I built an AI that writes website copy that sells [No-Code]

Hacker News

Hey HN! I built an AI that writes website copy that actually sells, and 40 people used it so far. You tell it about the business you run, and it will give you the copy for your landing page + a conversion-oriented wireframe. You can edit the text, the colors, the layout, regenerate sections using AI, and export the landing page as .PNG to send it to your designer or copywriter. One of our testers used it in their agency, and their client was happy with the result and it saved them a ton of time. I am aware that it is not perfect, and it needs a lot of work so I won't act like it's the best thing out there. Your feedback is extremely valuable and I know you are always honest, and that's why I want to give you 100% free access to it. Break it, make it crash, find its weaknesses and make me cry :) It's developed 100% with no-code tools, so here's another reason to have no mercy. I built it in 6-7 weeks during Buildspace N&W S5, so we are still in beta. Here's the link: https://landingpro.ai/sign-up Here's a promocode for 100% OFF: HACKERNEWS100 Enjoy!

Visit product View on Hacker NewsJul 29, 2024

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

81%81% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

58%58% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: lua, io · Missing: https docs, excited, just released

34%34% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

26%26% 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

23%23% 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.

Correct prediction on native model

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