Essence radar

TrustMRR

EssenceRadar (essenceradar.fr) publie gratuitement une carte en temps réel des prix et des ruptures de carburant en France, à partir des données officielles du ministère de l'Économie. Nous vendons des passes d'accès à des alertes instantanées par email et notification, quand une station est réapprovisionnée, tombe en rupture ou passe sous un prix choisi. Paiement unique de 3,90 € pour 7 jours ou 7,90 € pour 30 jours, sans abonnement ni renouvellement automatique. L'accès est activé immédiatemen

Visit product View on TrustMRRSep 21, 2026Software stripe content-marketing

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Actual performance

Did not reach leaderboard

Launch Intel predictions

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BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto

68%68% predicted probability of success on BetaList, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

45%45% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

40%40% 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 · Missing: plus, platform, intuitive

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

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

22%22% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

16%16% 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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