Profitable AI Text-to-SQL SaaS — $45k ARR, 88% Margins, 238 Active Subs

This AI-powered SaaS converts plain English into SQL instantly, helping teams query databases without waiting on engineers. Users can generate, edit, save, and reuse queries across multiple SQL dialects through a clean, intuitive interface. Launched in 2021 and fully bootstrapped, the business generates consistent recurring revenue with minimal founder involvement. With 250–500 active customers and scalable infrastructure, it’s positioned for a new owner to unlock its next growth phase. Key Highlights ✅ Profitable B2B SaaS — $45k ARR, $48k TTM net revenue, $42k TTM profit (~89% margins) ✅ Recent performance — Last month: ~$4k revenue / ~$3.5k profit ✅ 238 active paying subscribers, 8 on trial ✅ Multi-database support — Postgres, MySQL, SQL Server, Snowflake, Oracle, MongoDB ✅ Low operational overhead — Automated onboarding, billing, hosting ✅ Established track record — Operating since 2021 ✅ Clean structure — Bootstrapped, no debt, no outside investors ✅ Simple transition — Full handover support included

Backend: Node.js, Express.js, Prisma ORM. Frontend: React, Tailwind CSS. Database: PostgreSQL with connectors for MySQL, SQL Server, MongoDB, Snowflake, Oracle. AI: OpenAI API for text-to-SQL generation. Auth: JWT, Google OAuth, GitHub OAuth. Payments: Stripe. Analytics: Mixpanel. Hosting: Vercel.

B2B SaaS platform with subscription-based recurring revenue, high margins, automated delivery, and scalable multi-tenant architecture. Supports expansion into usage-based pricing and enterprise licensing.

Strong opportunities exist across marketing, pricing optimization, and product expansion. Adding new SQL dialects, team plans, API usage billing, BI tool integrations, and improved onboarding can immediately boost revenue. Increased SEO and developer-focused content marketing can accelerate organic growth. The architecture supports rapid extension into enterprise workflows, offering meaningful ROI for a buyer.

Selling to focus on a new venture and due to limited time to continue growing the product. AI2SQL is performing well, but it deserves more attention than I can currently provide.