Rankfastt

TrustMRR

Rankfastt is an AI-visibility tool for founders and small teams. It scans your site, checks whether ChatGPT, Perplexity, Gemini, and Google AI actually cite you for the questions your buyers ask, and

Rankfastt is an AI-visibility tool for founders and small teams. It scans your site, checks whether ChatGPT, Perplexity, Gemini, and Google AI actually cite you for the questions your buyers ask, and shows which rivals get recommended instead. Then it hands you a ranked list of fixes - answer-ready content, schema, and comparison pages - that you can generate with AI in one click.

Visit product View on TrustMRRAug 1, 2026Marketing Other B2B

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Actual performance

4customers

$15MRR/mo

Did not reach leaderboard

Traction signals

Domain Rating5

MRR growth 30d+91.8%

Launch Intel predictions

Analyze your own launch →

Product HuntOn track for Day 1 leaderboard · Strong signals: google, perplexity, chatgpt · Missing: mac, agents, macos

86%86% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersIH features products with proven revenue · Strong signals: gemini · Missing: supports, created, podcasting

43%43% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: site · Missing: reviews, intuitive, videos

39%39% 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, just released, open source

36%36% 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

12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: ai, google · Missing: api, 000, profitable

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

nativeThis product was originally launched on this platform.

BetaListMay not resonate with beta-testers · Missing: web3, just like, small businesses

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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