MyTraiteur

TrustMRR

MyTraiteur est un traiteur en ligne spécialisé dans les cocktails, buffets, petits-déjeuners et réceptions professionnelles ou privées. En quelques clics, chacun peut personnaliser sa réception, obtenir immédiatement un devis sur mesure et le télécharger en toute autonomie. Une solution simple, rapide et transparente pour organiser son événement sans multiplier les échanges ni attendre plusieurs jours pour connaître le tarif. Noté 4.9/5.

Visit product View on TrustMRRFeb 4, 2018Travel Catering Both

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Actual performance

Did not reach leaderboard

Traction signals

Domain Rating26

MRR growth 30d+164.5%

Launch Intel predictions

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

50%50% 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.

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

37%37% predicted probability of success on Hacker News, based on ML models trained on real launch data.

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

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

TrustMRRLess likely to generate early MRR · Strong signals: api, charge, ai · Missing: 000, profitable, 1m

27%27% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

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

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

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

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

6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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