Amabrik

TrustMRR

Amabrik is every widget your site needs in one lightweight script, and three of them matter most: a security scan that catches what vibe-coded sites leak, an SEO + AEO scan that lifts your Google ranking and your AI visibility, and worldwide-compliant cookie consent without the big-tool price. Each scan hands you a copy-paste fix prompt for any AI assistant: Claude, ChatGPT, Cursor. Plus popups, forms, an AI chatbot, reviews, social feeds, bookings and banners, all in one dashboard.

Visit product View on TrustMRRJul 1, 2026SaaS Software B2B

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Actual performance

Did not reach leaderboard

Traction signals

Domain Rating19

MRR growth 30d-100.0%

Launch Intel predictions

Analyze your own launch →

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

71%71% 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: cursor, claude, google · Missing: mac, agents, macos

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

AppSumoStrong fit for a featured deal · Strong signals: plus, reviews · Missing: platform, intuitive, host

51%51% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

26%26% 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

24%24% 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

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

Incorrect prediction on native model

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