Spar – Built a tool to help improve store conversion rates

Hacker News

Last year my co-founder and I were talking about ecommerce store owners hitting small conversion issues that could easily be fixed—but nobody had the time or expertise to actually identify what was broken and validate fixes. So we built Spar to handle that loop automatically. It analyzes any ecommerce store (Shopify, WooCommerce, BigCommerce, headless, doesn't matter) by crawling it like a customer would. It finds conversion gaps you don't know about, prioritized by impact, and gives you specific A/B test hypotheses for each issue instead of just generic best practices. It works with any publicly accessible store and gives you results in minutes. It identifies issues across your pages (we're getting cart and checkout completed soon). The idea generation is tailored per store. Free to sign up. Let me know if you want access to more of the gaps.

Visit product View on Hacker NewsJan 28, 2026

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50%50% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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40%40% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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