Sprout.store – a top shelf, battle-tested Next/Sanity/Shopify starter

Hacker News

Hey HN, My name is Ian; I run Gardener.nyc. We're a small technology studio with a focus on transparency and work/life sustainability. I publish perennial reports outlining the growth of the business: https://www.perennial.report/ # Sprout: I've been building marketing/ecomm websites for over a decade now, and have kept a starter that saves me hundreds of hours in the process. This starter has made me 2.2M in client revenue over the past 5 years running Gardener. ---- # FAQs: ## Why are you building this? People often ask me how I build websites, and I've never known how to encapculate all the knowledge into one place. This is a first attempt. I built this for myself over the last 5 years of running Gardener. This exists as the current way all Gardener websites are made. As I change/improve the way I build websites, sprout will always be updated to follow suit. Just pay once. ## What can I build with this? This is primarily focused on ecomm, but you can build anything: marketing websites, Shopify sites, editorial platforms, apps(!), in-store pickup, hotel booking apps, portfolio websites, blogs, etc. ## Who uses sprout? Kid Cudi, Cards Against Humanity, Kernel (by Chipotle), D.S. & Durga, Beni Rugs, ... ## Can I sell this? The license allows lifetime use/incorporation in all client and personal projects. You cannot resell this boilerplate as-is. ## When is it live? It's already built! I just have to finish documentation around set up and we're good to go. Sign up for beta access and you'll know ASAP. ## What does it currently do? Next 14 app directory, page transitions, Framer motion, Sanity, Tailwind integration, Klaviyo newsletter signup, Shopify storefront carts, multicurrency, modular page builder (Sanity presentation mode), collections and product pages, A/B testing products landings, vercel and netlify deployment, resusable components, ISR revalidation, cookie and promo banners, Next cache invalidation, server components, rich text with custom table blocks, images, Mux video, TS support, responsive lazy images, zustand integration, draft preview, sitemap builder, opengraph editor in CMS, 301/302 redirects inside CMS, GA4, FB tracking, fully baked sanity schema, ... so many more I'm forgetting! ## What is on the roadmap? Essentially all of the things I've built for various clients: Headless and theme versions of account pages, headless Yotpo integration, multicurrency, multilanguage, headless ReCharge, etc.

Visit product View on Hacker NewsNov 26, 2024

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

95%95% 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: apps, new, open · Missing: mac, agents, macos

82%82% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: exist, ide, io · Missing: https docs, excited, just released

52%52% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: personal, apps, video · Missing: mobile apps, ios, entrepreneurs

41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform, builder · Missing: plus, intuitive, reviews

32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

29%29% 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.

Incorrect prediction on native model

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