
KraftApp — describe it, watch it appear
Build and preview AI apps with real backends and model choice.
@SanikaSurse · X
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15 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

Form backend for static sites and AI launches that captures submissions and routes them to your tools.
@AbhilashVeettil · X

Free frontend developer tools for CSS generation, image compression, and more.
@iamdeepak89 · X

Create and deploy web applications by describing them to an AI.
ceritium · HN
I built a kind of paas for llms, the idea was to allow my family deploy webs cheap and easy, my family doesn't use It, but It end being very useful form mento deploy small apps. You can check It out on https://onvibe.run there is a list of forkable apps that I use. I did some kind of meta thing, because bownI can create apps with llm (like Claude) and expose an mcp on theme (like the notes and todolist apps).

Coursey shows the real data on online courses — member counts, revenue estimates, pricing, and rankings — backed by honest reviews, so you can pick the course that's actually worth
@00jbam · X
buying courses online are difficult, expensive, and sometimes sketchy, however coursey makes the entire process more seamless and effortless.

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,
Track Bitcoin supply metrics in real-time.
@_nikzzy07 · X
i've built my first app, its a BTC supply tracker i hope you guys like it!!

Visualize and deploy AI-generated backend code as a verifiable logic layer you can understand and own.
@SpalaAi · X

Real-time collaboration workspace with AI-powered code editor, file sharing, UML diagrams, and group decision tools.
u/Hopeful-Can-1540 · Reddit
Trying to figure out distribution for a real-time collaboration tool LiveShareIt has been around for a bit, and the product has changed quite a lot recently. The basic idea is pretty simple: open a room, share the link, and start working together. No signup needed. People can share code/text, send files, use a collaborative whiteboard, and jump on a video call in the same room. One feature I’ve been playing with lately is the AI whiteboard. Instead of starting from a blank canvas, you

Test and monitor APIs with real-time insights and load testing capabilities.
@SajidAbuba74138 · X
A tool for developers