Turn This Open-Source tool into Your Own SaaS (Start Earning Today)

Hacker News

Want to start earning right away by launching your own SaaS? Check out Atlas CMMS – a powerful, self-hosted maintenance management system that's like Jira for technicians! Here's the kicker: It's open-source, meaning you can: White-label it and sell it as your own product Offer hosting and support for recurring income Add custom features and charge premium prices Perfect for industries like manufacturing, healthcare, hospitality, and more. This is your chance to launch your own SaaS without building from scratch! Start today – The possibilities are endless! Check it out on GitHub and feel free to ask me anything!

Visit product View on Hacker NewsFeb 24, 2025

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Actual performance

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Launch Intel predictions

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

66%66% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

62%62% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntOn track for Day 1 leaderboard · Strong signals: open · Missing: mac, agents, macos

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

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

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

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

32%32% 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, recurring · Missing: arr, mrr, revenue

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

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

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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