Tired of overpriced SEO tools? I built SEOzast for the price of coffee

Hacker News

After getting frustrated with expensive and clunky SEO tools, I decided to build my own. I made SEOzast — a tool that lets you generate 1000-word AI-written SEO articles with real backlinks from your site. It’s built for indie hackers, solo founders, and people launching niche projects who want organic traffic without spending $50/month or writing a single blog post. You enter your sites, SEOzast analyzes them to generate titles, descriptions, and topics. Then it handles the rest: from H1 tags to meta descriptions, internal linking from your real articles, and deployment to GitHub in one click as markdown or React (TSX/JSX) pages. Images are fetched from Pexels, and you can download articles in different formats. It runs on Next.js, uses OpenAI under the hood, and I host it myself to keep costs low (cheaper than a coffee/month). I’m still improving it and would love your feedback. Brutal honesty welcome. https://seozast.com

Visit product View on Hacker NewsMay 28, 2025

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

47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

44%44% 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, 000, io · Missing: https docs, excited, just released

41%41% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

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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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