Supablog

TrustMRR

Supablog is an AI-powered automated blogging platform that helps you generate, optimize, and publish SEO-ready content everyday on autopilot. The generated content is designed to grow organic traffic

Supablog is an AI-powered automated blogging platform that helps you generate, optimize, and publish SEO-ready content everyday on autopilot. The generated content is designed to grow organic traffic by publishing highly researched articles backed by high potential keywords. This helps businesses get cited by ChatGPT, Gemini, Perplexity etc - not just rank on google.

Visit product View on TrustMRRJan 7, 2026Other dodopayment nextjs

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Actual performance

Did not reach leaderboard

Traction signals

Domain Rating30

Launch Intel predictions

Analyze your own launch →

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

85%85% 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: google, perplexity, chatgpt · Missing: mac, agents, macos

69%69% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: google · Missing: mobile apps, ios, personal

53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

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

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

31%31% predicted probability of success on Hacker News, based on ML models trained on real launch data.

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

20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

9%9% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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