Statsnbet

Build a scalable analytics product from scratch: fast, intuitive access to the numbers people actually need - with performance, usability, and room to grow features without turning every release into a rewrite.

A React and TypeScript frontend on Tailwind with Redux for predictable UI state, MongoDB for flexible analytics-oriented data access patterns, ESLint and GitHub-backed workflows for consistent delivery, and targeted AI-agent-style automation where it reduced toil - not hype for its own sake.

Analytics surfaces fail when queries feel slow, layouts fight the user, and the stack cannot absorb new metrics. We optimized for snappy interactions, clear information hierarchy, and a codebase that stays reviewable as the team ships.

A product foundation that scales with usage, a calmer path from insight to action, and engineering habits - linting, reviews, trunk-based flow - that keep velocity honest as the roadmap expands.