ent101 · HN

The Safe, Production-Ready Backend for AI-Generated Apps

@im_pradee_p · X

Backend as a service

u/yousefemz · Reddit

18 months ago we weren't sure it was possible. Today we launched it. We kept asking ourselves one question for a year and a half: can an AI actually design a scalable backend from a description of how it should behave, not demo-ware, something that holds up in production? We didn't know. Some weeks it felt like the answer was no, or that we'd end up with code that looks right and falls apart the second real traffic hits it. We just launched it. You describe how your backend should behave,

@facinatedbytech · X

Business applications, multiple projections, with optional backend.

@NikChr1414 · X

u/bob__io · Reddit

What we learned from trying to turn vibe-coded prototypes into production SaaS applications Founder here. While developing MCPBackend, we noticed a major difference between generating a convincing application demo and building a maintainable SaaS product. AI coding tools are increasingly capable of generating interfaces, routes and even initial application logic. But a production application still needs: a reliable data model authentication and authorization backend validation

@AbhilashVeettil · X

@SanikaSurse · X

@3aziz2000 · X

An AI web app for solo coaches and coaching teams to generate tailored programs with a single prompt using client data

@_akkal_dhami · X

@leighaquarius · X

Building the Stack2 Platform. One dashboard for agencies to manage every client’s website. Updates, backups, uptime, passwords, tasks and automated white-label reports, with unlimited team seats. For agencies replacing five tools and a spreadsheet.

@Lewiefds · X

15 tools. 1 platform. Seenty unifies monitoring, security, and incident response for DevOps teams. Your stack in fifteen tabs, now in one place. 🚀