Makerkit.dev
ShipFa.st
supastarter
Nexty.dev
MkSaaS
SaaSykit
StarterKitPro
Next SaaS Starter
Papers with Code
ML5.js
arXiv
Spell
Lobe
ML Showcase
Apple Machine Learning Journal
Amazon Machine Learning
Makerkit is a production-ready SaaS starter kit built with Next.js App Router and Supabase that helps developers launch faster.
It provides a robust foundation with built-in authentication, team management, billing integration, and Super Admin - all powered by a modular architecture that makes customization and maintenance a breeze.
Whether you're building a B2B or B2C application, Makerkit handles the complex infrastructure so you can focus on building your product's unique features using modern tools like TypeScript, React, and Tailwind CSS.
Makerkit.dev Papers with CodeNo Makerkit.dev videos yet. You could help us improve this page by suggesting one.
Makerkit.dev's answer
Indie Hackers and Companies who want to launch quickly, without compromising on quality.
Makerkit.dev's answer
Makerkit uses Next.js 15 (App Router), Supabase, React.js, Typescript and Stripe.
Makerkit.dev's answer
Makerkit stands out by offering a truly modular architecture built with Turborepo, where core features like auth, billing, and notifications live in their own packages for better maintainability.
While most starters lock you into specific patterns or providers, Makerkit gives you flexibility with a multi-account system supporting both B2B and B2C scenarios, provider-agnostic billing, and edge-ready deployment options.
Beyond the basics, it includes production-ready features like multi-factor auth, real-time notifications, and team permissions - all built with Supabase, TypeScript, React Query, and modern tooling to make development a genuine pleasure.
Makerkit.dev's answer
While other starters give you basic auth and a dashboard, Makerkit provides a genuinely modular foundation with the real features SaaS products need - like multi-factor auth, team permissions, real-time notifications, and provider-agnostic billing, all organized in clean, maintainable packages using Turborepo.
You get a first-class developer experience with TypeScript, React Query, and modern tooling, plus the flexibility to support both B2B and B2C scenarios, different payment providers, and edge deployment options.
Best of all, Makerkit is actively maintained with regular updates and responsive support, so you're building on a foundation that grows with your needs rather than painting yourself into a corner.
Based on our record, Papers with Code seems to be a lot more popular than Makerkit.dev. While we know about 100 links to Papers with Code, we've tracked only 2 mentions of Makerkit.dev. 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.
Price: $299 (Pro, individual) / $599 (Teams, 5 collaborators) - one-time, lifetime access URL: makerkit.dev. - Source: dev.to / 4 months ago
I saw these ones mentioned in an HN comment: - https://achromatic.dev - https://makerkit.dev - https://www.spirokit.com/ - https://saasykit.com/. - Source: Hacker News / over 1 year ago
Benchmark Primary focus Evaluation metrics System coverage Usability Link HumaneBench AI benchmark Human well being, humane AI principles HumaneScore, flip tests under adversarial instruction, long term well being 15 popular chat models tested across 800 realistic scenarios Designed for chatbot safety research; requires ensemble judging for... - Source: dev.to / 9 months ago
An helpful approach is to browse the state of the art models in paperswithcode. This will give you an idea of the performance of different models on various tasks. - Source: dev.to / almost 2 years ago
I think a way around this would some sort of voting/ popularity system? Papers with code (https://paperswithcode.com/) does this via Github stars sorting. Sure it doesn't mean something is established. But it at least gives some way to filter through the firehose of papers. Love this project btw! I think it has potential (and the timing is right now that everyone is looking for the next "attention is all... - Source: Hacker News / about 2 years ago
Adapting to Evolving Standards: With the rapid progress in deep learning research and applications, staying current with the latest developments is crucial. The checklist underscores the importance of considering established standard architectures and leveraging current state-of-the-art (SOTA) resources, like paperswithcode.com, to guide project decisions. This dynamic approach ensures that projects benefit from... - Source: dev.to / about 2 years ago
Papers With Code is one of the good resources to get you to get started. - Source: dev.to / over 2 years ago
ShipFa.st - The NextJS boilerplate with all the stuff you need to get your product in front of customers. From idea to production in 5 minutes.
ML5.js - Friendly machine learning for the web
supastarter - The boilerplate for your next web app built on top of Supabase and Next.js.
arXiv - arXiv is a free distribution service and an open-access archive for scholarly articles.
Nexty.dev - Launch your SaaS in days, not weeks. Nexty.dev is a production-ready Next.js and Supabase starter template for building modern SaaS applications. Launch your content, AI, or subscription service faster.
Spell - Deep Learning and AI accessible to everyone