Own LLM Provider Failover.

What you'd own.

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

• ●GitHub repository with open-source brand identity and community
• ●Production-ready codebase with multi-provider abstraction layer
• ●Landing page, pricing page, and onboarding flow
• ●Customer acquisition playbook targeting AI startups via GitHub and Hacker News
• ●Financial model projecting $55k Year 1 ARR midpoint
• ●Founder persona documenting cold outreach strategy to engineering leads
• ●Initial beta customer relationships and usage telemetry

What Roll Digital builds for you.

Custom scope to take LLM Provider Failover from MVP shell to operating business.

• ▸Production backend on FastAPI with Postgres, supporting 10k concurrent users
• ▸Provider abstraction layer with OpenAI, Anthropic, Cohere, Google routes
• ▸Intelligent failover logic with exponential backoff and health checks
• ▸Stripe billing engine for freemium tier and $99-$299 monthly plans
• ▸API authentication, rate limiting, and usage-based metering
• ▸Monitoring dashboard with per-provider failover stats and latency tracking
• ▸Email plus Google OAuth sign-up with automated onboarding email sequence
• ▸Customer email support framework and initial 30-day success playbook

Why this could work.

The GTM leverages proven developer channels: GitHub visibility and Hacker News traction attract founder-engineers who ship fast. Freemium to paid conversion via production scale works for dev tools. AI startups are real and growing, with hard dependency on LLM reliability. A subset actively prefer managed failover over self-hosting LiteLLM. With disciplined cold outreach to engineering leads at Series A-B teams, Year 1 ARR of $55k-$100k is achievable.

What you'd risk.

LiteLLM is free, open-source, and already solves this; most technical buyers will self-host rather than pay. OpenRouter dominates with existing user base, model marketplace, and provider abstraction. LLM provider uptime improved sharply in 2025, shrinking urgency. Enterprise buyers who could sustain $1k/month require SOC2, SSO, and VPC deployment: expensive to build, only viable at much higher ARR. Probability of meaningful success is 13 percent.

Who this fits.

An engineering-first founder or solo dev with credibility in AI or SaaS, comfortable with technical products and GitHub marketing. Ideally someone who has built APIs or witnessed LLM provider outages firsthand. Must tolerate high uncertainty and limited TAM, execute cold LinkedIn outreach, and ship quickly. A natural fit for ex-startup engineers who want agency ownership without brand-building overhead.

Timeline.

From contract signing to operating business.

1. Day 1
   Code and IP transfer, marketing assets, customer relationships handed over
2. Week 1
   Production backend running, beta cohort of five test customers onboarded
3. Week 3
   Stripe billing live across all pricing tiers, initial revenue tracked
4. Week 6
   Monitoring dashboard launched, public marketing push via GitHub and HN
5. Day 90
   Target 50-100 production customers, MRR trajectory toward $5-10k

Pricing.

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