I am HARSHVARDHAN SINGH CHAUHAN (HarshuBuilds). A product-first software builder based in Jaipur, Rajasthan. This is my manifesto: how I think, how I build, and where I am headed.
Rajasthan is a place where structures endure. In Jaipur, my home, buildings are crafted from pink sandstone, standing strong against the desert sun for hundreds of years. The craftsmen who built them didn't look for shortcuts; they selected the right materials and assembled them with extreme structural focus.
When I first encountered programming, I didn't see text on a screen—I saw a virtual sandstone. Software offered an infinite sandbox where I could write logic to create tools capable of helping people anywhere in the world. I was hooked instantly.
Starting out of sheer student curiosity, my laptop became a workshop. I didn't want to read theories; I wanted to build. The spark was realizing that software allows a single developer to build systems that act as leverage—amplifying human ability.
“Jaipur taught me to appreciate craftsmanship. I don't compile code to solve syntax—I compile it to craft systems that last.”
I believe the web portfolio ecosystem is currently filled with generic layouts and shallow skill collections. I do not collect tech stack keywords. I value utility, speed, design simplicity, and clean code paths.
A perfect codebase that sits idle serves no purpose. I build software to solve actual pain points for real users. Design systems, performance tuning, and clean architecture are vital because they directly impact human utility and respect the user's time.
The fastest way to learn is by deploying. Running 48h hackathons taught me to scope ruthlessly. A working product in production provides the highest fidelity feedback loop. I prefer launching a clean, functional core rather than waiting to build a complex monolith.
LLMs are probabilistic engines. Building reliable AI products requires placing these engines inside deterministic wrapper logic—managing state, telemetry, edge execution, and billing. I treat AI as a powerful computing primitive, similar to a database.
Frameworks and APIs change yearly, but client-server architecture, database indexing, caching strategies, and data structures are eternal. I invest heavily in understanding the underlying layers to write fast, predictable, and scalable software.
Theoretical knowledge is fragile. Building systems under real-world constraints is what creates engineering judgment. Here is how I structure my learning and development loop.
My journey hasn't been a straight line of years. It is an acceleration of mindset shifts—moving from running basic scripts to shipping integrated products with paying customers.
Created ScriptViral, a SaaS platform transforming long-form content into social media posts. Built the entire transaction cycle: Clerk auth, Stripe subscriptions, PostHog telemetry, and async AI generation.
Mindset Shift: Moved from building cool tools to engineering viable software products that capture and retain users.
I choose tools that enable rapid prototyping, high performance at the edge, and type safety. Here are the core stacks I work with regularly:
My journey doesn't stop at creating single-user apps. I am building towards a future founder roadmap. The next chapter is about scaling software products beyond me and creating long-term value.
Moving away from simple API wrappers. Building platforms where AI acts as the core orchestration agent, running tasks, updating state, and making adjustments based on continuous metrics.
Contributing to developer infrastructure. Building libraries, API route utilities, and boilerplate setups that other software creators can leverage to increase their own shipping speeds.
Transitioning SaaS prototypes into a registered, profitable business entity. Learning company structure, user acquisition channels, support pipelines, and developer team management.
“The future belongs to builders who can bridge complex AI pipelines with premium user experiences, respecting human attention above all else.”
— HARSHVARDHAN SINGH CHAUHAN