AI slop has flooded the template market

Hacker News

I was sourcing e-commerce templates for a client and ran into two bad options: - expensive, locked-down ecosystems like Shopify - broken AI-generated junk So I built Estrocom, an e-commerce template with Astro, Tailwind, and TypeScript, designed to be WCAG AA accessible, SEO-friendly, and mobile-first. Live demo: https://estrocom.netlify.app Source code: https://github.com/VBproDev/estrocom Why it’s worth checking out: - Accessibility: 0 issues detected by Axe and Lighthouse, WCAG AA contrast maintained - Performance: Sub-1s load time with strong Lighthouse scores - Mobile-first: Works from 360px up to large screens - Atomic design: Atoms, molecules, and organisms for scalability - Full shopping flow: Cart + product categorization - SEO-ready: JSON-LD schema and sitemap support

Visit product View on Hacker NewsDec 28, 2025

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

89%89% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: code · Missing: mac, agents, macos

59%59% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Strong signals: friendly · Missing: plus, platform, intuitive

54%54% 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

44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

25%25% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Strong signals: shopify · Missing: arr, mrr, revenue

18%18% 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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