Own LinkedIn Voice Note Personalizer.

What you'd own.

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

• ●Landing page with before/after response rate demo footage
• ●Customer outreach playbook with LinkedIn DM templates
• ●Voice synthesis engine integrated with LinkedIn's web interface
• ●Financial model projecting $96k year 1 ARR baseline
• ●Brand identity and founder positioning as LinkedIn voice automation expert
• ●List of 200+ warm SDR and recruiting agency outreach targets
• ●Operational playbook for customer onboarding and support

What Roll Digital builds for you.

Custom scope to take LinkedIn Voice Note Personalizer from MVP shell to operating business.

• ▸Production backend on FastAPI with Postgres and job queue system
• ▸LinkedIn API integration for secure voice note injection and delivery
• ▸Stripe billing with three pricing tiers and usage tracking
• ▸Multi-tenant authentication with email and Google OAuth sign-in
• ▸Custom domain provisioning with automatic SSL certificate renewal
• ▸Admin dashboard for monitoring voice synthesis quality and user metrics
• ▸30-day customer success onboarding and technical support program
• ▸Rate limiter and safety checks to prevent LinkedIn account flags

Why this could work.

The 50k-person TAM of high-volume SDRs and recruiters actively seeking competitive advantage is precisely targeted by the existing DM-based GTM. Early traction data shows 3-4 monthly closes at $40/mo, indicating real buyer willingness to pay. Voice notes remain underutilized on LinkedIn, creating blue ocean for early movers. Existing outreach playbook and warm prospect list eliminate cold-start friction and provide immediate revenue visibility.

What you'd risk.

LinkedIn actively kills third-party voice injection tools. A single policy update or account flag wave could overnight eliminate product viability with no recourse. AI-synthesized voices still trigger uncanny valley reactions, potentially damaging sender credibility. The addressable market of people who use voice notes, need automation, and pay for it is smaller than TAM suggests. Year 1 expects negative take-home of $13k despite mid-range $96k ARR projection. Early churn will be high.

Who this fits.

Ideal operator is an experienced SaaS founder or agency owner familiar with LinkedIn's creator ecosystem and recruiting/sales automation. Must have technical chops to manage API integrations and backend infrastructure or access to a technical co-founder. Success requires hustle in outbound sales to validate GTM assumptions quickly. Comfort with regulatory and platform risk is essential.

Timeline.

From contract signing to operating business.

1. Day 1
   Customer receives source code, API keys, and setup documentation
2. Week 1
   Backend deployed to production with Stripe integration active
3. Week 3
   Customer completes first 50 API integrations with LinkedIn accounts
4. Week 6
   Customer records initial conversion metrics and GTM outreach data
5. Day 90
   Customer evaluates churn rate and determines pivot or scaling path

Pricing.

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