RoastMyStore.ai

TrustMRR

🔥 RoastMyStore – Analyse et “roast” de ta boutique e-commerce RoastMyStore est une application pensée pour les e-commerçants et dropshippers qui veulent savoir la vérité sur leur boutique… sans filtre. En quelques secondes, l’app analyse ton site et te donne un roast honnête, drôle et brutalement utile sur ce qui bloque tes ventes : design, confiance, UX, prix, branding, fiches produits et plus encore. 💡 L’objectif n’est pas seulement de critiquer, mais de t’aider à convertir plus de visite

Visit product View on TrustMRRMay 1, 2026SaaS stripe openai

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Actual performance

Did not reach leaderboard

Launch Intel predictions

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

81%81% 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.

AppSumoStrong fit for a featured deal · Strong signals: plus, site · Missing: reviews, intuitive, videos

52%52% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

32%32% predicted probability of success on TrustMRR, 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

18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

16%16% predicted probability of success on Hacker News, based on ML models trained on real launch data.

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

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

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

11%11% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Correct prediction on native model

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