Google Cloud TPU
Scikit-learn
machine-learning in Python
python-recsys
Qubole
Amazon Forecast
Microsoft Recommendations API
BigML
Makerkit.dev
ShipFa.st
supastarter
Nexty.dev
MkSaaS
NextBase
Codapult.dev
SaaSykit
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.
Google Cloud TPU Makerkit.devMakerkit.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, Google Cloud TPU should be more popular than Makerkit.dev. It has been mentiond 17 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.
I think the third company (likely Google) is going to make LLMs financially feasible with: - dedicated hardware (https://cloud.google.com/tpu) - optimized models (https://research.google/blog/turboquant-redefining-ai-efficiency-with-extreme-compression/). - Source: Hacker News / 3 months ago
Previous TPU generations, including last year's Ironwood, were pitched as unified flagship chips. Google's internal experience running Gemini, its consumer AI products, and increasingly complex agent workloads apparently showed that a single architecture forces uncomfortable trade-offs. So they split the roadmap. - Source: dev.to / 4 months ago
Tensor Processing Units are a technology developed and owned by Google. While you can find GPUs in every cloud provider offer, the TPUs are currently only available through Google Cloud Platform. Situation when you invest in a technology or a service that is not available anywhere else is called vendor lock-in โ it's something the sales people love, while customers try to avoid it. What does this look like for... - Source: dev.to / 4 months ago
Google's model is cloud-based. You can't buy a TPU to put in your server. Instead, Google keeps them in their own data centers and rents access exclusively through this. This allows Google to control the entire stack and they don't have to pay the "NVIDIA Tax". - Source: dev.to / 8 months ago
While I don't use Gemini, I'm betting they'll end up being the cheapest in the future because Google is developing the entire stack, instead of relying on GPUs. I think that puts them in a much better position than other companies like OpenAI. https://cloud.google.com/tpu. - Source: Hacker News / 8 months ago
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
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
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.
machine-learning in Python - Do you want to do machine learning using Python, but youโre having trouble getting started? In this post, you will complete your first machine learning project using Python.
supastarter - The boilerplate for your next web app built on top of Supabase and Next.js.
python-recsys - python-recsys is a python library for implementing a recommender system.
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.
