Own SemanticSQL.

What you'd own.

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

• ●Brand identity and SEO positioning in database query space
• ●ProductHunt launch strategy and community engagement plan
• ●Landing page and inbound lead capture mechanics
• ●Year 1 financial model and unit economics blueprint
• ●Inbound marketing playbook and customer acquisition strategy
• ●Free trial conversion flow: 1 DB, 50 queries
• ●Customer success playbook for $149/mo team tier

What Roll Digital builds for you.

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

• ▸Multi-dialect SQL generation supporting Postgres, MySQL, BigQuery, Snowflake
• ▸Query validator with read-only execution guardrails to prevent data loss
• ▸Production backend with multi-tenant isolation and database connection pooling
• ▸Team authentication with email, Google sign-in, and workspace management
• ▸Stripe billing integration for free trial and $149/mo conversion
• ▸Saved queries, schema memory, and team collaboration features
• ▸Customer dashboard with query history, audit logs, usage tracking

Why this could work.

The GTM leverages proven SEO inbound with low CAC. TAM is defined: 50k SMBs spending $560 annually on query tooling. Team upgrade at $149/mo targets existing tool buyers. Non-technical operators at small startups face real friction managing analytics without SQL skills. Differentiation rests on workspace features (saved queries, team sharing, schema memory) that free AI chat cannot match. Success hinges entirely on execution against entrenched free alternatives.

What you'd risk.

ChatGPT and Claude already solve NL2SQL for zero cost inside existing chat flows, making paid conversion exceptionally hard. Regulated verticals (healthcare, legal, finance) have deep schema exposure anxiety that blocks deals in discovery. One incorrect UPDATE query or misleading aggregate that a non-technical user trusts destroys credibility instantly and carries legal risk. Supporting Postgres, MySQL, BigQuery, and Snowflake multiplies engineering debt and maintenance burden.

Who this fits.

This fits a technical SaaS founder with existing relationships at small startups, particularly in ops, finance, or supply chain. You need comfort with database internals and SQL complexity. Bonus if you already sell to ops/finance teams or have a warm network in those roles. Generalist entrepreneurs without database knowledge or established startup networks will struggle converting leads into paying customers.

Timeline.

From contract signing to operating business.

1. Day 1
   Codebase, customer list, ProductHunt strategy assets transition
2. Week 1
   Audit MVP infrastructure, prioritize path to production
3. Week 3
   Deploy query validation, read-only guardrails, multi-tenant auth
4. Week 6
   Stripe billing integration live, $149/mo team tier operational
5. Day 90
   ProductHunt launch, first paying cohort acquired, ARR tracked

Pricing.

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