Mudur.OS

Mudur.OS

TrustMRR

Multi-tenant SaaS platform tailored for the construction industry. Combines real-time site management, scheduling, and invoicing into a single mobile-optimized interface for field teams. Fonctionnalit

Multi-tenant SaaS platform tailored for the construction industry. Combines real-time site management, scheduling, and invoicing into a single mobile-optimized interface for field teams. Fonctionnalités principales:Gestion des chantiers & Plannings : Suivez vos projets et organisez vos équipes en temps réel.Contrôle HSE : Gérez la sécurité et la santé sur vos chantiers.Facturation : Centralisez la création de vos devis et factures

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Actual performance

1customers
$230MRR/mo
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
75%75% 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 · Missing: mobile apps, ios, personal
61%61% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
55%55% predicted probability of success on Hacker News, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
46%46% predicted probability of success on BetaList, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, interface · Missing: plus, intuitive, reviews
38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: single · Missing: mac, agents, macos
26%26% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: saas · Missing: arr, mrr, revenue
20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Incorrect prediction on native model

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