Onepost

TrustMRR

Onepost est un logiciel SaaS de gestion et de publication sur les réseaux sociaux. Il permet aux utilisateurs (particuliers, créateurs et entreprises) de planifier, publier et analyser leurs contenus sur plusieurs plateformes depuis une interface unique. Le service fonctionne par abonnement mensuel ou annuel, avec différents niveaux de tarifs selon les fonctionnalités choisies.

Visit product View on TrustMRRMar 11, 2020Social Media Software B2C

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Actual performance

6customers

$152MRR/mo

Did not reach leaderboard

Traction signals

Domain Rating2

MRR growth 30d+37.2%

Launch Intel predictions

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Hacker NewsStrong engagement from HN community · Missing: https docs, just released, open source

57%57% predicted probability of success on Hacker News, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

47%47% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

38%38% predicted probability of success on BetaList, based on ML models trained on real launch data.

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

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

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

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

24%24% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

23%23% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Correct prediction on native model

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