StoreTwin

See your Shopify store through your customers' eyes

11 followers

See your Shopify store through your customers' eyes

11 followers

StoreTwin turns any Shopify storefront into a living visual map. Watch customer journeys unfold, let GPT-6 Astra investigate friction, and preview a better path before changing production.

Free

Launch tags:User Experience•Artificial Intelligence•E-Commerce

Launch Team / Built With

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OpenAI

GPT-6 Astra Challenge

What real task does your product handle with GPT-6 Astra?

Maker

StoreTwin uses GPT-6 Astra to investigate a real Shopify storefront as a connected system. After StoreTwin maps the store’s public pages, navigation, collections, products, editorial content, and internal links, Astra receives a structured representation of that storefront and chooses a realistic customer journey to investigate. It identifies one meaningful point of friction, ties the finding to observable evidence from real pages, and proposes a structural change such as a clearer navigation path or stronger connection between content and commerce. StoreTwin then simulates that proposed state and visually replays the customer journey before and after — without modifying the live Shopify store. Astra is used for the part that requires judgment: understanding the business, choosing the relevant journey, connecting evidence across pages, and deciding which single opportunity is most worth investigating.

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2mo ago

Maker

📌

Hey Product Hunt — I’m Samuel, founder of Shugert. After years of working on Shopify stores, I kept running into the same problem: we have crawlers, analytics, heatmaps, SEO tools, and spreadsheets — but it’s still surprisingly hard to simply see a storefront as a system. So for the GPT-6 Astra Challenge, I built StoreTwin. Paste a public Shopify URL and StoreTwin turns the storefront into an interactive visual twin: pages become places, links become paths, and shopping journeys become something you can actually watch. Then Astra investigates one journey, identifies a meaningful point of friction using real storefront evidence, and proposes a structural change. StoreTwin can simulate that proposed state and replay the journey before anything is changed in production. The MVP focuses on three things: • Map — turn a Shopify storefront into a living visual system • Investigate — let Astra find one evidence-backed opportunity • Replay — preview the proposed path before touching production StoreTwin is free during early access. I’d especially love feedback on the visual approach: does seeing a storefront this way help you understand problems that would otherwise stay buried in reports or crawls? Built with GPT-6 Astra, OpenAI, Next.js, React Flow, and Railway. Thanks for checking it out.

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2mo ago

Reviews

OpenAI

GPT-6 Astra Challenge

What real task does your product handle with GPT-6 Astra?

Maker

Report

2mo ago

Maker

📌

Report

2mo ago