ListofDisks tracks offers across Amazon, B&H, Best Buy, Newegg, Office Depot, ServerPartDeals, and Walmart, then normalizes listings into canonical products so the same drive can be compared side-by-side.
Current approach:
Normalization: Retailer-specific parsers + canonical mapping to group listings by actual model Trust Scoring: Filters out low-rated marketplace sellers and mystery listings Context: 90-day median $/TB and historical-low tracking to spot fake sales
Stack: Next.js frontend TypeScript/Node ingestion worker Postgres (Supabase) for DB
CMR/SMR and warranty are included when available but coverage is still partial.
This is a zero-revenue project right now. I just want to make the data accurate and get feedback. I am also considering expanding to memory shortly given the pricing issues with those components currently. Thanks for checking it out!
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