ChartStud is an AI-powered analytics workspace designed to help non-technical teams transform raw datasets into interactive dashboards, visualizations, and actionable insights. Upload CSV, XLSX, or JSON files, or connect Google Ads and Meta Ads, with no SQL or technical setup.
My role: Tech Lead and Product Development
Visit ChartStudThe problem
Marketers, founders, and small teams often have data but lack the technical knowledge or infrastructure needed to analyze it efficiently.
The solution
ChartStud gives them one workspace to bring in data, generate visualizations, monitor KPIs, and interact with their data using AI. A user can upload a CSV, XLSX, or JSON file or connect Google Ads and Meta Ads, then get charts, dashboards, and plain-language insights, and ask questions about the data in conversation, all without writing SQL.
Who it's for
Marketers, founders, and small teams, as well as marketing agencies. For agencies, ChartStud has a dedicated plan designed for client workspaces, white-label reports, and a client portal.
Current status
ChartStud is in pre-launch, with a waitlist open.
What I worked on
I built ChartStud with a co-founder. I worked as Tech Lead and on product development, covering the technical architecture and the full-stack implementation. That included database integration, AI integrations, the user interface, and the data visualization functionality.
Why it fits my profile
ChartStud brings my three interests together: the business need for clearer answers from data, the analytics needed to find those answers, and the software that makes them accessible to people who don't write code.
Recognition
ChartStud took part in the UM6P Ventures Explorer Spring 2026 program and placed second in Morocco in the RamadanIA national AI competition. These are project and team results.
Features
- CSV, XLSX, and JSON uploads
- Google Ads and Meta Ads connections
- Plain-language insights
- Data exploration
- Dashboard generation
- Charts and visualizations
- KPI tracking
- AI-powered data conversations
- AI-assisted data analysis
Technology
- Next.js
- TypeScript
- MongoDB
- Mongoose
- Hugging Face open-weight LLMs
- Cloudinary
- Tailwind CSS
- shadcn/ui
My contribution
- Product development
- Technical architecture
- Full-stack implementation
- Database integration
- AI integrations
- User interface development
- Data visualization functionality