When you have a nice idea for a micro-SaaS, and want to build and ship your MVP fast, choosing the right tech stack is pivotal. As the founder of LINQ Me Up, an AI-powered micro-SaaS designed for .NET developers, I embarked on a journey that not only challenged my technical skills but also reshaped my understanding of building a service that genuinely adds value.
This post delves into the tech stacks, methodologies, and pivotal decisions that underpinned the development of LINQ Me Up, aiming to inspire and guide fellow founders traversing the path of AI startups.
LINQ Me Up was born out of a simple, yet pressing need: I needed a quick and easy way to convert bloating SQL scripts into LINQ code. Then I figured, If I can whip up a solution, why not make it a SaaS product to assist .NET developers in converting SQL queries into LINQ and vice versa without the hassle of navigating through clunky, expensive, and inefficient tools.
The idea was not just to create a conversion tool but to leverage AI to make this process smarter, faster, and more accessible.
Let's talk about what tech is powering my micro-SaaS, and more importantly, what led me to the selection of the tech stack.
The journey began with selecting Laravel, a PHP framework known for its elegant syntax, robust features, and extensive community support. Laravel was chosen for its scalability, ease of use, and its rich ecosystem, which includes everything from authentication and security to task scheduling and email integration. The decision to use Laravel was because easy, because I had created my first production ready (client) solution just before, and my juices started pumping when I found out how quickly I could whip out functionality using its quick code generation features using Artisan. Although some might find it weird that I didn't create the solution using .NET C# technology, the possibilities to whip up a SaaS solution with all the authorisation, authentication, and saas supporting code that Laravel already has on board, made me realise how I could use it to build an MVP fast and ship it within weeks.
In hindsight, Laravel laid the groundwork for a flexible and maintainable codebase that can evolve with the project's needs.
The core functionality of LINQ Me Up hinges on its ability to intelligently convert SQL queries into LINQ and vice versa. This was achieved by integrating OpenAI's API, marking a significant milestone in the project.
I chose OpenAI because the first public sparks already set the ChatGPT hype in motion, and I quickly learned how to utilize their chat, got the developer access, and started coding against the API only to find out their models were easy to use. Learning about the hooks and cracks of generating prompts, utilizing best practices and improving my interaction with their models made me create the desired results in a matter of days instead of weeks.
The integration not only enabled smart code conversion but also opened up possibilities for generating LINQ code from data model classes or data samples like JSON or CSV based on user prompts. This AI integration was pivotal, transforming LINQ Me Up from a mere conversion tool to an intelligent assistant for .NET developers.
Where early competition for this niche were using syntax checks and regex features, I knew I had an advantage because every specific case would get its own optimized, context-sensitive output generated. This makes it more reliable and also more flexible when it comes to converting from A to B (or vice versa).
Related AI competition is popping up from time-to-time, but my focus on a micro niche (C# developers and LINQ code generation) still makes me specific and focussed enough from developers to find me now and then.
Handling financial transactions and subscriptions is a critical aspect of any SaaS. Laravel Cashier, with its seamless integration with the Paddle platform, provided a robust solution for managing payments and subscriptions. This combination was particularly advantageous for handling international taxes efficiently, a crucial factor given the global user base of LINQ Me Up. The abstraction layer provided by Laravel Cashier meant that the complexities of the underlying financial transactions were abstracted away, allowing me to focus on product development rather than payment processing intricacies.
Effective communication is key to retaining users and ensuring a smooth user experience. Laravel's built-in mail services, coupled with Brevo (previously SendInBlue), facilitated a reliable email communication channel. This setup enabled everything from account verification emails to password resets, playing a crucial role in user management and engagement.
I had my eye on Digital Ocean for a while. Not because it's the cheapest (it's not expensive with about $16 p/month for my current status, but there are cheaper options). It was the reviews and the online resources that I found on deploying a Laravel application and the easy way you can set up CI/CD with DO's app platform. Whenever I push my code changes to the main branch, DO picks it up, builds the latest version and deploys it. And the best thing is that it does it hot deployable (so there is no visible downtime when switching to the next version.
When you start out with the MVP of your product, nothing is more sweet than rolling out a new version with a simple GIT code push.
Building LINQ Me Up was not without its hurdles. From the technical challenges of integrating AI for code conversion to making decisions about financial transaction management and email services, each step was a learning opportunity.
One of the most significant lessons was understanding the importance of focusing on the core value of the product rather than getting sidetracked by peripheral features. This focus ensured that development efforts were always aligned with enhancing the user experience and meeting the needs of .NET developers.
LINQ Me Up. stands today as a testament to the power of a well-chosen tech stack and the potential of AI in solving specific developer challenges. The journey from an idea to a functional product taught me the importance of adaptability, the value of community support, and the potential of AI to transform tools into intelligent solutions.
Al the features that I added since the MVP version helped me to create a project that I can use for any future SaaS endeavors I will work on. Some features are:
For fellow makers, coders, and online entrepreneurs embarking on building AI startups, the journey of LINQ Me Up. underscores several key takeaways:
Building an AI-empowered SaaS product is a journey fraught with challenges but also brimming with opportunities for innovation and growth. As LINQ Me Up continues to evolve, the lessons learned and the technologies employed will serve as a foundation for future projects.
To my fellow indie hackers, I hope this story inspires you to explore the potential of AI in your ventures, armed with the right tech stack and a clear focus on what truly adds value to your users.
One year after, my micro-SaaS is only creating a small profit, with developers signing on for monthly and even some increase year subscriptions. I hope to get my product in front of more C# developers and possible advertisers that want to reach out to my 2500+ registered (and verified) accounts.
Remember: Code Hard, Ship Harder 🔥
Embarking on this journey has not just been about building a product but about creating a tool that makes a real difference in the lives of developers. LINQ Me Up is a living example of how technology, when applied thoughtfully, can simplify complex processes and empower professionals to achieve more with less.