ListofDisks is a price comparison tool, not a listing dump. We track drive listings across multiple retailers, match them to specific products, score sellers for reliability, and build price history so every deal has context.
The goal is accurate comparison, not just more listings.
Listings are matched to specific drive models so cross-retailer comparisons are actually the same product.
Retailer-direct and marketplace offers are not treated equally. Seller quality and condition influence ranking and visibility.
We store snapshots over time and compute 90-day rolling medians so one-off spikes do not define the trend.
Some links may earn us a commission. Rankings still come from the dataset (trust gating + $/TB + median context), not placements or paid inclusion. Details.
Single-store views miss context and can look more stable than they really are.
The visible price can change as different sellers win the buy box.
New, renewed, and used offers are often mixed together behind secondary flows.
Alternative products can be rendered in ways that are easy to misread.
Availability and pricing can differ by location and account context.
From discovery to normalized pricing in three steps.
We continuously find and re-check drive listings across covered retailers so pricing and availability stay current.
Each listing is analyzed for model and capacity signals and matched to a specific catalog product. Low-confidence matches are held back.
We compute $/TB, store the snapshot, and update rolling medians so outliers are visible against normal pricing.
Capacity accuracy is foundational for filters, charts, and $/TB.
We use structured data, product specs, and embedded page data where available.
Capacity parsing is confidence-scored so low-signal values do not pollute deals.
We guard against false matches like RAM specs and interface speed tokens.
Bundle and pack listings are normalized so pack math does not leak into unit pricing.
Enterprise capacities are kept as real values instead of being rounded away.
When data is corrected, we reprocess with an audit trail instead of rewriting history.
Signals used in ranking and filtering.
Item price plus computed $/TB against known product capacity.
Retailer-direct vs marketplace, with seller rating when available.
New, refurbished, recertified, and used are tracked and ranked explicitly.
How strongly the listing maps to the expected product model and capacity.
Warranty, RPM, recording tech, and form factor when the retailer provides them.
We optimize for comparability, not perfect retail checkout replication.
Retailer pages and buy boxes can change quickly after capture.
Some listings do not expose clean model identifiers or consistent naming.
Not all specs are consistently published across retailers or brands.
Retailer category structures change; discovery seeds are maintained over time.
Start with a goal, then dive deeper into the details.
See the latest drive deals from multiple retailers in one place.
Browse the full catalog with specs, current prices, and store links.
Browse each brand and jump straight to its drive lines and current deals.
Browse drive lines like IronWolf or Exos and compare the models under each one.
Keep a shortlist of drives you want to watch and compare later.
Describe what you need and get to the right shortlist faster.
See how drive prices have moved over time before you buy.
See what each store is listing and which deals stand out.
Compare exact sizes like 8TB, 12TB, or 18TB and see where the best value sits.