Why Your React Data Tables Are a Bloated Mess (And How to Automate Them)

🛑 Building data tables in B2B SaaS is the most tedious, soul-crushing task in full-stack engineering. Every time you need a new dashboard view, your engineers do the exact same dance: 👎 1. Write 200 lines of TanStack Table frontend boilerplate. 👎 2. Manage useQuery state for pagination, sorting, and complex filtering. 👎 3. Write a backend API to parse ?column=price&sort=desc&page=2 into something the DB understands. 👎 4. Write Drizzle ORM queries to manually map those query params to SQL conditions. If your team is doing this manually for every single table in your enterprise app, you are burning money and engineering hours on solved problems. 🔌 The Disconnect Between Client and Server TanStack Table is a masterpiece. Drizzle ORM is a masterpiece. But out of the box, they don't communicate. When a user clicks "Sort by Date" on the frontend, you have to manually map that string to an orderBy: desc(invoices.date) on the backend. Multiply this by 50 tables, 10 columns each,