Codapult.dev
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Codapult is a modular Next.js SaaS boilerplate for developers who want a production-ready foundation without vendor lock-in. Auth, billing, teams, admin dashboards, AI features, and infrastructure-as-code (Docker, Terraform, Pulumi, Kubernetes) ship wired together. An adapter-based architecture lets you swap auth providers, payment processors, and storage backends by changing environment variables.
Compared to minimal launch templates, Codapult is built for products that may need to scale into B2B SaaS โ with SAML SSO, SCIM, audit logs, and white-labeling available when you need them, without restructuring the codebase.
Tried generating an image or video with AI and watched the credits drain? The prompt is usually what's broken โ and most marketplaces publish whatever sellers upload, so buying one is a gamble.
Graded Prompts removes the gamble. Before a prompt goes on sale, a human reviewer runs it on the model it's written for and checks the listing, instructions, and example outputs against what the model really produces. Prompts that pass earn a Graded Badge; prompts that fail go back to their creator with feedback.
What you get:
Built for the people who use these models daily: influencers filling a content calendar, marketers mocking up campaigns, print-on-demand shops hunting a clipart style, authors trying cover concepts, video makers building scenes โ anyone who'd rather start from a working prompt than burn credits writing one.
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Graded Prompts's answer:
People who use AI tools for real work but don't want to fight with prompt engineering: content creators filling a posting calendar, marketers mocking up campaigns, print-on-demand sellers, self-publishing authors, and video makers. On the other side of the marketplace: prompt engineers who want to monetize their craft โ they keep 85% of every sale with no listing fees.
Graded Prompts's answer:
Every prompt is human-reviewed before it can be sold: a reviewer runs it on the model it's written for with varied inputs, checks that the instructions are complete and the variables labelled, and compares the seller's example outputs to what the model really produces. Prompts that pass earn a Graded Badge; the rest go back to their creator with specific feedback. Most marketplaces publish whatever sellers upload โ the grading is the whole point here.
Graded Prompts's answer:
Because the risk sits with the marketplace instead of the buyer. Listings are verified before sale, example outputs are checked against reality, every purchase includes a perpetual personal-and-commercial license, and refunds come from Graded Prompts itself as merchant of record โ within three days if a prompt doesn't perform as described. Free prompts and guest checkout mean you can test the quality bar without an account or any commitment.
Graded Prompts's answer:
It started with a familiar frustration: AI credits drained on generations that came out wrong because the prompt was broken โ and prompt marketplaces that publish anything, so buying one was a gamble too. Graded Prompts was built to be the marketplace we wanted to buy from, where a human tests every prompt on its real model before it goes on sale. It launched in 2026 as an independent, bootstrapped company.
Graded Prompts's answer:
Next.js and React on the frontend, a Java Spring Boot API, and PostgreSQL, hosted on AWS with CloudFront. Stripe handles payments and seller payouts, and the AI-powered search runs on OpenAI embeddings.
I want to preface with this. I had over 3 million views and sales on Makersplace before it shut down. I'm a globally ranked seller on other prompt sites.
I have to say, unlike most other sites that try to sell prompts, Graded Prompts actually makes sure each prompt is rigorously tested before actually being listed on the site for sale.
I honestly wouldn't use any other site.
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