Duefly.com

TrustMRR

Duefly is an all-in-one SaaS platform built for freelancers and small teams. It combines time tracking, project management, CRM, collaboration, and pre-invoice financial oversight in one simple system. Unlike accounting tools, Duefly owns the entire workflow from lead to paid work. Built with a modern tech stack and a Danish-first approach, the platform is production-ready, scalable, and positioned to become the operating system for freelance businesses.

Visit product View on TrustMRRSep 2, 2023SaaS Services B2C

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Actual performance

2customers

$1,559MRR/mo

Made the leaderboard

Traction signals

Domain Rating5

MRR growth 30d+0.8%

Launch Intel predictions

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

80%80% 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.

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

50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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.

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

44%44% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: paid, time tracking · Missing: web3, chat, crypto

7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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