How spreadsheets work, how to read quality ratings, and how to use them to find the best batch sources for your haul.
See Current Listings ↗A Superbuy spreadsheet is a curated community resource that aggregates verified product links, quality ratings, and seller recommendations for items available through Superbuy. The concept originated in the rep community as a way to reduce the research burden for individual buyers — instead of testing dozens of sellers independently, the community maintains shared quality data.
The typical spreadsheet contains product links in Weidian, Taobao, or 1688 format, quality tier ratings usually on a 1–10 scale, price ranges, batch recommendations, and notes on specific QC considerations for each item. The best spreadsheets are maintained by community members with direct purchase experience.
For first-time buyers, the primary value is risk reduction. A batch recommendation in a well-maintained spreadsheet represents dozens of individual community members' experience. Following spreadsheet recommendations consistently produces better results than random seller selection.
This site functions as a research hub rather than a traditional link spreadsheet. We provide quality context, buying guidance, and tool resources that complement community spreadsheets rather than duplicating them. The fee calculator, agent comparison, and QC checklist are tools you use alongside a spreadsheet, not instead of one.
The best approach for new buyers: use a community spreadsheet for specific product links, use this site for agent research, fee calculation, and QC guidance. The two types of resource serve different purposes and work best together. Together they give you product sourcing plus the operational knowledge to execute your haul efficiently.
| Tier | Description | Price Range | Best For |
|---|---|---|---|
| B0 / Budget | Entry quality, basic accuracy | ¥80–180 | |
| B1 / Standard | Good quality, solid accuracy | ¥180–320 | |
| B2 / Mid | High quality, close accuracy | ¥320–480 | |
| B3 / Premium | Best available quality | ¥480+ |
The fundamental problem with buying reps without a spreadsheet is information asymmetry. The seller knows exactly what their product looks like. The buyer does not — until the QC photos arrive, at which point the item is already purchased and the leverage to reject is limited. A spreadsheet bridges this gap by giving buyers upfront quality data based on other people who have already received and inspected the same batch.
Community-maintained spreadsheets are self-reinforcing. When a batch underdelivers, buyers report back. The spreadsheet gets updated. Future buyers avoid that batch. Sellers who consistently produce good work see their batch links survive and grow in citation count. This feedback loop continuously improves the data quality of well-maintained spreadsheets over time.
The best use of a spreadsheet is not as the only research resource, but as a starting point. Find the batch recommendation, then search for in-hand photos of that specific batch in the community. In-hand photos from actual buyers are the best quality verification available — far more reliable than seller-provided photos or even QC photos, which show the item before wear rather than after.
The spreadsheet research process also forces a useful discipline: you define what you want before you search, rather than browsing and impulsively purchasing. Buyers who use spreadsheets systematically tend to have higher haul satisfaction rates because they are buying specific, researched items rather than whatever looks good in a seller's listing photos.
For this site specifically: we do not maintain a traditional link spreadsheet. Our focus is on the surrounding research infrastructure — agent comparison, fee calculation, QC guidance, and sourcing context. Community spreadsheets handle the product-link function well. Our tools handle the operational decision-making function. Together they cover the full research journey from choosing an agent to inspecting the final QC photos.
| Model | Search Volume | Batch Availability | Price Range |
|---|---|---|---|
| Nike Dunk Low | Very High | Excellent | ¥200–420 |
| Nike Air Force 1 | Very High | Excellent | ¥180–320 |
| Jordan 1 High | High | Excellent | ¥250–480 |
| Yeezy 350 V2 | High | Good | ¥220–420 |
| New Balance 550 | Medium | Good | ¥180–320 |
| Adidas Samba | Medium | Good | ¥160–280 |
One of the most common errors new buyers make is treating spreadsheet ratings as fixed facts rather than community estimates. A spreadsheet rating reflects the experience of buyers at a specific point in time. Seller batches change, and a batch rated 8/10 six months ago may have been updated, improved, or declined since then. Always check the last-update date on any spreadsheet entry you rely on.
Another frequent mistake is ignoring size-specific QC notes. Many spreadsheets include size-specific quality warnings — a batch that runs true to size in US 9 may run half a size large in US 12. Check for size notes before finalising your order, especially for popular silhouettes where sizing accuracy varies by production run.
Finally, avoid relying solely on price as a quality proxy. Some of the highest-rated spreadsheet batches are not the most expensive options. Community consensus matters more than price tier. Cheaper batches often exist because the seller is newer and building reputation, not because quality is lower.
Not all community spreadsheets are maintained with equal rigor. The best indicator of spreadsheet quality is update frequency — spreadsheets with recent update timestamps are more reliable than stale documents that have not been touched in months. The second quality indicator is community discussion around the spreadsheet itself: active communities generate questions, corrections, and updates that improve data quality over time. Spreadsheets with no community engagement are more likely to contain outdated information.