The problem: Database design is tedious. ChatGPT gives you text SQL (then you copy-paste into MySQL Workbench). Traditional ER tools are clunky.
The solution: Describe your database in plain English → AI generates schema → Visual ER diagram → Click to edit → Export to SQL/Prisma/TypeScript.
Key features:
- Natural language to database schemas
- Visual ER diagrams with relationships
- Validation warnings (catches missing PKs, indexes)
- AI-powered quick fixes
- Manual editing (click to modify, no re-prompting)
- Export to SQL, Prisma, TypeScript, migrations
- Version control
isakfiksdal•5h ago
The problem: Database design is tedious. ChatGPT gives you text SQL (then you copy-paste into MySQL Workbench). Traditional ER tools are clunky.
The solution: Describe your database in plain English → AI generates schema → Visual ER diagram → Click to edit → Export to SQL/Prisma/TypeScript.
Key features: - Natural language to database schemas - Visual ER diagrams with relationships - Validation warnings (catches missing PKs, indexes) - AI-powered quick fixes - Manual editing (click to modify, no re-prompting) - Export to SQL, Prisma, TypeScript, migrations - Version control
Tech stack: Next.js + Supabase
Also launching on Product Hunt today: https://www.producthunt.com/products/structa-2?launch=struct...
Built in 4 weeks as a solo founder. Would love your feedback!
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