I combined gpt4 and tailwind to create a website builder for developers

Hacker News

Hey HN, As a freelance web developer, I've been on the lookout for the perfect static site generator that prioritizes modern design, lightning-fast loading speed, and complete code ownership. I've grown increasingly frustrated with the limitations of popular website builders like Webflow and Framer. Sure, they make the design process easier, but when it comes to having full control over the source code and customizing every little detail, they just don't cut it. I was tired of being locked into walled gardens and dealing with bloated frameworks just to display a simple site. That's why I created InstaWebAI – a static site generator that harnesses the power of AI and Tailwind CSS to create stunning, responsive websites without the unnecessary baggage. With InstaWebAI, you can: Generate blazing-fast static sites from simple text input Enjoy a modern, sleek design right out of the box Customize every aspect of your site using Tailwind CSS Export your code and host it anywhere, ensuring complete control Benefit from a lightweight, self-contained solution without relying on external frameworks As a solo founder, I built InstaWebAI to address my own frustrations and needs as a developer. But I quickly realized that many of my fellow devs were facing the same challenges. InstaWebAI is designed to make your life easier, whether you're building a personal portfolio, a client project, or a complex web application. If you're a developer who values speed, control, and modern design, give InstaWebAI a try. I'd love to hear your thoughts, feedback, and suggestions. Your input is crucial in shaping the future of InstaWebAI and making it the go-to static site generator for developers like us. Thanks for checking out my project! Cheers, Brian Founder of InstaWebAI

Visit product View on Hacker NewsJun 11, 2024

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Product HuntOn track for Day 1 leaderboard · Strong signals: using, code · Missing: mac, agents, macos

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AppSumoStrong fit for a featured deal · Strong signals: host, builder · Missing: plus, platform, intuitive

72%72% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

68%68% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: personal · Missing: mobile apps, ios, entrepreneurs

46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

14%14% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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