LawnscapeGuru

Lawn advice for this lawn, this week

Good lawn care depends on specifics: your grass type, your soil, your climate zone, and what the weather is doing right now. Most advice online is written for everyone, which means it lands on the wrong week for almost everybody.

LawnscapeGuru asks about the property, resolves the location to a hardiness zone, pulls current and forecast weather, and produces guidance for that lawn on that week.

Weather is what makes the advice specific

“Fertilize in early spring” is a search result. “Hold off on fertilizing — heavy rain arrives in three days and it’ll wash straight off” requires knowing where someone is and what’s about to happen there.

That’s the design: the model reasons over real environmental inputs rather than restating general knowledge. A ZIP-to-hardiness-zone lookup supplies the climate context, and a weekly digest re-evaluates conditions and sends updated guidance — which turns a one-time recommendation into an ongoing service, and is the part that earns a subscription.

Built to run as a business

• Model flexibility — Grok as primary with an optional OpenAI fallback, behind an interface so the model choice stays swappable
• Subscription gating — a free generation allowance before full access, enforced server-side
• Data layer — Postgres via Prisma covering subscriptions, recommendations, saved locations, payments, newsletter subscribers and affiliate products
• API surface — 22 routes spanning recommendations, weather, Stripe webhooks, subscription management, newsletter and the scheduled digest
• Content and email — Contentful for editorial content, Resend for delivery
• Testing — Vitest coverage across the core paths

Where it stands

Live and functional, with the full commercial apparatus running: authentication, payments, metering and scheduled jobs.

It demonstrates taking a personalization idea through the entire stack — external data integration, LLM reasoning over structured inputs, subscription billing and scheduled background work — and getting it deployed.