Go ARIF
No-code AI data analytics platform - turn raw data into explanations, exploration, and actionable insights without writing queries.
Problem
Non-technical teams still need to explore data, explain trends, and act — without waiting on an analyst or learning SQL. ARIF’s product promise is a no-code path from raw data to explanations and next steps.
Role
Software engineer (part-time / product) on the ARIF Analytics platform. Focused on the web product and marketing surface: performance, accessibility, SEO, and UI that holds up under aggressive demo timelines.
What I built
- Product and marketing web experience for a no-code AI analyst that explains data and guides multi-step analysis.
- Responsive UI so demos and day-to-day use stay consistent across devices.
- Performance, accessibility, and SEO improvements when launch and demo pressure was high.
- Clear information hierarchy so non-technical users can move from data → explanation → action without drowning in charts.
Stack
Next.js, TypeScript, Tailwind-oriented UI, and the ARIF analytics product surface (live at app.goarif.co).
Outcomes
- Shipped profile and app experiences under aggressive demo timelines.
- Improved performance, accessibility, and SEO on customer-facing surfaces.
- Supported a product story that non-technical users can explore data without writing queries.
Tradeoffs
- Prioritized demo-ready clarity and speed over deep backend ownership (platform AI/analytics work continues with the wider team).
- Marketing and product UI had to stay in sync so demos didn’t promise a different product than the app.
What I’d do next
Tighter instrumentation on conversion from landing → first insight, and shared design tokens between marketing and app to reduce drift.