Own GrassDx.

What you'd own.

Every artifact below transfers to your accounts on day one. The whole engine.

• ●Landing page, SEO keyword strategy, and content marketing playbook
• ●Brand identity, logo, and visual design system
• ●AI diagnosis engine code and ML model weights
• ●Financial model and unit economics spreadsheet
• ●Founder persona and product roadmap documentation
• ●Customer acquisition strategy targeting homeowner and landscaper segments
• ●TikTok and Pinterest creative templates and social calendar

What Roll Digital builds for you.

Custom scope to take GrassDx from MVP shell to operating business.

• ▸Production API backend with photo upload, storage, and diagnosis queuing
• ▸ML inference pipeline with fungal, grub, and drought classification
• ▸Stripe subscription billing with free tier, monthly, and annual plans
• ▸User authentication system with email, Google sign-in, and dashboard
• ▸Email sequences for onboarding, diagnosis results, and upgrade prompts
• ▸Analytics dashboard showing diagnosis accuracy, churn rates, seasonal trends
• ▸Production deployment on AWS with monitoring, backups, and scaling

Why this could work.

Large addressable market of homeowners facing lawn disease and landscapers serving them. SEO targeting high-intent searches like 'why is my grass dying' reaches buyers ready to solve the problem. Free tier (3 diagnoses/month) has low friction for adoption and conversion to $6.99/month unlock. Spring seasonal peak (April-July) and social media push on TikTok/Pinterest align with buyer intent. Minimal competition in lawn-specific AI diagnosis; PictureThis lacks depth in fungal/grub identification.

What you'd risk.

Seasonal revenue crater: 60-70% of usage concentrates April-July, leaving 5-6 months of real revenue annually, not 12. Diagnosis accuracy is genuinely hard. Fungal disease, grub damage, and drought stress look similar on phone photos; wrong recommendations trigger 1-star reviews and chargebacks fast. Larger incumbents like PictureThis (50M+ users) or Google could ship free lawn-specific features overnight, eliminating the standalone value proposition. Year 1 carry-through takes you negative.

Who this fits.

Fits an existing agency owner looking to add a low-touch SaaS vertical, or a solo founder with marketing chops (SEO/social) and interest in ML products. Requires someone comfortable with seasonal revenue swings and the willingness to optimize for spring/summer peaks. Works best for an operator who can iterate on diagnosis accuracy based on customer feedback. Not for someone wanting immediate, year-round recurring revenue.

Timeline.

From contract signing to operating business.

1. Day 1
   Buyer receives codebase, financial model, landing page, SEO strategy
2. Week 1
   Stripe billing and email onboarding sequences deployed to staging
3. Week 3
   Production backend and ML inference pipeline deployed to AWS
4. Week 6
   User authentication, dashboard, and analytics features fully built and tested
5. Day 90
   Live to public; email outreach and TikTok push begins

Pricing.

Three ways in, depending on how much you want to build yourself.