When I published my first packages on npm, I never imagined they would become a small source of passive income. Today, four tools I developed in my spare time generate around $50 a month — a modest figure, but proof that well-designed software can be monetized without huge investments. At Q2BSTUDIO, where I work building custom applications, I learned that even the smallest projects can scale if they solve real problems.
The first package is called 'SecretGuard'. It is a CLI tool that scans .env files for exposed credentials like API keys or access tokens. I built it after a colleague accidentally uploaded secrets to a public repository. Income comes through donations and a premium version that offers continuous scanning. Cybersecurity is critical today, and at Q2BSTUDIO we offer pentesting and auditing services that go far beyond a simple environment variable review. This package reminded me that protecting sensitive information is the first step for any digital business.
The second, 'CommitPulse', analyzes Git commit history to show productivity metrics: commit frequency, peak hours, and collaboration patterns. I monetize it with a web dashboard that requires a subscription for advanced analytics. The business connection is clear: well-interpreted data drives strategic decisions. At Q2BSTUDIO we use Power BI and other BI tools to turn raw data into actionable reports, a service we offer to clients across industries. If you are interested, check out our Business Intelligence page.
The third package, 'SnippetBox', is a code snippet manager with Markdown support and cloud sync. The free version allows up to 50 snippets; the premium unlocks unlimited storage and team collaboration. For sync I used AWS S3, which led me to dive deeper into cloud services. Q2BSTUDIO is a partner of AWS and Azure, helping companies migrate and optimize their cloud infrastructure. If you are looking to scale your application, have a look at our cloud services.
The fourth project is 'LogInspector', a real-time log viewer that uses lightweight AI models to detect anomalies and error patterns. The free version shows basic logs; the paid one includes AI agents that send automatic alerts when something fails. This tool was born from the need to debug applications without staring at endless screens. Integrating artificial intelligence into monitoring processes is a trend we also apply at Q2BSTUDIO with custom automation and AI agent solutions. If you want to know how AI can improve your operations, visit our artificial intelligence page.
Altogether, these four packages taught me that open source and profitability are not mutually exclusive. Each one addresses a concrete need: security, analysis, productivity, and monitoring. And even though the $50 monthly doesn't cover a Netflix subscription, it proves that an independent developer can generate passive income while contributing to the community. At Q2BSTUDIO we apply the same philosophy: we develop custom applications that solve real problems, whether through cloud, AI, cybersecurity, or BI. If you have an idea that could become your next npm package or a business project, we are here to help make it happen.
