Developer Tools1 week ago
KraftApp — describe it, watch it appear
Build and preview AI apps with real backends and model choice.
@SanikaSurse · X
The full gallery
Tech stack
22 projects
Build and preview AI apps with real backends and model choice.
@SanikaSurse · X
Backend-as-a-service with MCP server, REST APIs, and row-level security for AI apps.
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
Unified backend offering authentication, payments, customer database, and AI analytics for SaaS and AI companies.
@NikChr1414 · X
Build backends with managed Postgres, authentication, and auto-generated APIs.
@im_pradee_p · X
Backend as a service
Backend platform providing auth, storage, database, and LLM APIs (Claude, OpenAI, Gemini) via a single JavaScript library.
ent101 · HN
The Safe, Production-Ready Backend for AI-Generated Apps
Monitor your domains with real-time status updates
@theHumanFlag · X
Get alerts when a site is down.
Real-time messaging powered by Cloudflare Durable Objects
@DIYregistry · X
If anyone tries to clone this repo and runs into a problem, send a message to me on I was vibe coding when I made this work & luckily created a README file. Otherwise, I'd have a hard time remembering how to repeat the steps coding a custom business email.
Find AI-scored SaaS ideas mined from Reddit and Hacker News discussions.
@_itisthedude · X
Building FounderMate, helps builders to find pain points from Reddit and Hacker News
Run cold email campaigns, automate follow-ups, manage replies, and track what converts from Gmail, SMTP, or the sending provider you already use.
@Yanis_Djabali · X
The complete outbound platform, go try it free
Turn natural language descriptions into production-ready backend APIs and services.
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,
Browser tools for practical fixes to everyday software tasks, starting with GitHub.
yusveng · HN
Workaround – Unstar GitHub Repos in Bulk
Compare how different AI models generate frontend code and view accessibility scores.
u/12qwww · Reddit
I built a live benchmark to see which AI actually writes the best frontend code Hey everyone! I built OpenVibeEval because I was tired of "vibe-checking" AI-generated frontend code. I wanted to know which model actually produces the most accessible and clean React/Tailwind output. What I built: •A leaderboard of 24 models (Claude, GPT, DeepSeek, etc.) ranked by axe-core accessibility scores. •A Harness Comparator to show how different system prompts change the same model's output. •