I created a platform to write SEO-driven articles in seconds using AI

Hacker News

Hello HN community! I am very glad to launch my first product on this platform after so much work! I am Javi, from Spain, and I am launching this AI post creator product so as agencies and independent bloggers can create post blogs easier, cheaper, and with great and SEO-driven content I myself have my own web design and SEO agency, and was facing this problem. I didn’t have time to create content for my client pages. They didn’t have time either to give me ideas for content creation, and I was a little stuck, because the content creation process was too long And then, I discovered AI. But AI is only useful when you know how to use it. If you tell AI to “write an article about X topic”, it can create a good article, but for sure it is not a great article, it is not SEO-driven, it is not original, and it lacks many other things. You have to train AI and learn how to get the best results. That is what I have been doing these months to get the best results for my clients, and now, for you too With Post BrAIner, I want agencies and independent bloggers to search ideas for new content, generate posts from a topic and structure, and publish this content directly into their blogs, so they can save too much time ⌛ and money in this content creation process. What can you do in Post BrAIner? Get ideas to create content from a topic Elaborate an structure for a blog post you want to create Create a blog post from a topic and structure, with an AI generated image too Publish directly into your blog or your clients blogs Control all your clients blogs on the platform Please leave your comments & feedback - so we can learn and improve! Thank you for your support! Javi

Visit product View on Hacker NewsJan 9, 2024

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

90%90% 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 · Missing: mac, agents, macos

78%78% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

35%35% 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: month · Missing: mobile apps, ios, personal

33%33% 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

21%21% 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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