Own Memory.

What you'd own.

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

• ●Founding GTM playbook: TikTok/YouTube short-form demo strategy
• ●Landing page design and messaging framework
• ●Agent design specification and prompt engineering docs
• ●Financial model and unit economics workings
• ●Customer acquisition templates and outreach sequences
• ●Brand identity and visual direction guidelines
• ●User retention research and churn analysis data

What Roll Digital builds for you.

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

• ▸Production FastAPI backend with Postgres database and vector embeddings
• ▸Stripe billing system supporting three-tier monthly subscription model
• ▸Email and Google OAuth user authentication and session management
• ▸Custom domain provisioning with automatic SSL certificate setup
• ▸Memory context embedding and vector database storage layer
• ▸Customer dashboard showing memory snapshots and conversation history
• ▸Analytics tracking daily/monthly active users and cohort retention
• ▸Initial 30-day customer success and onboarding support program

Why this could work.

The TAM is real: 2M knowledge workers paying $120/year for personalized AI. The GTM motion leverages native TikTok/YouTube virality where AI companions already succeed. Early adopters don't need enterprise features, just proof the AI remembers them. The paywall timing after memory accumulates can convert users before churn peaks. A focused team moving fast could ship and iterate before the big models fully commoditize memory.

What you'd risk.

OpenAI, Anthropic, and Google are embedding native memory into their free or bundled offerings every month. Users typically churn within weeks before personalization feels genuinely valuable. Consumer AI retention consistently drops below 20% DAU/MAU, making $15-20/month pricing unsustainable at any meaningful scale. The 17% success probability and negative year-one cash flow honestly reflect how narrow the competitive window is between initial MVP launch and permanent feature commoditization.

Who this fits.

This fits a solo SaaS founder or small team with existing distribution through audience or content channel. You need comfort shipping fast and iterating on retention ruthlessly. Ideally someone with prior experience building consumer AI products or existing credibility in productivity/learning. Not for agencies or hired teams without skin in the game.

Timeline.

From contract signing to operating business.

1. Day 1
   Handoff of codebase, financial models, GTM docs, and customer research
2. Week 1
   API backend and authentication system deployed to staging environment
3. Week 3
   Stripe billing and user dashboard functional; internal beta cohort testing
4. Week 6
   Production deployment and soft launch with early access user cohort
5. Day 90
   Public launch; first cohort retention and churn metrics analyzed

Pricing.

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