Lovable-prompts.com
Production-ready prompts for Lovable AI development
Lovable-prompts.com launched on January 5, 2026 with 8 votes, #1,339 of 14,584 launches that month and more than 90% of that year's launches.
What it does
Lovable Prompts is a curated library of copy-paste prompts for building better apps with Lovable. Instead of starting from scratch or getting stuck in the generate-fix-regenerate cycle, grab prompts that include proper structure, technical specs, and design direction. Built for founders and developers who want to ship faster without wrestling with prompt engineering. Each prompt follows Lovable best practices and gets you production-ready results.
Turn ideas into MVPs with built-in distribution from day one. Generate Lovable-ready prompts that include features, UI, AND how to get users.
The only prompt library that forces you to think about distribution before you write a single line of code . All 101 prompts, every Pro channel variant, all four build kits with reviewed row-level security, and every future drop, in one workspace. $ 47 for the first 100 , $ 97 planned at launch. One payment when it opens, never a subscription. The founder worked at Techstars, with Y Combinator-backed founders, is Reforge-trained, and holds an MSc from NOVA. These are his credentials, not customer logos. The same app idea, two completely different outcomes. A well-crafted first prompt doesn't just build features, it builds an experience users want to share. Generic prompt → Generic result.…from lovable-prompts.com
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Lovable2024 · lovable.dev · ▲1,477Hey HN! Previous CERN physicist turned hacker here. We've developed a way to make AI coding actually work by systematically identifying and fixing places where LLMs typically fail in full-stack development. Today we're launching as Lovable (previously gptengineer.app) since it's such a big change. The problem? AI writing code typically make small mistakes and then get stuck. Those who tried know the frustration. We fixed most of this by mapping out where LLMs fail in full-stack dev and engineering around those pitfalls with prompt chains. Thanks to this, in all comparisons I found with: v0,…
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