Prisma
Supabase
Artisse AI
Yachting Software
PhotoLab Bot
mHSEQ
TIMEZERO
Deep Art Effects
Modelence
Lovable
Floot
BASE44
Getting MEAN with MEMEs
Supabase
HTML and CSS: Interactive Projects
Convex.dev
Modelence is a no-code app builder that helps you build real, production-ready web apps (not prototypes) with everything you need to go live by default. It lets users build complete web applications with built-in authentication, database, and monitoring - all in one platform. Powered by its own open-source library designed specifically for the AI era, Modelence enables fast, reliable app development without writing a single line of code. Whether you're building internal tools, SaaS products, or MVPs, agents handle the entire development process from start to deployment. Once live, you can easily scale your app and monitor its performance and metrics in real time. Modelence is free to get started and supports the full app lifecycle out of the box.
Prisma ModelenceModelence's answer:
TypeScript and MongoDB as the core stack, built on Modelence's own open-source full-stack framework. The AI App Builder layer handles prompt-to-app generation on top of this foundation.
Modelence's answer:
Compared to Lovable, Replit, or Base44, Modelence gives you production-grade apps (not throwaway prototypes), a fully open-source codebase you can eject and self-host anytime, and a streamlined no-code experience backed by a robust full-stack framework.
Modelence's answer:
Non-technical founders, solo entrepreneurs, and small teams who need to ship real software products quickly - without hiring a dev team or learning to code. Also appeals to technical users who want to accelerate app development with AI while retaining full code access.
Modelence's answer:
Modelence builds real, production-ready apps from prompts - not just prototypes. Unlike other AI app builders, it's powered by an open-source TypeScript/MongoDB framework, so you get full code ownership and no vendor lock-in.
Prisma AI is a computer vision and AI company that specializes in developing deep learning algorithms for image and video processing. It offers a range of products for object recognition, image and video classification, and style transfer. Many users have praised its ease of use and accurate results. However, like any technology, it has its limitations and may not always provide the best results for all use cases.
Based on our record, Prisma seems to be more popular. It has been mentiond 5 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
What if I just want to make a few? However if you're hoping to do this just for a few images then there are some very low cost apps (often free if you plan it right) which use Stable Diffusion and Dreambooth in the background to produce the personalised images. One such example is Lensa. Source: over 3 years ago
Perhaps, or they just used an app like Prisma to add that โpaintingโ effect. Source: over 4 years ago
I had to deal with this more in Rails whereas in Node/Apollo, using Prisma made composing efficient/perform ant SQL queries trivial: https://www.prisma.io/. Source: almost 5 years ago
I really liked this wallpaper by /u/MadDaz and I tried using style transfers using prisma-ai.com to generate images a bit more abstract. Here are the results! Source: about 5 years ago
Thanks - I made it on my android phone using Prisma and Snapseed. Source: about 5 years ago
Supabase - An open source Firebase alternative
Lovable - The world's first AI Fullstack Engineer
Artisse AI - Artisse is an AI-powered app that effortlessly transforms ordinary selfies into hyper-realistic masterpieces, allowing users to explore their creativity like never before. Artisse redefines photography, making it accessible and inspiring for all.
Floot - Build serious apps with AI without getting stuck
Yachting Software - Yachting Software
BASE44 - The platform for people to turn ideas into working products.
