the hoodies & sweaters tabCheapest entry point on the sheet, and the fastest category to learn the workflow on — a bad tee costs $15, not $90.
WatchThe QC column is thinner here; some rows link to a seller gallery rather than a warehouse photo.
Open the t-shirts tabWaist and inseam are listed for most rows, which is more than the product pages themselves do.
WatchDenim runs a size small across the board. If you are between sizes, take the larger one and confirm with a measurement photo.
Open the pants & shorts tabThe category where the sheet beats every other discovery method — belts, caps, bags and jewellery are impossible to search for by image elsewhere.
WatchLow-price items make freight disproportionate. Consolidate before you ship or the postage costs more than the item.
Open the accessories tabSmall, light, cheap to ship — the best way to test a new agent without risking a large order.
WatchStructured caps deform in transit. Ask for the parcel to be packed with a filler if the cap is fitted.
Open the headwear tabThe catch-all tab. Odd finds surface here first: homeware, plush, small electronics.
WatchNo QC links on most rows. Treat it as a catalogue, not a verified list.
Open the other stuff tabSorted by update cadence, then by QC coverage. Row counts are the sheet’s own figures, sampled in October 2026.
| Tab | Rows | Updates | QC photo | Best for |
|---|---|---|---|---|
| Shoes | 1,700+ | Daily | Yes | Batch version hunting |
| Jackets & coats | 900+ | Weekly | Yes | Value per dollar |
| Hoodies & sweaters | 800+ | Weekly | Yes | Reliable sizing |
| T-shirts | 700+ | Weekly | Partial | Learning the workflow |
| Pants & shorts | 600+ | Weekly | Yes | Measured fits |
| Accessories | 900+ | Bi-weekly | Partial | Discovery |
| Headwear | 300+ | Monthly | Partial | Testing an agent cheaply |
| Other stuff | 400+ | Irregular | No | Odd finds |
It is the only tab where the batch column is consistently filled, and it is where the price difference between batches is largest. Learn to read it and the rest of the sheet becomes obvious.
A $15 tee teaches the full loop — row, link, QC, approve, ship — with a mistake budget that does not hurt.
No QC links, irregular updates, and the highest share of dead rows. Browse it for ideas, then find the item on a category tab.
FAQ
On the sheet we test, eight category tabs plus one combined view. In the wider ecosystem you will see sites claim “10 spreadsheets” or “20 spreadsheets” — these are almost always the same underlying table split by category, not twenty independent datasets.
T-shirts, then shoes. Tees are cheap and teach the workflow; shoes are where the batch column actually matters, so they teach the vocabulary. Everything else is a variation on those two.
Treat them as scale indicators, not audits. A “1,700+ rows” tab on a live sheet changes weekly, and some rows are dead links that nobody has cleaned out. The numbers above come from the sheet’s own category pages, sampled in October 2026.
No. Shoes, jackets, hoodies and pants carry QC links on most rows; tees, accessories and headwear are partial; the catch-all tab mostly does not. That is a property of the sheet, not of LitBuy — the agent photographs whatever arrives.
Not always. A 1,700-row shoe tab with 300 dead links is worse than a 600-row tab that is checked weekly. What matters is the gap between the “last checked” date and today, and whether the batch column is filled.