Free
$0Free plan available.
Supanext is a production-ready Next.js starter kit with Supabase, designed to help launch SaaS or AI applications faster. It features authentication, AI integration, payments, and modern UI components.
Use Supanext to build revenue-generating projects over a weekend. It saves over 55 hours of development time by providing a complete Next.js and Supabase starter kit to help you move from idea to profit quickly.
Supanext is a production-ready Next.js starter kit integrated with Supabase, designed to help you launch SaaS or AI applications more quickly.
Supanext includes authentication, AI integration, payment processing, and modern UI components.
Supanext is built using Tailwind 4, Next.js 15, Supabase, Stripe or LemonSqueezy, and Resend.
The kit includes an AI image generation demo and AI chat examples, featuring integrations with OpenAI and Replicate.
Supanext provides a fast, search-optimized landing page and blog, including a script to generate and refine blog content.
The kit supports both light and dark modes, and you can easily adjust the primary colors to suit your branding.
Free plan available.
Use these comparison pages to understand the trade-offs between the models most relevant to Supanext.
Compare Gemini 1.0 Pro Deprecated and Gemini 2.0 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare Gemini 1.0 Pro Deprecated and Gemini 2.5 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare Gemini 2.0 Flash Lite and Gemini 2.0 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare Gemini 2.5 Flash and Gemini 2.0 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
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