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ListofDisks turns messy retail listings into a clean, comparable market view. We ingest multiple retailers, map listings into canonical SKUs, trust-score sellers and condition, and maintain append-only price history so “good deals” are measurable, not vibes.
Accuracy first. Comparability always. History you can trust.
We don’t compare “random listing titles.” We map listings into a canonical SKU catalog, with guardrails to avoid wrong-product or wrong-capacity matches.
Marketplace offers are not treated as equal to retailer-direct. Condition, seller signals, and confidence determine what shows up and how it ranks.
We store append-only offer snapshots and compute rolling medians so outliers stand out and price moves can be quantified over time.
Signals that matter when selecting a hard drive for any build.
We track item price, in-stock state, seller type, condition, and confidence signals per listing, then join that to canonical product specs (capacity, warranty, and fields like RPM or recording tech when available). Deals only “count” when we can compute a trustworthy $/TB against a canonical capacity.
We intentionally preserve “weird” real-world capacities (enterprise sizes, binary-ish sizes). The UI buckets them for usability, but the database keeps the truth.
> TRACKING_METRICS [+] PRICE_PER_TB ......... ACTIVE [+] WARRANTY_CHECK ....... VERIFIED [+] SPEC_VERIFICATION .... RUNNING [+] LISTING_COVERAGE ..... ACTIVE [+] HISTORY_MEDIAN_90D ... STABLE
Retail data is messy. Comparability takes real engineering.
Capacity is parsed from multiple sources (not title-only) and tagged with confidence so low-signal listings don’t poison $/TB.
Real listings hide model IDs, reuse URLs, or mix variants. Mapping is guardrailed and audited to prevent conflating capacities or families.
Buy boxes shift. Third-party sellers vary. We score trust using seller type, rating when available, condition, and catalog confidence.
Append-only snapshots + rolling medians let you spot outliers without rewriting the past to match today’s assumptions.
Start with a goal, then dive deeper into the details.
Live deal feed with pricing and rapid comparison.
How we collect, map, trust-score, and normalize listings.
Catalog of drives with capacity, warranty, tech, and median pricing.
Price history and volatility, ideal for timing bigger purchases.
Flag wrong capacity, suspicious sellers, or data anomalies.