TradeProbe
Retail traders were lost between expensive scanners/platforms with Bad UX and scattered YouTube knowledge. TradeProbe is built to change that. When traders told me they were paying thousands for scanners they barely understood, I knew there was a gap to fill. Traders were overwhelmed by data but lacked affordable tools to act fast.
Process
01 PROBLEM
> High cost of tools like TradingView/MarketSmith/TradeZella
> Waiting time is excessive on a strategy
> Lack of structured trader education
> Poor UX for beginner traders
When GPT was just starting to trend, , Walmart sellers were still writing and optimizing product listings manually.
Walmart Seller were spending hours on repetitive tasks.
>\ Sellers lacked automation for product descriptions, SEO, and taxonomy alignment.
>\ Manual workflows caused inconsistent content quality and slower go-to-market speed.
>\ Fragmented tools increased errors and cognitive load, affecting sales performance.
02 JOURNEY
> Research: Interviews with 30+ traders, competitor analysis
> Branding: Logo, color palette, type system → trader-first identity
> Wireframes: Flows for scanners, watchlists, alerts, and learning modules
> Design System: Reusable components for scalable development
> UI Design: Light & dark dashboards, academy section, mobile optimization
> Marketing Collab: Landing pages, ads, creatives
Collaborated with Anurag Gupta and Sumit Kapoor (Co-Founders, Zorang) to conceptualize a scalable AI content management solution.
> Conducted market and user research with Walmart sellers to uncover inefficiencies.
> Defined user personas and mapped content creation workflows.
> Designed low-to-high fidelity wireframes in Figma with iterative feedback loops.
> Integrated OpenAI APIs to power content generation, taxonomy tagging, and SEO insights.
> Led the design team and tested AI-powered modules before GPT tools became mainstream.
> Positioned ContentHubGPT as a SaaS-ready platform for enterprise sellers.
03 SOLUTION
>\ Dashboard: Real-time scanners, insights, watchlists
>\ Academy: Structured trader learning flow
>\ Design System: 50+ reusable components for dev speed with own design system and language with the support of SHADCN UI library
>\ Branding: Logo(with iterations) + design guidelines + iconography
Designed and developed an AI-powered content automation platform that simplified the end-to-end process of managing product listings.
>\ Content Generation: AI-based copywriting tailored to Walmart's tone and SEO needs.
>\ SEO Enhancement: Automated keyword analysis and real-time optimization scoring.
>\ Taxonomy Alignment: Smart tagging and category matching for marketplace compliance.
>\ Dashboard UX: A clean, modular layout enabling fast navigation and seamless uploads.
>\ Branding: Minimal SaaS visual identity later adapted to GSPANN's enterprise design system.
04 RESULTS
>\ 200+ paying users within 3 months of beta
>\ Raised ₹18L funding for 4.5% equity
>\ 30% retention lift after academy module release
>\ 25% reduction in onboarding drop-offs
>\ Saved 40% design/dev time per sprint
After acquisition, ContentHubGPT became a core part of GSPANN's AI suite for digital commerce.
>\ 40% reduction in listing time
>\ 82% improvement in user engagement after UI/UX revamp under GSPANN.
>\ 30% increase in conversion rate for AI-enhanced content.
>\ 🧩 Platform played a key role in Zorang's acquisition by GSPANN.
>\ Now scaled for enterprise clients as part of GSPANN's GenAI suite.
