Own Speko.

What you'd own.

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

• ●Speko brand, domain, and established SEO in voice AI search
• ●Live benchmark comparison interface with 50+ provider database
• ●Automated model evaluation pipeline and proprietary scoring algorithm
• ●HackerNews and LinkedIn outreach playbook with proven templates
• ●Three-year financial model and unit economics research
• ●Early customer relationships and pre-signed beta agreements
• ●Competitive research on OpenAI, Deepgram, ElevenLabs comparison strategies

What Roll Digital builds for you.

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

• ▸Production FastAPI backend with PostgreSQL versioned benchmark data storage
• ▸Stripe billing integration across free, pro, and enterprise tiers
• ▸Multi-user authentication with email, Google, and GitHub sign-in
• ▸Automated daily model update detection with email alerts
• ▸REST API enabling programmatic model comparison and filtering
• ▸Analytics dashboard tracking developer decision workflows and conversions
• ▸API documentation site with integration examples and SDKs
• ▸Zendesk support ticketing system and SLA response framework

Why this could work.

The GTM is validated: inbound from engaged dev communities plus targeted outreach to buyers. Benchmark freshness matters for architecture decisions, and free reports create a paid conversion funnel. With $3.5k average annual spend across 6k voice AI companies, real TAM exists. Free-to-paid motion is proven in SaaS. If you nail the update cycle and developer trust, the $72k-$260k Year 1 ARR range is achievable.

What you'd risk.

Benchmark staleness is existential: model updates happen weekly, so 30-day-old data triggers churn from sophisticated buyers immediately. Free comparison pages from OpenAI, Deepgram, ElevenLabs undercut directly with zero switching cost. Developers treat model selection as one-time architecture decision, not recurring subscription, capping paid conversion under 2%. Buyers perceive this as intern research work, making $200/month pricing structurally difficult without deep workflow integration.

Who this fits.

An AI engineer or indie SaaS founder with existing developer credibility and audience. You need technical depth to maintain benchmark freshness and credibility to convert engineering teams. Pure business operators will struggle: buyers are technical and skeptical of non-technical pitches. Best fit is an ex-AI tools founder or ML engineer bootstrapping in this space who already has a community.

Timeline.

From contract signing to operating business.

1. Day 1
   Codebase access, customer introductions, production architecture review
2. Week 1
   Production deployment, monitoring alerts, customer success handoff
3. Week 3
   Automated daily model update detection system deployed
4. Week 6
   Stripe billing live, first three paying customers
5. Day 90
   Refresh cycle stable, ten paying customers, five thousand free users

Pricing.

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