Own Session Lens.

What you'd own.

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

• ●GitHub open-source MCP logging SDK with initial traction
• ●Paid SaaS dashboard design and UI specifications
• ●GTM playbook: free-to-paid metrics and customer outreach template
• ●Customer financial model and Year 1 ARR projection
• ●Brand identity, positioning, and visual design assets
• ●Founder narrative and persona for positioning and communication
• ●Beta customer relationships and observability use case research

What Roll Digital builds for you.

Custom scope to take Session Lens from MVP shell to operating business.

• ▸FastAPI backend with multi-tenant architecture and Postgres data store
• ▸React dashboard UI for real-time MCP tool call visualization
• ▸Stripe billing integration across three monthly pricing tiers
• ▸Email and OAuth sign-in plus organization-based access control
• ▸MCP SDK instrumentation and data ingestion pipeline with validation
• ▸SOC2 compliance framework and data residency controls for enterprise
• ▸30-day post-launch customer success support and onboarding workflows

Why this could work.

MCP adoption is accelerating as enterprises build production agents. The free SDK can create network effects and credibility within AI developer communities. Existing vendors like Langfuse are slow to support MCP tool-call tracing. A focused $79-149/mo dashboard can capture 5-8% of free users if positioned correctly. Year 1 revenue of $72k mid-case suggests achievable early traction and path to profitability with disciplined CAC management.

What you'd risk.

Anthropic or existing players like Langfuse could ship native MCP observability, instant commoditization. Developers show strong preference for free logging and self-parsing. Conversion from free to paid is unproven and industry precedent suggests sub-2% rates. Enterprise deals stall without SOC2 compliance and data residency controls. The 13% success probability reflects these headwinds. Year 1 losses of $15k on $24k investment suggest capital runway pressure.

Who this fits.

Ideal operator is a technical founder or agency lead with direct access to AI developer communities: Y Combinator alum, speaker at LLM conferences, or head of dev relations at an AI platform. Must be comfortable with open-source support burden and willing to spend 6-12 months proving unit economics before Series A. Existing customer relationships in the AI tooling space accelerate traction.

Timeline.

From contract signing to operating business.

1. Day 1
   Founder handoff complete, codebase and customer assets transferred
2. Week 1
   Tech architecture review and Stripe integration roadmap finalized
3. Week 3
   API backend and dashboard frontend deployed to production
4. Week 6
   SOC2 audit initiated and enterprise pilot program launched
5. Day 90
   50 qualified prospects contacted, conversion rates and churn measured

Pricing.

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