
ShipFa.st
supastarter
Makerkit
Makerkit.dev
SaaS Boilerplate
MkSaaS
SaaSykit
Nexty.dev
Papers with Code
ML5.js
arXiv
Spell
Lobe
ML Showcase
Apple Machine Learning Journal
Amazon Machine Learning
ShipFa.st
Papers with CodeNo ShipFa.st videos yet. You could help us improve this page by suggesting one.
Based on our record, Papers with Code seems to be a lot more popular than ShipFa.st. While we know about 100 links to Papers with Code, we've tracked only 4 mentions of ShipFa.st. 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.
Lou got fired by Tai Lopez in November 2021, was broke and depressed, and moved to Bali. He started shipping tiny products in public, copying the playbook of, yes, Pieter Levels. His breakout was ShipFast, a Next.js starter kit that did $40,000 in its first month in September 2023. - Source: dev.to / about 1 month ago
Options like ShipFast ($250) and Supastarter (starting at $299) are popular choices. They're packed with lots of features and have a strong history of adoption and support. - Source: dev.to / 5 months ago
The idea is to offer this as a one-time lifetime purchase with free updates, similar to the model of https://shipfa.st/, giving user a significant headstart to a project similar to https://cryptoquant.dev. Some of you might have seen my F# architecture/parsing posts on https://cryptoquant.dev โ this aims to bring that kind of thinking into a practical, reusable asset. Before I spend time building out a landing... - Source: Hacker News / over 1 year ago
I have tried it (testfromhn@ was my email) and it looks nice and clean. If you push the idea further you could make it a business like https://shipfa.st/ did. It seems you tried with SupaSaaS ? Even the name was good, perhaps you can call this template SupaSaaS lite to bring prospects to you ? Seems cool overall. - 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
supastarter - The boilerplate for your next web app built on top of Supabase and Next.js.
ML5.js - Friendly machine learning for the web
Makerkit - Customer feedback, public roadmap & product changelog
arXiv - arXiv is a free distribution service and an open-access archive for scholarly articles.
Makerkit.dev - MakerKit is a SaaS Starter Kit for Next.js, Remix, Firebase and Supabase. Build unlimited SaaS products in record time with the best SaaS Boilerplate.
Spell - Deep Learning and AI accessible to everyone