SpecsMedia

AI-structured specs for electronics from stores worldwide

Artificial Intelligence

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Data & Analytics

OpenAI Day

Hi Product Hunt! 👋 I’m Simeon, founder of SpecsMedia, and this is our first-ever public launch. SpecsMedia started from a simple problem - Comparing electronics across stores is much harder than it looks: - Two listings can appear to be different products when they’re actually the same model. - Or they can look identical while hiding important configuration differences. - Sometimes manufacturers use different names for identical products, in different regions. That makes price comparison unreliable unless you first solve product identity. SpecsMedia uses AI to identify, normalize and structure messy product data from stores around the world. Titles, descriptions, partial spec lists and regional naming differences are transformed into consistent, detailed specification tables. The result is that you can understand exactly what a product is, match equivalent listings across stores and regions, and compare them with much more confidence. In many cases, SpecsMedia can present a richer structured view of a product than any single retailer listing provides. We’re currently applying this pipeline across roughly half a million consumer-electronics products. GPT-6 Astra became part of the project during our final push toward launch. We’ve been using it for coding, debugging, and improving the full data pipeline — from the systems that ingest messy retailer data to the logic that helps turn it into structured product information. SpecsMedia was never launched before, so this is the first time we’re putting it in front of a wider audience. I’d really value feedback on one thing in particular: when you compare products online, what information do you most often find missing, inconsistent, or difficult to trust?