Shubhansh Gupta

The Problem

Businesses and individuals often need simple, effective landing pages quickly, but traditional builders can be complex or costly, and coding from scratch is time-consuming.

The Solution

I built LandingNest, a web application that leverages generative AI to instantly create and host single-page websites from a simple user prompt. It streamlines the entire process, delivering a ready-to-use site in seconds.

My Role

I single-handedly designed, developed, and deployed the full-stack application, managing everything from the user interface and frontend interactivity to the backend logic and AI API integration.

Tech Stack

The Problem

Early-stage entrepreneurs often struggle to get objective, comprehensive, and quick feedback on their business ideas, leading to wasted time and resources on concepts that may not be viable.

The Solution

IdeaVisor is a SaaS application that acts as an AI-powered business consultant. Users input their business idea, and the tool leverages generative AI to provide a multi-faceted analysis, including Founder-market fit analysis, competitor insights, and potential challenges.

My Role

As the sole creator, I was responsible for the entire project lifecycle. This included designing the user experience, developing both the frontend and backend, integrating the AI APIs, and deploying the final application.

Tech Stack

The Problem

Huge number of returns/exchange due to improper fitting and sizing issues with clothes

The Solution

Aina3D helps fashion brand's customers find the right size first time with 3D avatars and AI recommendations, leading to Higher add-to-cart and conversion rates, fewer size-related returns, and a clearer understanding of which sizes and fits to stock.

My Role

Working with a highly effective team of 4, I am responsible for the project's tech lifecycle. This included designing the user experience, developing both the frontend and backend, integrating the AI APIs, creating proprietary tech, and deploying the final application.

Tech Stack

The Problem

Maintaining a consistent, high-quality social media presence is time-consuming. The daily grind of researching trending topics, writing engaging posts, and creating visuals detracts from core development tasks.

The Solution

I built an end-to-end automated content pipeline. The system uses a self-hosted n8n workflow to research trending topics and generate post ideas with AI. A second Make.com workflow then creates a relevant image and queues the post for a simple, one-click approval in a Google Sheet. Once approved, the system automatically publishes the final post to LinkedIn.

My Role

I single-handedly designed and built the entire automation architecture, integrating multiple platforms (n8n, Make.com) and AI models to create a seamless, hands-off content generation system with a human-in-the-loop for final quality control.

Tech Stack