We've taken everything we've learned from 10+ years coding with Node.js, Mongo, and Stripe, and combined it with 2 years working with AI to create the FIRST SaaS boilerplate that gives you everything YOU need to build an AI powered startup 🚀
StartKit.AI looks like an incredibly well-thought-out and robust AI project toolkit. We have a similar solution called AI Tool based on Next.js: https://nextjstemplates.com/temp...
Congrats on the launch 🚀
@musharofchy nice one thanks! Yep there's lots of boilerplates out there now helping makers to ship faster 😁
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This actually looks like how a boilerplate is supposted to be 🤩
A lot of all the others out there are just thin not thought through projects someone with good marketing skills decides to sell.
Congrats on the launch!
@jarek_ceborski thanks Jarek! We provide a guide for deploying to digital ocean apps which takes a few mins https://startkit.ai/docs/guides/... but it's just a node app so can be deployed anywhere easily! Let me know if you've got any more questions 😁
Boilerplates saved me weeks on my last project. The tricky part is usually keeping them current as model APIs shift every few months. How often are you updating the starter, and what's the upgrade path for existing users?
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How opinionated is the stack? Boilerplates tend to live or die by how much they lock you in once you need to go off-script.
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Boilerplate is where early momentum goes to die. Really glad to see a kit that takes the AI integration layer seriously from day one rather than treating it as an afterthought. What opinionated decisions did you get the most pushback on from early users?
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Boilerplates saved me weeks on my last project. The tricky part is usually keeping them current as model APIs shift every few months. How often are you updating the starter, and what's the upgrade path for existing users?
Tailgrids
StartKit.AI
StartKit.AI
Kerlig AI
StartKit.AI
Kerlig AI
Boilerplates saved me weeks on my last project. The tricky part is usually keeping them current as model APIs shift every few months. How often are you updating the starter, and what's the upgrade path for existing users?
How opinionated is the stack? Boilerplates tend to live or die by how much they lock you in once you need to go off-script.
Boilerplate is where early momentum goes to die. Really glad to see a kit that takes the AI integration layer seriously from day one rather than treating it as an afterthought. What opinionated decisions did you get the most pushback on from early users?
Boilerplates saved me weeks on my last project. The tricky part is usually keeping them current as model APIs shift every few months. How often are you updating the starter, and what's the upgrade path for existing users?