Dropapost

TrustMRR

Dropapost est la première plateforme d'automatisation du Community Management propulsée par l'IA, conçue pour libérer les agences et les freelances TPE et PME. Compatible avec Instagram, Pinterest, Google, Tiktok et Facebook, cette solution tout-en-un centralise la gestion multi-marques et utilise une intelligence artificielle adaptative pour analyser vos statistiques, générer des visuels brandés et publier automatiquement aux créneaux les plus impactants.

Visit product View on TrustMRRJul 1, 2025Marketing Software B2B

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Actual performance

36customers

$996MRR/mo

Did not reach leaderboard

Traction signals

Domain Rating8

MRR growth 30d+16.7%

Launch Intel predictions

Analyze your own launch →

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

77%77% 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.

TrustMRRFits verified-revenue profile · Strong signals: google · Missing: api, 000, profitable

70%70% 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 · Strong signals: plus · Missing: reviews, intuitive, videos

26%26% 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

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

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

15%15% 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

15%15% 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

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

Incorrect prediction on native model

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