Launching my first real project made me realize that writing code is the easy part. The real challenge starts when everything around it needs to work for real. After many experiments and late nights, I finally put my SaaS live, and I wanted to share a bit of this journey with you.
I built everything using Python, FastAPI, Vite, and React. I also integrated the application with AWS **using **RDS, CloudFront, and S3. I set up the CI/CD pipeline with GitHub Actions. I paid a lot of attention to security, working with firewalls, captchas, a custom authentication system, OAuth, and keeping **VPCs **completely closed to the internet. That was when it really hit me: coding is easy, what comes after is not.
Dealing with environments, observability, logs, metrics, and alerts becomes part of the daily routine. Handling exceptions, using services like Sentry, and realizing that in production you get errors you would never see locally. You also start dealing with privacy policies, terms of service, backups, and everything that comes with running a real product.
Then there is marketing. You might believe your product is good, but no one knows it yet. No one wakes up wanting to use software they have never heard of. You need to build a narrative, repeat it, study SEO, paid traffic, and everything that costs time. Your product needs good onboarding and a solid UX that avoids confusion. I will not even talk about retention here, because I am not there yet.
In the end, your tech stack does not matter to the user, and all the fun of being a developer opens up a whole new set of skills you need to learn to ship a good launch. Coding is the easy part, and this time I decided to do everything from scratch.
The product I launched is an AI-powered platform to practice interviews. Instead of answering static questions, users talk to customized agents. I built these agents by studying chains with LangChain and applying fine adjustments to simulate different interviewer profiles.
During the interview, the platform provides real-time feedback on each answer. At the end, it generates a complete overview with strengths, areas for improvement, and clear suggestions for next steps. The goal is to help candidates feel more prepared for the interview ahead. You can even create your own interview agent to train!
I would like to invite all of you to try the platform, explore the custom agents, and of course share technical feedback. This was my first launch, and there is still a lot to improve. I hope the tool is useful and that my experience encourages others to put their projects out into the world.
If you can try it and share your impressions, it would already help a lot.
Meet https://intermock.com
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